Unlocking Data Success: How RevOps Can Transform Data Hygiene for Companies Data hygiene is an essential prerequisite for revenue growth. Read about the role RevOps can play in championing this cause. CRM RevOps In today’s hyper-competitive business landscape, organizations are increasingly recognizing the indispensable value of data in driving growth. However, the sheer volume, velocity, and variety can pose significant  data cleaning challenges. Data hygiene issues can hinder decision-making, customer experiences, and overall operational efficiency.  As a RevOps team, you need to be able to help all teams. A big part of it is making sure all the different tools and systems are connected. RevOps is there to plan, help with processes, building process paths and writing those out. It is also the keeper of truth. When it comes to numbers, we need to ensure that people have actionable data, and we help them with the best process to move forward.  – Trent allen, revenue operations manager at maxio In this blog, we re-look at our conversation with Trent Allen, Revenue operations manager at Maxio – the financial revenue operations platform. We discuss Revenue Operations (RevOps), and how it can offer a strategic approach to address data hygiene concerns to unlock untapped potential. Listen to the full conversation here: Ep #9: Championing Data Hygiene With RevOps ft. Trent Allen Let’s begin with what’s data hygiene and how RevOps can help solve the issue of unclean data: What is Data Hygiene? Data hygiene refers to the practices and processes used to ensure data’s cleanliness, accuracy, and reliability. It involves maintaining and improving data quality throughout its lifecycle, from creation to disposal. Organizations can minimize errors, inconsistencies, redundancies, and other issues impacting data integrity and usefulness by implementing data hygiene measures. Data hygiene is crucial in RevOps by ensuring accurate, reliable, high-quality data across all revenue-related functions. Clean data enables informed decision-making, as it provides accurate insights and trends. Check out our entire conversation with Trent, around Revenue Operations, and how it can facilitate data hygiene. https://youtu.be/-Zi6T1Ny9jI?si=BEKxKMTmlCLGwzsb What is RevOps? And What Role Does Data Hygiene Play in it? RevOps, short for Revenue Operations, is a strategic approach that aligns and integrates an organization’s sales, marketing, and customer success teams. It optimizes revenue generation by breaking down silos, improving collaboration, and streamlining processes across these departments. RevOps teams typically work on aligning sales and marketing strategies, implementing and optimizing sales processes, managing and analyzing customer data, and leveraging technology tools to improve operational effectiveness. RevOps ensures a cohesive and coordinated approach toward revenue generation by aligning sales, marketing, and customer success efforts. It promotes better communication, eliminates inefficiencies, and enables data-driven decision-making. A critical aspect of coordinating various departments is ensuring the cleanliness and accuracy of data, which is where data hygiene comes into play. RevOps recognizes that high-quality data is essential for making informed decisions. By implementing data hygiene practices, RevOps teams work to cleanse and maintain data integrity, eliminating errors, duplicates, and inconsistencies. I think a big part  is making sure all the different tools and systems are connected and that the data is passing between them fluidly, so that the end-user can save their time.  – Trent allen, revenue operations manager at maxio How Can RevOps Facilitate Data Hygiene? A company’s data is like a garden—a vast expanse of information, ripe with potential. However, just like a garden, data requires meticulous care and attention to thrive. This is where Revenue Operations (RevOps) steps in as the expert gardener, armed with the tools and strategies to ensure optimal data hygiene. Here are a few ways in which RevOps can contribute to maintaining clean and accurate data: 1. Data Governance RevOps can establish data governance policies and standards across the organization. This includes defining data quality metrics, data validation rules, and data ownership responsibilities. RevOps ensures that data is managed consistently and effectively by setting clear guidelines. 2. Data Integration and Alignment: RevOps teams work towards integrating data from various sources, including sales, marketing, and customer success systems. They can identify and resolve inconsistencies, redundancies, and inaccuracies by aligning data from different departments. This process improves data integrity and ensures a single source of truth. 3. Data Clean-up and Enrichment Data cleaning and enrichment includes reviewing and updating customer and prospect information, eliminating duplicate records, and correcting errors or inconsistencies. This enhances data accuracy and reliability. 4. Data Analytics and Reporting Data analytics tools and techniques can provide insights into customer behaviour, revenue trends, and sales performance. RevOps identifies patterns, anomalies, and data quality issues by analyzing data. This information helps in addressing data hygiene challenges and improving overall data quality. 5. Training and Education RevOps teams can train employees across departments on data hygiene best practices. This includes educating teams on data entry standards, data maintenance procedures, and the importance of data quality. By increasing data literacy within the organization, RevOps promotes a culture of data hygiene. Clean data ensures accuracy, integrity, and reliability, leading to improved decision-making and strategic planning. Data hygiene enhances operational efficiency, as it reduces errors, duplicates, and inconsistencies that can hinder processes. You want to be careful about what you allow to be manually input, if the data is flowing to your center of truth, then it can have a huge impact. Every team has a different model, and with us, we have made RevOps to be the centralized pillar of truth for the company.  – Trent allen, revenue operations manager at maxio Benefits of Having a Data Hygiene Strategy Let’s have a detailed look at the various benefits of Data Hygiene:  1. Accurate decision making Clean and accurate data serves as a reliable foundation for making informed decisions. By ensuring data integrity, organizations can trust the information they rely on, leading to more accurate insights and better decision-making at all levels. 2. Improved operational efficiency Data hygiene minimizes errors, redundancies, and inconsistencies in data. This leads to streamlined processes and increased operational efficiency. Clean data allows employees to access and use relevant information quickly, saving time and

