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What is Predictive Sales Analytics?

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

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Your Guide to Dreamforce 2024 After-Parties

Your Guide to Dreamforce 2023 After-Parties Event 10 min Networking and Nightlife: Unveiling the Social Soirees of Dreamforce 2023 The excitement isn’t just in the conference rooms and keynote stages as the most anticipated event in the tech world, Dreamforce 2023, approaches. Salesforce’s annual Dreamforce tech event is known for its ground-breaking panel discussions as well as its legendary afterparties. Check out our carefully prepared list of Dreamforce 2023 afterparties that you simply should not miss. 1. Whatfix Dreamforce Cocktail Soirée Date: September 12, 2023 Time: 7PM Where: Cityscape Lounge Register here: https://go.whatfix.com/dreamfix-2023/?utm_source=party_blog&utm_medium=blog&utm_content=register_pass&utm_campaign=df-2023&utm_term= Whatfix is organizing a night filled with good food, drinks and an opportunity to connect with some of the most brilliant minds in the industry. This gathering will take place at the highest rooftop bar in San Francisco, offering an unparalleled 360° cityscape. So get your cameras ready to capture the breathtaking San Francisco skyline while getting pumped for the event! 2. Dreamfest 2023 Date: Sep 14, 2023 Time: TBA Where: Chase Center Note: Dreamfest access is included in your Dreamforce ticket. The biggest Dreamforce party is here and we are all hyped for it! Once again supporting UCSF Benioff Children’s Hospitals Foundation, this year’s main act hasn’t been announced yet but it’s totally acceptable to get excited already as we are too. 3. Tableau and MuleSoft Welcome Reception Date: Sep 11, 2022 Time: 5PM – 8PM Where: PABU Izakaya Register Here: https://www.tableau.com/community/events/tableau-and-mulesoft-welcome-reception-dreamforce-2023-09-11 Kickstart your Dreamforce journey with flair, accompanied by Ryan Aytay, the Chief Executive Officer of Tableau, alongside distinguished figures from the industry. Enjoy a delightful evening of refreshments, sushi delicacies, and live musical performances. 4. ElementsGPT Dreamforce Kickoff Party Date: Sept 11, 2022 Time: 6:00 PM – 9:00 PM Location: Elements Cloud Spaces, 95 3rd St Register Here: https://df23events.com/go/elements-gpt-party You simply can’t miss this one happening just a block away from Moscone. Mingle with people from the industry, plan your night and celebrate the spirit of Dreamforce! 5. The RevOps Dream Team Happy Hour Date: Sep 12, 2022 Time: 5:00 PM – 9:00 PM Location: Soma Eats on Second (a short, five-minute walk from Moscone Center) 186 2nd Street, San Francisco, CA, 94105 Register Here: https://tractioncomplete.com/dreamforce23-revops-dream-team-happy-hour/?utm_campaign=24q2+dreamforce&utm_medium=link&utm_source=third+party&utm_content=salesforce+ben&utm_term=happy+hour+sept+12 Join the Revenue Optimists and Traction Complete towards the end of first day of Dreamforce. Mix, mingle and network with the smartest minds in Revenue, Sales and Marketing Operations. 6. AfterParty GPT Date: Sep 12, 2022 Time: 7:00 PM – 1:00 AM Location: Temple Night Club Register Here: https://www.salesforceben.com/dreamforce-party-afterpartygpt/?utm_content=167352256&utm_medium=social&utm_source=linkedin&hss_channel=lcp-7970687 Following the roaring success of 2022, Salesforce Ben is reigniting the party spirit with AfterParty GPT. Taking the inspiration from Summer of AI, the venue is thoughtfully chosen to provide the ultimate party experience while networking with industry experts. 