The Marketing Efficiency & Attribution Playbook: What Today’s CMOs Are Tracking RevOps 10 min Marketing attribution and efficiency metrics are becoming more critical than ever. CEOs want to know how to allocate budgets effectively across marketing, sales, and product. Investors seek clear insights into ROI. And marketers themselves need to track performance by channel and initiative to optimize their efforts. Yet, in B2B marketing, where deal cycles are long and touchpoints span multiple teams, tracking and proving marketing’s true impact is easier said than done. A recent Marketing Budget Benchmark Study by Ray Rike, Jon Miller, and Bill Macitis reveals key insights. sheds light on how top B2B marketers are approaching efficiency and attribution. Let’s explore key takeaways and how you can apply them to your own marketing strategy. What are CMOs Tracking? The Top 3 Metrics When asked about their top three performance metrics, CMOs consistently focused on: Pipeline Generation – Ensuring a steady flow of qualified leads for sales teams. Annual Recurring Revenue (ARR) – Measuring the long-term revenue impact of marketing efforts. Marketing Qualified Leads (MQLs) – Tracking lead volume and initial qualification. Notably absent from the top three were cost-related efficiency metrics, such as cost per opportunity or customer acquisition cost (CAC). This suggests that many marketing leaders are still primarily focused on volume rather than efficiency—raising the question of whether marketing investment is being optimized for maximum impact. Why Efficiency Metrics Matter While pipeline and ARR are crucial, failing to measure marketing’s efficiency can lead to wasteful spending and missed opportunities. The study revealed that larger companies tend to measure: Cost per Dollar of Pipeline – Connecting marketing spend to potential revenue. Marketing Cost per New Customer (New Logo Revenue) – Assessing acquisition efficiency. Cost of Expansion Revenue – Tracking marketing’s role in upsells and renewals. Interestingly, cost per expansion revenue remains under-tracked in many organizations, despite its importance in retention and growth strategies. In many cases, marketing’s contribution to expansion revenue is undervalued compared to account management teams.   Attribution Models: What’s Working and What’s Not Accurately attributing revenue to marketing efforts remains one of the biggest challenges in B2B. The benchmarking data highlighted five primary attribution models: First-Touch Attribution – Identifies the first interaction a prospect had with the brand. While useful for understanding top-of-funnel performance, it overlooks the full buyer journey. Last-Touch Attribution – Credits the final touchpoint before conversion. This model can be misleading, often over-attributing conversions to channels like paid search or SDR outreach. Multi-Touch Attribution – Allocates credit across all touchpoints in the buyer journey. While comprehensive, it often struggles to account for offline influences and brand awareness efforts. Marketing Mix Modeling (MMM) – Uses statistical analysis to measure the impact of different marketing activities. This approach requires significant data and investment, making it more common among large enterprises. A/B Testing – While not a full attribution model, controlled experiments can help validate the impact of specific marketing strategies. How Attribution Matures with Company Growth As companies scale, their approach to attribution evolves: Early-Stage Startups (<$5M revenue) – Often track deals manually, analyzing each conversion on a case-by-case basis. Pre-Scale Companies – Rely heavily on inbound metrics, focusing on organic sources like referrals and word-of-mouth. Scaling Companies – Experiment with first- and last-touch models but face growing pains in attribution accuracy. Mature Companies – Use multi-touch attribution combined with first- and last-touch insights to inform strategy and budgeting. Despite its potential, Marketing Mix Modeling remains underutilized in B2B tech, with adoption still below 10%. However, as organizations gather more data and refine their analytics capabilities, this approach may gain traction. The Future of Marketing Measurement To build a more efficient marketing function, leaders should move beyond simple volume metrics and embrace a more holistic approach: Adopt Blended Cost and Revenue Metrics – Instead of just tracking cost per pipeline, measure cost per revenue to better justify budget allocation. Use Multiple Attribution Models – No single model provides the full picture. A combination of first-touch, last-touch, and multi-touch insights offers better visibility. Prioritize Expansion Revenue Tracking – Marketing plays a key role in customer retention and upselling. Failing to measure its impact means missing a major component of revenue growth. By focusing on both pipeline growth and efficiency, marketing teams can drive stronger results and make a more compelling case for continued investment. Bhaswati Director of Content Marketing at Nektar.ai, an AI-led contact and activity capture solution for revenue teams. With 11+ years of experience, I specialize in crafting engaging content across blogs, podcasts, social media, and premium resources. I also host The Revenue Lounge podcast, sharing insights from revenue leaders. In this blog

Intelligent Sales Automation: How AI is Transforming Sales Processes RevOps 10 min Imagine this. You’re a sales rep juggling emails, follow-ups, and endless data entry. Your coffee is cold, your CRM is a mess, and before you know it, half your day is gone, with barely any actual selling done! Sounds familiar? You’re not alone. Sales studies reveal that professionals only sell 22% of the time. The rest goes to manual tasks. The result? Missed opportunities, slow sales cycles, and lost revenue. What if you had a super-powered assistant? It could handle the dull tasks, study customer behaviour, and forecast future sales trends. Intelligent Sales Automation does just that, using the magic of AI sales tools. By leveraging automation, businesses can streamline operations, boost efficiency, and maximize sales performance. This guide looks at the benefits of smart sales automation. We’ll share real-world examples and show how AI is changing sales strategies for success. What is Intelligent Sales Automation? Intelligent sales automation uses AI, machine learning (ML), and data analytics to automate repetitive sales activities. To optimize decision-making, these technologies analyze customer interactions, CRM systems, and market trends. Integrating AI sales tools lets businesses generate more leads, personalise interactions, and raise conversion rates—all without manual effort. How AI Enhances Sales Automation Artificial Intelligence (AI) has revolutionised the sales landscape. Here’s how AI-driven sales tools are making an impact: Customer Data Analysis: AI analyses sales conversations to identify trends and buying patterns. Predictive Sales Forecasting: Machine learning models provide accurate revenue predictions. Automated Email Sequences: AI personalizes follow-up emails based on customer behavior. Lead Scoring & Prioritization: AI ranks leads based on conversion potential. Chatbots for Instant Support: AI chatbots engage prospects and answer queries in real time. AI in sales is growing at an exponential rate, with adoption expected to surge by 139% between 2020 and 2023. Companies using AI-driven automation are finding a competitive edge. They boost efficiency and make sales cycles faster. 7 Powerful Use Cases of Intelligent Sales Automation 1. CRM Data & Contact Automation The Problem: Sales representatives spend a significant amount of time manually entering and updating customer data in CRM systems. In fact, 71% of sales reps cite manual CRM entry as a major time drain, leading to inefficiencies and lost selling opportunities. The AI Solution: AI-powered CRM automation streamlines data entry by capturing key customer details automatically. These intelligent tools extract information from emails, meeting notes, and other customer interactions to populate CRM fields accurately. This not only reduces manual errors but also ensures that sales reps have the most up-to-date customer insights at their fingertips. As a result, teams can spend more time engaging with prospects and closing deals rather than on administrative tasks. 2. AI-Driven Lead Management The Challenge: Generating leads is only the first step—effectively managing them determines conversion success. Companies that implement high levels of sales automation see a 16% increase in lead generation. However, manual lead qualification and follow-up can result in inefficiencies and lost opportunities. The AI Solution: AI-powered lead management takes the guesswork out of lead prioritization. Advanced algorithms assess lead behavior, engagement patterns, and historical data to score leads based on their likelihood to convert. Automated nurturing sequences then ensure timely and personalized follow-ups, keeping prospects engaged throughout the sales funnel. With AI handling lead segmentation and prioritization, sales teams can focus on high-value opportunities, boosting conversion rates. 3. Intelligent Sales Forecasting Why It Matters: Accurate sales forecasting is critical for business planning, resource allocation, and revenue growth. Yet, many sales teams struggle with imprecise forecasts due to reliance on outdated methods or incomplete data. The AI Solution: AI-driven forecasting analyzes historical sales data, market trends, and customer behaviors to generate highly accurate sales predictions. These insights allow sales leaders to make informed decisions regarding inventory, staffing, and revenue goals. AI also continuously refines its predictions by learning from new data, ensuring forecasts remain relevant and reliable over time. 4. AI Chatbots for Customer Support The Trend: AI-powered chatbots have experienced a 92% growth since 2019, highlighting their increasing role in customer interactions. The AI Solution: AI chatbots provide 24/7 support, instantly answering queries, assisting with product recommendations, and resolving customer concerns. These bots use natural language processing (NLP) to understand customer intent and deliver personalized responses. By handling routine inquiries, chatbots free up human sales agents to focus on complex, high-value conversations, ultimately improving customer satisfaction and efficiency. 5. Personalized Email Campaigns The Challenge: Generic email campaigns often fail to capture customer interest, leading to low engagement and poor conversion rates. The AI Solution: AI-driven email automation creates hyper-personalized content based on customer preferences, purchase history, and behavioral data. These intelligent systems craft subject lines, body text, and call-to-actions tailored to each recipient, significantly increasing open rates and conversions. By optimizing send times and content relevance, AI ensures that prospects receive the right message at the right time. 6. AI-Powered Sales Analytics The Insight: Understanding customer behavior and sales performance is key to refining strategies and boosting revenue. The AI Solution: AI sales analytics tools track sales trends, customer interactions, and conversion rates in real-time. These insights enable sales teams to identify successful tactics, pinpoint weaknesses, and adjust their strategies accordingly. AI also provides predictive analytics, helping businesses anticipate customer needs and proactively address market changes. 7. Sales Gamification for Performance Boost The Stat: A whopping 90% of employees say gamification improves their productivity, making it a valuable tool for sales motivation. The AI Solution: AI-powered gamification systems track sales performance, rewarding top performers with incentives, leaderboards, and performance-based challenges. These systems create a competitive yet engaging environment that motivates sales teams to achieve their targets. By integrating AI insights, gamification strategies can be customized to match individual and team goals, fostering a culture of continuous improvement. How Intelligent Sales Automation Benefits Businesses Let’s look at how sales automation actually benefits businesses:   1. Automates Repetitive Tasks The Impact: Businesses can automate over 30% of sales activities, significantly freeing up time for strategic selling. The

Top 5 Trends That Will Impact Sales Operations in 2025 RevOps 10 min Sales operations has become one of the fastest growing functions over the last few years. According to LinkedIn’s State of Sales Operations 2021 Report, the number of sales operations professionals increased by 38% around the world between 2018 and 2020. What’s the reason behind this growth? Bradley Gray, Director of Business Development at Enterprise Holdings attributes two reasons for the growth in this role. There has been a significant increase in the amount of data that gets generated within organizations. The proliferation of data is creating a need for sales operations to generate contextualised insights for sales teams to succeed.   RELATED RESOURCE : SALES OPERATIONS TRENDS FOR 2025   A well run sales operations function enables businesses to operate efficiently with data-driven decisions, and also identify gaps that exist in the sales process, and help fill them up through analytical insights.  In short, a great sales operations function can help an organization unlock massive productivity gains.  To make the most out of your sales operations function, it is important to be aware of the trends that will shape in 2025 (and beyond). Let’s take a look. 1. Multithreading Will Be a Key Sales Tactic The world is in the midst of a great reshuffle for talent. The turnover among corporate director-level-and above, that constitutes the majority of B2B buyers, increased by 31% in 2021. With key people in the B2B buying committee quitting jobs so often, many deals fall apart because reps fail to develop strong relationships with more than one buyer. And with an average of 6.8 decision makers in every B2B purchase, not having strong relationships with all of the key players within the buying committee can be a big risk. When a key stakeholder leaves the organization, reps are forced to start from scratch, causing 80% of them to lose deals. Having just one primary contact for an account, or single-threading, thus increases the chances of missing out on deals. This is where adopting multithreading as a sales practice becomes extremely crucial. Multithreading is when reps form relationships with multiple stakeholders on the buying committee of an account.  This way, even if the primary stakeholder quits the organization, reps can capitalize on the relationships they have with the rest of the stakeholders within that account. Multithreading increases the chances of closing a deal by 16%. Successful sales teams in 2025 will master multithreading by gathering champions, influencers and decision-makers, and engaging with them on a regular basis. 2. An Increase in Regulations Will Impact Tech Stack Decisions There has been an increase in the number of regulations across the globe around protection of consumer information and data privacy.  Non-compliance of these regulations can be a huge cost. Organizations lose an average of $4 million in revenue due to a single non-compliance event.  To prevent such events from taking place, sales and revenue leaders must narrow down on their tech investments from a compliance-first lens. With the world increasingly moving towards a cookie-less world, highly compliant first-party data will become key in helping sales teams make data-driven decisions. First-party data is the information that is handed off with consent from a user to a company. This can be from sources like email, calendar, Zoom or other tools that buyers use.  For example, organizations can use their own first-party data to drive contextual insights that can help them make their sales operations function more efficient, while staying compliant with GDPR regulations.  Forward thinking leaders will realize this and take control of their first-party data in 2025, and use it to make powerful data-driven decisions.  Technologies like artificial intelligence can help enrich CRM with first-party buyer and seller interaction data. Nektar has built an advanced data capture solution that intelligently connects first-party data to the CRM and enriches it for sales teams. 3. AI Based Guided Selling Will Help Sellers Win More Deals B2B sales is getting increasingly complex, with buyers getting bombarded with information across channels, and sellers tackling multiple tasks and responsibilities while chasing their quota. AI based guided selling is helping sellers navigate this complex selling environment by helping them improve their sales execution through a data-driven approach.  Along with increasing productivity, AI based guided selling helps identify patterns that lead to more intelligent business decision making, ultimately helping in revenue generation. The pandemic exposed cracks in many organization’s sales processes. Knowing that sales process discipline must be improved to increase the chances of closing new deals, sales leaders are investigating new data-driven, AI-based guided selling functions for improving sales execution. Tad Travis, VP, Gartner AI-based guided selling offers prescriptive as well as predictive insights to sellers to close more deals.  From a prescriptive lens, it recommends the next best actions for sales reps and managers to undertake within the sales process. As an example, organizations can use AI to improve their playbook compliance within teams for consistent selling.  From a predictive lens, it offers insights that help identify lead indicators to make the sales process more efficient.  For example, by having insights on the activity data of sales reps, sales managers can define which deals are real and which need to be eliminated from the pipeline. With such functionalities, sales teams can decide on what to do next to move a relationship, deal or quote forward on the basis of analytics (rather than relying on instinct to make decisions). 2025 will see organizations add AI based guided selling solutions to their tech stack. 4. Training in Consultative Sales Will Take Priority Today’s B2B buyers prefer to conduct their own research before they speak with sales reps.  According to research, most buyers engage with more than 13 pieces of content before connecting with a seller.  Forrester’s research found that buyers went to all forums for information in 2021 – from webinars and online events to learn about the category and competitors, to speaking with peers and industry experts to have their questions answered. These changes in buyer preferences have raised the bar for sales. Understanding the buyer’s intent and offering them personalized solutions