10 Tips for Efficient Pipeline Tracking RevOps 10 min When times are tough, you need twice as many opportunities to close one deal. And to get more opportunities, you need quality prospects. A sales pipeline can give you an overview of what your selling cycle looks like. But how do you zero in on the right deals? How do you know they won’t fall flat a month down the line? Meticulous pipeline tracking is the answer. It brings sales reps closer to the moment of truth – will the deal close or not? Let’s get started. What is Sales Pipeline Tracking? Pipeline tracking puts every deal under the scanner.  It tells you how each one stacks up in terms of revenue potential – which deals are likely to convert, by when, and what stage they are currently in. Reps can then work backward from the goal and focus on the ones that will give them the best chance of hitting quota.  Let’s understand with an example. Let’s say your conversion rate for the month is 12% on a pipeline worth $1 million.  To achieve a quota of $300,000, you will need to double the number of opportunities you have lined up. Many people think the sales pipeline and sales funnel are the same.  There’s a difference, and it’s this: Sales pipelines represent the sales cycle from the seller’s perspective.  Sales funnels visualize it from the other side – the customer’s perspective. Related Resource: 5 Ways to Improve Your Sales Pipeline Visibility With sales pipeline tracking, you can: Pinpoint lagging deals and take steps to revive them. Estimate how many deals are likely to close in the next month or quarter. Analyze sales productivity by individual or team and see if they are doing the right activities. Share actionable advice on the best way forward. Make deal forecasts more accurate Identify opportunities for sales optimization What are the Components of Pipeline Tracking? Pipeline tracking has three key components: 1. Opportunity Stages These stages show the relative position of a deal since entering the sales funnel. 2. Conversion Rates This is the rate at which leads turn into opportunities and opportunities into sales. 3. Pipeline Value This is the total dollar value of the pipeline as a whole. It represents the total revenue potential of every active opportunity. 10 Tips for Efficient Pipeline Tracking For pipeline tracking to be effective, sales teams must: 1. Define the right pipeline stages Pipeline stages like ‘closing’ or ‘negotiation’ can be confusing for reps in the middle of a busy day.  To be fair, many sales managers use the default stages available in Salesforce or other tools.  But this ends up affecting pipeline visibility, forecasting accuracy, and revenue numbers.  The key is to: Be as specific as possible when describing each stage. For example:  ‘first call – no answer’ or ‘quote sent for approval.’ Make sure that pipeline stages relate to the sales process. Have a limited number of deal stages – no more than 7. 2. Define clear exit criteria for each stage Now that we’ve defined our pipeline stages let’s think about the exit criteria for each.  You can do this through a series of Yes/No questions based on the status of an account.  Depending on the deal stage, a few good questions could be: Has the rep qualified the customer by asking relevant questions? (Needs Analysis stage) Is the rep in contact with the economic buyer or the champion? (Initial Meeting/Needs Analysis stage) Has the customer confirmed they’re OK with the proposal/ mutual action plan? (Proposal stage) Has the customer agreed to sign the contract? (Negotiation stage) Clear exit criteria enable reps to move deals from one stage to another with ease.  Why not specify review criteria so reps can clean up their pipeline too?  You can benchmark the average closing time per rep and then track the following: The number of days a deal has been open The number of days since the last activity The expected close date mentioned by the rep In any case, tell your reps to reach out one last time before dropping a lead. You never know if they might have a future requirement. 3. Define the right pipeline metrics Pipeline metrics play a key role in setting KPIs and sales quotas based on the goal.  Some key metrics are: a. Number of new leads This is the total number of new leads entering the pipeline. Many businesses track new leads by source. Others prefer to track them at the opportunity stage. b. Pipeline value This is the total projected value of the opportunities you currently have. c. Conversion rate This includes converting leads to opportunities or closing opportunities into deals. d. Sales Cycle Length This represents how long it takes your reps to finally close a deal. Other key pipeline metrics include: Annual recurring revenue Average revenue per user Average deal size Pipeline velocity Related Resource: 15 Sales Metrics You Must Track 4. Streamline lead scoring Why do some opportunities score high but don’t convert?  And what about opportunities you didn’t pay much attention to but ended up closing?  If this happens too many times, it could be a sign that reps are not qualifying leads enough.  And this could create bottlenecks a couple of months down the line.  Review your lead scoring criteria – plus the lead qualification methodology.  This can help focus on opportunities with the best potential for closing. 5. Prioritize pipeline reviews Many sales managers focus all their attention on late-stage (negotiation) deals.  And that’s important from the revenue point of view.  But sales reps do need a big-picture view of the pipeline as a whole.  Pipeline reviews can help identify the winnable deals earlier in the funnel and find ways to achieve quota.  Managers can verify the ‘real’ opportunities and coach accordingly.  Now, it’s not possible for busy sales teams to have pipeline reviews every day.  But managers can share pipeline reports so that reps know what’s going on. Beginning of the 90-Day Phase: Vision and Execution 6. Customize Salesforce

7 Salesforce Reporting Tools to Consider in 2025 RevOps 10 min Salesforce reporting tools are vital assets for businesses that want to go beyond just acquiring leads and closing deals. These comprehensive solutions are a game-changer for sales leaders who want to ace their sales and customer relationship management. Salesforce reporting tools also enable data-driven decision-making, which is a must-have for a successful business. If you are looking for a reliable reporting tool for Salesforce, you are in the right spot. This article will explore the top seven options offering various features and salesforce reporting capabilities to address your reporting needs. So, let’s get started. What is a Salesforce Reporting Tool? Salesforce‘s reporting tool is a data reporting software that helps extract, organize, and analyze data from the Salesforce platform. The platform provides users with functionalities to transform raw data into meaningful insights. As a result, it helps businesses make informed decisions, track performance, and drive growth. Salesforce reporting tools offer varied capabilities to cater to diverse reporting needs. They empower users to create customized reports and dashboards, visualize data in various formats, and drill down into specific details for deeper analysis. These tools also integrate seamlessly with Salesforce’s data model, allowing users to leverage the full potential of their sales data without the need for complex coding or technical expertise. 8 Salesforce Reporting Tools for 2023 Let’s look at the top Salesforce reporting tools in 2023 you can consider for your business: 1. Tableau Tableau is a powerful Salesforce reporting tool that offers seamless integration within the Salesforce ecosystem. With its built-in reporting module, Tableau allows users to connect directly to Salesforce data and create interactive reports.  