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Why Post-Sales Forecasting Needs Its Gong Moment

by Dan Jeremiah
7/24/25

It’s no secret that Sales and Marketing teams have transformed their forecasting and pipeline visibility over the last few years. Tools like Gong, Clari, and Revenue.io have redefined how we track buyer intent, forecast pipeline, and align GTM teams in real time. Every sales meeting starts with clear dashboards, rep-level predictions, and prioritized actions. But when it comes to the post-sale side of the house — renewals, expansions, and adoption — many organizations are still flying blind.

Where’s the Gong for CS?

Customer Success, Account Management, and Renewals teams are still being asked to make gut-check predictions about outcomes, often with disjointed or incomplete data. And the implications go deeper than just poor forecasting—these guesses often trigger unnecessary escalations, distort health scores, and erode cross-functional trust.

Sales Has Clari. What Does CS Have?

Sales teams benefit from CRM-integrated forecasting engines that surface risk, track deal progression, and predict conversion with remarkable accuracy. Post-sales teams, by contrast, are often left cobbling together insights from a CS platform, a spreadsheet, and the last Slack message from Product. And even where Customer Success Platforms (CSPs) exist, TSIA research shows that:

Fewer than 20% of companies can quantify the ROI of automation/workflows in their CS platform.
Nearly 1 in 3 companies report no measurable improvement in customer engagement or company performance from CS tooling.
And over 70% cite data quality and integration issues as the top barrier to CS platform success.

A New Approach: Predictive, Pattern-Based Revenue Intelligence for Post-Sales

At Magnify, we believe post-sales teams deserve the same forecasting and execution muscle as Sales. That’s why we’ve built Customer Growth Automation (CGA)—a platform that doesn’t just report, but actually predicts and acts.

✅ Magnify connects product, support, sales, billing, and CS data to forecast revenue by account—not just high-level ARR.
✅ It leverages AI/ML to find patterns across your install base, identifying what drives churn and what signals expansion.
✅ Teams can then automate actions by segment, persona, and behavior—across email, Slack, in-app, text, and more.
✅ And unlike legacy CS tools, Magnify reports on campaign outcomes—with built-in A/B testing, so you can refine motions continuously.

Why This Matters for Marketing and Revenue Leaders

The same way Marketing leaders measure pipeline contribution and campaign lift, CS and RevOps leaders need to quantify renewal impact, adoption lift, and risk reduction. Magnify gives teams the full-funnel visibility and control they need—so actions are based on data, not hope.

And perhaps most importantly—it doesn’t require your teams to change tools or processes. Magnify sits on top of your current stack and gets smarter with every customer interaction.

Bottom Line: Post-Sales Teams Deserve Forecasting Parity

The days of gut-feel renewal forecasts and static dashboards are over. As the line between Sales and CS continues to blur, the systems that support them need to evolve together. Magnify gives you the infrastructure to predict, prioritize, and act—just like your Sales team already does.

Ready to Learn More?

Find out more about how to leverage AI and Automation to effectively scale your CS organization. We look forward to chatting wtih you soon!

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