Revenue Leader Caroline Holt on Putting Together the Best Sales Tech Stack RevOps Sales Techstack 10 min Extracting value from a sales tech stack continues to be a frustrating challenge for revenue leaders. Budget freezes across the board have forced revenue leaders to be more mindful of the tools they add to their tech stack. But it can be a daunting project to undertake with the market being so crowded with tools across multiple categories.How can revenue leaders select the best tools for their tech stack? How can they derive value from this steep investment? And how can they make their sales teams more productive? We sat down with Caroline Holt, VP Revenue Training & Enablement at Bonterra, to unpack some of these nuances around creating the best sales tech stack. Caroline shares some brilliant insights on how revenue leaders can create the best sales tech stack. And make the process more efficient and effective. If you’re short on time, here is a quick summary of the conversation.   If you enjoy our discussion, check out more episodes of our podcast. You can follow on iTunes, Spotify, YouTube or grab the RSS feed in your player of choice. What follows is a lightly edited transcript of the episode. The Sales Tech Landscape Has Exploded & Disrupted Sales   Abhijeet: Caroline, thanks for coming on the show. Caroline: Thank you so much for having me. Abhijeet: You’ve been in the sales tech industry for quite some time. How have you seen it change over the last few years? Caroline: Well, it has not only transformed. But it has exploded, right? Technology has disrupted sales. I think the buying process in some cases has not changed over the last 20 years, but the way we sell and the way that the buyer wants to purchase has changed. So when I think about my role as a BDR early on, I was calling, I was faxing, I was emailing. But I could get to someone typically. And I think in some cases the proliferation of things like cadence tools that allow people to drop somebody into a constant flow of information has actually hindered our ability to get to people that we want, who might actually need what we need to do. So to the overarching question of how technology has changed, I think in some ways it’s changed in a really incredible way. Because I am an efficiency geek. I like removing friction from the sales process. But I think that sometimes we actually get in our own way because of how we purchase technology. I think of the tech stack in terms of where your business is and what you need to be successful. And I think that’s actually the biggest challenge right now. The first thing that I would say is that when you think about technology, it’s a great solution if you have a really good process to start with. And people to manage the automation, ongoing configuration, updates, maintenance, and so on. CarolineHolt VP, Revenue Training and Enablement Technology is going to be great at a foundational level. So the first thing you need is a way to engage with people, whether that is your regular old telephone and email, or whether that is some sort of a dialer tool where you’re capturing that information. And then you need some place for that information to live. So you need some sort of CRM to be able to capture that information, figure out who you’ve been talking to, what that’s been like, if you’re opening opportunities, what that opportunity looks like. Then you need to figure out what’s actually happening in those calls.  And then that you can analyze a lot of that data over time in terms of what people are saying in aggregate. So our whole roadmap should be focused on it. It  provides just a really powerful level of insight. But I think for a lot of organizations, they don’t ever optimize those parts of the tech stack, and then they start adding new stuff. They either haven’t gotten it right the first time, or they think that that’s table stakes.  That foundational piece, particularly the architecture around the CRM, if that stuff isn’t right, none of the other tech is really that helpful because you wind up buying stuff and building stuff that doesn’t really help that whole flow from who are we talking to, what are we talking to them about, what’s happening with those deals to closing those deals. Caroline Holt VP, Revenue Training and Enablement So that’s a really simplistic way of thinking about sales technology. But I would say that most organizations need to start with those fundamental pieces and then start thinking about, okay, once we know, now we need to figure out who those prospects are. So what sort of technology is gonna help us identify who those folks are. So how you build that stuff over time becomes really powerful. And then what you do with that data and analytics becomes really powerful over time. But sometimes people invest really quickly in a lot of technologies, but they never really optimize them for performance. So the other part is just thinking about having what you can actually bite off in terms of tech investments in any given year to be able to do the right thing for your business.  Where is Sales Tech Heading Towards?   Abhijeet: If you don the hat of a sales leader who’s going to spend a hundred dollars this year across the technology stack, how should they go about their investment approach? Where should those a hundred dollars be allocated?  Caroline: So I would say that like everything in enablement or any of the back office operations, it’s where are your problems? So if the business should be investing based on what technology is going to actually help them be more effective, where they’re less effective than they could be today. So

10 Best Revenue Operations Software for 2025 RevOps 10 min Achieving revenue goals is challenging, irrespective of the size of your sales operations. Your sales team can face numerous challenges, including managing complex sales processes, streamlining data, and aligning sales, marketing, and customer success efforts. Fortunately, revenue operations software simplifies how businesses optimize their sales performance. Revenue operations software empowers sales teams to bridge the gap between strategy and execution. Leveraging automation and advanced analytics allows these tools to provide a streamlined approach to manage sales operations and drive revenue growth. Tune in to our exclusive podcast – The Revenue Lounge, specially curated for Revenue Operations Professionals. Here’s a latest episode: Ep #1: Hubspot Customer Retention With RevOps ft. Sid Kumar This article looks at the top 10 revenue operations software solutions leading in 2025. Let’s uncover the best solutions and understand how they can position your sales team for success. 10 Best Revenue Operations Software Here are the ten best revenue operations software to consider for your business in 2025: 1. Nektar 2. Gong 3. Groove 4. HubSpot Operation Hub 5. Aviso 6. Kluster 7. Fullcast 8. Breadcrumbs 9. InsightSquared Analytics 10. Chorus What is Revenue Operations? Revenue operations or RevOps is an end-to-end operating model that helps organizations run their business in an interconnected way across GTM functions like sales, marketing and customer success. A tight alignment of the GTM model enables organizations to drive predictable revenue.  The role of RevOps is to drive visibility, accountability and transparency across the entire revenue funnel, improve efficiency across a unified revenue process, and unlock potential for revenue growth. RevOps connects teams, processes and people that have been otherwise functioning in silos. It also aligns them to work towards common revenue goals. Overview of 10 Best Revenue Operations Software   1. Nektar Nektar is an AI for revenue operations that drives funnel efficiency by plugging your CRM data holes/gaps and discovers hidden revenue from your customer interaction data. The software provides a unified contact and activity capture solution that ensures CRM data integrity and hygiene, resulting in a clear picture of revenue intelligence. Nektar offers a robust data capture and intelligence layer purpose-built for revenue operations. It enables sales teams to capture and consolidate critical data from various sources. Sales teams can get a comprehensive and holistic understanding of the pipeline. With Nektar, there are no more scattered information and data silos. You get a centralized platform that empowers your team to make data-driven decisions. Key features: Actionable pipeline visibility in real-time Accurate and comprehensive CRM data and reporting Enriched contact data for account-based selling Enhanced ROI for your sales tech stack 2. Gong Gong’s revenue operations software allows RevOps leaders to capture activity data from every touchpoint and unlock superhuman forecasting abilities. Gong’s RevOps platform leverages artificial intelligence (AI) to analyze customer interactions across sales and customer success. It provides invaluable insights into deals, pipelines, and team performance. Gong is your partner in breaking down barriers and aligning your sales, marketing, and customer success operations. Harnessing the power of Gong’s RevOps software will help your team seamlessly collaborate and work in tandem. It will drive revenue growth and customer satisfaction. Key features: Clean activity data Pipeline visibility Deal risk warnings Closed-lost analysis 3. Groove Groove is a revenue intelligence and operations software that offers complete transparency. It provides advanced activity capture capabilities for reps, managers, and operations teams. With Groove, organizations can rely on real-time Salesforce reporting and collaborate on account lists. Furthermore, the platform offers insights into the entire buying committee and allows to conduct interactive pipeline reviews. Groove enables organizations to capture and track critical sales interactions in real time through its advanced activity capture technology. It allows reps, managers, and ops teams to stay up-to-date on the progress of deals. Sales teams can also quickly generate comprehensive reports within Salesforce to get insights into sales performance. Key features: Advanced activity capture Auto contact capture Opportunity and pipeline management 4. HubSpot Operations Hub HubSpot Operations Hub allows your entire team to stay aligned with a clean and connected source of truth for customer data. It enables your business to adapt seamlessly to the ever-changing needs of your customers. With Operations Hub, organizations can sync data across various systems, ensuring customer information is up-to-date and accessible in one centralized location.  Operations Hub helps maintain data integrity and eliminates inconsistencies by cleaning and curating customer data. The platform offers other tools, including programmable automation, data sync, and data quality tools.  Key features: Data sync Data quality automation Data quality command center (BETA) 5. Aviso Aviso is a conversational intelligence software that provides revenue leaders with a clear path to plan and key deal actions to accelerate success. It enables sales operations and planning teams to track progress and course correct. With Aviso’s AI-powered capabilities, revenue leaders gain valuable insights that help them confidently navigate their portfolios. Leveraging advanced algorithms, Aviso provides a predictive view of revenue. It allows leaders to anticipate potential outcomes and make informed decisions.  Key features: Advanced view of sales metrics filtered by product/team Advanced briefing for forecast calls Human and AI combination to close deals faster 6. Kluster Kluster is a revenue operations software that enables businesses to build repeatable processes. They can also scale their sales funnel and deliver reports on time, every time. With Kluster, organizations can optimize their revenue operations for consistent and predictable success. Leveraging Kluster’s intuitive tools and workflows allows organizations to establish standardized and efficient sales processes. It ensures every deal follows a consistent path. There are maximized chances of success and minimized errors or missed opportunities. Organizations can also track and analyze key metrics throughout the sales funnel, from lead generation to closing deals.  Key features: Build repeatable process Scale your funnel Deliver reports on time every time 7. Fullcast Fullcast is a revenue operations software that enables businesses to improve RevOps efficiency. Organizations can create territory, quota, and capacity plans without relying on complex spreadsheets. Operations teams can painlessly align their activities with the strategy and eliminate hours of manual effort. With Fullcast’s intuitive interface and