Tableau’s ability to embed visuals directly within the Salesforce application sets it apart, providing users with a cohesive experience. Moreover, data can be securely passed back and forth between Tableau and Salesforce, ensuring the confidentiality and integrity of your data throughout the reporting process. Key features: Full information availability Self-service analysis and visualization Data blending Knowledge and skill sharing 2.G-Connector G-Connector bridges the gap between Salesforce.com and Google Spreadsheet, enabling efficient data exchange between the two platforms. With G-Connector, users can effortlessly connect their Google Spreadsheet to Salesforce.com, allowing manual and automatic data synchronization.  The versatile tool offers multiple methods to create data snapshots in Google Sheets, ensuring flexibility and convenience. A standout feature of G-Connector is the ability to set up a shared Google spreadsheet, enabling the Sales team to enter and update sales data in one central location easily. Key features: Automatic data exchange Snapshots of Salesforce data Single shared Google spreadsheet Notifications for team members 3. Jotform Jotform is a supercharged online form builder that offers a number of subproducts and features, eliminating manual data entry and automating your workflow.  It makes generating Salesforce reports effortless by allowing users to collect data and create beautifully designed dashboards & dynamic reports – all automated and ready to go at any time. Jotform also offers a handy analytics tool so you can keep track of where you are with your projects easily. Key features: Dynamic reports and dashboards Analytics and visualization Integrations to automate other apps including Salesforce Building complex workflows with approval flows 4. Klipfolio Klipfolio offers a cloud platform app for building real-time business dashboards. Users can create highly customized dashboards with tailored metrics and data visualizations fueled by multiple data sources, including Salesforce.  The tool connects businesses to hundreds of data sources, ensuring comprehensive and up-to-date reporting. The beauty of Klipfolio lies in its flexibility and accessibility, as the dashboards can be monitored from anywhere, on any device. As a result, Klipfolio enables businesses to gain real-time insights and easily make data-driven decisions. Key features: Flexible data connection Highly customizable metrics and data visualization Data mashups Publish data to TV wallboards Pre-built content 5. Conga Composer Conga Composer is a robust Salesforce reporting tool that empowers businesses to create error-free, templated digital documents directly within Salesforce. The application automatically populates richly-formatted templates with data from Salesforce.  Businesses can effortlessly generate reports, proposals, contracts, and other important documents, saving time and ensuring accuracy. In addition, seamlessly merging Salesforce data into customized templates streamlines the reporting process. It enables businesses to create professional documents easily. Key features: Generate documents in multiple formats Store documents wherever possible Accurate, consistent, pixel-perfect documents 6. Smartsheet Smartsheet is a Salesforce reporting tool that aims to increase the productivity of sales teams. It also enhances visibility into sales operations while maintaining the established workflows. With Smartsheet, collaboration and sharing become effortless across both Salesforce and non-Salesforce users, eliminating the need for manual data exports to spreadsheets.  The tool streamlines the reporting process by enabling auto-synchronization between Salesforce and Smartsheet. It eliminates redundant steps and allows teams to manage their pipelines efficiently. Key features: Synchronize Salesforce data to Smartsheet to make bulk changes Set criteria for real-time alerts Real-time data with advanced sharing across teams Auto-synchronization between Salesforce and Smartsheet.   7. InsightSquared InsightSquared offers several advanced features to enhance your sales operations. With real-time updates, InsightSquared’s RevOps dashboards provide immediate access to critical data. As a result, you can stay on top of your business performance in real time.  The tool’s Activity Capture feature generates insightful reports on your team’s activities and seamlessly shares the data. In addition, automated activity tracking eliminates the need for manual updates, boosting your sales team’s productivity. Key features: Real-time updates of RevOps dashboards Activity Capture  Analytics and visualization Current Challenges in Salesforce Reporting Let’s explore some of the challenges in Salesforce reporting and how you can overcome them: 1. Data complexity and integration Sales data can originate from various channels, including CRM systems and marketing platforms. Integrating and consolidating this data into a cohesive reporting framework can be daunting. Organizations must invest in robust data integration solutions and ensure data quality and accuracy to overcome this challenge. 2. Manual and time-consuming processes Many businesses still need to rely on manual processes for sales reporting, which can be time-consuming and error-prone. Extracting data from multiple sources and creating

10 Best Deal Tracking Software for 2025 RevOps 10 min Imagine your sales team juggling multiple deals at once. They’ve got meetings, follow-ups, and deadlines to manage, and it feels like the weight of the world is on their shoulders. Sound familiar? Well, what if we told you there was a way to make your life easier? A way to streamline your sales process and close more deals? That’s where deal tracking software comes in. We’ve seen first-hand how deal-tracking software can transform a sales organization. That’s why we’ve compiled a list of the 10 best deal-tracking software for 2023. Each software solution will help you stay organized, focused, and efficient so you can focus on what you do best – selling. So, if you’re ready to take your sales game so the next level, keep reading. The possibilities are endless with the right deal tracking software at your fingertips. 10 Best Deal Tracking Software for 2024 1. Nektar 2. EngageBay 3. Kapture CX 4. Salesmate CRM 5. Pipedrive 6. Insightly 7. Nutshell 8. Salesflare 9. BigContacts 10. FreshSales What is a Deal Tracking Software? Deal tracking software is a tool that helps sales professionals manage their sales pipeline by keeping track of all their deals in one central location. Deal tracking software provides an overview of each deal’s status, from initial contact to final close, allowing salespeople to quickly and easily assess the state of their pipeline.  