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.
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. Apart, they are noise.
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.
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.
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.
askotter maps every touchpoint across 90+ day B2B sales cycles. Multi-touch attribution that gives accurate credit to content, ads, and sales together.
askotter identifies expansion-ready accounts by connecting product usage, billing, and support data. Surface upsell signals to CS and sales at the right moment.
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.
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.