7. Dreamforce After Party Bash Date: Sep 12, 2022 Time: 4:30 PM – 8:30 PM Location: Northern Duck Register Here: https://www.eventbrite.com/e/dreamforce-after-party-bash-salesforce-tickets-687528194337 Celebrate 20 years of Dreamforce with drinks, delectable dim sum, and boundless jubilation at the Dreamforce After Party Celebration! Come join the festivities at the Twitter headquarters in Northern Duck. Stand a chance to mingle with industry leaders here! 8. The Revenue Launch Pad for Dreamfest Date: September 13, 2022 Time: 5:00 PM – 8:00 PM Location: Soma Eats on Second (a short, five-minute walk from Moscone Center) 186 2nd Street, San Francisco, CA, 94105 Register Here: https://tractioncomplete.com/dreamforce23-revenue-launch-pad-dreamfest-happy-hour/?utm_campaign=24q2+dreamforce&utm_medium=link&utm_source=third+party&utm_content=salesforce+ben&utm_term=happy+hour+sept+13 Cheers RevOps! After spending a busy day at Dreamforce, come together and relax with your new found friends at Dreamforce and Traction Complete. Unwind, socialize, and engage with exceptional individuals in the realms of RevOps, sales operations, and sales leadership while enjoying delicious food and drinks. 9. Computer Futures Dreamforce 2023 Happy Hour Date: Sep 13, 2023 Time: 4:00 PM – 7:00 PM Venue: Wine Down SF Register Here: https://www.eventbrite.com/e/computer-futures-dreamforce-2023-happy-hour-tickets-680977410767?aff=ebdssbdestsearch&from=98cdc745265c11eeb9562e4412cf12a8 Relish good food, good drinks and good company as you take some time off to unwind at Computer Features Happy Hour. 10. Marketers Afterglow Party Date: Sep 14, 2023 Time: 4:00 PM – 6:30 PM Venue: Home for Marketers at The Pink Elephant Alibi Register Here: https://dreamforce.sercante.com/marketers-afterglow-party/ Join us to wrap up your Dreamforce journey and engage in a networking occasion tailored specifically for marketers, trailblazers, and the thriving Salesforce community. Enjoy complimentary refreshments while you prepare to bid adieu to the valuable relationships you’ve nurtured throughout the exciting week of Dreamforce. With several other parties and get-togethers lined up in the itinerary, Dreamforce is the right destination for you to meet, network and connect with like-minded brains of your industry alongside taking time to unwind from bustling schedules. We are thrilled to see you there! 11. Vonage Happy Hour Date: September 12 & 13, 2023 Time: 4-6PM Where: Gallery Ballroom, Hyatt Regency San Francisco Downtown Soma, 50 3rd St, San Francisco, CA 94103 Register here Brought to you by Vonage, and sponsors, Verint, AutoReach & Roycon, this Happy Hour will be buzzing with fun, networking and excitement! Maximize your Dreamforce and join us for Drag Queen Bingo and an awesome set from DJ Amy, as well as great snacks and a well-stocked bar. Did we miss out on any event? Send a tweet to @ainektar and we’ll be sure to add it in. Or email us at marketing@nektar.ai Meet the Nektar Team!  Come, say hello to the Nektar team (Jordan, Randy, Ankit, Danielle, & Abhijeet). Whether it’s about after-parties, accelerating your revenue funnel or plugging CRM data gaps, we would love to chat.   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