Let’s say you have dozens of deals in your pipeline, ranging from small accounts to large enterprise deals. A deal tracking software will allow you to see deals that: are in the negotiation phase need follow-up calls are on track for a close Think of deal tracking software as a solution that provides end-to-end visibility into your sales pipeline, allowing you to stay organized and focused on closing deals. Overview of 10 Best Deal Tracking Software for 2025 Now that you know everything about deal tracking, it’s time to look at the software solutions that can help you. Here’s our pick of the top 10 deal tracking software: 1. Nektar   Nektar is one of the best deal tracking software that helps businesses spot real opportunities sooner, progress deals faster, and ultimately drive revenue growth. One of the key benefits of Nektar is its ability to automatically analyze every buyer interaction, providing valuable insights and actionable intelligence to sales teams. Using advanced algorithms and machine learning, Nektar can identify upside and at-risk opportunities in real time, enabling sales teams to focus their efforts where they’re most needed. Nektar helps sales teams prioritize their time and resources, ensuring they’re always working on the most promising deals. Key features: Offers the buyer-seller activity as a key leading indicator to understanding the deal progression Allows time measurement at each stage to optimize sales cycles Identifies high-value opportunities that require more focus 2. EngageBay   EngageBay is an intuitive deal tracking software that helps businesses manage every individual lead in their sales pipeline tracking. The software enables businesses to streamline their lead flow, view important information about each lead, and close deals more efficiently. Businesses can filter and sort their leads based on different criteria, such as lead source, lead score, and lead status. It helps businesses prioritize their leads and focus on those most likely to convert into paying customers. The software also allows businesses to set up automated workflows that move leads through the pipeline based on their behavior and actions. Key features: Unified sales lead information Centralized client data Estimated revenue generation forecast 3. Kapture CX   Kapture CX offers an intuitive interface that makes it easy for businesses to keep a tab of their leads and prioritize them. The software helps businesses optimize their relationships with clients, boosting sales. The software allows businesses to set up custom hierarchies and view their sales performance data at different levels of the organization.  Businesses can identify trends and opportunities for improvement and track the progress of individual sales reps and teams. It also provides businesses with various tools to help them engage with their clients more effectively, such as effective personalization. Businesses can build stronger relationships with their clients and increase the chances of closing deals. Key features: Omni-channel support Integrated sales monitoring Easy API compatibility 4. Salesmate CRM   Salesmate CRM comes equipped with a sales activity tracker, which allows you to plan and stay on top of your sales pipeline. With Salesmate CRM, you can easily track your team’s activities and monitor their progress in real-time. This feature is particularly useful for sales managers who need to keep tabs on their team’s performance and identify areas for improvement. You can use the software to automate repetitive tasks, like sending follow-up emails or updating your CRM system. It will help free up your team’s time and allow them to focus on more important tasks like closing deals and generating revenue. Key features: Automates sales activities and playbook Sales timeline for easy tracking Smart calendar view 5. Pipedrive   Pipedrive is another excellent option that allows you to create the stages of your sales funnel. You can easily track your deals and stay organized throughout the sales process. With Pipedrive, you’ll receive automatic alerts and reminders to stay on track and ensure no deal falls through the cracks. These notifications are customizable and can be set up to suit your specific needs and preferences. Pipedrive also has advanced analytics capabilities that provide a range of useful metrics and reports, allowing you to identify opportunities to close more sales and improve your overall performance. The platform also incorporates AI technology to help you prioritize leads and identify which deals will likely close successfully. Key features: Visual sales pipeline Customizable pipeline Team collaboration 6. Insightly   Insightly helps businesses stay on top of their sales pipeline through its customizable dashboards. Users can break down the data they want to track in a way that makes sense for their business. Whether you’re interested in tracking deals by stage, salesperson, or product, Insightly can help you do it.

Everything You Need to Know About Revenue Forecasting RevOps 10 min As much as 80% of sales organizations miss the mark on revenue forecasting by 25% or more. That’s a particularly worrying number, primarily because of 3 reasons: Global volatility and economic downturn  Complex buyer journey and sales processes Added pressure on revenue leaders to deliver predictable growth  A revenue forecast serves as a guide to achieving realistic revenue goals to tide over unpredictability.  This exhaustive guide lays down everything you should know about revenue forecasts and how to do them right, including: – What is revenue forecasting? – Why is revenue forecasting important? – What are the key foundations of revenue forecasting? – Accurate Forecasting Using Revenue Forecasting Models If you’re short on time, here’s a quick summary of this blog: What is Revenue Forecasting? Revenue forecasting predicts how much revenue your business may earn for a certain period.  It uses historical data to make educated speculations about the potential revenue. Contrary to common assumptions, revenue forecasts aren’t based solely on quantitative data. They’re also enriched by qualitative data. To sum it up, revenue forecasting models answer the key business question: How does your current performance take you where you want to go? It’s not unheard of, even in SaaS circles, to confuse revenue and sales forecasting. But there are 3 key differences you must know if you want to build accurate forecasts. Why is Revenue Forecasting Important? A revenue forecast gives you, quite literally, the “foresight” to see what the future brings. Here’s how you can benefit from it: 1. Know expected revenue & budget  Revenue forecasts give you insight into how much money you can expect to generate from product sales. This, in turn, will give you the information to set up budgets for RevOps and other teams.  On the other hand, you can also track expenses for the period and optimize your cash flow. 2. Strategize growth You can strategize with key stakeholders by figuring out your expected revenue and budget. These meetings throw light on what actions you can undertake to increase earnings.  Two-thirds of businesses consider revenue process optimization important to achieving customer retention goals. Whereas 63% think revenue strategy is important for adapting to new market expansion. Revenue forecast provides the basis of growth strategy showing you: How quickly can you scale What will be your future expansion in terms of earnings, expenses, and markets How can you set and adjust revenue goals to bridge gaps between predictions and real-world performance 3. Set appropriate long-term goals Other than business goals, you can use revenue forecasts to set other long-term goals for marketing campaigns, software purchases, and resource allocation.  