9 Sales Commission Software for 2025 RevOps 10 min What is Data Enrichment? The sales landscape in 2025 is defined by hybrid workforces, AI-driven decision-making, and hyper-personalized incentive structures. As companies navigate global expansion and complex compensation models, legacy tools like spreadsheets are being replaced by intelligent platforms that automate calculations, predict outcomes, and align incentives with business goals. Modern sales commission software now integrates seamlessly with CRMs, ERPs, and collaboration tools, offering real-time visibility, compliance assurance, and actionable insights. In this guide, we explore the top 9 platforms reshaping commission management in 2025, highlighting their unique strengths, pricing, and use cases to help you choose the perfect fit for your team. Top 9 Sales Commission Software for 2025 Spiff ElevateHQ Everstage Anaplan QuotaPath Xactly Performio SalesCookie OpenComp What is Sales Commission Software? Sales Commission Software is a type of tool that helps businesses manage their sales commission calculations and payments to their sales representatives. Basically, it helps companies keep track of how well their sales are doing, figure out how much commission their salespeople should be earning based on different factors like sales targets, and even automate the whole commission payment process. Think of it as your reliable companion in the sales world. It takes the guesswork out of the equation and provides a streamlined process for businesses to accurately determine the commissions owed to their sales team. 1. Spiff Spiff dominates the market with its AI-powered “Commission Cortex,” which predicts quota attainment and recommends incentive adjustments. Trusted by high-growth SaaS and fintech companies, it’s ideal for scaling teams needing dynamic, data-driven plans. Key Features: Predictive Analytics: Forecast earnings using historical data and market trends. Dynamic Quota Management: Auto-adjust quotas based on rep performance. Integrations: Salesforce, HubSpot, Slack, Microsoft Teams, Netsuite. Rep Experience: Mobile-first dashboards with gamified progress tracking. 2. ElevateHQ ElevateHQ excels in global compliance, offering automated tax calculations and audit trails for enterprises. New in 2025: Blockchain-powered commission ledgers for tamper-proof records. Key Features: Multi-Currency Payouts: Supports 50+ currencies with real-time FX rates. Compliance Hub: GDPR, CCPA, and SOC2 compliance tools. Approval Workflows: Streamline disputes with in-app resolution channels. ERP Integrations: SAP, Oracle, Workday. 3. Everstage Everstage’s no-code platform now includes AI-driven “Incentive Co-Pilot,” which designs comp plans tailored to rep behavior. Popular among mid-market agencies and consultancies. Key Features: Drag-and-Drop Rules: Build SPIFFs, bonuses, and clawbacks without IT help. Rep Retention Analytics: Identify at-risk reps using engagement metrics. Collaboration Tools: Comment threads and @mentions for plan feedback. Integrations: ZoomInfo, LinkedIn Sales Navigator, Stripe. 4. Anaplan Anaplan’s enterprise-grade platform now offers a “Compensation Workbench” for modeling M&A scenarios and harmonizing plans post-acquisition. Key Features: Territory Optimization: Balance workloads using AI-driven territory mapping. Scenario Modeling: Simulate comp plan changes on revenue and margins. Security: FedRAMP-certified for government contracts. Integrations: Snowflake, Tableau, Salesforce CPQ. 5. QuotaPath QuotaPath remains a top choice for small to medium-sized businesses (SMBs) and remote sales teams in 2025, thanks to its intuitive design, affordability, and focus on transparency. Designed to simplify commission management, it empowers reps to track earnings in real time while giving managers tools to align incentives with business goals. Below is a comprehensive breakdown of its 2025 features, pricing, and use cases: Key Features  AI-Powered CoachBot ChatGPT-4 Integration: Reps receive real-time coaching via an in-app chatbot. For example, asking, “How can I hit 120% quota this quarter?” triggers personalized tips based on historical performance and team benchmarks. Skill Gap Analysis: The AI identifies weak spots (e.g., low conversion rates) and recommends training modules or playbooks. Gamification & Motivation Tools Live Leaderboards: Reps compete for badges like “Closer of the Month” or “SPIFF King.” Milestone Celebrations: Auto-generated shoutouts in Slack/Teams when reps hit targets. Free Tier for Startups Unlimited Plans: Manage up to 10 users at no cost, with access to core features like commission tracking, basic reporting, and QuickBooks/Xero sync. Ideal for Bootstrapped Teams: Perfect for early-stage startups testing comp structures. Self-Service Rep Portals Earnings Simulator: Reps model “what-if” scenarios (e.g., closing 5 more deals) to forecast commissions. Mobile App: iOS/Android app with push notifications for quota progress and payout approvals. Enhanced Integrations (2025) CRM: Salesforce, HubSpot, Pipedrive. Payroll: Direct sync with Gusto, Rippling, and ADP. Collaboration: Slack, Microsoft Teams, Zoom. Advanced Analytics for Managers Quota Attainment Trends: Spot seasonal patterns or team-wide bottlenecks. Payout Accuracy Reports: Flag discrepancies between forecasts and actuals. 6. Xactly Xactly solidifies its position as a powerhouse for enterprise-grade incentive compensation management (ICM) in 2025, combining generative AI, deep compliance tools, and ESG-aligned incentives. Trusted by Fortune 500 companies and global enterprises, Xactly streamlines complex comp plans while ensuring transparency and scalability. Below is a deep dive into its 2025 capabilities: Key Features –  Generative AI for Comp Design Auto-Generated Plan Docs: Describe goals in plain language (e.g., “Create a plan with accelerators after 100% quota attainment”) and let Xactly’s AI draft policies, saving 10+ hours/month. Smart Clause Library: AI suggests compliance-approved clauses for territories, clawbacks, and SPIFs. ESG-Linked Incentives Sustainability Metrics: Tie commissions to ESG goals (e.g., bonuses for reps who onboard eco-friendly suppliers or reduce carbon footprints). DEI Analytics: Track pay equity across gender, ethnicity, and role to ensure fairness. Global Compliance Hub Tax Automation: Auto-calculate VAT, GST, and income tax for 100+ countries. Regulatory Updates: Real-time alerts for changes in labor laws (e.g., EU AI Act, California SB 749). Predictive Territory Planning AI Territory Mapping: Balance workloads by analyzing deal size, rep capacity, and market potential. Scenario Modeling: Simulate mergers, territory splits, or product launches to forecast revenue impacts. Advanced Security & Governance SOC2 Type II & ISO 27001 Certified: Meet strict data security standards for healthcare, finance, and government sectors. Audit Trails: Track every comp plan change with user-level timestamps. Integrations (2025 Expansion) CRM: Salesforce, Microsoft Dynamics, HubSpot. HRIS: Workday, SAP SuccessFactors, BambooHR. Analytics: Tableau, Power BI, Snowflake. Sustainability Platforms: Salesforce Net Zero Cloud, Watershed. 7. Performio Performio emerges in 2025 as a data-first sales commission platform, tailored for enterprises needing real-time analytics, IoT integration, and seamless payroll processing. Designed for

Top 5 Trends That Will Impact Sales Operations in 2025 RevOps 10 min The sales operations function went through dynamic changes this past year. Economic uncertainties in 2023 killed the “growth at all costs” model.  In 2025, budgets will be tighter, talent scarce and selling more challenging. All these challenges make one thing clear –  Delighting customers at every turn is what matters.  If we walk backwards from this larger goal, it requires a maniacal focus on the customer. What do customers really need? How can they be assisted? How can they be helped with making confident purchase decisions without seeming pushy? To achieve this, sales teams have to meet customers where they are, at the right time. And act as their trusted advisors.  Having complete visibility into the customer journey from lead to cash (to renewal and expansion) is critical to survive what lies ahead. The new mantra for sales operations in 2025 will be to “build a seamless customer journey.” This article will cover the top sales operations trends that 2025 can expect. It’s vastly different from the trends we saw last year. Which is a testament to the fact how fast things are changing in the B2B sales world. What is Sales Operations or SalesOps? Sales Operations refers to the function, role, activities or processes within a sales organization that help sales reps sell faster and better. This department is responsible for reducing frictions within the sales process. It enables reps to achieve higher win rates in a predictable and repeatable manner. The sales operations function strategizes on ways that can help sales reps focus on tasks that contribute to revenue. This includes implementing sales training, investing in tools and technology that eliminate roadblocks in selling, or creating processes that optimize the sales process for all reps. The ultimate goal of a sales operations function is to create a sales engine that runs smoothly. The sales operations function has a direct impact on business revenue. This department continues to be a strategic component of an organization’s structure. Top Trends To Expect in Sales Operations in 2025 B2B sales has been evolving at a rapidly fast pace, making traditional processes of operations obsolete. Some of the biggest challenges facing sales operations today include: 72% of B2B buyers demand a rep-free experience. 47% sellers say their sales tech stack does not boost their productivity or improves results. Close to half of operations professionals say that processes within their companies are only moderately data-driven or not data-driven at all.  The confidence of operations professionals dipped over the last two years. As companies hold back on investments because of the downturn, sales leaders will have to devise new ways to survive and sustain in 2024. This puts sales operations in a unique position to help organizations navigate these new challenges.  By embracing innovation and pivoting at the right time, sales operations leaders can provide some much needed relief in the tough months that await. They can do this by staying on top of these trends that demand attention: 1. Reduce Technology Overwhelm Among Sellers 2023 was the year of AI. The space of sales technology was already an exhausted field, and artificial intelligence tools just got added to the mix in 2023.  But too many tools also cause overwhelm among salespeople.  As high as 49% of sellers feel overwhelmed by the tech they are required to use for their jobs. This reduces the likelihood to attain quota by 43%. More tools in the tech stack add the burden of deployment, management and adoption. The goal for sales leaders is to evaluate what they have, consolidate wherever they can and optimize their tech stacks to improve productivity and execution across every role. Bloated tech stacks can also create many problems in disguise and add to a lot of hidden costs such as cost of integrating, tool fatigue, cost of siloed data and much more.  Which is why 2025 will be the year of tech stack consolidation.  Tech stack consolidation is the process of reducing the number of tools in a company’s tech stack by merging functionalities into lesser and more exhaustive platforms. The goal of consolidation is not to knock down all of the investments in point solutions that already exist. It demands a structured approach in analyzing which tools offer real value for sales teams. And eliminate tools that don’t add any merit to their day to day workflows. Sales leaders will have to do a cross-functional exercise to identify what their top use cases are for sales operations. And lay down a complete technology roadmap against these use cases.  Teams that use tech stack that enable the full sales motion, from creating pipeline to closing deals are more likely to meet their revenue goals. A lean and fully capable sales tech stack is a reality as companies look to consolidate vendors while retaining the features and capability of their previous array of point solutions.  If you are also looking to consolidate your sales tech stack in 2025, here’s an evaluation framework to get started on. 2. Strategic Multithreading Will Become a Competitive Differentiator B2B buying has changed drastically over the last few years. Relying on decade old strategies to close deals do not appeal to the modern buyer. Especially when buying is no longer a linear process or a one person event. From an average of 6.8 decision makers in every B2B purchase, the number has now gone up to 14. And most of these contacts never make it to the CRM. As they can be from other departments within the company calling the shots in the background. This is where strategic multithreading comes into the picture. Knowing exactly how many people are involved in a deal and having complete visibility into their needs, aspirations and expectations are vital for sales people to know.  This kind of relationship intelligence enables reps to form relationships with multiple stakeholders on the buying committee of an account. And they have to do it in a strategic manner. Having access to the list of contacts that might be influencing a deal will be a saviour for sales

