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Burning Revenue Question: What is the one biggest hurdle you faced when building a truly CUSTOMER-CENTRIC GTM motion? Answered with gusto by James Kaikis:  “The biggest hurdle is fighting the traditional norms, like NOT caring about MQLs and SQLs.” He went on to say how times have changed from the growth-at-all-costs era when money was cheaper to a more efficient way of doing things while maintaining profitability. This change calls for peeling the layers off of traditional processes and understanding the why behind those, to figure out if that makes sense for your business and your customers. Watch the full episode now to learn how to one-up traditional norms and build a truly customer-centric GTM strategy. 👇 🔗 https://lnkd.in/gZDf-B-m

All churn is not created equal… You HAVE TO KNOW all 3 types of churn if you want to accurately forecast CS revenue. But there are other blockers to CS forecasting mastery, like: how to fix and assign GOOD health scores AND how to fix the orchestration conundrum for renewals and expansions. CS experts Paul Staelin, Greg Daines and Jeff Saenger will tackle it ALL and give a clearer vision for how to forecast churn, renewals and expansions WITH PRECISION! Save your seat now 👇 for: Thursday,  September 19th at 11 am PST | 2 pm EST 🔗 https://lnkd.in/gnC39B88

Sales in a consumption-based world is way more data-driven than in the subscription world. To succeed in a consumption-based world, sales teams need to analyze consumption data very closely and base their optimization and workload offsetting efforts on the findings. This means they must add a data analysis layer to their traditional relationship and business value orientation. We hosted a webinar on Mastering Consumption-Based Forecasting, where our expert panel - Chris Klayko, SVP at Databricks, Santosh G., Sr. Director at MongoDB, and Justin Shriber, CEO at BoostUp, shared many such insights about a consumption-based revenue model, including: • The benefits of the model • The operational challenges that come with it and how to tackle them • What data to track and how to forecast usage-based revenue accurately • The changes required in sales comp structures  • The cultural and behavioral changes associated with it Watch the full webinar on-demand and learn all about accurately forecasting revenue in the consumption-based world. 👇 🔗 https://lnkd.in/graNzF3t

🚨 The first-of-its-kind RevOps Compensation and Workload Study needs your input! 🚨 BoostUp.ai and RevOps Co-op are partnering to bring the first comprehensive #RevOps Compensation and Workload Report! We are surveying people in any Operations, Sales or CS leadership roles. Click the link below to share your experiences and insights on all things relevant to revenue operations, including: 1. Compensation trends 2. Workload trends 3. Sales methodologies 4. Forecasting methodologies 5. How 1:1’s affect sales performance 6. How forecasting processes influence accuracy 7. How sales methodologies influence outcomes All answers are anonymous, but we’ll need your email to send you the results. Take the survey now 👇 🔗 https://lnkd.in/gfFpSnSG

Burning Revenue Question: How do you create a truly CUSTOMER-CENTRIC sales process? Answered decisively by the one and only James Kaikis: “For us, we wanted to be more customer-centric, so we killed the word handoff in our business. We have integrations instead, and everybody has joint responsibilities across the customer journey, to the tune that our AEs are full life cycle.” Watch the full episode now to know how James built a truly customer-centric GTM strategy at TestBox👇 🔗 https://lnkd.in/gZDf-B-m