For instance, they can be used to decide how much staff you will need in RevOps teams and how many resources you must hire corresponding to each function.  4. Make informed decisions  Revenue forecasts ensure you’re not caught off guard in unpredictable times and can make data-backed decisions with accurate analyses.  For example, while preparing a forecast, you may find that sales for June-July 2022 were lower than the rest of the year.  The first thought would be to attribute this to seasonal demand.  But if you know how to forecast revenue, you dig deeper into the data. Then, you find the underlying reason–your sales head left the company during this time.  You can decide not to base next year’s forecast on the same numbers in June-July 2022.  5. Helps secure funding Revenue forecasting is responsible for your organization’s general profitability.  To secure funding, you can make serious financial projections (including the profit & loss statement and cash expectations). Investors look at these numbers and decide whether to invest in your business. Now that the benefits are on the table, you can understand more about what is revenue forecasting and how to create one. To begin, we look at its key foundations.  Key Foundations of Revenue Forecasting To understand further why revenue forecasting is important, you must take great care in maintaining these 3 foundations: 1. Revenue goal Revenue goals are realistic financial targets that improve business growth. These targets or goals must be based on actual market data, not gut data. 2. Revenue pipeline Your revenue pipeline includes active, upcoming, and prospective deals. It acts as a map to show where prospects and existing customers are placed in your sales funnel. The pipeline is where your leads turn into customers and is, therefore, the primary revenue source. 3. Product delivery  You must track and manage the delivery of your product or solution. This includes monitoring: How much of each contract is earned How much of it is due in the future It also covers the management of customer payments and lowering customer churn due to poor delivery. How to Forecast Revenue Using Models Businesses primarily use 4 revenue forecasting models. We’ve discussed each one below. 1. Straight Line Revenue Forecast The simplest of all models, straight line revenue forecast, uses historical data to project revenue growth for a specific period.  It typically assumes that the previous year’s growth rate will remain the same for the next.  The method first determines the revenue growth rate and then calculates forecasted revenue. The formula is:  Current Revenue (1 + Growth Rate / 100) = Revenue Forecast Let’s break this down with an example.  If you’re experiencing a revenue growth rate of 30% in 2022 with current revenue at $100,000, your forecasted revenue for 2023 will be: 100,000 (1 + 30 / 100) = $130,000 Given its simplicity, the straight line model works best for startups or companies preparing their first revenue forecast. A few major drawbacks of this method are that: It assumes the growth rate will remain constant It doesn’t factor in macroeconomic changes  2. Weighted Moving Average Revenue Forecast The model considers moving averages of historical data to create a forecast. Most commonly, businesses use 3 and 5-month forecasts. But feel free to explore, experiment and use this for as short as 1 month, too.  You must add weights to each average to build a more accurate revenue forecasting model.  For example, the revenue for Q1

5 Effective CRM Data Management Strategies CRM 10 min Having the best CRM data management strategies in your arsenal can help you prevent several revenue leakages in your business. Data interactions went up by a whopping 5000% between 2010 and 2020. With this amount of data to handle and manage, businesses need a plan of action. This is where CRM data management comes into play.  In this article, we will reveal tried-and-tested CRM data management strategies that will transform your CRM into a real growth engine.  Let’s get started.  What is CRM Data Management? CRM data management refers to the process of effectively collecting, organizing, storing, and maintaining customer-related information within a CRM. It involves managing the vast amounts of data generated from customer interactions, purchases, inquiries, support requests, and more. These perfectly organized datasets are then used by almost all the departments of your business including sales, marketing, customer service, and RevOps. In simpler terms, CRM data management is like maintaining a well-organized library of customer information. Just as a librarian categorizes and arranges books for easy access, CRM data management involves structuring customer data to make it easily searchable and retrievable for businesses. Hold on, there’s more to it! CRM data management can bring immense benefits to your business which we will discuss now.  Why Do you Need CRM Data Management? With a gazillion amount of data lying inside your CRM arises a need to manage it effectively so that you can begin harnessing its power. Here’s how organized and clean data make an impact on your business.  1. Higher conversion rates When your data is organized, you can quickly identify leads that show genuine interest in your products or services. With a clear picture of your prospects, you can customize your sales pitch and marketing efforts to address their specific needs and pain points. You will also be in a position to aptly score your leads.  This targeted approach increases the chances of converting potential leads into happy customers. The increase in conversion rate can go up to a gigantic 300%. 2. Access to customer insights  44% of customers ignore unprepared sales pitches. Clean data allows you to analyze customer behavior, preferences, and buying patterns more effectively. You can identify trends, popular products, and areas for improvement.  Armed with these insights, you can create personalized customer campaigns, pitches, and offers that resonate with your audience, fostering stronger customer loyalty and repeat business. 3. Higher levels of efficiency  A well-organized CRM database ensures your team can access the right information at the right time. It eliminates the frustration of searching for data in different places, streamlining workflows and decision-making processes. In fact, this data accessibility can shorten the sales cycle on average by 8-14%. The efficiency boost enables your team to focus on core tasks, betters collaboration and accelerates overall team productivity.  4. Compliance and governance Keeping your data clean and up-to-date is essential for maintaining compliance with data protection regulations and industry standards.  By ensuring data accuracy and security, you build trust with your customers, reassuring them that their information is handled responsibly. This trust can positively influence the image of your brand and customer relationships. No wonder, 84% of consumers are more loyal to companies that have strong data security controls. 5. Accurate sales forecasts  Accurate and organized data helps in making reliable sales forecasts. By analyzing historical sales data and customer trends, you can predict future sales performance more precisely. This helps you to set realistic targets for your teams, allocate resources mindfully, and make informed business decisions to optimize revenue growth. 