Welcome Efficiency Gains in 2025 with a Suite of Meeting Insights Built for Revenue Teams Product 10 min Imagine you’re preparing for a 42 km marathon. You’ve set a weekly running plan across terrains and weather conditions. You’ve brought the best equipment – wind-resistant clothing, a sleek water pouch, well-fitted goggles, perfectly cushioned shoes with the right grip, and a pace calculator. There were days when you completed 42 km, there were days you only did 5 km, and there were days you did 25 km, and so on. But, throughout your preparation, the pace calculator unfortunately missed capturing your pacing and the time taken to run the distance. Oops! Now, you have no idea what is the average time you take to complete 42 km or what is your average pace. So you’re going in blind and decide to pace yourself by winging it. Yes, this blog is not about preparing for a marathon. But this example is an analogy to sales. The runner is the revenue leader. The equipment refers to the sales team and tools. Each run refers to a meeting with a buyer. The pace calculator refers to a tool that is meant to provide key insights – what are you doing well, and what you should improve. So, with the analogy and this context, let me challenge you with some questions: How many meetings does it take your SMB and your enterprise teams to win a deal, respectively? How many meetings get completed out of all the scheduled meetings? How often are meetings happening in each of your accounts? How often are the different members of the buying group invited to these meetings? How often are these buying group members attending these meetings? What is the nature of the meeting? What is being discussed exactly? How much time is being spent or wasted in meetings by your sellers and deal support team like solution engineering, executives, etc.? Sure, conversation intelligence tools may help answer a couple of these questions. But, not all. Moreover, most conversation intelligence tools only capture data if they’re set to record that meeting. If it’s not set to record, then the data does not get captured. And before you jump to a conclusion, no, this is not a blog on conversation intelligence. Rather it’s about zooming into your buyer-seller data with a specific focus on meeting insights. Meeting Insights Missing from Your Engagement Data Over the last two quarters, Nektar introduced several useful features that surface insights into buyer-seller engagement. Some of them are specific to meeting data. These insights are 100% accurate because they stem from data picked up at the source of action – your calendar invites, be it Google or Outlook. What’s more? All the data is provided to you in your standard Salesforce objects – account, opportunity, contact, and lead. So you can leverage Salesforce’s powerful reporting capabilities to surface these meeting insights. Let’s dive into some insights that Nektar.ai unlocks through these recently launched features. 1. Meeting Status Every week revenue leaders conduct 1:1 deal reviews where the rep shares with them all the meetings that are scheduled, that took place, and that got canceled or rescheduled. Additionally, the rep also has to share who is invited to the meeting and who attended. The revenue leader then suggests adding a key stakeholder, and the dialogue continues. With Nektar, this ‘zero value information exchange’ can be eliminated. Instead, revenue leaders can access such data in their Salesforce. Nektar automatically marks the status of a meeting across the meeting lifecycle – scheduled, completed, aborted, canceled, missed – to give deep visibility into how meetings are impacting sales cycles, win rates, and revenue generation. The most important question this helps answer is: How many meetings do I need to complete to win an enterprise deal and an SMB deal, respectively? This can be further segmented at an industry or region level for further granularity. Layer Meeting Status with additional factors to unlock clear visibility into deal activities and understand what’s working and not working. 2. Meeting Type Let’s assume an enterprise deal had 55 meetings from creation to close. With Meeting Status you will easily know how many were completed. You may also choose to use native Salesforce reporting to slice this data across deal stages. The only insights you have are that 55 meetings were scheduled, 40 were completed, and each deal stage had a specific count of meetings. But, you’re still not sure what each meeting was about. Was it a demo meeting, a discovery meeting, a use case mapping meeting, a mutual success plan meeting, a proof of concept discussion meeting, or something else? And how many such meetings took place? This is where Activity Tagging becomes beneficial. Nektar automatically assigns tags to meetings based on the context of the meeting using certain keywords. This tag is then automatically added to a custom field on Salesforce within standard objects, making it completely reportable. Equipped with this data point, revenue leaders can easily spot what types of meetings are taking place and how many meetings of the same type are taking place. Most importantly, you can define these tags yourself. For you, you may define one of the tags as ‘use case mapping’, while another company may not. Or, you may have defined only 4 tags while another company may have defined 12 tags. It’s easily customizable to suit your revenue process. Going back to the example we started with, you’ll have the following insights – 55 meetings were scheduled, 40 were completed, 3 discovery meetings, 5 demo meetings, 3 use case mapping meetings, and so on. This insight helps you gather which types of meetings are critical to winning a deal. For example, if deals over $100,000 had more use case mapping meetings and deals less than $50,000 had more negotiation meetings, you can now optimize your plays to replicate this more often to improve your chances of winning deals. Activity tags are customizable. Based on your sales process,

Top 7 Data Cleansing Tools Blog Ensure your business decisions are based on accurate data. Discover what data cleansing is, its importance, and how it can transform your messy data into a valuable asset. Learn about top data cleansing software to keep your CRM clean and efficient. Dive into our comprehensive guide to make your data work for you, not against you. 10 min What is data cleansing?   Data. It’s the lifeblood of modern business, fuelling insights, driving decisions, and ultimately, shaping success in the larger picture. But raw data is often messy, riddled with inconsistencies, errors, and duplicates. This “dirty data” can lead to inaccurate analysis, flawed decision-making, and eventually wasted resources. The amount of data around us has increased and so is the need of validating its quality. As this data surge has made room for inevitable errors, companies are dabbling with the subsequent data quality checks. Did you know only 3% of data meets basic quality standards? As per Gartner, Poor data is responsible for an average of $15 million per year in losses. This is why the need for Data Cleansing is at all time high! Data cleansing, also known as data scrubbing, is the process of identifying and correcting or removing corrupt, inaccurate, or irrelevant data from your datasets. It’s essential for maintaining data integrity and ensuring your company can make accurate, informed decisions. Why Does Your Company need it? Just picture your best salesperson enthusiastically pursuing a lead only to get stuck. The phone number is wrong and the email has bounced back. Yes, it’s frustrating. This “dirty data” is battled against by reps every now and then. Inaccurate, missing or duplicated information that are in your CRM system can constitute unnecessary barriers for your reps. It’s like being lost and taking the wrong turns while traversing through a town; you may eventually arrive at your destination but after several hours of wasted efforts. Therefore, dirty data is a silent killer waiting to feast on potential opportunities in your CRM with a possible domino impact such as: Wasted Time & Resources: Data-detective mode takes over for your reps who spend hours following up cold leads, fixing mistakes or verifying details. This means that they lose significant selling time that could have been used to close deals. Missed Opportunities: Inaccurate data can be likened to a blind spot. You cannot reach existing customers via targeted advertising nor find new ones using it more effectively. What if you miss out on a big client simply because their mail account was returning an error message? Poor Decision Making: Dirty data also takes the crown when it comes to generating skewed reports and metrics. This can lead to distorted representation of things, poor business decisions and finally missed opportunities. Strained Customer Relationships: There is hardly any doubt that sending irrelevant emails or reaching out wrong individuals will yield a negative experience for customers. Your company name can be tarnished by bad data while at the same time clients can be left annoyed and made feel like digits. Doing proper data cleansing will make sense out of your chaotic data transforming it into one clean reliable source of truth. Top 7 Data Cleansing Softwares Luckily, you can tame the dirty data with several data cleansing software in the market today. A good data cleansing software can transform your messy CRM into a well-organized filing system, ready to empower your sales team. We have curated a list of top 7 data cleansing softwares for your company to choose their perfect fit. Nektar.ai Salesforce data could end up being a mess of information that can hinder the reliability of your reports. This is where Nektar.ai can help you navigate out of the clutter by putting your data hygiene on auto pilot using AI. Here’s how Nektar.ai solves the problems with data cleansing: Unmatched Sync Accuracy: Nektar.ai does not only import data at basic level, it also analyzes your records using AI algorithms for establishing links between accounts and opportunities and provides confidence scores for correct synchronization. This helps in cutting out redundant entries more importantly by enabling you to view all needed details.Time Travel for Data Retrieval: What if I told you that you can unearth the actuals of an old conversation that happened with a particular client? Nektar helps in identifying interactions like contacts, emails and meetings linked to a given domain which are then added into newly created opportunities. Its “time travel” functionality facilitates knowledge transfer among sales people and adds context to live conversations during ongoing engagement.Easy Report Creation: High-quality reporting is dependent on clean data. Nektar.ai makes it simpler to generate reports by automatically syncing contacts, emails, and meetings directly into standard Salesforce objects.Self-Healing Energy: Nektar.ai is ever learning and adjusting. It updates CRM records in response to new information by appending manual changes made by users into the system automatically.Smart Contact Automation: Nektar.ai can automatically create a contact point as well as eliminate some repetitive tasks. They are created with matching domains such that they connect with previous accounts as appropriate.Contrary to traditional data cleansing that may necessitate manual work or third party tools, Nektar.ai is an AI-powered solution that integrates well with Salesforce and does many tasks automatically. It is self-learning and ensures data always remains clean and accurate. With Nektar.ai, you can liberate your sales team from the grind of data entry and enable them to concentrate on their core function; closing deals.   Openrefine Google Refine, which is now known as OpenRefine, is already a well-known open source tool. It’s an open-source software like python script that can be freely used and modified by anyone. It also helps to maintain your data in a consistent format and sorts it according to your company requirements. Apart from this, you can import data from the web sources and apply its clustering algorithms for solving complex data cleaning jobs. Where all does OpenRefine stands out? Free and Open Source: Cheap to install and allows

Top 5 Trends That Will Impact Sales Operations in 2025 RevOps 10 min Imagine having a machine. A machine with all the parts in working condition, it’s even run daily but produces suboptimal outputs.  The issue is – ‘Oiling.’ Without proper and regular oiling, the various parts of the machine can’t function properly. To make the machine work cohesively, oiling is required.  Sales optimization tools can help with the oiling. It is done so that the sales function produces optimal results.  What is sales process optimization? Sales process optimization refers to refining and improving the steps in selling a product or service to a customer. The process typically includes steps such as lead generation, lead qualification, needs assessment, proposal creation, negotiation, and closing the sale. Sales process optimization aims to increase efficiency and effectiveness, resulting in more successful sales and increased revenue. How do Sales Optimization Tools Work? Sales process optimization is essential in B2B sales, where the sales cycle is often longer and more complex than in B2C sales. In B2B sales, the process typically involves multiple decision-makers and influencers, and the sales rep needs to demonstrate how the product or service will address the business’s specific needs. Here are some key ways in which sales process optimization works in B2B sales: 1. Identifying and targeting the right prospects Sales process optimization in B2B sales involves identifying and targeting the most promising prospects with customized messaging and outreach. This involves using data analytics to identify businesses that are a good fit for the product or service and creating targeted marketing campaigns to reach them. 2. Understanding the buying process B2B sales often involve multiple decision-makers and influencers, and it’s important to understand the buying process for each prospect. Sales reps need to identify the key decision-makers, understand their needs and priorities, and tailor their messaging accordingly. 3. Creating a value proposition In B2B sales, it’s important to demonstrate how the product or service will provide value to the business. Sales reps need to articulate a compelling value proposition that addresses the prospect’s specific needs and pain points. 4. Managing the sales process B2B sales often involve a longer sales cycle than B2C sales, and it’s essential to manage the process effectively. This may include using CRM software to track leads and opportunities, setting up regular touchpoints with the prospect, and managing the negotiation and closing process. 5. Analyzing and optimizing the sales process Finally, sales process optimization in B2B sales involves analyzing sales data and feedback to identify areas for improvement. Sales reps need to be able to adjust their approach based on what works and what doesn’t and continually refine their sales process to improve outcomes. A Closer Look At a Sales Optimization Process Now that we have understood the role of sales optimization in B2B segment, let’s understand the process in a step-by-step format:   1. Define your goals The first step in sales optimization is to define your goals. This may involve setting specific targets for revenue, number of sales, or other metrics that are important to your business. 2. Analyze your current sales process The next step is to analyze your current sales process to identify areas for improvement. This may involve reviewing your sales data, talking to your sales team, and gathering feedback from customers. 3. Develop a plan Based on your analysis, develop a plan for optimizing your sales process. This may involve making changes to your sales strategy, implementing new tools or technologies, or providing additional training to your sales team. 4. Implement your plan Once you have a plan in place, it’s time to implement it. This may involve rolling out new processes or tools, providing training to your sales team, or adjusting your sales strategy. 5. Monitor your results As you implement your plan, it’s important to monitor your results. Track your progress against your goals, analyze your sales data, and gather feedback from your team and customers to identify areas where you can continue to improve. 6. Continuously improve Sales optimization is an ongoing process, so it’s important to continue refining and improving your sales process over time. This may involve making small adjustments based on feedback and data analysis or making larger changes if your goals or market conditions shift. Let’s have a look at some sales optimization examples to understand the use cases of the above processes in real-life.  Use Cases of Sales Optimization Tools Sales optimization has a wide range of use cases in B2B sales, including automating lead generation, personalizing the sales experience, improving group intelligence, and implementing a sales enablement strategy. By leveraging sales optimization tools and techniques, businesses can improve their sales outcomes, increase efficiency, and drive revenue growth. Here are some examples of sales optimization that businesses implement to improve their sales outcomes: 1. Automate lead generation Businesses can use automated lead generation tools to identify potential customers based on specific criteria instead of relying solely on manual prospecting. This can help streamline the sales process and reduce the time and effort required to find new leads. 2. Personalize the sales experience Personalization can help sales teams better understand the specific needs and preferences of the stakeholders in a buying committee. This allows them to tailor their messaging and approach to each stakeholder, increasing the likelihood of resonating with each individual and ultimately closing the deal. By having insights into all the stakeholders, sales teams can also multithread better, meaning they can engage with multiple stakeholders simultaneously and build a rapport with each of them.  3. Open more doors with more active contacts Encourage multithreaded conversations by equipping your reps with additional contacts. Provide your representatives with more contacts automatically discovered from all sales tools.  4. Improved group intelligence Instantly grant your reps the knowledge of a buying committee map, so they know whom to engage, how, and when to best influence deal progress. 5. Real-time activity intelligence Automatically capture both structured and unstructured data and update it in real-time against active opportunities