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Tech Stack Consolidation for Revenue Teams: Streamlining Efficiency and Productivity in 2025

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

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9 Best Account Based Marketing Tools for 2025

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

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CRM Data Cleansing: How to Keep CRM data Pristine

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

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Revenue Operations vs Sales Operations – 6 Key Differences in 2025

Revenue Operations vs Sales Operations – 6 Key Differences in 2025 RevOps 10 min Imagine two departments in an organization working to increase the company’s revenue. Both affect the bottom line, eliminate departmental silos, and support business strategies and objectives. But both of them have different functions. Confused? So are most companies. The revamp of the customer lifecycle in recent years has seen a host of new revenue-related roles cropping up in organizations. So much so that most companies now struggle to differentiate between revenue operations vs. sales operations.  In this article, we differentiate the two – by definitions, use cases, features, and suitability to an organization. Let’s dive right in! You can also tune into this conversation we had with Lorena Morales, Director of Global Digital Marketing Revenue Operations at JLL, where she aptly differentiates between the two functions. https://www.youtube.com/watch?v=H1g_eUwq3Ks What is Revenue Operations (RevOps)? In simple words, RevOps aims to maximize the revenue potential of a company. It’s an integration of marketing, sales, and post-sales functions to provide better end-to-end administration for the management.  A RevOps function is designed to break down the silos between the business departments, including marketing, sales, customer success, customer support, and even finance. It uses cross-department visibility to achieve three shared objectives: identify new revenue opportunities, improve lead conversions, and cover up any revenue leakages.  What is the role of Revenue Operations?   The Revenue Operations or RevOps team aims to increase transparency and communication between all business functions – from lead generation to customer support.  The RevOps function is responsible for managing and analyzing all data points in a customer life cycle. Apart from protecting revenue, a RevOps team also identifies potential customers in the sales pipeline. Another role of the RevOps department includes bringing enablement practices. From employee onboarding to training modules, a RevOps team aims to increase visibility and drive communication by implementing various processes that result in an increase in revenue.  Now let’s have a look at Sales Operations. What is Sales Operations (SalesOps)?  Sales Operations, also known as SalesOps, aims to support sales teams to function more efficiently by providing strategic direction and reducing friction in the process. Sales operations are often referred to as sales, sales support, or business operations. SalesOps use software, engagement techniques, and strategic planning to drive business growth. They promote best practices for sales reps and provide cross departments visibility on any sales data.  In recent times, SalesOps has expanded its role to also provide insights needed by the sales team to ensure optimal and sustainable growth. Source: Forrester Sales Operations Value Model What is the role of Sales Operations? SalesOps have two significant functions –  a. Ensure that the sales department has enough resources to maintain productivity, and  b. Enable accurate data collection to forecast revenue projections.  The structure and daily duties of a sales operations team can vary based on the industry and the size of the company. However, functions like territory planning and sales forecasting are pretty much the bread and butter for most SalesOps teams.  A SalesOps team is also commonly expected to manage sales commission data and implement incentive compensation programs for sales representatives. These individuals will likely monitor the current sales pipeline as well.  It is clear from the above statements, that even though RevOps and SalesOps operate as different entities, they go hand in hand to benefit one another and the overall revenue of the company.  What makes them different then? Let’s find out.  Revenue Operations vs. Sales Operations : The major difference between revenue operations and sales operations is that SalesOps solely focuses on the sales function of a company, whereas RevOps focuses on bringing multiple departments on the same page to ensure business growth. Sales operations, therefore can be seen as a subset of revenue operations. SalesOps are more executional in nature. They take care of day-to-day administrative tasks, including collecting and managing data, tech stack, form submissions, and training. It allows your sales team to focus on approaching leads and closing deals. Revenue operations, on the other hand, take up a more holistic approach involving the entire organization. It acts as a bridge between different departments and tries to increase revenue opportunities by improving communication and aligning them with a common goal.  RevOps focuses on the entire customer journey and seeks to improve the customer experience at every touchpoint including prospecting, sales, onboarding, customer success, and renewal. By focusing on the entire customer journey, RevOps seeks to optimize revenue growth by improving the customer experience at every touchpoint. This approach helps organizations to build long-term relationships with their customers, drive customer loyalty, and ultimately, increase revenue. RevOps function of an organization: 1. Process RevOps facilitates a seamless customer journey from lead generation to cash collection by implementing various well-structured processes, which are imperative for revenue generation. These processes must be reliable and consistent. 2. Technology RevOps teams are also responsible for selecting appropriate tools from the technology stack to ensure the efficient functioning of these processes and aid revenue teams in being productive. 3. Data  Data is a critical aspect of a successful business, and accurate data in systems such as CRM is the foundation of RevOps. The insights derived from this data are vital in driving strategic decisions that aid in the growth and advancement of the business. 4. People The team in charge of managing the systems, processes, and data is the final pillar of RevOps. The size of this team varies based on the organization’s size.  Let’s have a detailed look at the difference between  Revenue Operations vs. Sales Operations in this table: We should also define the differences in team structure for both. It will vary but can we add some crowd-sourced information on that? In terms of team structure, the Sales Ops team is a simple one – they align with sales. Similar to the sales team, they are organized by region, product, or sales channel, depending on the company’s sales strategy. Sales Ops teams can also be at times organized by function, with

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5 Reasons for Low Sales Tech Adoption (And How to Fix It)

