Forecast renewals from billing data, not a CSM's memory.
Renewal forecasting software.
Every renewal in the next 90 days arrives dated, priced and sorted soonest first, read from your CRM and billing. Anything the model filled in carries a Modeled label.
How does GainTrace forecast renewals?
Renewal Dates Nobody Has To Type
Every renewal surface in GainTrace reads one field, and nothing writes to it by hand. A documented precedence ladder resolves it instead: your CRM is the contract system of record and always wins.
See A Cancellation The Day It Is Set
A subscription set to cancel at period end looks no different in a CRM stage field, because nobody moved a deal.
A Forecast That Labels Its Own Assumptions
The 90-day weighted forecast is a model and says so on its face: it weights each renewal by the account's health band and ships with a Modeled badge and its assumption text written into the code, never a bare NRR heading.
How does GainTrace help CS leaders forecast renewals?
Renewal Dates Nobody Has To Type
- Scans six named renewal properties per CRM in priority order, first parseable wins
- Never maps HubSpot closedate or Salesforce CloseDate: those are the contract start
- A Stripe period end may only move a renewal date forward, never backward
- field_sources.contract_end_date records which connector set each account's date
Renewal dates nobody typed
ExampleOne field behind every renewal view. Never typed.
See A Cancellation The Day It Is Set
- cancel_at_period_end normalises to a cancelling status, not a silent active one
- Cancelling subscriptions keep counting toward MRR until the period actually ends
- Auto-renew off inside 60 days of renewal raises billing risk to imminent
- Renewal signals fire at 90, 60 and 30 days out, and you can move all three
A cancellation, seen the day it was set
ExampleA dated renewal loss no CRM stage field shows
A Forecast That Labels Its Own Assumptions
- Renewals bucketed at next 30 days, 30-60 days and 60-90 days, with ARR each
- Health bands weight it 95% healthy, 60% at risk, 20% churning, shown as Modeled
- Retention by segment computes NRR and GRR from real movements, sum over sum
- The revenue waterfall names an Unexplained residual instead of hiding the gap
The weighted forecast, labelled Modeled
ExampleThe modeled half carries a Modeled label
Which other problems run on the same account data?
Common questions about renewal forecasting
Ordered by how often it comes up.
How can a renewal forecast stay current if our CSMs never update it?
Is the weighted renewal number a real forecast, or a guess with a percentage on it?
Your reporting will be too rigid to produce our retention numbers. Then what?
Renewal dates in your system will disagree with our CRM and our billing, and then nobody believes the number.
Do we need a CS Ops admin or a dedicated resource to stand this up?
How long before we are looking at a renewal forecast we would act on?
What does this cost, and is the revenue reporting behind a higher tier or extra seats?
Where does our data live, and are you SOC 2?
Explore
Related questions, answered.
Plain-language guides from Explore: Revenue & Expansion.
- How Do I Improve Renewal Forecast Accuracy on My Book?
- How to Calculate Net Revenue Retention for B2B SaaS?
- How Do I Hit a CSM NRR Target on My Own Book?
- How Do I Hit a Gross Retention Target on My Book?
- Who Should Own Renewals, Sales or Customer Success?
- How Much Churn Is Normal for a B2B SaaS Startup?
- Is Logo Retention a Fair KPI When Every Account Counts the Same?
Every renewal in the next 90 days, dated and priced, with nobody maintaining it.
Renewal dates resolved from your CRM and billing records instead of a field a CSM remembered to update, every account sorted soonest-first, a weighted forecast that says out loud it is modelled, and no admin to hire.
Free to start · no credit card required.