Revenue leader’s guide to successful board meetings! GTM RevOps 10 min It’s quite common for sales leaders to get invited to board meetings. So, what do you do when called in to present your sales strategy and report card to the board? At Nektar.ai, we spoke to 72 professionals who have been Board members, VP Sales, Founders and CEOs and asked them this very same question. This playbook is a result of those responses and best practices. Just like for any deal in your CRM system, where you define your sales process, you need to break your board interaction as well into logical stages. Pre-meeting: What’s the construct of the board? Research about the board members and the role they play. What’s the preparation required for the board meeting? In-meeting: What’s the approach one can take to handle the board meeting successfully and build one’s credibility? Post-meeting: How should revenue leaders engage with boards and their CEO post-board meetings? Pre-Meeting Checklist Understand the dynamics of the board. A VP of sales must analyze his/her board similar to how they would draw an account plan and relationship map for a strategic prospect. Eg. Which board members are very involved in the strategy side and carry a big influence on the board? Which members are functional experts and tend to get operationally involved? What are the backgrounds of the various members? What role do they play? Know what matters. Spend time in advance or at the beginning of the meeting asking the question “What are the top 3 things you want to know about our sales strategy?” Going prepared with an answer to this question will help you to save a lot of time and trepidation. Begin with the end in mind. Before you begin, understand what they want. It can be tempting to spend a lot of time to prepare for every possible scenario of what they could ask for. You should know that there are probably only a couple of key things they want to know. In-Meeting Checklist Keep it contextual & crisp. They will never have the context, but you do. When you share your strategy, you need to meet them at their level. Most investors usually fly around 30k feet & do not have the time or interest in coming down. They need to be able to grasp your strategy easily & not get over-involved in a barrage of details. Remember, Less is More! Use frameworks. Your strategy needs to be at a framework level. The key question to answer is, can this strategy be applied to ‘N’ number of different companies or scenarios? A framework always helps! Articulate clearly and simply. Board members generally try to ascertain if the sales leader delivered the quarter because of some lucky save or it was a quarter-end “home run” deal, or because of a predictable sales playbook that’s well integrated into the revenue management system that is put in place leading to repeatable results. Build credibility. Building credibility with the board is important, once it’s lost, it’s hard to recover. Sales leaders should be forthcoming on the key problems in the business. You should be willing to tell and not just sell! Be critical: Even if it’s a great quarter, a VP Sales must take a critical view on what could be the areas of improvement. Board members want sales leaders to demonstrate that they are continuously iterating and finding ways to improve results, even when they are hitting the quota. Be a business leader & not just a functional leader. Boards of directors value sales leaders who can take ownership over the business instead of just demonstrating mastery of the sales function. Keep the presentations simple and consistent. Use a small set of leading and lagging data indicators to demonstrate the progress being made against the intended benchmarks and consistently highlight them during quarterly board presentations. Be prepared to wear a suited armor of data, trends, insights and examples to handle the spear-shaped questions thrown at you like – How do we win in the market? Why do we lose deals? What are the win/loss reasons in each deal? What is our action plan to fix the reasons we lose? What are the biggest objections we get from potential customers? How often do we hear them? Is our sales team enabled with the battle card responses to these objections? How do we train our reps to respond? Where conversations are going off the track during the sales process? What discovery questions should we eliminate or add to qualify the prospect better? Do we identify and engage the right influencers and decision-makers in the opportunity? Have we identified the Ideal Customer Profile and do we sell to the right persona? Why are you waiting till the end of the quarter to make the changes to the sales process? Why not do them earlier? For you to be prepared with these responses, you must have a well-defined sales process and playbook. If implemented and tracked well, the sales playbook and the deviations to the same will give you enough insight into: Why sales reps go off script during the calls? How do prospects respond to the discovery questions? When prospects ghost you during the sales cycle? Which reps are single-threading on key deals? or Which deals are at risk even though the internal effort on them is already higher than the deal value itself? Now imagine, if you can operationalize and track your sales process and usage of the winning playbooks, the answers to the probing questions with data-backed responses can be like: Based on the 15 deal reviews, we found a trend in discovery calls going off-script when sales professionals get to budget-related conversations. To fix this, we have modified our calling script to help the sales team be more confident when talking about our pricing and value delivered. We have identified the top 3 objections during the sales process, and they are usually asked after the proposal is sent. We have started to address those objections during our first call itself, and we have also

What is Salesforce Tech Debt? And How Can You Reduce it? RevOps 10 min In a recent statement, Salesforce disclosed its intention to raise list prices across several product offerings, including Sales Cloud, Service Cloud, Marketing Cloud, Industries, and Tableau, with an average increase of 9%. Starting in August 2023, the revised list prices for certain Salesforce products will be implemented, targeting new customers and existing customers acquiring additional cloud services. Salesforce has outlined the following adjustments in pricing for their fundamental Sales and Service Cloud offerings: Professional Edition will increase from $75 to $80 Enterprise Edition will increase from $150 to $165 Unlimited Edition will increase from $300 to $330  These changes are going to affect a lot of organizations. Over 150,000 companies across industries use Salesforce. With specialized solutions for operations across sales, service, marketing, and commerce, it is no wonder that the hike in price would affect almost every industry. For companies using Salesforce, the major concern is: Salesforce Tech Debt.  What is Salesforce Technical Debt? Technical debt refers to the expense of having to do extra work later on due to opting for a quick solution in the present rather than investing the time in a more optimal approach. This concept is also commonly referred to as “Shift Left,” which emphasizes the idea that the sooner you identify and address issues, the more cost-effective it is to resolve them. Technical debt represents the additional effort required to rectify a hasty, less-informed solution chosen in the present (constructed quickly without a deep understanding of business requirements), as opposed to adopting a more time-consuming but superior approach. In a broader sense, technical debt encompasses any customizations, whether through code or declarative means, that were implemented when standard functionality wasn’t suitable or accessible. Technical debt can also contain situations where solutions were initially designed for a specific purpose, but as business needs evolved over time, small adjustments were tacked on. A more constructive perspective on technical debt is to recognize that virtually everything can be considered a form of technical debt, but it’s termed “debt” because it necessitates future efforts to address and resolve. In the past, technical debt was primarily associated with developers taking shortcuts in their code. However, in the era of low-code platforms such as Salesforce, technical debt can arise not only from coding decisions but also from the configuration choices made through user-friendly “clicks” within the platform. What Causes Tech Debt? Salesforce technical debt arises from rushed or suboptimal development practices, including quick fixes, inadequate adherence to best practices, complex customizations without proper planning, and neglect to update and adapt solutions over time. This debt accumulates when shortcuts are taken, making future maintenance and scalability more challenging and costly. Here are a few factors that can cause technical debt: 1. Modified or outdated design This occurs when the business requirements change, rendering certain functionalities unnecessary. However, it’s often deemed safer to retain these functionalities. 2. New releases This arises when the introduction of new platform features surpasses the capabilities of previous releases or custom development efforts. For instance, Salesforce Flows are taking precedence over process builders and workflow rules. 3. Intentional technical debt When a deliberate decision is made to expedite development, fully aware that it will entail higher long-term costs, but it’s considered the appropriate course of action. 4. Unintentional technical debt Accumulates when shortcuts are taken for various reasons, typically due to time constraints or concurrent workstreams. 5. Tacked-on technical debt Occurs when a particular functionality is continually extended incrementally and “bolted on” to maintain its functionality rather than undergoing a proper reconstruction. Up to this point, we’ve delved into the theoretical aspects of technical debt, discussing its causes and mechanisms. However, what does it actually manifest as in real-world scenarios? Let’s have a look: Common Forms of Salesforce Tech Debt Common forms of Salesforce technical debt include the accumulation of unused customizations, outdated roles and permission sets, complex and undocumented workflows, inadequate data modeling, and the absence of thorough testing. This technical debt arises when shortcuts are taken or best practices are overlooked during Salesforce development, making the system harder to maintain and optimize over time. Several prevalent forms of technical debt can be identified In Salesforce, including: 1. Visualforce component vs sales path Before the introduction of Sales Path, organizations required a visual means to depict the progress of an opportunity stage or process. To achieve this, they had to customize a Visualforce component. However, with the release of Sales Path by Salesforce, these visualizations became standardized, which subsequently led to an increase in the technical debt interest rate. 2. Adapting process automation The creators of 10K recognized the necessity of automating their invoice generation process. They initially developed an hourly function to create invoices, incorporating some basic rules. However, as their contract structures evolved, they found themselves adding more functions to their initially straightforward task. Managing these changes became increasingly challenging, prompting them to allocate time to rewrite the process based on the current state of their business operations. 3. Excessive customization As previously mentioned, Salesforce provides a user-friendly environment for creating custom Objects and code, even when a simpler declarative solution would suffice. For instance, opting for a workflow instead of resorting to triggers for scripting tasks. This form of technical debt often arises from an overly responsive approach, where every requested change is implemented without exploring alternative options within standard configurations. 4. Unused customizations Despite being promoted as a ‘no-code’ platform, Salesforce cannot handle every task declaratively. Changes in business requirements may render customizations that were once essential unnecessary. Unless these customizations are retired, they can introduce inherent complexity to every new change and potentially hinder end user adoption by making your Org more challenging to navigate. 5. Access controls You’ve likely encountered the concept of “the principle of least privilege.” On the flip side, we have the “principle of most privilege,” where users end up with excessive access as their roles within the organization evolve. While other forms of technical debt can impede progress, retaining unused profiles and permission

How Nektar Automates Buying Committee Engagement RevOps 10 min In today’s complex B2B sales environment, understanding and engaging with buying groups is crucial for driving revenue. Modern B2B buying decisions are made by groups, not individuals so traditional methods, like tracking Marketing Qualified Leads (MQLs), are no longer sufficient. This shift necessitates a new approach to tracking engagement, one that leverages advanced technology to automate and streamline the process. Nektar offers a powerful solution for sales teams looking to stay ahead. By automating the tracking of Buying Group Engagement, Nektar’s features ensure that every interaction is captured and analyzed, providing deep insights into the buying process. Features such as Automated Opportunity Contact Role Creation, Conditional OCR, Intelligent Meeting Tagging, and Contact Participation (Meeting Intelligence) work together to create a comprehensive and automated engagement tracking system. In this blog, we will explore how Nektar’s advanced capabilities can transform your sales process, making it more efficient and effective by automating the tracking of Buying Group Engagement. We’ll delve into each feature, highlighting its benefits and real-world applications, to show you how Nektar can help your team achieve greater success in today’s competitive market. Understanding Buying Group Engagement Buying Group Engagement refers to the interactions and activities involving multiple stakeholders within an organization who collectively make purchasing decisions. Unlike the traditional focus on individual leads, Buying Group Engagement acknowledges the collaborative nature of B2B purchases, where various roles such as decision-makers, influencers, and end-users all contribute to the final decision. In modern B2B sales, it’s essential to track and manage these engagements effectively. Understanding who is involved in the buying process, their roles, and their level of participation helps sales teams tailor their strategies and communication. This approach not only enhances the relevance of sales efforts but also increases the likelihood of closing deals by addressing the needs and concerns of all key stakeholders. By automating the tracking of these engagements, sales teams can gain comprehensive insights into the buying dynamics, enabling them to engage more effectively and drive better outcomes. How Nektar Automates Buying Group Engagement Choosing From 5 Types of Sales Territory Mapping Nektar’s innovative approach to automating Buying Group Engagement leverages several key features that streamline and enhance the process of managing interactions with multiple stakeholders. Here’s a detailed look at how each feature contributes to a more efficient and effective sales strategy: 1. Automated Opportunity Contact Role Creation Nektar’s Automated Opportunity Contact Role Creation feature automatically identifies and assigns contact roles to opportunities within your CRM. This automation ensures that all relevant stakeholders are accurately documented and associated with each opportunity, reducing the manual effort typically required. Benefits: Time-Saving: Eliminates the need for sales reps to manually input and update contact roles, freeing up their time to focus on selling activities.Accuracy: Ensures that all contact roles are correctly and consistently assigned, reducing errors and improving data integrity.Visibility: Provides a clear view of all individuals involved in the buying process, helping sales teams better understand and manage their interactions. 2. Conditional OCR (Opportunity Contact Role) Conditional OCR allows for the creation of contact roles based on specific, predefined conditions. This feature enables sales teams to customize how and when contact roles are created, based on criteria that are most relevant to their sales processes. Benefits: Customization: Tailors the contact role creation process to fit the unique needs of different sales teams or business units.Efficiency: Automatically applies the right conditions for contact role creation, ensuring that only the most relevant contacts are included.Scalability: Supports the management of complex sales environments with numerous stakeholders and varying engagement scenarios. 3. Intelligent Meeting Tagging Nektar’s Intelligent Meeting Tagging feature automatically tags meetings with relevant information, making it easier to track and analyze interactions with buying group members. This feature leverages AI to identify key details from meetings and associates them with the appropriate contacts and opportunities. Benefits: Enhanced Insights: Provides detailed insights into the content and outcomes of meetings, helping sales teams understand engagement levels and follow up effectively.Consistency: Ensures that all relevant meeting information is captured and tagged correctly, enhancing the quality of data in the CRM.Productivity: Reduces the manual effort required to document meetings, allowing sales reps to focus more on strategic activities. 4. Contact Participation (Meeting Intelligence) The Contact Participation feature tracks and analyzes the participation of contacts in meetings. By monitoring who attends and actively participates in meetings, sales teams can gain valuable insights into the engagement levels of different stakeholders within the buying group. Benefits: Engagement Tracking: Identifies key influencers and decision-makers based on their participation and engagement in meetings. Actionable Insights: Helps sales teams tailor their follow-up strategies based on the involvement and interest levels of different contacts. Data-Driven Decisions: Provides a data-driven approach to understanding and managing buying group dynamics, leading to more informed sales strategies. How GuideCX got Visibility into $1.7Mn Inactive Pipe Every company wants to squeeze out every drop of revenue from its active pipeline. Missing out on achievable quotas and letting potential revenue slip away due to inactivity and poor engagement have become the biggest sins in Sales. But what if there was a way to bring these dormant deals back into the spotlight for the sales teams? This is the scenario we explore—a practical challenge met with a pragmatic question, setting the stage for the journey ahead. This is the story of GuideCX and how they transformed deal prioritization using process automation, powered by customized rules that considered the engagement data that Nektar captured in their CRM. This helped GuideCX gain instant visibility into $1.7M worth of inactive deals, which otherwise would have been lost forever.   Ready to revolutionize your sales process with automated Buying Group Engagement? Discover how Nektar’s advanced features can help your team capture every interaction, gain deep insights, and drive better outcomes. In this blog