5 Reasons for Low Sales Tech Adoption (And How to Fix It) RevOps 10 min With so many tools getting added to sales tech stack, why are adoption rates so abysmal? Get to the root of it in this blog. The sales tech stack is getting taller. The average virtual selling technology stack today has as many as 13 tools! The “shiny object syndrome” is very real. Businesses add sales tools to their tech stacks to treat the symptoms of sales problems. But rarely do they identify the underlying cause of these problems.  Leaders deploy multiple tools to resolve multiple issues. The consequence is The Great Revenue Disconnect – when revenue teams are left to deal with disconnected software with disconnected data that leads to revenue leakage. And reps feel discouraged about adopting new tech.  The result? Companies have wasted $313,000, on average, on sales tools that weren’t fully adopted by reps.  Why haven’t reps warmed up to sales tech despite having so many tools in their basket? Let’s find out in this blog.  What is Sales Tech Used For? Here are a few ways leaders are deploying sales tech: 1. Boost Sales Performance   93% of reps feel that sales tools help build better relationships with buyers. That’s owing to intent and signal-based features that come with most sales software for correctly identifying leads and their needs. 2. Gain Deeper Insights into Prospects   56% of buyers want to communicate with a salesperson five or more times before finalizing a purchase. It means that sales reps need to have more touches per lead. And each interaction should be relevant and personalized if reps want to stay ahead of the competition. 3. Drive Faster Sales   75% of B2B buyers say that the buying cycle has become longer in the last two years. The buying process is more complex and involves virtual selling. Therefore, reps use sales tech to anticipate future needs and leverage multithreading to close deals faster. A byproduct of the process is improved sales productivity. Reasons for Low Sales Tech Adoption (and How to Fix Them) While the benefits of sales tech are noteworthy, sales and RevOps leaders are still facing adoption challenges over the years. We discuss 5 key reasons for low sales tech adoption and how you can fix them. 1. The Problem: Multiple Tools Lead to Mixed Priorities   With so many tools available, selling doesn’t get easier. 86% of sales reps get confused about which tool should be used for which task. For example, if the head of sales asks for a specific report, your customer-facing teams might have to traverse through multiple tabs to get the latest report. Multiple tools trapped in silos only complicate a sales rep’s job, making it difficult to focus on their main task – selling. Adding to the issue, on average, only 28% of sales tools are integrated within organizations, despite the large sales tech stack. The result is disconnected systems between sales and other functions, leading to missed opportunities and revenue leakage from the sales pipeline. It’s no surprise that multiple tools end up stunting growth. As much as 52% of sales leaders report that their CRM costs potential revenue opportunities because the system doesn’t meet their needs. The Fix: Unified Data Solution for Better Visibility Across the GTM Team   A unified data solution automatically captures data – including contact, activity, and intent – which is otherwise spread across multiple tools. Without a unified data platform, reps have to toggle between several apps to dig out insights, miss quotas, and spend more time on training and other non-sales tasks, increasing costs. But with a unified data solution, reps can build the leads pipeline more contextually, close more deals and avoid revenue leakage. 46% of salespersons spend less time looking for information with a one-stop data platform. An added advantage of a unified dashboard is that reps access granular-level insights and consolidated leading indicators for current performance and future potential. They also have complete visibility of stakeholders within a buyer group, which helps them customize each interaction. Multiple sales tools could also cause an information overload. A unified data solution prioritizes speed with real-time insights across the pipeline. 2. The Problem: Reps Aren’t Involved in Sales Tech Purchase   For 76% of companies, poor adoption of sales tools is a top reason they miss sales quota attainment. That’s because most of these tools are purchased based on buyer needs compared to user needs. Generally, leaders (who aren’t involved in day-to-day sales) make the purchase decision for a sales tool. And consequently, vendors tailor the tool to leaders’ or managers’ insights. This also drives leadership-related reporting, analytics, forecasting, and pipeline visibility. Features that make reps’ lives easier – meeting scheduling, buyer behaviour tracking, automatic contact capture – aren’t considered. This disconnect between managers and the frontline is so wide that 42% of managers say it’s clear which tool reps can use for a given task, but only 32% of reps agree. As a result, sales tools don’t mirror how sales reps function. Your team may feel discouraged when they can’t figure out a successful way to make the tools work, resorting to conventional and slower ways. The Fix: Make Sales Tech Work for Reps and Not Vice Versa   Trust goes a long way in managing changes in the sales process. To start with, you can include reps in the sales tech evaluation process by gathering their inputs and understanding their day-to-day tasks. You can use these insights to choose a tool that works for them, not against them. Here’s a comprehensive list of questions you can ask the reps: What challenges do they face in the sales process? What’s inhibiting them from selling better? How much time do they spend on sales versus non-sales tasks? Do they feel stuck in mundane tasks like CRM data entry?  Are they confident in their sales pipeline, including visibility and opportunities? Are they successfully multithreading with buyer groups? If not, what difficulties are they facing? Is the tool sales-centric or marketing-centric? Are they effectively aligned with marketing? How much training would they need to learn the new tool?

