Churn prediction is often portrayed as a magical solution or a crystal ball for Customer Success teams. But in reality, it’s far from that. At Tingono, we know the real work happens behind the scenes. It’s messy. It’s collaborative. And above all, it’s deeply data-driven.
We don’t just predict churn. We tie every insight directly to revenue impact. That means your team knows not only who might churn, but why, when, and what to do about it. Here’s a closer look at how we make that happen.
Where the Data Comes From
Effective churn prediction starts with historic data. At Tingono, we typically pull in signals from across the entire customer journey:
By integrating these sources, we’re able to build a 360-degree view of each customer, allowing us to connect the dots and understand context—not just raw activity.
How We Prep the Data
We normalize formats, align timestamps, and stitch together data from different systems into a unified customer timeline. This timeline reflects how each customer’s journey actually unfolds, giving us a living, breathing view rather than a series of disconnected snapshots.
What Features Matter Most
So what signals are we actually looking for? Some of the most powerful predictors of churn include:
- Anticipated drops in usage
- Paused or stalled sales opportunities
- Sudden changes in engagement (e.g., fewer logins, fewer support interactions)
These signs, when viewed in context, help us flag churn risk early—often before the customer even realizes there's a problem.
Nobody’s Data Is Perfect—and That’s Okay
One common concern: "Our data isn’t clean enough." The good news? Perfect data isn’t required.
Our AI learns from historical patterns and automatically finds value in even imperfect signals. Tingono is built to work with the data you do have, not the data you wish you had.
From Reactive to Predictive
By the time churn risk shows up in your inbox or a QBR, it might already be too late. Tingono helps teams move from reactive firefighting to proactive strategy. We don’t just surface risk—we prioritize it based on revenue impact. That way, your team knows where to focus, when to act, and what actions are likely to retain the most value.
Final Thoughts
Churn prediction isn't about magic. It's about mastering complexity with clarity and turning scattered signals into actionable insights. At Tingono, we’re helping Customer Success teams do exactly that—combining powerful AI with practical execution to drive retention, expansion, and revenue outcomes.
