How Do I Forecast SaaS Renewals and Retention in 2027?

Direct Answer

To forecast renewals and retention for a SaaS business in 2027, run a dedicated renewal forecast that is separate from your new-business forecast and is built bottoms-up from each contract's renewal date, health signal, and likelihood — then roll it up into a gross-retention and net-retention projection the board can trust.

New-business forecasting and renewal forecasting are fundamentally different disciplines: new business is about pipeline and win rates, while renewals are about a *known book* of contracts coming due, each with a probability of renewing, churning, contracting, or expanding. The most important move is to build the renewal forecast on leading health indicators — product usage, support sentiment, executive engagement, and stage in the renewal process — rather than waiting passively for the renewal date and hoping.

Teams that forecast renewals well see at-risk accounts a quarter or two early and have time to run a save play; teams that do not discover churn the week the contract lapses.

Why Renewal Forecasting Deserves Its Own System

In a SaaS business, the renewal base is usually the largest and most predictable part of revenue — and net revenue retention is one of the metrics boards and investors weight most heavily. Yet many teams bolt renewals onto the new-business forecast as an afterthought, which produces two failures: at-risk renewals are spotted too late to save, and the retention projection the board sees is little more than an optimistic guess.

The two forecasts answer different questions. The new-business forecast asks "how much will we *win* from pipeline?" The renewal forecast asks "how much of our *existing* base will we keep and grow?" They use different inputs, different owners (CS and account management own renewals; sales owns new business), and different cadences.

Treating them as one blurs both.

Building the Renewal Forecast Bottoms-Up

1. Start From the Renewal Calendar

Lay out every contract by its renewal date. This is your known, finite universe — unlike new business, you know exactly which accounts are up and when. Group them into the periods you forecast (this quarter, next quarter, and beyond) so you can see the renewal wall coming.

2. Attach a Health Signal to Each Account

For each renewing account, attach the leading indicators of renewal likelihood:

• Product usage / adoption relative to what they bought (the strongest signal — declining usage predicts churn).
• Support and sentiment — escalations, satisfaction, and tone of the relationship.
• Stakeholder engagement — is the economic buyer still engaged, or has the champion left?
• Commercial context — was the original deal heavily discounted, is there budget pressure, are they using the contracted scope?

3. Assign a Renewal Likelihood and Motion

Translate health into a renewal probability and a *motion*: healthy accounts forecast to renew (and possibly expand), at-risk accounts get a save play and a discounted likelihood, and likely-churn accounts are forecast honestly as losses with a possible win-back track. The forecast should reflect the save effort already underway, not a static health score.

From Account-Level to Gross and Net Retention

Roll the account-level forecast into the two metrics the board cares about:

• Gross retention — revenue kept from the existing base, before expansion. It can never exceed 100% and is the truest measure of whether customers stay.
• Net revenue retention (NRR) — gross retention plus expansion (upsell, cross-sell, usage growth) minus contraction. NRR above 100% means the existing base grows even before adding a single new logo, which is the hallmark of a strong SaaS engine.

Forecast both, and forecast the *components* — churn, contraction, and expansion — separately, because a flat NRR can hide a business that is churning heavily while expanding aggressively, which is far riskier than it looks.

Cadence and Ownership

Run a renewal forecast review on its own cadence, owned by CS or account management, where each renewal in the near-term window is reviewed for likelihood, save-play status, and expansion potential. Pull the renewal forecast into the overall company forecast so leadership sees one coherent revenue picture — new business plus renewals plus expansion — but keep the underlying disciplines distinct.

Common Pitfalls

• Folding renewals into the new-business forecast. It buries at-risk accounts and produces a weak retention projection.
• Forecasting on the renewal date alone. By the time the date arrives it is too late to save a slipping account. Use leading health signals.
• Reporting NRR without its components. A healthy-looking NRR can mask heavy churn offset by expansion — a fragile combination.
• No save-play accountability. Flagging an account as at-risk does nothing unless a save play is assigned and tracked.
• Treating all expansion as certain. Expansion is pipeline too; forecast it with likelihood, not as a guarantee.

FAQ

How is renewal forecasting different from new-business forecasting? New business forecasts wins from pipeline using win rates; renewals forecast retention of a known, dated book of contracts using health signals and likelihoods. Different inputs, owners, and cadence.

What is the best leading indicator of renewal likelihood? Product usage and adoption relative to what the customer purchased. Declining usage is the most reliable early warning of churn, ahead of the renewal date.

Should I forecast gross retention, net retention, or both? Both, and forecast their components separately. Gross retention shows whether customers stay; net retention shows whether the base grows. Each tells you something the other hides.

Who owns the renewal forecast? Customer success and account management own it operationally, with RevOps owning the model, the health data, and the roll-up into the company forecast.

A Worked Example of the Roll-Up

Imagine a renewal quarter with a book of accounts coming due. You lay them on the renewal calendar and score each: a cluster of healthy, high-usage accounts forecast to renew and several flagged for expansion conversations; a smaller group at risk, each with declining usage and a champion who recently left, every one assigned an owned save play with a discounted renewal likelihood; and a short list of likely-churn accounts forecast honestly as losses with a win-back track.

Rolling those account-level likelihoods up produces a gross-retention projection (the share of base revenue you expect to keep) and, once expansion is layered in and contraction subtracted, a net-revenue-retention projection. Crucially, you report the components separately, so leadership can see that a healthy-looking net number is built on solid gross retention plus disciplined expansion — not on aggressive expansion papering over heavy churn.

As the quarter progresses, the weekly renewal review updates each likelihood as save plays succeed or fail, and the projection tightens toward reality rather than lurching at the renewal date.

Sources

• Gartner — research on customer success, renewals, and retention operations.
• Forrester — analyst coverage of net revenue retention and post-sale revenue management.
• Bessemer Venture Partners — State of the Cloud and SaaS retention benchmark writing (gross vs. Net retention).
• OpenView Partners — SaaS expansion, retention, and net-dollar-retention benchmark reports.
• KeyBanc Capital Markets — annual private SaaS survey covering retention and expansion metrics.
• SaaS Capital — research on retention rates and their relationship to growth and valuation.

Related on PULSE

• How do you build NDR cohort reporting that a board will trust in 2027?
• How do you build a churn-save play that customer success can run in 2027?
• How Do I Score My CSMs on Retention and Expansion?
• How Do I Fix the Sales-to-Customer-Success Handoff in 2027?
• Explore the Pulse Tools library for a renewal-forecast template.