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5 Strategic Benefits of Improving Data Quality

5 Strategic Benefits of Improving CRM Data Quality RevOps 10 min Your CRM data quality has a direct impact on how your B2B business scales. Explore 5 strategic benefits of making CRM data quality a priority. The market for CRM systems is exploding. The global market for CRMs is expected to reach $63.91 billion this year. While this says a lot about the increasing demand for CRMs, it does not give a true picture of how valuable CRMs really are. When it comes to realizing the true value of a CRM system, it’s not about the CRM itself. It is about the quality of data that resides in it. Despite this fact, CRM data quality continues to be a significant challenge for businesses. As a result, they fail to harness the true ROI that CRMs promise to bring with it. What kind of quality issues does CRM data face? For starters, 91% of CRM data is incomplete, stale or duplicated each year. And 70% of the data in a CRM decays annually. These inefficiencies wreak havoc on a company’s bottom line, costing companies over 10% of their annual revenue! This problem keeps increasing as more data gets added to a CRM system over time. And before you know it, your CRM turns into a mess with piles of dirty data that adds no value to your business.  Improving and enriching data quality is the first step to realizing a CRM’s true potential. High quality CRM data can open multiple doors for any revenue leader to steer their businesses forward, no matter how the waters are outside. It is a solid foundation that can protect businesses from uncertainties like downturns, recession etc. This article will take you through some of the perils of poor quality data in your CRM. And some top use cases of high quality CRM data driving ROI for a business. Low Quality CRM Data Leads to High Costs According to Gartner, poor data quality makes organizations lose an average of $15 million per year.  The obvious cost of poor quality CRM data comes with paying extra for CRM storage containing stale, incorrect or missing data. But there are also a lot of hidden costs that might be causing serious revenue leakage such as: Increased cost per customer Lower conversion rates Reduced revenue Dip in profits  Forrester Research has found that the persistence of low-quality data throughout enterprise systems robs business leaders of productivity, as they must continuously vet data to ensure it remains accurate. Ignoring these side effects of poor quality data can cause irreparable damages to revenue generation in the long term. To put it simply, any business decision made with poor quality data becomes risky. Be it your marketing campaigns, sales and marketing alignment, pipeline overview or details about your buying committee, poor quality data gives you an even poorer view of your business in all these critical areas. ​​Such data inefficiencies are causing revenues to leak through your funnel in myriad ways. Some of them include: 1. Frustrated sales reps   53% of salespeople have a love/hate relationship with their CRM. They hate manual data entry. 64% of sales teams say they would leave their current role if organizations don’t invest resources in a CRM data quality plan.  CRM systems are taking away valuable productive hours from your sales reps which can be spent on building relationships with customers. This has a direct impact on their quota and makes selling harder for them than it already is.  2. Incorrect sales forecasting   An accurate sales forecast allows revenue leaders to allocate resources efficiently and maximize returns for the future. But poor quality data leads to incorrect forecasts that can lead to massive revenue leakage. The result is wasted resources on avenues that lead to no result. 3. Poor ROI from CRM   CRM systems continue to be one of the biggest investments for businesses. But most businesses fail to extract maximum value out of this investment because CRM data is riddled with inefficiencies. With more time, CRMs end up becoming a major source of revenue drain, and end up adding little to no value to overall business goals.  4. Failed marketing campaigns   In an era where customers demand real-time and personalized messaging, relying on poor quality CRM data to drive such campaigns can end up as disasters. Bad data leads to a string of campaign failures that can damage the reputation of a brand. For example, basing a marketing campaign on a list of stale contacts only ends up spending money on an idea that will never convert.  How To Improve CRM Data Quality Having high-quality CRM data addresses and fixes revenue leakage at its roots. For revenue leaders who want to set up systems, processes and operations that lead to GTM alignment, the first-step is to fix the CRM data quality problem.  And to make sure the data in your CRM is trustworthy, complete and accurate, you must invest in technology that does not put additional pressure on your sales, marketing or customer success teams. Instead, it must enable them to do their job better while the tool silently works its magic in the background. A great example in point here is CRM data entry. It continues to be a largely manual exercise, taking away so much time from sales reps. Manual data entry also leads to higher chance of error in data entry or missing to enter key information that could lead to more deals.  What needs to be done here is not only find a way that automates CRM data entry, but also enriches that data from various GTM tools like CRM systems. This way GTM teams always have correct and updated data to work with. And with a layer of intelligence added on top of this clean data can drive revenue teams towards successful scaling initiatives.  5 Strategic Benefits of Improving CRM Data Quality Fixing your CRM data quality can have a direct impact on your bottom line and fix several unknown revenue gaps.  Here are some use top cases we have seen on how actionable insights from superior