IF IT’S TRUE that #CustomerSuccess teams are under increased scrutiny to more fully optimize customer value… …THEN IT FOLLOWS that there needs to be more discipline to forecasting CHURN, RENEWALS & EXPANSIONS accurately. These muscles HAVE NOT BEEN exercised nearly as much as those used in #SalesForecasting, and still Sales leaders struggle to forecast accurately at the beginning of the quarter! On September 19th, 11:00 am PST, we’re bringing 3 CS heavyweights - Paul Staelin, Greg Daines, and Jeff Saenger together to dive into the primary blockers that most often complicate CS forecasting success, including: 1. 𝗧𝗵𝗲 𝘁𝗵𝗿𝗲𝗲 𝘁𝘆𝗽𝗲𝘀 𝗼𝗳 𝗰𝗵𝘂𝗿𝗻 and how to tackle them through the customer journey 2. 𝗛𝗲𝗮𝗹𝘁𝗵 𝘀𝗰𝗼𝗿𝗶𝗻𝗴 𝗺𝗶𝘀𝘁𝗮𝗸𝗲𝘀 and how to make them right 3. (If we have time) 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, where it breaks down and what good looks like 4. (If we have time) 𝗖𝗦 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝘄𝗲 𝗹𝗼𝘃𝗲 𝗯𝘂𝘁 𝘄𝗵𝗶𝗰𝗵 𝗮𝗿𝗲 𝗺𝗶𝘀𝗹𝗲𝗮𝗱𝗶𝗻𝗴 ** Using extensive research and experience, they’ll explain what you can do to remove these blockers in order to forecast renewals and expansions accurately. ** Save your seat now 👇 🔗 https://lnkd.in/gnC39B88 Meet the panelists: 1. Paul Staelin, Chief Customer Officer at Vercel 2. Greg Daines, CEO of ChurnRX 3. Jeff Saenger, VP of Customer Success at BoostUp 4. Aaron Janmohamed, VP of Marketing at BoostUp

⚡⚡ NEW WHITE PAPER for anyone managing RENEWALS  ⚡⚡ 46% of B2B SaaS revenue comes from existing customers. Focussing on renewals and expansions lowers CAC and boosts profitability. Which means high-accuracy forecasting for renewals IS CRITICAL for companies trying to better their top-line and reduce costs. Apart from effectively predicting future revenue and churn, robust renewal forecasting workflows help you better understand your customers and make it easier to improve retention. Our latest white paper is all about renewal forecasting, including: 1️⃣ The foundational elements required 2️⃣ What kind of tech can be leveraged and how? 3️⃣ Mastering the process of renewal forecasting 4️⃣ How to drive forecast accountability Download the white paper now 👇 🔗 https://lnkd.in/eMkyM_qE

⚡⚡ NEW WHITE PAPER on Renewal Forecasting ⚡⚡ This white paper is about how to accurately forecast revenue and churn from existing customers. 🎯 An accurate focus on renewals, expansions and churn effectively lowers CAC and boosts profitability. Doing it right, including the adoption of a suitable CS Forecasting Methodology, enables revenue organizations to project revenue and churn more effectively, identify at-risk customers earlier and improve retention. Download the new white paper to learn the processes, tools and techniques required for a robust renewal forecasting workflow, and set your sales team up for more success! Renewal Forecasting 101 White Paper 👇 https://lnkd.in/eMkyM_qE

⏱️ Webinar starting in TWO hours! ⏱️ Last chance to learn how to MASTER consumption-based revenue forecasting! Listen to our expert panel discuss the value of a consumption/usage-based revenue model and explain what it takes to forecast consumption-based revenue with high accuracy and precision. The experts: - Chris Klayko, SVP at Databricks  - Santosh G., Sr. Director at MongoDB  - Justin Shriber, CEO at BoostUp What you will learn: - The benefits of a consumption-based model - The operational challenges - What to track and how to do it accurately - Building the right sales comp - Cultural and behavioral changes REQUIRED to do it right Click the link below to save your seat now. See you there at 11:00 am PST 🔗 https://lnkd.in/gmnnyrbY

🔊 **LAST CALL** 🔊 Listen to our expert panel on Thursday at 11:00 PST to learn how to MASTER Consumption-Based Forecasting. There is no playbook for running a consumption-based business. Which means forecasting consumption revenue is ALL OVER THE PLACE. But there’s HUGE value in embracing a consumption model. Understanding what the value is, and what it takes to be successful in a consumption world, is on the agenda. Who: - Chris Klayko, SVP at Databricks  - Santosh G., Sr. Director at MongoDB  - Justin Shriber, CEO at BoostUp What: - The benefits of a consumption-based model - The operational challenges - What to track and how to do it accurately - Building the right sales comp - Cultural and behavioral changes REQUIRED to do it right When and where: - 11:00 PST  - Register with the link below 🔗 https://lnkd.in/gmnnyrbY