BoostUp.ai

𝗧𝗵𝗿𝗲𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗲𝘃𝗲𝗿𝘆 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗹𝗲𝗮𝗱𝗲𝗿 𝘀𝗵𝗼𝘂𝗹𝗱 𝘁𝗿𝗮𝗰𝗸. 🧭 Evan Randall, SVP of Worldwide GTM Strategy and Ops at Teradata, relies on three key metrics to measure the health of his GTM organization: 1️⃣ 𝗔𝗥𝗥 𝗛𝗲𝗮𝗹𝘁𝗵 2️⃣ 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗛𝗲𝗮𝗹𝘁𝗵 (Pipeline Generation + Pipeline Age) 3️⃣ 𝗚𝗧𝗠 𝗛𝗲𝗮𝗹𝘁𝗵 These metrics don’t just measure success—they guide action. Using them, Evan makes strategic decisions: ✔️ Where to invest more (or less) to maintain revenue stream health. ✔️ Whether pipeline coverage is sufficient—or needs revitalization. ✔️ Adjustments to hiring plans or onboarding priorities to stay ahead of GTM goals. Watch Evan’s Mavericks Podcast episode to learn more—link in the comments.

MongoDB 🤝 𝗕𝗼𝗼𝘀𝘁𝗨𝗽 = Consumption-based revenue forecasting done right. ✅ Switching to a consumption-based model is a bold move as it comes with specific challenges. This is exactly what the team at MongoDB was facing: • Inability to drill down into their complex consumption hierarchy • Over 120 custom fields creating a bloated Salesforce instance • Trouble attributing incremental usage to sales reps’ efforts Here's how we helped MongoDB turn these challenges into actionable insights: 🌟 𝗠𝘂𝗹𝘁𝗶-𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴: Configurable rollup hierarchies for every sales segment—growth, acquisition, and CS—offering unmatched visibility into workload run rates. 🔎 𝗦𝗶𝗻𝗴𝗹𝗲 𝗣𝗮𝗻𝗲 𝗼𝗳 𝗚𝗹𝗮𝘀𝘀: Unified, real-time views combining users, accounts, opportunities, and workloads. Goodbye, Salesforce field overload. ⚡ 𝗦𝗽𝗲𝗲𝗱 𝘁𝗼 𝗩𝗮𝗹𝘂𝗲: 95% implementation completed in just 3 months with our self-serve capabilities. Santosh Gowda, Sr. Director of CRM Tech at MongoDB, called it one of his most satisfying projects. His words? “𝘞𝘦’𝘷𝘦 𝘧𝘶𝘯𝘥𝘢𝘮𝘦𝘯𝘵𝘢𝘭𝘭𝘺 𝘴𝘰𝘭𝘷𝘦𝘥 𝘱𝘳𝘪𝘮𝘢𝘳𝘺 𝘴𝘢𝘭𝘦𝘴 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦𝘴 𝘢𝘯𝘥 𝘥𝘦𝘭𝘪𝘷𝘦𝘳𝘦𝘥 𝘢 𝘴𝘪𝘯𝘨𝘭𝘦-𝘱𝘢𝘯𝘦, 𝘯𝘦𝘴𝘵𝘦𝘥 𝘷𝘪𝘦𝘸 𝘵𝘩𝘢𝘵 𝘤𝘰𝘮𝘣𝘪𝘯𝘦𝘴 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘪𝘦𝘴 𝘢𝘯𝘥 𝘸𝘰𝘳𝘬𝘭𝘰𝘢𝘥𝘴.” Right back at you, Santosh. We are glad to have worked with you and the entire MongoDB team to set up your consumption-based forecasting. 🤝 Read the full case study to get the details—link in the comments.

Is there a deal review 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗱𝗲𝗮𝗹 𝘀𝘂𝗰𝗰𝗲𝘀𝘀? Daren Reschke, SVP of Sales at Entrata, swears by one deal review question: “𝙒𝙝𝙖𝙩’𝙨 𝙩𝙝𝙚 𝙤𝙣𝙚 𝙘𝙧𝙞𝙩𝙞𝙘𝙖𝙡 𝙩𝙝𝙞𝙣𝙜 𝙩𝙝𝙖𝙩 𝙞𝙛 𝙬𝙚 𝙙𝙤, 𝙬𝙞𝙡𝙡 𝙢𝙖𝙠𝙚 𝙩𝙝𝙚 𝙥𝙧𝙤𝙨𝙥𝙚𝙘𝙩 𝙬𝙤𝙧𝙠 𝙬𝙞𝙩𝙝 𝙪𝙨 𝙖𝙣𝙙 𝙢𝙤𝙫𝙚 𝙨𝙤𝙛𝙩𝙬𝙖𝙧𝙚?” No clear answer? The deal’s probably going nowhere and needs intervention. Clear answer? You’ve got a path to close—and a forecast you can count on. In our latest Mavericks episode, Daren also revealed other strategies behind achieving 6x sales growth in 3 years in complex B2B selling environments: ✅ The first moves he makes with any new sales team ✅ The benchmarks he tracks to find bottlenecks fast ✅ The key to building an all-star sales org Catch the full episode now—link in the comments.

