Read the customer, then the opportunity
A new deal is mostly the work on one opportunity. A renewal opportunity is often created months ahead with almost nothing logged on it, while the evidence sits on the account: earlier contracts, earlier expansions, the people who still reply and the ones who left.
So the useful facts are about the customer as of the read day. How long since their first win. Whether they renewed before, and how many times. Whether an expansion closed or was turned down in the last 12 months. What the last contract ran for. What else is open on the account.
Usage, people and what they wrote
Usage is the clearest early sign when a team keeps it: paying for seats, licenses or credits they use less than half of, or using less this quarter than last.
People come next. A champion changing jobs, one person engaged instead of three, no executive in a meeting in the last 90 days.
Then what the customer wrote. A problem raised with support or sales, a question about price, or a message about cancelling or switching. Subject lines carry most of this, and they are already in the CRM.
How Kaypo answers this for your pipeline
Every open deal, scored on what the buyer did, with the move that worked in your own wins.
Kaypo reads your CRM, email and calls, checks every signal against the deals you have already won and lost, and puts the answer on each deal: the score, why it moved, and the next step with the email written.
Quiet renewals often renew
A common surprise in real renewal data is that the quietest accounts renew most often. Contracts that renew on their own see little activity, and the renewals that get worked hard are often the ones already at risk.
That does not mean a rep should stop calling. It means activity on a renewal is a symptom to read in context, and a pattern that says "nothing from the client in 90 days" sits next to the patterns that explain the risky ones.
How to check it on your own renewals
Read every closed renewal as it stood about 30 days before it closed, so nothing written at the close counts. The amount is a common leak: on many CRMs the value changes at signing, so use the amount as it stood on the read day.
Learn on the older renewals and check each finding on the newest ones. Most renewals renew, so measure a finding by how much it cuts the losses as well as how much it lifts the win rate.
Questions people ask
What is the strongest predictor of a renewal?
The strongest predictor of a renewal differs by team. Usage of what was bought, the champion staying, and several of the customer's people staying engaged are the usual candidates, and only a team's own closed renewals show which one leads for them.
Why do quiet accounts renew more often?
Quiet accounts are often on contracts that renew on their own, while the renewals that draw a lot of activity are frequently the ones already in trouble. Activity on a renewal is a symptom to read in context.
Can a CRM predict churn without product usage data?
A CRM can predict part of churn without usage data: tenure, earlier renewals and expansions, the people engaged, and what the customer wrote all carry signal. Usage readings make the picture much sharper when a team has them.
Reviewed October 27, 2026 against the product as it behaves today.