A renewal forecast call is the recurring meeting where renewals and customer success leaders review contracts approaching expiration, assign each one a category, and commit to a retention number. The population is known in advance, which makes this call fundamentally different from new business forecasting. Nothing has to be created. The work is deciding which of the contracts already on the calendar are genuinely safe.
What the call reviews
| Horizon | Population | Decision |
|---|---|---|
| Next 90 days | Contracts expiring this quarter | Commit, at risk, or likely loss |
| Days 91 to 180 | Next quarter's expirations | Which accounts enter a save play now |
| Any horizon | Accounts with a sponsor change | Reset the relationship before renewal enters the conversation |
| Any horizon | Accounts with open commercial asks | Owner and date for the pricing or scope decision |
The signals that belong in the room
Renewal risk shows up in behavior before it shows up in a conversation. Support activity is a useful and frequently misread example. ORM's data shows customers with no support cases are at risk of churn, and customers with seven or more cases in the last year are also at risk. Accounts filing three to five moderate cases usually renew, because they are engaged, getting help, and generally satisfied. A silent account is not a happy account.
Sponsor continuity carries similar weight. An executive who inherited a contract they did not sign has no attachment to it, and the renewal conversation with that person starts from zero. Flag sponsor changes as risk events in the call rather than noting them in a CRM field nobody reads.
Usage trend completes the picture. Adoption falling over two consecutive quarters predicts a downgrade even when the relationship feels warm, and a downgrade is what turns a renewal into a drag on net revenue retention.
Why the renewal call needs its own slot
Attached to a new business forecast call, the renewal book gets the last ten minutes and a default assumption that it closes. That assumption is expensive. Renewal outcomes are driven by adoption and sponsor stability rather than pipeline stages, so the evidence standard has to be different.
Separate tracking also protects your accuracy measurement. ORM measures forecast accuracy for new and expansion revenue apart from renewal, because the two behave differently and blending them hides which side is predictable. Reporting a single blended forecast accuracy number tells leadership almost nothing about where the risk sits. The broader logic for building horizon-specific models is covered in how to forecast revenue.
End the call the way a good forecast call ends, with named actions on at-risk accounts and a date attached to each one.
Frequently Asked Questions
Should renewals be forecast in the same call as new business?
No. The populations, signals, and owners differ. New business forecasting runs on deal evidence and buying process milestones. Renewal forecasting runs on usage, support behavior, and sponsor stability across a known list of contracts. Combining them means the renewal book gets 10 minutes at the end and gets treated as automatic.
How far ahead should a renewal forecast call look?
Two quarters. Contracts expiring in the next 90 days need decisions now, and contracts expiring in the following 90 need risk identification while a save play still has time to work. Reviewing only the current quarter guarantees that at-risk accounts are found after the point of influence.
What signals belong in a renewal forecast call?
Product usage trend, executive sponsor changes, open commercial asks, and support behavior. ORM's data shows support cases carry a counterintuitive read, with customers filing no cases at risk of churn and customers filing seven or more also at risk, while three to five moderate cases usually indicate an engaged and healthy account.
Why is renewal forecast accuracy tracked separately?
Because the drivers differ. ORM's forecast accuracy benchmarks for new and expansion revenue are measured apart from renewal, since renewal outcomes depend on adoption and sponsor continuity rather than pipeline creation and stage conversion. Blending them into one accuracy number hides which side of the business is actually predictable.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like renewal forecast call into prescriptive action for your team.
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