RevOps pros in larger companies 𝗲𝗮𝗿𝗻 𝟲𝟱% 𝗺𝗼𝗿𝗲 than their counterparts in smaller companies. 💰💰💰 That’s right—while RevOps professionals in smaller companies have a median OTE of $100k, those working in larger companies earn $165k. But that’s just one of the insights from the 𝗥𝗲𝘃𝗢𝗽𝘀 𝗖𝗼𝗺𝗽 & 𝗜𝗺𝗽𝗮𝗰𝘁 𝗦𝘁𝘂𝗱𝘆 𝟮𝟬𝟮𝟱, where we surveyed more than 1000+ RevOps pros about compensation and workload impact. We compiled the compensation insights form the study in a blog post which answers the most pressing questions you may have about your salary: • How does company size affect total OTE? • Does seniority guarantee a bigger paycheck? • Are performance-based incentives becoming the norm for RevOps pros? • How does working remotely affect your salary? Read the full blog now. Link in the comments.

How can one build a truly customer-centric sales process in the age of complex B2B selling with multiple handoffs? James Kaikis has the answer - revenue teams should be sharing responsibilities across the entire customer journey: * Account executives stay involved post-sale to ensure customer outcomes. * Specialized teams deliver tailored solutions based on customer needs. * Customer Success becomes a company-wide initiative so everyone is aligned with customer goals. Read the full blog to learn how you can build a strategy with the customer at its center. Link in the comments.👇

“BoostUp is our easy button for usage-based forecasting.”- says Hacer Demiroers, Vice President of Sales Operations at MongoDB. Why? “There’s uncertainty in usage-based revenue models, which makes forecasting difficult. But with tracking and visualizations, to how we can now rollup and project revenue, BoostUp has simplified it and made us more accurate.”- she explained. This was one of the reasons why MongoDB chose BoostUp to run their consumption-based forecasting. MongoDB had three main challenges when they switched to a consumption-based salesforce for their cloud database business: 🎯 They were not able to drill down into each layer of their complex consumption hierarchy, including the workload level. 🤖 They had high technical debt as their Salesforce instance was overloaded with over 120 new fields. 💵 They could not attribute incremental usage effectively to the effort of sales reps. Here’s what we gave them that turned their challenges into insights: 🌟 𝗠𝘂𝗹𝘁𝗶-𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 (𝗠𝗗𝗙): MongoDB can now roll up revenue any way they want - with different hierarchies configured for each sales segment - growth, acquisition and CS. 📊 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗩𝗶𝗲𝘄: We brought different data sets from various sources - connecting user, account, opportunity, and workload data into a single view, with real-time updates. No more managing 120 custom fields!  ⚡ 𝗦𝗽𝗲𝗲𝗱 𝘁𝗼 𝗩𝗮𝗹𝘂𝗲: 95% of the implementation wrapped up in just 3 months, thanks to BoostUp’s self-serve capabilities. Read the full case study to learn more about what we did. Link in the comments.

𝗕𝟮𝗕 𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝗶𝘀 𝘃𝗲𝗿𝘆 𝘀𝗶𝗺𝗶𝗹𝗮𝗿 𝘁𝗼 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝘀𝗽𝗼𝗿𝘁𝘀. Consistent training wins championships. 🏆 Daren Reschke, SVP of Sales at Entrata, knows this firsthand. His disciplined approach to training helped his team achieve 𝟲𝘅 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗴𝗿𝗼𝘄𝘁𝗵 𝗶𝗻 𝟯 𝘆𝗲𝗮𝗿𝘀. His sales org trains together three days a week, focusing on different aspects of sales: 1️⃣ Product knowledge 2️⃣ Salesmanship 3️⃣ Industry & competition In our latest 𝘔𝘢𝘷𝘦𝘳𝘪𝘤𝘬𝘴 episode, Daren shared more of his tactics for driving sales success: • 𝗛𝗶𝘀 𝗳𝗶𝗿𝘀𝘁 𝗺𝗼𝘃𝗲𝘀 when joining a new sales team • 𝗞𝗲𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗮𝘀𝗸 to make deal reviews more effective  • 𝗧𝗵𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗮𝗻𝗱 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀 he uses to measure success and uncover bottlenecks • How to identify the different 𝘳𝘦𝘱 𝘵𝘺𝘱𝘦𝘴 and 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻 𝗮𝗹𝗹-𝘀𝘁𝗮𝗿 𝘁𝗲𝗮𝗺 If you’re in B2B sales, this episode is your 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝗳𝗼𝗿 𝘀𝘂𝗰𝗰𝗲𝗲𝗱𝗶𝗻𝗴 𝗶𝗻 𝗹𝗼𝗻𝗴, 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗱𝗲𝗮𝗹𝘀. 🎥 Catch the full episode now! Link in comments.