Configure Contact Roles on Salesforce to Unlock Immediate Efficiency Gains Discover how defining OCRs can enhance visibility into your buying committee, improve sales execution, and boost win rates. RevOps 10 min Let’s begin by simply defining what is an opportunity contact role (OCR). An OCR is a standard object on Salesforce within the Opportunity object that links Contacts to Opportunities, specifying the Contact’s role in that Opportunity. Having great OCR hygiene means sales leadership teams gain better visibility into the buying committee for each opportunity. Better visibility helps monitor if reps have at least identified the necessary people needed to win the deal. If the necessary people are involved, then sales leaders can guide their teams on the right engagement playbook to navigate the deal toward success. While sales teams know the importance of identifying and engaging the entire buying committee, not many follow this through to execution. This becomes worse when we consider the OCR data available in a CRM. Open any CRM today, and you will notice that a majority would have an average of 3 contact roles. Of those 3, one is usually a required field made mandatory by the revenue/sales operations or CRM admin. In companies that practice MEDDIC (and its variations), the ‘Economic Buyer’ and ‘Champion’ are identified and added to the CRM, but the remaining buyer roles are either identified but not added to the CRM or not identified at all. So why should OCRs matter? The answer to this question lies in whether or not you’re working on improving sales execution, rep efficiency, win rates, and forecasting. You’d be surprised if we told you how often we hear prospects say “We have no idea who our sellers are talking to” or “We don’t know how often we’re engaging buyers in open deals”. ‘Who’ you are talking to and ‘how often’ are you talking to buyers are the fundamental units of generating revenue. The ‘process’ of generating revenue can only be improved by tracking and measuring such fundamental units. You may be doing a great job with creating contact lists from third-party data tools like Zoominfo or Lusha or by auto-creating contacts in accounts with tools like Clari or Gong, but if such contacts are not being linked to opportunities, you are losing out on critical data. Technically, in CRM terms, opportunities are won, not accounts. And so having contact data is not good enough. You must aim to have granular and comprehensive contact role data. Introducing Configurable OCRs Using AI, automation, and graph inference, Nektar automatically creates contacts in the relevant accounts present in Salesforce. Until recently, Nektar would automatically associate these contacts as OCRs within the relevant open opportunities. There was no configuration needed. However, through customer feedback and research, Nektar is excited to announce ‘Configurable OCR’. An OCR record is only useful if it is: associated because it is actually involved in the deal a buying role was identified and assigned to it With configurable OCR, you can define rules using buyer-seller engagement data that Nektar has already added to the (open) opportunity and account. For example, a rule can be: “If engagement with contacts in an account is more than 5 times in the last 10 days, and if there is an open opportunity in those accounts, then associate such contacts as opportunity contact roles.” This example considers the recency and frequency of buyer engagement. So, only those contacts that are frequently engaged by the seller will get added to opportunities as OCRs. As a result, sales leaders gain instant visibility into who is actually involved in deals. This is just a simple, straightforward example of a rule. You can define your own rules. Additionally, you can customize the rule for the different segments you may have. For example, have a rule specifically for strategic accounts, expansion accounts, new business accounts, vertical-specific accounts, or any other segmentation you may have. Next, you can configure the second component – the buying role. If you’ve used Nektar, you would know that it extracts job titles from email signatures. A default capability we’ve always offered is to map out job titles to the respective buying roles. With this one-time configuration, as and when Nektar links OCRs, it also assigns a buying role to the OCR based on the corresponding job title. Now, using genAI automation you can define rules to assign an appropriate buying role. You can consider a combination of job titles and engagement trends, job titles and seniority, job titles and engagement and segment – whichever factors address your requirements. After all, the process of generating revenue is unique to a company. The best part is that all this is done using the standard Salesforce records, so they are easily reportable on Salesforce. This can also be achieved for your historical opportunities by backfilling them. Benefits of configurable OCRs Nektar customers use this OCR data for deal inspections, win-loss analyses, playbook optimization, and enhancing their multithreading strategy. Every opportunity has only those contact roles that are involved in the deal while the remaining stakeholders such as legal remain in the account as contacts. So sales leaders are able to monitor which job titles and buying roles are being engaged. Since historical data is also plugged in, you can study buying committee engagement for won and lost deals to analyze what worked and did not work. Some of our customers identified new personas in their closed deals, and have now started prospecting this persona actively to generate new pipeline. By studying won deals, you can also track the engagement pattern and work towards improving your multithreading strategy. Lastly, playbooks can be transformed. For example, one of our customers now has made it mandatory to have a specific number of contact roles if the deal is in stage 3 of the sales process. Similarly, answers to who, how often, and when should different people of the buying committee be engaged can be detailed out. Outside of the sales team, a clean and

What is Predictive Sales Analytics? Sales When it comes to weather forecasting, experts use historical weather patterns, current atmospheric conditions, and advanced technology to predict future weather. They anticipate whether it will rain, snow, or be sunny. The better their data points are, the better their predictions.  Similarly, Predictive Sales Analytics ​​examines past sales data, market trends, customer behaviors, and other factors to forecast future sales outcomes. This allows organizations to make informed decisions, allocate resources effectively, and tailor their sales strategies, much like how people adjust their plans based on the weather forecast to ensure a smooth day ahead. Let’s have a detailed walkthrough. What is Predictive Sales Analytics? Predictive sales analytics uses data, statistical algorithms, and machine learning techniques to forecast future sales outcomes and trends. The approach employs statistical modeling, data mining methods, and machine learning to detect patterns within diverse datasets. Predictive sales analytics studies historical sales data, customer behaviors, market trends, and other relevant factors, applying sophisticated mathematical models to forecast upcoming sales outcomes.  Predictive sales analytics has several features, including: 1. Data collection and preparation The process begins by collecting relevant data from multiple sources. This can include historical sales data, customer interactions, website activity, marketing campaigns, and external market trends. The data is then cleaned and organized to ensure accuracy and consistency. The quality of the data directly impacts the accuracy of predictions. 2. Feature selection In this step, the most important variables, also known as features, are identified. These features can include factors such as time of year, customer demographics, purchase history, marketing channel, and economic indicators. 3. Model building Predictive models are built using statistical algorithms and machine learning techniques. These models use historical data to establish relationships between the chosen features and the target variable, which is typically future sales. 4. Training and testing The built model is then trained using a portion of the historical data. This training process involves adjusting the model’s parameters to minimize errors and improve accuracy. The model’s performance is evaluated using testing data that the model has not seen before. This step helps ensure that the model can generalize its predictions to new data. 5. Prediction and analysis Once the model is trained and validated, it is ready to predict future sales. It takes new data inputs, such as current market conditions and customer behaviors, and generates forecasts based on established patterns. 6. Actionable insights The predictions generated by the model provide actionable insights for businesses. These insights can include forecasts of future sales volumes, identification of high-potential leads, recommendations for optimizing marketing campaigns, and insights into product demand. 7. Iterative refinement Predictive sales analytics is an ongoing process. As new data becomes available, the model can be retrained and refined to improve its accuracy and relevance. This ensures that the predictions remain aligned with changing market dynamics. 8. Decision-making and strategy formulation Businesses use the insights from predictive sales analytics to inform their decision-making and shape their sales and marketing strategies. For example, they can allocate resources based on anticipated sales trends, tailor marketing efforts to specific customer segments, and optimize inventory management. Now that we have understood the process of predictive sales analytics, let’s have a look at the companies that are using this tool.  Which Companies Use Predictive Sales Analytics? Predictive sales analytics is embraced by a diverse range of companies spanning various industries. These companies want to transform raw data into actionable insights, enabling them to anticipate customer behavior, allocate resources more efficiently, and make well-informed decisions. Let’s see how different companies across industries are using predictive sales analytics:  1. Retail Industry Retail companies use predictive sales analytics to forecast demand for products, optimize pricing strategies, and manage inventory levels. This helps them avoid stockouts and overstocking, ensuring they meet customer demands effectively. 2. Financial Services Banks and financial institutions employ predictive sales analytics to assess credit risk, detect fraudulent activities, and make informed lending decisions. This results in reduced financial losses and improves the quality of loan portfolios. 3. Healthcare Sector Healthcare organizations leverage predictive sales analytics to predict patient trends and allocate resources efficiently. It aids in optimizing hospital operations, patient admissions, and resource utilization, ultimately leading to better patient care. 4. Technology Companies Technology firms utilize predictive sales analytics to analyze customer behavior and preferences, enabling them to tailor their products and services. This helps increase customer satisfaction and loyalty. 5. Manufacturing Sector Manufacturing companies apply predictive sales analytics to optimize supply chain processes, anticipate equipment maintenance needs, and enhance production efficiency. This minimizes downtime and maximizes productivity. 6. Automotive Industry Automotive companies use predictive sales analytics to anticipate market demand for specific vehicle models, allowing them to adjust production and marketing strategies accordingly. 7. Telecommunications Telecommunication companies employ predictive sales analytics to analyze customer usage patterns and predict churn rates. It helps them design targeted retention strategies and personalized offerings. 8. Hospitality and Travel Hospitality businesses utilize predictive sales analytics to forecast occupancy rates, optimize room pricing, and enhance guest experiences by tailoring offerings based on customer preferences. 9. Energy Sector Energy companies leverage predictive sales analytics to predict energy consumption patterns, optimize energy distribution, and plan maintenance activities for power infrastructure. 10. Consumer Goods Consumer goods companies apply predictive sales analytics to identify consumer trends, anticipate shifts in demand for different products, and optimize marketing strategies. 11. Real Estate Real estate firms use predictive sales analytics to analyze property market trends, anticipate property values, and optimize pricing strategies for rental and sales properties. 12. Pharmaceutical Industry Pharmaceutical companies utilize predictive sales analytics to forecast demand for medications, optimize inventory levels, and align production with market needs. With so many companies using predictive sales analytics, it is important to understand what it actually does? How does it affect processes, and why is it so important?  Why Is Predictive Sales Analytics Important? Predictive analytics software can handle complex and demanding data processes behind the scenes, allowing sales professionals to concentrate on their core strengths. In simpler terms, predictive sales analytics assists sales professionals in transforming a potentially overwhelming volume of data into straightforward, comprehensible insights that serve the