6. Targeted campaigns Sales and advertising departments lose about 550 hours in a year due to insufficient data. When your data is clean and organized, you can segment your audience more effectively. This audience segmentation allows you to create highly targeted ad campaigns that resonate with specific customer groups.  As a result, you can optimize your advertising budget and achieve higher conversion rates with ads that reach the right people at the right time. Now that we understand the benefits of clean data for business operations, it’s time to shift our focus to the next step: exploring effective strategies for managing it. 5 Effective CRM Data Management Strategies 85% of sellers admit having made likely embarrassing mistakes due to incorrect CRM data. Are your reps also making these mistakes?  Well, chances are high.  But the good news is that we have reached that part of the blog where we will reveal the most effective CRM data management strategies that will not only prevent your reps from committing these mistakes but also take your CRM’s ROI to the next level.  Let’s dive in. 1. Standardize data collection  Imagine if everyone in your team used different formats for storing data – what a real mess it’d be. Standardizing data collection means setting s standard policy i.e. clear rules and formats for entering information.  When everyone follows the same guidelines, the data becomes consistent, making it easier to work with and understand. Plus, it reduces errors and confusion, ensuring you get accurate insights from your data. For example, use standardized date formats, consistent naming conventions, contact details, and uniform categories for data entry. Also, make sure only specific people are allowed to enter data in your CRM and not all the employees so that you know who is accountable for which entry.  2. Regularly cleanse and update your data Regular reviewing and cleansing of data is important to ensure only the relevant data remains in your CRM. The aim is to keep your database neat and tidy, so you can find what you need without any hassle at the right time. Here’s what you can do. Set a schedule to review your data periodically, say every quarter as stated by Jacky Leiha, CRM expert in one of our podcasts. Look for duplicate entries and merge them, fix any inaccuracies, and delete outdated or irrelevant information. Also, create monthly exception reports. This data cleanup process keeps your database accurate, relevant, and up-to-date. 3. Integrate data from other platforms Picture your business as a puzzle with many pieces.

The 5 Biggest Mistakes to Avoid in Your Sales Playbook Getting a sales playbook right is one of the first steps to building a strong sales machine. Don’t make these 5 mistakes while building one. B2B Sales Sales Sales Leadership Sales Playbook Founders, make notes. We are here to share the biggest mistakes that are made while devising a sales playbook. A sales playbook is the holy grail that gives an end-to-end view of your sales process – from hiring and onboarding your sales team, executing your sales motion to scaling it. Your rockstar performers already have a lot of ground knowledge. Be it what questions to ask prospects at different stages or what material should be sent out to a prospect from a particular industry, they have developed the know-how to such crucial questions through their experience. A playbook lays down the set of best practises from A players – all those Eureka moments that helped close tough deals in the beginning are all documented and shared with the new reps. If new reps have access to all these do’s and don’ts from Day 1, they will be more productive and close that first deal sooner.  https://youtu.be/_TomEFmIslU?si=v1MWrd-BHyxJJjIZ These learnings and strategies are the heart and soul of a playbook, and can act as a friendly mentor to any new rep joining your team as they navigate the sales process. Whether you already have a sales playbook or are in the process of devising one, we are here to share some of the biggest mistakes that make sales playbooks fail. 1. Not documenting your learnings Founders have a lot of learning in the initial days through interactions with customers, researching about the market or building the product. The playbook should include this knowledge of what has worked for the company. You won’t be able to do this overnight. But you need to start articulating it as you start seeing success in the following areas: You have a product that is solving a particular pain point  Your product delights a particular buyer persona in a certain way Once you have achieved these two things, you need to start documenting your sales process. Answer some specific questions such as: How do you go about doing a solution discussion with your prospect? How do you convince the prospect of the value your product adds to their lives? How do you sell to the prospect? How do you onboard the prospect? How do you implement the product? How do you create a customer support journey post sale? List down what’s working and what’s not in every step of the sales process. For example, if during a discovery call, one of your A player figures out a particular pattern that has been aiding the move to the next step, it must make an entry into the playbook. The learnings in the journey of your sales process are unique to your organisation and the knowledge needs to trickle down to everyone else in your company. For that to happen, define your unique sales process very clearly in your playbook. Most companies fail to map out their unique sales processes, which leads to missing out on deals, or failing to follow a standardized routine for interested prospects.  Without this documentation, the best practises are never known to everyone, and keep floating like tribal knowledge between the rockstars and is never leveraged by the new reps. 2. Too many floating versions Onto the second mistake – if companies do manage to build a playbook defining the best practises, there are different versions of it that keep floating around.  There is no centralised process that takes care of standardising the playbook and making it universal for everyone to follow.  Too many versions can create confusion and make different teams approach the product and customers in a different manner, creating a non-uniform experience for your prospects. To make sure your playbook has one single version, you will have to invest in a dedicated sales enablement function that can act as a custodian of that playbook.  This team can act as that central force that not only creates the playbook, but also maintains one singular version of it so that everyone is on the same page. 3. Not evolving the sales playbook Playbooks are dynamic by nature. Just like your product matures, your GTM insights develop and the competitive landscape changes, playbooks also need to evolve along with them. But most organisations fail to evolve them.   https://youtu.be/thpLYTzbe7M?si=8b6BvRgDjSsPGevw Your playbook should be tailored according to the kind of deals that you are trying to close. For example, if you are going upstream from an SMB to an Enterprise model, the playbook has to change accordingly. The same strategies that helped you close deals for SMBs will not work for an enterprise model. It’s important to evolve your playbook as your company, product and the market goes through different stages. This is the way to keep up with the competitive landscape and be ready to face turbulent times with a guide. The way to do this is to have your playbooks be centrally managed by your enablement function, who can keep updating it as the company graduates from one stage to another. 