From spreadsheet struggles every Sunday to real-time clarity every day - this is how we helped Vercel transform their 𝗿𝗲𝗻𝗲𝘄𝗮𝗹𝘀 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴.👇 Vercel was using two-way VLookups and collating data from three different teams—sales, renewals and CS into multiple spreadsheets on Sundays, as they prepped for the weekly forecasting cadence. This was inefficient and could get frustrating. We brought three distinct opportunity types—renewals, expansions and anniversaries, from the three teams into one single pane of glass. We also pulled in third party data like NPS scores and license utilization. On top of all this, we offered them custom forecast rollups with activity data and AI-based forecast predictions. 𝗪𝗵𝗮𝘁 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗳𝗼𝗿 𝗩𝗲𝗿𝗰𝗲𝗹? ✔ No more managing multiple spreadsheets—all relevant data in one place, updated in real-time.  ✔ The power to go from a high-level quarterly view to account-level actions in seconds. ✔ Less than 1% error in CS forecasting accuracy. Now their Sundays are as they should be—stress-free. 🧘 Paul Staelin, CCO at Vercel, put it best—”𝘏𝘢𝘷𝘪𝘯𝘨 𝘢 𝘴𝘪𝘯𝘨𝘭𝘦 𝘱𝘢𝘯𝘦 𝘰𝘧 𝘨𝘭𝘢𝘴𝘴 𝘩𝘢𝘴 𝘣𝘦𝘦𝘯 𝘱𝘩𝘦𝘯𝘰𝘮𝘦𝘯𝘢𝘭.” Read the full case study to learn more. 𝗛𝗼𝘄 𝗩𝗲𝗿𝗰𝗲𝗹 𝗦𝘂𝗿𝗽𝗮𝘀𝘀𝗲𝗱 𝟭𝟬𝟱% 𝗡𝗲𝘁 𝗗𝗼𝗹𝗹𝗮𝗿 𝗥𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗕𝗼𝗼𝘀𝘁𝗨𝗽 🔗 https://lnkd.in/gxD-WRhN

𝗪𝗵𝘆 𝗱𝗶𝗱 MongoDB 𝗰𝗵𝗼𝗼𝘀𝗲 𝗕𝗼𝗼𝘀𝘁𝗨𝗽 𝘁𝗼 𝗿𝘂𝗻 𝘁𝗵𝗲𝗶𝗿 𝗰𝗼𝗻𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻-𝗯𝗮𝘀𝗲𝗱 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴? When forecasting gets complex, like in consumption-based revenue models, you need a solution that captures usage and is built for scale and flexibility. In FY24, MongoDB transitioned to a consumption-based salesforce for MongoDB Atlas, their cloud database platform, which uses consumption-based pricing. This shift introduced variability and uncertainty into revenue projections, making accurate forecasting a major challenge. Their system was overwhelmed with custom fields which caused inefficiencies. Here’s how BoostUp turned it around: 💰 𝗠𝘂𝗹𝘁𝗶-𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝗮𝗹 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 (𝗠𝗗𝗙): MongoDB can now roll up revenue any way they want and drill down into their complex hierarchy with ease. 📊 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗩𝗶𝗲𝘄: MDF connects user, account, opportunity, and workload info into one actionable dashboard. ⚡ 𝗦𝗽𝗲𝗲𝗱 𝘁𝗼 𝗩𝗮𝗹𝘂𝗲: 95% of the implementation wrapped up in just 3 months, thanks to BoostUp’s self-serve capabilities. 💬 Meghan Gill, their SVP of Sales Operations, puts it best: “Our forecasting process is complex. We need to blend actual usage data with future consumption projections from over a thousand sellers globally. BoostUp is the only solution that delivers the flexibility and performance we need to roll up forecasts quickly and accurately. It’s critical to our RevOps infrastructure.” Dive into the full case study here. 👇 🔗 https://lnkd.in/dFcdManV 

RevOps Pros have spoken - 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗷𝘂𝘀𝘁 𝗰𝗹𝗼𝘀𝗲𝗱-𝘄𝗼𝗻 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗶𝘀 𝗡𝗢𝗧 𝗲𝗻𝗼𝘂𝗴𝗵. We teamed up with RevOps Co-op to survey 1,000+ RevOps professionals about compensation, workload, and business impact trends. Here’s what they’ve made clear: RevOps is evolving fast, owing to new business models and their needs. 🚀 90% of teams need to forecast renewals and expansions also—because NDR matters just as much as new deals. 📊 At least 30% need to forecast metrics like product usage and new user growth, driven by new strategies like consumption-based pricing and PLG. 🤝 18% are now 𝘢𝘭𝘴𝘰 supporting product teams, beyond supporting the traditional sales, marketing, and CS functions. Want to learn more about how compensation and workload trends are shaping up? Get the full 𝟮𝟬𝟮𝟱 𝗥𝗲𝘃𝗢𝗽𝘀 𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 & 𝗜𝗺𝗽𝗮𝗰𝘁 𝗥𝗲𝗽𝗼𝗿𝘁 now. 👇 🔗 https://lnkd.in/g5d3iMSf