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Top 5 CRM Automation Use Cases

Top 5 CRM Automation Use Cases RevOps 10 min CRM is the soul of every modern business today. It serves as the epicenter for managing customer relationships and sales processes.  But, what gives it that special edge?  CRM automation – that’s right! The automation capabilities take it to a whole new level.  With automation, businesses have stopped wasting resources on repetitive tasks that have minimal to no impact on their revenues. Instead, they just let the CRM take care of these tasks helping them streamline operations, facilitate efficiency, and allocate more time to meaningful customer interactions.  And, that’s not all – CRM and its automation features can do much more.  In this article, we will keep CRM automation at the forefront and discuss the top five use cases through which you can maximize the ROI from your CRM. What is CRM Automation? CRM automation refers to leveraging technology to streamline and simplify various tasks and workflows of your business. It automates repetitive, manual tasks that otherwise hamper productivity. And truth be told, AI is simply upping the game now. Who doesn’t want a helping hand that takes care of data entry, sends personalized follow-up emails, and even reminds when it’s time to reach out to a customer? 94% of employees say they perform repetitive, time-consuming tasks in their role. With CRM automation, your teams can leave behind repetitive tasks and focus on high-value activities such as building relationships and delivering personalized experiences.  But there’s more to it, which is why we will now delve into why exactly CRM automation has become omnipotent today.  Why Do You Need CRM Automation? CRM automation has the potential to turn your business outcomes upside down. Here’s how.  1. Improved sales productivity Free up precious resources and automate repetitive processes. Let technology handle data entry, lead tracking, and follow-ups, allowing your team to focus on revenue-driving sales activities that push your business forward.  According to McKinsey, automation can boost global productivity growth by 0.8-1.4 % every year.  2. Better team collaboration CRM automation facilitates seamless collaboration between teams. Sales, marketing, and customer service departments can access real-time customer data, track interactions, and coordinate efforts. This collaboration ensures a harmonious approach, leading to satisfactory customer experiences and streamlined operations. 3. Data-driven culture Data is everywhere, constantly present and ever-growing, but analyzing it manually can be overwhelming. Since 85% of data is unstructured, automation is critical for a business to save time and minimize mistakes.  CRM automation captures and organizes data, providing you with valuable insights at your fingertips. Make data-driven decisions, identify trends, and uncover opportunities for optimization and growth.   4. Deeper personalization Whether you’re selling, marketing, or supporting your customers, personalization is the new black and for that, you probably don’t want to miss any details. CRM automation enables you to deliver tailored and timely interactions with customers. Automated workflows ensure that no leads fall through the cracks and that every customer receives the attention they deserve, resulting in more satisfaction and loyalty. 5. Sustainable revenue generation At the end of the day, it’s all about the bottom line. CRM automation empowers you to optimize your revenue operations, identify cross-sell and upsell opportunities, and nurture leads effectively. By aligning your teams and processes, you create a well-oiled revenue engine. It comes as no surprise that 61% of businesses leveraging automation reported exceeding revenue targets in 2020.  5 Use Cases of CRM Automation A CRM comes with a wealth of possibilities for your business. We will now explore the top 5 use cases to improve your CRM’s ROI. 1. Contact automation  Don’t let the important contact data sit idle. Use a CRM to automate contact data capture from your reps’ inboxes, calendars, and Zoom meetings. The platform can efficiently organize contacts by segmenting them according to their affinity and level of involvement in current opportunities. The CRM can also automatically build buying committees and keep the contact information updated. The numbers say it all. Companies that incorporate high-level automation into their sales process generate around 16% more leads compared to those that incorporate low-level or no automation. 2. Personalize customer service & onboarding  60% of consumers say they’ll become repeat customers after a personalized experience. If you want to offer personalized support right from the beginning of the customer journey, you need the right data. And what better source than CRM to gather all the data required for personalizing the customer experiences? All relevant customer information stored in one centralized hub which is your CRM helps automate customer onboarding workflows, guide customers through each step, and offer them necessary resources proactively. A complete view of each customer’s history, preferences, and interactions in the CRM empowers businesses with the data they need to address customer needs promptly thereby delivering consistent and personalized experiences. 3. Run lucrative marketing campaigns The top marketing priority of 44% of businesses is increasing revenue from current customers. To yield such results, a CRM becomes vital for businesses to run effective marketing campaigns. They can use the customer data in the CRM for targeting and segmentation of their audience.  Businesses can further personalize their messaging to resonate with specific customer segments, improving the conversion rate. CRM automation also plays a pivotal role by simplifying campaign workflows and automating email sequences for timely customer engagement.  To go one step ahead, you can also integrate CRM with marketing tools to enhance reach and enable cross-channel campaigns. Robust tracking and analytics of CRM provide businesses with insights into campaign performance, enabling them to optimize strategies for higher campaign returns.  4. Identify business opportunities and trends  Harness CRM analytics to dive deep into customer behavior, trends, and campaign performance. Understand hidden patterns, identify opportunities, and make data-backed decisions that will certainly take your business forward.  The analytics are important to identify high-potential prospects, understand their pain points, and tailor your sales pitches accordingly. With a CRM, you also get a detailed view of the sales pipeline, allowing your team to identify bottlenecks and optimize the sales process. The impact is evidently huge as 62% of retailers have stated that using big data gives them a competitive advantage. 5. Reliable sales