4. Lack of peer to peer collaboration Your sales reps are on the field, talking directly to customers, understanding the competition and dealing with the market. The kind of intel they develop as a customer facing function should not be limited to just them. It needs to be shared with the entire organisation. For example, the kind of documents or emails that A players are sending to prospects or the kind of questions they are asking in the calls – all of this should be documented and circulated among the new hires.  Mature reps in the organization must actively participate in building and continuously contributing to your playbooks. This can be done by passing on the intel of your A players to a central team that can develop the playbook

5 CRM Data Challenges that Impact Sales Productivity Sales productivity taking a hit? Missing and faulty CRM data could be to blame. Read this blog to learn more CRM RevOps The ongoing economic uncertainty has slowed down funding to a large extent, prompting revenue leaders to look at business success differently. Cutting down the focus on growth at all costs, they’re now pursuing “productivity at all costs.” So, where should you double down as a revenue leader to boost rep productivity?  CRM, the central hub of all sales activity, is the best place to start. CRMs act as data centers for sellers, and those with high-quality data can support highly efficient sales teams.  But CRM data leakage (faulty, poor, incomplete, and unreliable data) can disrupt RevOps, resulting in a significant dip in productivity.  Missing or Inaccurate Data Bears Risks As much as 79% of the opportunity data collected by reps never steps foot into the CRM.  Even worse, reps may capture dirty data (inaccurate, non-compliant, or outdated) when they enter contact information in the CRM. On the other hand, quality data remains stuck in sales tools, inboxes, calendars, meeting notes, and supporting platforms.  It’s a rising problem as 91% of CRM data is incomplete, stale, or duplicated each year. Adding to the challenge, 70% of this data decays annually.   Source Business decisions made on insights and analysis gathered from bad data cause more harm than any other errors. Following the concept of “garbage in, garbage out,” poor quality intelligence leads to poor quality decision-making.  This shortcoming ultimately hampers marketing and sales campaigns. Mainly when there’s no layer of intelligence to enrich sales data, sales reps have difficulty closing deals involving multiple stakeholders in the buying committee.  Reps could destabilize multithreading by not having enough accurate information on each participant.  For instance, the IT leader may be more interested in understanding the functional and underlying take makeup of your solution. But reps don’t have enough data to arrive at this insight. Instead, they send a generic document to all stakeholders with extensive marketing and financial information, which may be less relevant to the IT team. The result – a flawed customer experience.  Let’s see how CRM data leakage affects sales productivity and what you can do to solve the problem.  5 Key CRM Data Challenges Responsible for a Dip in Sales Productivity While there could be multiple reasons for a dip in sales productivity, we’ll look at five significant problems of CRM data leakage that slow down productivity.  1. Incomplete insights on leading indicators 52% of sales leaders report that their CRM costs potential revenue opportunities because the system doesn’t effectively meet their needs.  To fuel predictable revenue and motivate reps, you need to know everything happening in your business in real time.  Relying on lagging indicators doesn’t help productivity. They’re geared toward past performance and don’t provide information on ongoing deals, such as  What opportunities are stuck? Which reps aren’t hitting their quota attainment and why? What are the key channels to communicate with a particular buyer? Reps need insights into leading indicators (predictive measures of future performance) to close deals successfully and repeat winning tactics. These indicators clearly show buyer-seller activity and where deals are headed.  Some critical leading indicators are Buyer vs. sales stage Number of sales activities per sales stage Number of multithread deals Multithreading score Productivity score  CRM data leakage blocks actionable intelligence on leading indicators. So, reps don’t know what to make of their CRM data.  Ultimately, this makes effective selling a challenge.  Reps have to look at multiple data points spread across several platforms for critical pieces of information on a prospect. It leaves them clueless about the buyer’s selling stage and affects deal prioritization.  CRM data leakage also inhibits you from using a combination of lagging and leading indicators to close deals better.  Consider this. Leading indicators allow you to see what new opportunities are created and how many first meetings are done in a given period.  From there, you can drill down to see what activities reps undertake to win more deals and how this impacts your pipeline using sales metrics (lagging indicators). Or, if something isn’t right, you can figure out what needs to be done to resolve the problem.  None of this is possible without high-quality leading indicators, adversely impacting reps’ selling abilities and productivity.    2. CRM Data Capture Remains Largely Manual For 76% of companies, poor adoption of sales tools is a primary reason they miss sales quota attainment.  Moreover, organizations have wasted a considerable amount on sales tools that weren’t fully adopted by reps – an average of $313,000, to be precise.  One of the top causes for reps to dislike CRM is manual entry. And it’s clear why, as reps continue to tackle evolving selling processes to attract the evolved buyer.  On any given day, reps have to get through a series of simultaneous tasks to win deals, like Researching prospects, their business size, location, target audience, and more.  Hosting discovery calls with interested leads.  Cold calling and emailing new prospects to refresh the sales pipeline  Nurturing stakeholder relationships within a buyer group to push deals through the sales funnel faster Handling internal reviews with peers and managers, exchanging feedback and new selling ideas  Amongst it all, entering data manually into the CRM after each buyer interaction feels extremely tedious and unnecessary. Not to mention time-consuming, too.  When faced with the massive responsibility of entering contact data, reps spend more time on administrative activities than prospecting and selling (i.e., their core responsibilities). The consequences are disastrous, as non-selling activities add up to one full day of work every week for reps! Sales Reinvented Podcast  Reps subsequently prefer putting more time into building buyer engagement. And if they can’t accomplish this feat, they experience a “drag” on productivity.  Unmotivated sellers are a wound in the side for sales quota attainment and winning deals. This pushes them to explore other opportunities outside the organization, carving a dent in your bottom line.  3. CRM Acts as a System of Record as Opposed to a System of Actionable Insight