Tech Stack Consolidation for Revenue Teams: Streamlining Efficiency and Productivity in 2025 Sales Sales Tech Stack The entire customer journey, from lead to opportunity to revenue to retention is riddled with complexities.  Buyers are well-informed about a product and its competitors way before they even book a demo.  Sales cycles are longer with multiple stakeholders influencing the buying decisions at each stage of the customer journey.  Customer churn is at an all time high. To successfully close deals and generate revenue, GTM teams today need to be hyper fluent with customer pain points. And be able to offer tailored solutions to them at their time of need.  This is why revenue teams need technologies at their disposal. Which can help them act on insights that can enhance the customer experience. And lock in more revenue every quarter. While investing in these tools is table stakes to achieve revenue targets, the concept of “the more the merrier ” does not work here.  While it might be tempting to solve a problem with the shiniest new software out there, organizations are realizing that this can actually drain the productivity of their teams and lead to a myriad of inefficiencies. Ep #11: Components of a Modern Sales Tech Stack Bloated tech stacks can create many problems in disguise and add to a lot of hidden costs such as cost of integrating, tool fatigue, cost of siloed data and much more. Which is why 2024 is the year of tech stack consolidation. 62% of businesses are trying to cut down the number of tools they use and trim the excess fat from their tech stacks. In this blog, we will explore what revenue tech stack consolidation means. And how you can go about approaching it. Before we get into what tech stack consolidation means, let’s take a quick look at what led us here.  More Tools Don’t Mean More Revenue A whopping number of tools are being added to the modern revenue technology stack. SaaS organizations use an average of 130 applications! But only 53% of users say their technology aids productivity and positively impacts results.  According to another survey, 57% of marketing leaders, who had over 20 tools in their tech stack, strongly doubted if they’d reach their ROI goals.  It’s clear that the promise of efficiency gains and higher productivity that these tools claim for GTM teams are often not met. Instead, it leads to enormous amounts of tech debt for businesses.  And an ever increasing stack of tools only adds to the complexity of daily operations, causing revenue to leak across various points along the customer journey.  Here are some of the ways too many tools lead to loss of revenue opportunities: A web of fragmented tools adds to complexity in day to day operations. Tools are siloed in multiple systems which makes it difficult to track data, draw insights from it or keep it consistent and secure. No unified view of data leading to misalignment among GTM teams Overwhelmed employees who spend nearly 70% of their time on painstaking administrative tasks such as updating spreadsheets, adding prospects to CRM and augmenting data. These damaging effects of too many tools have increased the need for a leaner tech stack. Revenue leaders are taking a critical look at their existing tech stacks. And figuring out how to trim the fat without losing out on any core functionality. This is what we call tech stack consolidation. What is Tech Stack Consolidation? Tech stack consolidation is the process of reducing the number of tools in a company’s tech stack by merging functionalities into lesser and more exhaustive platforms. The goal of consolidation is not to knock down all of the investments in point solutions that already exist. It demands a structured approach in analyzing which tools offer real value for GTM teams. And eliminate tools that don’t add any merit to their day to day workflows. More tools in the tech stack add the burden of deployment, management and adoption. The goal for revenue leaders is to evaluate what they have, consolidate wherever they can and optimize their tech stacks to improve productivity and execution across every role. Consolidated technology seems to be the recipe for winning teams as per this survey by Sales Hacker. Teams that use tech stack that enable the full sales motion, from creating pipeline to closing deals are more likely to meet their revenue goals. A lean and fully capable sales tech stack is a reality as companies look to consolidate vendors while retaining the features and capability of their previous array of point solutions.  With the need for efficiency and productivity rising, let’s discuss an evaluation framework that can help you consolidate your tech stack. Evaluation Framework for Tech Stack Consolidation Too many tools add a lot of costs to a business. These costs go beyond the price on the invoice.  Poorly implemented and managed tech can lead to a lot of soft costs which arise from frustration in using the tools, poor adoption, implementation and maintenance and other issues that eat up the precious time of revenue teams.   Making changes to a tech stack is a delicate affair and needs to be handled with caution. It’s important to have all the necessary information at the very beginning to make informed decisions.  Here is a step by step evaluation framework to consider for a tech stack consolidation.  Step 1 – Identify your biggest challenges along the customer journey As a first step, inspect where your problems lie. Ask yourself: How can you boost productivity and efficiency at every stage of the customer journey with your existing tech stack? Are your marketing, sales and customer success teams meeting their targets? Do they have the right tools at their disposal? If not, what can make them more productive? Do you have clear visibility into the deals in your pipeline? If not, why? Identify where frictions exist in your customer journey. Is it at the very beginning of the funnel when a lead enters your CRM?  Is it when an opportunity needs to be handed over to customer

9 Best Account Based Marketing Tools for 2025 Marketing RevOps The rapid growth of Account Based Marketing (ABM) tools proves a couple of things. One, you can’t please everyone – not in today’s competitive B2B market.   And two, you better focus on the markets that really matter. But running multi-channel ABM campaigns at scale is no joke.  That said, the latest ABM tools make the job a lot easier.  They turn you into a master strategist with real-time insights at your fingertips. Let’s look at the top ABM tools that you can consider in 2025. What is ABM? Account Based Marketing or ABM flips the traditional marketing funnel on its head. In it, marketing and sales work together from the get-go to: Identify high-value accounts that fit ICP criteria, Engage them with personalized content   Find key decision makers Lead them to closure Stay engaged to tap future opportunities ABM is not about one-and-done selling.  Rather it drives customer lifetime value. And there have been some incredible success stories here. 9 ABM Tools for 2025 1. 6 Sense Revenue AI 6Sense allows marketing teams to identify high-value accounts, predict their buyer journey based on account activity and engage them with the right messaging across touch points. Features: Updates contact lists automatically with additional information Segments users into cohorts based on specific behavior patterns Can track user activity across channels and attribute to the respective account. Pricing:  Varies based on the number of users, use case, etc. 2. Demandbase Demandbase comes with a comprehensive suite of features built around the Account-Based Experience concept.  It has three modules – ABX Cloud (ABM), Advertising Cloud (campaign management), and Data Cloud (integration support) Features: Provides account-level insights for campaign execution and orchestration Supports multiple ad formats allowing global reach Easy integration Pricing:  Varies based on the use case, number of users, etc. 3. Terminus Terminus offers full-funnel ABM capabilities including account management, execution, and reporting. It is designed for multi-channel campaigns and offers easy scalability. Has its own built-in database. Features: In-depth segmentation options including buyer intent Supports campaigns across multiple channels Pricing:  Varies based on the number of users and features needed 4. RollWorks RollWorks is a good fit for marketers who rely primarily on paid ads for lead generation. Features: Provides useful targeting recommendations based on historical campaign data Maps account to key decision-makers and present their contact information Provides contextual client information such as organizational changes, mergers, acquisitions, etc Pricing:  The Starter plan is $975/mo. For information on their other plans, contact customer support.  5. Triblio If personalization is a priority for you, Triblio could be the perfect solution.  Its USP is predictive orchestration which automates segmentation and targeting for higher personalization. Features: Visual campaign builder with drag-and-drop functionality Calculates conversion probability based on user intent and account activity Pricing:  Varies based on the number of features, use case, etc. 6. Vainu This is a sales intelligence tool that lets you find high-value accounts from its extensive global database. Vainu speeds up list building and provides contextual information on target accounts. Features Creates targeted contact lists based on ICPs and filters chosen Updates new contacts automatically Provides a single view of contacts stored across tools Pricing:  Free trial Team plan: EUR 4200/yr Business plan: EUR 9900/yr Global plan: EUR 12000/yr Custom Enterprise plan 7. Apollo.io Apollo offers prospecting, campaign orchestration, and sales engagement capabilities.  It lets you push personalized messages to target contacts and optimize your revenue strategy as you go along. Features: Lead database of 250m people and companies Engagement Suite for creating personalized marketing sequences based on ICPs Intelligence Suite with tracking, analytics, and targeting capabilities Pricing: Basic: $49/mo Professional: $99/mo Custom enterprise plans Free plan with limited features 8. Uberflip Uberflip is a content creation, curation, and distribution platform that helps marketers deliver relevant messaging. Features: Aggregates and serves personalized content based on intent data Built-in analytics for measuring content performance and strategy planning Pricing:  Varies based on the number of users and features 9. Alyce Alyce is an AI-powered gifting platform with ABM as a key use case.  It provides personalized gifting options for marketers to engage, convert and retain customers.  It offers gift tracking, budgeting, and reporting capabilities. Features: Comes with CRM integration and inventory management features Built-in analytics for monitoring spend, conversion, and ROI So How Exactly Does ABM Work? In ABM campaigns, marketers think of buyers not as individuals but as companies.  They work with sales to identify target businesses, nurture contacts (in buying teams), and engage key decision-makers. Both teams will work together to create personalized messaging for each key prospect to drive purchase intent.  This can include unique sales pitches aimed at dramatically increasing the odds of conversion. ABM may involve a lot of research and coordination but the returns (deal size) are well worth it. What are the Big Challenges of ABM? ABM comes with its own set of challenges. Let’s look at some of the big ones: 1. Poor sales and marketing alignment Sales and marketing alignment is crucial for succeeding at ABM. The challenges are many: Both have different KPIs and processes Incomplete or inaccurate lead data Reporting issues These problems can be mitigated by: Integrating workflows so that both teams can function effectively   Syncing campaign management and reporting 2. Flawed key account mapping Many ABM practitioners fail to find the right contacts which affects campaign performance.  The solution? Put buyer behavior in context with their organizational structure and business goals.  Caveat: you have to be looking at the right data points. 3. No clarity on attribution metrics Finding the right attribution metrics is another problem B2B teams struggle with.  Firstly, the raw customer/activity data may be unstructured as the number of channels increases. Then there are multiple buyers with different needs. For these reasons, aligning marketing and sales attribution for ABM is hard. The right ABM tools can make things much easier though. 4. Lack of scalability ABM is high-touch marketing.  It requires relevant messaging at scale – a tall order if you have a large audience.  The solution: create a base template of

CRM Data Cleansing: How to Keep CRM data Pristine CRM On average, in a B2B company, the volume of prospect and customer data doubles every 12-18 months.  This massive influx comes with a significant risk of errors, duplicates, outdated records, and other inconsistencies creeping into your CRM. The longer this dirty data sits in your CRM, the worse the outcomes of your CRM would get much like a snowball rolling downhill. What can you do?  Implement robust CRM data cleansing practices. These practices include conducting regular CRM data audits, using CRM data validation techniques, and leveraging automated tools to keep your data clean and credible.  Ep #12: Driving Revenue With Clean CRM Data ft. Jacki Leahy In this article, we will learn all about CRM data cleansing and how automation and AI ease the process of data cleansing.  Let’s get started with the basics.  What is CRM Data Cleansing? Imagine you are going on a trip and need to pack your stuff. Will you be able to do it in a messy room full of stuff scattered everywhere? You’d spend ages just trying to find your things, let alone packing them efficiently. But when everything is neatly organized, you can do all the packing in a fraction of the time. Well, CRM data cleansing is similar. It’s all about taking that chaotic, messy data and transforming them into well-organized and accurate datasets.  In a nutshell, CRM data cleansing is the process of identifying and fixing inaccurate or incomplete data in your CRM database. It involves detecting and eliminating duplicate, outdated, or irrelevant data, ensuring that the CRM database remains accurate and up to date informing smarter and reliable business decisions. How Poor CRM Data Hygiene Affects Your Revenue For great results, you need to be careful of what you feed your CRM system. Or else, it becomes a classic case of “garbage in, garbage out.” You cannot expect great results from CRM insights if the source of the data in it is unreliable.  Data lies at the heart of gaining visibility on where to make improvements, drive focus on leading indicators and fix the revenue funnel before it breaks. If the data in the CRM in itself is plagued, you cannot expect insights from it that drive revenue.  In fact, it is quite the opposite. In a recent survey, 44% of respondents estimated their company loses over 10% of annual revenue due to poor data quality. Such data inefficiencies are causing revenues to leak through your funnel in myriad ways.  Some of them include: 1. High employee turnover CRM users aka your employees are reaching a saturation point. 64% of them say they would consider leaving their current role if organizations don’t invest resources in a CRM data quality plan. In a world where talent is scarce, employees leaving would mean so much more time and resources gone in hiring more people, onboarding them and keeping them engaged. 2. Poor sales forecasting The quality of your sales forecast has a direct impact on your revenue. A poor sales forecast is a result of bad data fed into your systems that fail to predict how much revenue will be closed quarter after quarter. The result is wasted resources on avenues that lead to no result. 3. Poor ROI from tech stack Revenue leaders invest in different tools as a part of their tech stack, CRM being one of them. But all these tech stacks can only deliver ROI when they have the right data to work with. Without quality data, these tech stacks will just remain as shiny objects that eat up budgets without delivering any meaningful value to revenue.  4. Poor targeting Picking up all contacts from a CRM and running a uniform campaign for all is passe. Today’s customers want hyper-personalized messaging, which requires marketing teams access to high-quality data that tell them more about their contacts than simple name and email ids.  CRM data tells marketing teams who to target for their campaigns. It fails to address the “why.”  Bad data aggravates this problem by sending wrong messages to the wrong customers for solutions they might not even be looking for, thus putting the reputation of a brand on the brink of damage. Advantages of CRM Data Cleansing  Leverage the power of a clean CRM to drive business growth in the following ways:  1. Effective prospect communication Clean data ensures you reach the right people with the right message at the right time. By having accurate contact details, preferences, and purchase history, you can personalize your follow-ups, build effective marketing campaigns, and provide exceptional customer service. 2. Improved productivity Outdated or incorrect data leads to wasted time and effort. We are not the only ones saying this, a report by Mckinsey says that employees spend 9.3 hours a week simply searching for the data they need.  By keeping your CRM clean, you avoid redundant tasks, such as contacting the same leads multiple times or dealing with undeliverable emails. It streamlines your processes, increases efficiency, and allows your team to focus on what matters most—building valuable customer relationships. https://youtu.be/-Zi6T1Ny9jI 3. Improved conversion rates 78% of businesses say that the data they collect helps them increase customer acquisitions and lead conversions. Reliable CRM data enables your sales team to target the most promising leads and opportunities. By eliminating duplicates, outdated leads, or invalid contacts, businesses optimize their sales efforts, increase conversion rates, and close deals more effectively. 4. Cost savings Maintaining clean data prevents unnecessary expenses. By avoiding mailing or marketing to incorrect or inactive contacts, you save on time and costs. Additionally, you reduce the risk of penalties associated with non-compliance, such as sending messages to individuals who have opted out.  Here’s something to cement our claim, data quality issues can cost a lot of revenue around 1/5th of the sales to be precise. 5. Better customer segmentation  Clean CRM data allows you to segment your customer base effectively. By organizing and categorizing customers based on accurate data points like demographics, purchase history, and preferences, you can create targeted marketing campaigns and personalized