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Top Revenue Optimization Software for 2025

Top Revenue Optimization Software for 2025 RevOps 10 min Is your sales team striving for sustainable growth and profitability? Achieving these objectives requires a keen focus on optimizing revenue streams. Revenue optimization software is a critical element in achieving these goals. Comprehensive research and informed decision-making in software selection become crucial to maximize your revenue potential.  This article looks at the top revenue optimization software for 2025. We will conduct an in-depth analysis to provide you with a valuable resource. It will simplify your decision and help you implement the most effective tool for revenue enhancement. Top Revenue Optimization Software for 2024 1. Nektar 2. Clari 3. Gainsight 4. Planhat 5. Accord 6. Churnzero 7. Totango 8. Aviso 9. Vitally What is a Revenue Optimization Software? Revenue optimization software is a strategic solution that assists organizations in maximizing their revenue potential. The software leverages advanced data analytics, and artificial intelligence to provide actionable insights. You can understand finer details about pricing, demand forecasting, inventory management, sales strategies, and more.  Integrating and analyzing large datasets helps businesses make data-driven decisions that enhance revenue performance. Revenue optimization software thus serves as a critical tool for enterprises seeking to optimize their pricing strategies and boost sales. There is an added advantage of streamlined operations while maintaining a competitive edge. Overview of Top Revenue Optimization Software for 2025 Here are the ten best revenue optimization software solutions for your business in 2025. 1. Nektar Nektar is the world’s first AI for revenue operations. The platform takes an innovative approach to revenue management by harnessing the power of actionable relationship data to combat revenue churn effectively.  Nektar excels in addressing CRM data gaps, both historical and ongoing, through the application of AI time travel. It ensures organizations possess a comprehensive and up-to-date understanding of their customer relationships. The software can transform popular communication platforms like Slack or MS Teams into an early warning system. It can proactively mitigate revenue risk by identifying potential issues before they arise.  Extracting valuable insights from seller conversations and tracking champion movement makes Nektar adept at surfacing new pipeline opportunities and hot leads. Your sales team can ultimately seize revenue-generating prospects. Nektar insists on the importance of CRM data accuracy as a prerequisite for unlocking its generative AI capabilities. This way, the platform ensures it is a reliable and indispensable asset for your go-to-market process. Top features and benefits: Zero rep adoption Day 1 ROI Zero change management Seamless deployment 2. Clari Clari offers a comprehensive revenue platform to enhance efficiency, predictability, and growth throughout the revenue process. With Clari, revenue teams gain unparalleled visibility into their business operations for improved buyer-seller alignment.  There’s also proactive identification of risk and opportunity within the sales pipeline. The heightened visibility significantly improves forecast accuracy and drives operational efficiency. Revenue professionals can foster better connectivity, efficiency, and predictability in their revenue processes. It will ultimately empower them to achieve sustainable growth and success. Top features and benefits: Forecasting & RevOps Conversation intelligence Sales engagement Deal inspection & management Mutual action plans & deal rooms Data capture & ingestion 3. Gainsight   Gainsight is a pioneering revenue optimization software that exemplifies the future of growth through its innovative, customer-centric technology. Gainsight empowers customer success, product, and community engagement teams to scale their operations efficiently. The platform fosters alignment and provides a comprehensive view of their customers.  