What is Customer Retention Analytics?

Retention rate hides the important part

A stable retention rate can conceal high-value customers leaving while low-value ones stay. Retention analytics weights each customer by revenue, so the number reflects the money at stake rather than a headcount.

Measuring what actually retains customers

Support responsiveness, onboarding, pricing perception, product fit, and account ownership all get credited with retention at some point. The analysis measures how much each one contributes and how confident that estimate is, so budget follows evidence.

Who is at risk, and when

Averisys Customer Intelligence Platform scores each customer for churn risk and estimates the timing, so outreach happens before the renewal window rather than after the cancellation. Each score comes with the reasons behind it.

Ranking retention actions

What-if scenarios estimate the effect of each option — faster support response, a pricing change, an onboarding fix — and rank them by expected revenue retained. Discounting stops being the default answer.

Keeping the loop running

As new data arrives the analysis is re-run, showing whether the action taken moved the driver it targeted. A free trial is available without a credit card.

Frequently asked questions