Customer retention analytics
Improve Customer Retention With Actionable Revenue Insights
Retention plans often start from gut feeling. Revenow starts from your own transaction data, showing where your customer base stands today and which customers are worth your team's time.
The Retention Blind Spot
Most teams know their total sales but not how many of last year's customers are still buying. Without that view, retention work turns into generic newsletters sent to everyone, regardless of who actually needs attention.
Why Retention Decisions Need Data
Your time and discount budget are limited. Customer retention analysis helps you spend them on the people where they make the biggest difference, not on loyal buyers who would have ordered anyway.
How Revenow Supports Retention
- Upload a CSV or XLSX export of your orders.
- See your base split into active (under 60 days), at risk (60–89 days) and inactive (90+ days), relative to the analysis reference date.
- Review estimated revenue at risk and estimated recoverable revenue.
- Work through a ranked list based on spend, frequency and recency.
- Re-run with new data later and compare analyses.
Example: Planning a Quarter
Illustrative example with hypothetical figures. Actual results depend on your data, and estimates are not guaranteed revenue.
A team plans retention work for the next quarter. The analysis shows most revenue comes from active customers, a mid-sized at-risk group, and a long tail of inactive one-time buyers. They decide to leave active buyers alone, send timely reminders to the at-risk group, and reach out personally only to the highest-value inactive accounts.
Connect Retention to Related Work
For the early-warning list, see at-risk customer detection. To understand how much of your base has already lapsed, see customer churn analytics.
Who Benefits
- Small teams who need retention priorities without a data analyst
- Marketing leads deciding which customers to target
- Owners who want a regular check on customer health
Frequently Asked Questions
What customer retention insights does Revenow provide?
How many customers are active, at risk and inactive, what they spent historically, the estimated revenue at risk and recoverable revenue, and a ranked list of customers to prioritize.
Can I track retention over time?
Yes. Each analysis is saved, so you can run a new one with fresh data and compare results with earlier runs.
Will Revenow improve my retention rate?
Revenow does not guarantee better retention. It gives you the information to decide where to act; results depend on the actions your team takes.
Do I need a CRM or loyalty program?
No. A CSV or XLSX export of orders or transactions with a customer, an order date and a revenue amount is enough.
Are the retention rules the same for every business?
Yes. Revenow currently uses one fixed rule set for every customer: under 60 days since the last purchase is active, 60–89 days at risk, and 90 days or more inactive, relative to the analysis reference date.
Compare plans on the pricing page.