A holistic approach aids in boosting product adoption and proves instrumental in preventing churn and nurturing the growth of customer communities. Gainsight CS is thus a vital asset for businesses committed to delivering exceptional customer experiences while driving revenue growth and fostering lasting customer relationships. Top features and benefits: Identify and prevent revenue leakage Drive a high-performing renewals process Identify and execute expansion opportunities to drive growth 4. Planhat Gainsight is a pioneering revenue optimization software that exemplifies the future of growth through its innovative, customer-centric technology. Gainsight empowers customer success, product, and community engagement teams to scale their operations efficiently. The platform fosters alignment and provides a comprehensive view of their customers.  A holistic approach aids in boosting product adoption and proves instrumental in preventing churn and nurturing the growth of customer communities. Gainsight CS is thus a vital asset for businesses committed to delivering exceptional customer experiences while driving revenue growth and fostering lasting customer relationships. Top features and benefits: Identify and prevent revenue leakage Drive a high-performing renewals process Identify and execute expansion opportunities to drive growth 5. Accord Accord is a revenue optimization software designed to fortify sales processes and methodologies. It helps in enhancing the predictability and efficiency of deal execution. The platform empowers organizations to directly integrate their successful sales strategies into their sales representatives’ workflows.  Accord helps sales teams with the tools to execute winning sales processes consistently. It contributes to a more efficient approach to revenue generation. The emphasis on reinforcing established methodologies and delivering them directly to the front lines makes Accord invaluable for businesses aiming to optimize revenue. Top features and benefits: Standardized best practices across reps on every deal Up-level sales execution for enhanced deal velocity and win rates Increased team efficiency through decreased rep ramp times 6. Churnzero ChurnZero helps subscription-based businesses thrive at scale. It has a comprehensive suite of tools meticulously crafted to enhance efficiency, boost revenue, and deliver unparalleled customer experiences. Leveraging cutting-edge automation, personalization, in-app communications, and the innovation of Customer Success AI™ helps the platform facilitate seamless customer engagement. The platform guides them towards realizing the total value of their investments.  ChurnZero offers varied resources, including journeys, health scoring, survey tools, segmentation, playbooks, robust reporting, real-time alerts, guided walkthroughs, collaboration centers, and more. Furthermore, ChurnZero seamlessly integrates with your CRM and technology stack. It ensures a cohesive and efficient approach to achieving sustainable revenue growth while focusing on customer satisfaction. Top features and benefits: Systematically track upcoming renewals Use health scores to gauge the likelihood of renewal Automate renewal activities Easily identify expansion opportunities Increase in-app upsell conversions 7. Totango Totango helps cross-functional enterprise teams enhance productivity and retention

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