Your CRM Contact Data is the Key to Drive Sales Efficiency. Here’s How. Sales Activity Capture Driving sales efficiency remains the ultimate goal for most businesses. Going after the right deals, building long-lasting relationships with multiple buyers in an account is key. This evolving landscape demands sales teams to be agile, strategic, and, most importantly, armed with the right data.  And at the heart of this data-driven revolution lies B2B contact data – a crucial element in the arsenal of sales teams striving for success. Having access to contact data can open several doors for sales teams.  Organizations already have a wealth of contact data. Unfortunately, they are trapped across various applications and tools in siloed Go-to-market (GTM) systems. Think of crucial data trapped in phone calls, emails, meetings, calendars and countless other tools that your reps use.  The CRM, intended as the central hub for this information, often becomes a repository of incomplete, inaccurate, or rapidly decaying data. Manual updates are sporadic, and the consequence is a compromised ability to engage effectively with prospects. The result? Critical data about prospects and buyers never make it to the CRM. And your sales team ends up targeting the wrong people and chasing the wrong deals. That’s the opposite of efficiency.  Merely having a vast pool of contact information is not enough. Tracking the dynamic relationship between sales teams and prospects is table stakes. Every interaction – phone calls, demos, emails, and notes – needs to be meticulously recorded. And shared in a unified manner for sales and marketing teams to be on a common page.  Enter AI-led Contact Data Automation The solution lies in automating contact data capture into CRMs and deploying Artificial Intelligence (AI) for real-time actionable insights. This not only streamlines the process but also ensures that the data is consistently accurate. AI provides a unified, comprehensive view of prospects, enabling sales teams to deliver an exceptional buyer experience at every stage of the journey. Benefits of AI-led Contact Data Automation Introducing AI-led automation into your contact data strategy can yield several benefits across the buyer’s journey. Let’s look at the top ones: 1. Clean, Complete, and Up-to-Date CRM Data AI can automate the process of collecting, cleaning, and updating contact data, ensuring that your CRM is always equipped with accurate and current information. This improves the reliability of your data and allows for more effective communication with leads and customers. 2. Automated Manual Tasks AI can take care of time-consuming tasks like data entry, freeing up valuable time for your sales team. This allows them to focus on more important tasks, such as building relationships with leads and closing deals. 3. Actionable Insights AI can analyze contact data and provide actionable insights about leads and buyer behavior. This can help sales teams understand their target audience better, tailor their sales strategies, and improve the effectiveness of their campaigns. 4. Predictive Analytics AI can use historical data to anticipate future trends and behaviors. This allows sales teams to stay ahead of the competition by identifying potential opportunities and risks in advance. 5. Unified View of Deals and Activities AI can provide both sales and marketing teams with a unified view of data, allowing for better collaboration and alignment. This ensures that both teams are working with consistent and accurate data, leading to more effective campaigns and sales strategies. Use Cases for Sales Efficiency From the first point of contact to nurturing long-term customer relationships. AI-led contact data automation can address various gaps in the sales process. And real-time insights into deal status and buyer behavior can become the foundation for driving sales efficiency. Let’s look at some of our top use cases that contact automation can drive for sales: 1. Contact-Level Engagement Insights for Effective Multithreading Pushing deals from creation to closed-won requires strategically engaging every member of the buying committee. Quite often, sales leaders do not have visibility into who their sales reps are engaging in every deal. They rely on a download from the deal owners during the pipeline review calls. But almost always, most deal owners simply talk about champion and/or economic buyer engagement. It’s rare to discuss buying committee coverage, which can have 10-30 members involved if we consider enterprise deals. What makes this worse is that the opportunities in CRM would also only show 2-4 contacts. Sales leaders and managers continue to be in the dark. They don’t know what they don’t know. By automating contact data capture, sales leaders instantly get visibility into buying committees. Combining this with good Salesforce reporting, they can gain visibility into the depth and breadth of engagement with each member of the buying committee. Such insights enable sales leaders to guide deal owners to execute more effectively. While this is the age of AI, the truth remains that people buy from people, especially in high-touch B2B sales. This mandates reliable visibility into the strength of buyer-seller, or rather buying committee-seller relationships. Each buying committee member is like a door. All doors lead to the same destination, in this case, that destination is ‘closed-won’. But the path to closed-won can vary behind the door. Some doors can open long paths, some short. So every door must be opened because you never know which door has a shorter and quicker path to achieving a closed-won deal. 2. Sales-Marketing Harmony for Account-Based GTM If you’re a sales leader or an operations leader planning an account-based GTM strategy, ask your marketing counterparts if they have unprecedented access to clean and complete contact data. There’s a very high chance that their response will be ‘limited’. And don’t be surprised or offended if they blame your sales reps for not adding contacts to the CRM. Your marketing teams are forced to rely on third-party data vendors for contact data, when in reality, there’s an abundance of those in your sales reps inboxes and calendars. The result? Irrelevant marketing campaigns due to poor audience targeting. This is where sales reps start blaming the marketing team for poor air-cover.

The Ultimate Guide to After-Parties at the Forrester B2B Summit 2023 ABM RevOps Sales Looking to take your networking and socializing to the next level at the Forrester B2B Summit 2023? Look no further!  We’ve curated a list of the hottest parties happening during the summit, ensuring you have a fantastic time while connecting with industry leaders, enjoying live entertainment, and creating lasting memories.  From poolside gatherings to VIP lounges and late-night soirees, these parties offer the perfect blend of business and pleasure. So grab your dancing shoes, bring your A-game, and get ready for an unforgettable experience! 1. Poolside Welcome Party by Bigtincan Dive into the Forrester B2B Summit with Bigtincan’s Poolside Welcome Party! Enjoy a relaxed and vibrant atmosphere, sip on refreshing drinks, and mingle with industry experts while taking in the poolside ambiance. Date: 4th June 2023Time: 5:30pm – 7:30pmVenue: Fairmont Poolside Terrace, 7th FloorMore Info Here. 2. Forrester Pre-party with Sequel Kickstart your Forrester B2B Summit experience with the exciting Forrester Pre-Party by Sequel. Connect with industry professionals, enjoy a relaxed and welcoming atmosphere, and get ready to network and engage in insightful conversations before the main event begins. Date: 4th June 2023Time: 6:30pm – 9:30pm CDTVenue: Zanzibar Rooftop Bar, 304 E Cesar Chavez St, Unit 700, Austin, TX 78701Register here. 3. Bombora VIP Brunch Start your day off right with the Forrester B2B Summit Brunch hosted by Bombora. Enjoy a delicious spread of gourmet food, connect with industry peers over a delightful meal, and fuel up for a day of learning, networking, and inspiration at the summit. Date: 5th June 2023Time: 8:00am – 9:30amVenue: The Four Seasons, 98 San Jacinto Blvd, Austin, TX 78701Register to Attend 4. Relax, Refresh, and Recharge with Demandbase Take a break from the conference and rejuvenate at the Smart Lounge. Unwind in a serene atmosphere, indulge in self-care activities, and refuel your energy with rejuvenating amenities and experiences, ensuring you stay at the top of your game throughout the Forrester B2B Summit. Date: 5th & 6th June 2023Time: 8:00am – 5:00pm CTVenue: 340 E 2nd St, Austin, TX 78701Save your seat 5. Sendoso’s VIP Happy Hour Elevate your networking experience at the exclusive VIP Happy Hour. Enjoy premium drinks, engage in strategic conversations, and connect with top industry influencers in a sophisticated and intimate setting, making it a must-attend event for forging valuable connections at the Forrester B2B Summit. Date; 5th June 2023Time: 6:45pmVenue: Zanzibar, 304 E Cesar Chavez St Unit 700, Austin, TX 78701Sign Up 6. Happy Hour and Networking at Half Step Bar by Showpad Raise a glass and connect with fellow professionals at the lively Happy Hour and Networking Event. Enjoy drinks, engage in meaningful conversations, and expand your network in a vibrant and collaborative environment, fostering valuable relationships at the heart of the Forrester B2B Summit. Date: 5th June 2023Time: 7:00pm – 9:00pmVenue: Half Step Bar, 75 1/2 Rainey Street Austin, TXSave your Spot 7. Hotness Happy Hour by Demandbase Spice up your networking experience with the Hotness Happy Hour. Savor tantalizing cocktails, engage in lively conversations, and connect with industry influencers in a vibrant and energetic setting, making it a memorable and dynamic part of your Forrester B2B Summit journey. Date: 5th June 2023Time: 7:00pm CTVenue: 340 E 2nd St, Austin, TX 78701Save your seat 8. Chill Time at the Forrester B2B Summit Enjoy some chill time at the Forrester B2B Summit at the Lucille Patio Lounge. Hosted by Stensul, MRP, Openprise, and Shift Paradigm, you can expect some delicious food and refreshing drinks in a fully private space. Austin’s very own Jo James is also scheduled to perform some live Texas blues music! Date: Monday, 5th June, 2023Time: 6:30pm – 8:30pm CTVenue: Lucille Patio Lounge, 77 Rainey Street, AustinRegister Here. 9. B2B: Brews & Bites Immerse yourself in a dynamic B2B event hosted by Knak. Engage in interactive sessions, gain valuable insights from industry experts, and discover cutting-edge strategies to elevate your B2B marketing game, making it an essential experience for attendees at the Forrester B2B Summit. Date: 6th June 2023Time: 4:30pm – 8:30pmVenue: Banger’s Sausage House and Beer Garden, 79 Rainey Street, Austin, TXGet on the Guestlist 10. Red Carpet & Private Concert by Bigtincan Get ready to rock out at the exclusive Private Concert during Forrester B2B Summit 2023! Experience an electrifying performance by renowned artists, dance the night away, and create unforgettable memories with fellow attendees. Enjoy cocktails, lively conversations, and forge new connections with industry professionals in a relaxed and informal setting. Date: 6th June 2023Time: 7:00pm – 10:00pmVenue: Austin Convention CentreMore Info Here. 11. Modern RevTech Happy Hour Join a Texas-style happy hour! Rather than just adding more tools to your sales and marketing team infrastructure – add the right, modern tools that work together. Join leaders from Highspot, Klue and Salesloft in a casual environment to learn more. Appetizers and drinks will be served. Date: June 6, Time: 5-7pmVenue: Vince Young SteakhouseRegister here.   With this exciting list of parties, the Forrester B2B Summit 2023 promises to be an event like no other. These parties provide the opportunity to unwind, build connections, and enjoy the vibrant atmosphere alongside like-minded professionals. We can’t wait to meet you there! Did we miss out on any event? Send a tweet to @ainektar and we’ll be sure to add it in. Meet the Nektar Team!  Come, say hello to the Nektar team (Jordan, Logan, Danielle, & Abhijeet). Whether it’s about after-parties, accelerating your revenue funnel or plugging CRM data gaps, we would love to chat.   Book a time here.