Nektar.ai v/s Clari v/s Gong v/s People.ai v/s EAC Are you Looking for an in-depth comparison between Nektar.ai vs Clari vs Gong vs People.ai vs EAC Product In today’s business world, where data is the currency of success, the significance of automated data capture cannot be overstated. In the pursuit of efficient revenue operations and intelligence, organizations are turning to AI and automation platforms that streamline data collection and analysis. This blog embarks on a comparative journey, shining a spotlight on five trailblazing platforms – Nektar.ai, Clari, People.ai, Gong, and Einstein Activity Capture – all united by a shared focus on automated data capture. Each platform boasts the promise of automating data capture, harnessing artificial intelligence, and delivering actionable insights to supercharge revenue operations. We will delve into their core functionalities, unique strengths, and how they empower businesses to revolutionize their sales strategies. Whether you are looking to refine your sales forecasting, enhance opportunity management, or gain deeper pipeline visibility, this comprehensive analysis will guide you in selecting the ideal revenue operations and intelligence solution tailored to your organization’s needs. Let’s dive in and uncover the transformative potential that lies within these cutting-edge platforms! Nektar Nektar.ai was founded in 2020 with a vision to enable GTM teams to take control of revenue leaks with a purpose-built AI data foundation that unifies accurate, clean, timely revenue data, automatically at scale. Claim to Fame Nektar is popular for its AI-powered automated data capture capabilities that sync contacts, emails, and calendar meetings from sales communication to Salesforce. This is done for ongoing activities as well as historical GTM activities. It supports all customer-facing teams – from business development and sales to customer success and account management. For this reason, revenue operations and revenue leaders choose Nektar to gain a 360º view of their customers. Pros: Captures historical and ongoing contacts and GTM activities to deliver pristine CRM data Presents the buying committee in every deal by enriching contacts with job titles and the corresponding buyer role (influencer, decision maker, economic buyer, etc) Automatically links captured contacts to relevant open opportunities as OCRs Automatically classifies activities as per the sales or CS process to provide insights on the types of activities sellers/CSMs are spending their time on Captures calendar events, including recurring events and updates made to the event (participants or schedule) Always on reporting where ‘Actionable’ insights are delivered on Slack, email, or MS Teams – the power of a dashboard without the dashboard Continuously maintains the CRM data by updating and correcting the captured data Works for every customer-facing team, not just sales Supports data capture for partnership/channel/alliance teams as well Cons: Best suited for companies with 10+ sellers. Clari Founded in 2012, Clari emerged with the mission to revolutionize sales operations through AI-driven insights and predictive analytics. Since its inception, Clari has been dedicated to helping sales teams optimize performance and revenue growth with its innovative technology. Clari’s platform is built for frontline teams as well as sales leadership teams. Today, it boasts several capabilities that include automated data capture, opportunity management, mutual action plans, conversation intelligence, and forecasting. Claim to Fame While Clari offers an extensive platform for sales analytics, it is appreciated by sellers and leaders specifically for its forecasting capabilities. As such it is popular among sales teams more than any other revenue-facing team. Pros: Clean visuals and UI Customizable dashboards ‘Funnel view’ of the pipeline Visibility into current & projected pipeline Introduced conversation intelligence recently (easier to consolidate tools) Cons: Several contacts are not captured on Salesforce Syncing activities into Opportunities on Salesforce is not always accurate Salesforce sync has issues User adoption is a potential risk, and requires constant enablement PeopleAI People.ai was founded in 2016 to transform sales and marketing operations through AI-driven automation and data analysis. People.ai‘s platform focuses on capturing and analyzing sales activities to provide valuable insights and enhance sales effectiveness. Since its establishment, People.ai has claimed to be utilizing artificial intelligence to streamline sales processes and improve revenue outcomes. Claim to Fame People.ai started to become popular for its account planning and management capabilities with a focus on enabling sellers on corresponding playbooks. Given this, it is popular among sales teams, with considerable interest from marketing teams, specifically in companies that pursue ABM, since it also captures contacts better than the other heavyweights in this category. Pros: Monitor the adoption of sales playbooks and their compliance Capture contacts, emails, and meetings in linear sales communications Provides good insights into buying committee members Easy-to-use interface for sellers to update a CRM Cons: Data capture is not as extensive or accurate Engagement insights not as granular Not flexible, requires support for customization Insights are not as extensive as other vendors Data privacy is not as strong, given its operating model UI is not very friendly, requires continuous training/enablement Support can be slow Gong Founded in 2015, Gong is a pioneer in conversation analytics for sales teams, utilizing AI to analyze customer interactions, meetings, and calls. Gong.io‘s platform provides valuable insights into (verbal) sales conversations, helping teams refine their strategies and manage sales meetings better. With a focus on improving sales performance, Gong has become a prominent player in the field of AI-driven sales analytics since its inception. Claim to Fame Gong became popularly known for helping sales leaders coach their teams on handling sales meetings better through its conversation intelligence capabilities. It’s accuracy and depth of insights in conversations are best-in-class. And so, while it started out as a tool for sales teams, it has since become popular among customer success and prospecting (SDR/BDR) teams as well. Pros: Ability to ramp new sellers faster and coach reps better Good for all customer-facing teams given its focus on conversation intelligence Provides alerts when specific keywords get mentioned in sales calls Extensive integrations available along with deep insights in conversation-based engagement Cons: Only conversation intelligence is widely used which casts doubt on ‘value for money’ Data captured on Salesforce gets removed when Gong is pulled out Data enrichment requires building Salesforce Flows and is not done by