By cancellation, the decision was made weeks ago.
A customer cancels. The decision was not made today. Usage dropped three weeks ago. Support tickets spiked. Feature adoption stalled. Login frequency fell 60%. The signals were there across four different tools. Nobody connected them. askotter does, 18 days before the cancellation email.
avg signal lead time
health scoring
ARR protected last quarter
The fix does not wait for a monthly report.
Real behavior gets read as it happens. The weak spot gets found, fixed, and signed off by a human, and the result shows up in the same view.
Churn is a lagging indicator
Measuring churn at the point of cancellation is like measuring a disease at the hospital. The causes happened weeks earlier. Usage patterns shifted. The customer stopped exploring new features. Support response times frustrated them. Payment retries started failing. Each signal appeared in a different tool. Together they form a clear pre-churn pattern, while each one on its own reads as noise.
The cost of late detection
A customer flagged 18 days before cancellation can be saved with a well-timed CS outreach, a feature walkthrough, or a billing adjustment. A customer flagged at cancellation is gone. For SaaS companies, the difference between proactive and reactive retention can be millions in ARR. The data to be proactive already exists.
How askotter predicts churn
askotter connects product analytics, billing, support tickets, and CRM activity to identify pre-churn patterns. Login frequency -60% plus unresolved tickets plus payment retry failure equals high churn risk. Accounts are scored and ranked by ARR impact. CS teams get per-account playbooks: what happened, what to say, and what to offer. Every intervention is a recommendation. Humans decide.
Real-time detection in action.
KPIs this pain point directly impacts.
Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.
Other saas & technology pain points askotter solves.
A 90-day deal gets credited to the last call. The blog that started it gets cut.
askotter maps every touchpoint across 90+ day B2B sales cycles. Multi-touch attribution that gives accurate credit to content, ads, and sales together.
Your best customers are ready to upgrade. Nobody noticed.
askotter identifies expansion-ready accounts by connecting product usage, billing, and support data. Surface upsell signals to CS and sales at the right moment.
You shipped a major feature. Is anyone using it?
askotter tracks feature adoption by segment, plan, and cohort. See which users adopted, which did not, and whether adoption reduces churn. Connected to billing and support data.
Ready to solve this for your team?
We will connect your data, deploy agents that watch for this specific problem, and surface what matters. Your team stays in control. AI suggests, humans decide.