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Customer Success

Renewal forecasts that reflect reality, not optimism.

Ebenezer's digital organism compiles renewal pipeline data, adjusts projections based on account health signals, and delivers current renewal forecasts to CS and finance leadership automatically.

TL;DR

Renewal forecasting automation compiles contract renewal dates, account health scores, and engagement signals into a continuously updated renewal revenue forecast, adjusting at-risk accounts below full value to reflect probable outcomes.

Last updated: 2026-03-12

Definition

Renewal forecasting automation is a pipeline monitoring process in which a digital organism aggregates contract expiration data and account health scores from connected CS and CRM systems, applies configurable risk adjustments to at-risk accounts, and produces a current renewal revenue forecast segmented by time period and risk category. The forecast is updated automatically as health scores and renewal statuses change.

Industry context

Why this matters

70% of CS leaders say their renewal forecasts are primarily based on renewal history rather than current signals (Gainsight, 2022)

Net Revenue Retention is now the primary metric used to evaluate CS team performance in 62% of SaaS companies (TSIA, 2023)

Renewal forecast accuracy of plus or minus 5% is achieved by only 27% of SaaS companies (Gainsight, 2023)

At-risk renewals identified more than 60 days before expiration are saved at a 40% higher rate than those identified within 30 days (Totango, 2023)

Finance teams update renewal forecasts an average of once per month, creating significant lag between risk emergence and forecast adjustment (Forrester, 2022)

The problem

What teams deal with today

Renewal forecasts are compiled once a quarter from a spreadsheet that does not reflect current account health

Finance plans to a renewal number that CS knows is optimistic but has no formal way to communicate risk adjustments

At-risk renewals are not visible in the forecast until the CSM manually marks them at risk, which often happens too late

How it works

The Renewal Forecasting Automation workflow

1

Reads all upcoming renewals from CRM and contract systems with their values and expiration dates

2

Pulls account health scores and renewal engagement signals for each renewal in the pipeline

3

Applies risk-weighted adjustments to at-risk accounts based on health score and engagement

4

Compiles a segmented renewal forecast by month, quarter, risk tier, and CS team

5

Delivers the current forecast to CS and finance on a configured schedule and updates in real time as signals change

Integrations

Works with your existing stack

The AI organism connects to the tools you already use, building context from every interaction.

Salesforce
Gainsight
ChurnZero
HubSpot
NetSuite
Slack

Common questions about Renewal Forecasting Automation

How does Ebenezer calculate the risk-adjusted renewal value for at-risk accounts?

Risk adjustment rules map health score ranges to probability factors. For example, accounts with a health score above 75 may be credited at 95% of their renewal value while accounts with a score below 40 are credited at 30%. The probability factors are configurable and should be calibrated against your historical renewal data to produce a forecast that is historically accurate within an acceptable variance band. Ebenezer applies the factors automatically based on current health scores.

How does Ebenezer handle expansions and contractions in the renewal forecast?

Accounts with active upsell opportunities can have an expansion probability layer added to their renewal forecast line. Accounts with known downgrade risk, such as those in cost-cutting mode or reducing their user count, can have a contraction adjustment applied. These inputs come from opportunity data in the CRM and manual risk flags set by the CSM. The forecast reports show base renewal, risk-adjusted renewal, and potential expansion value as separate line items.

Can the renewal forecast be used by finance for cash flow planning?

Yes. The forecast includes payment timing information based on contract billing schedules, showing when cash from each renewal is expected to be received, not just when the contract expires. For annual contracts billed upfront versus monthly, this timing distinction affects cash flow planning significantly. Finance receives a cash receipt forecast alongside the contract renewal forecast.

How does Ebenezer handle multi-year renewals that contain staged pricing changes?

Multi-year renewal contracts can have different annual values configured per year. The renewal forecast reflects the correct value for each upcoming renewal period rather than using a single average. Escalator clauses and CPI adjustments that change the contract value on renewal can be encoded in the contract record and applied automatically when the renewal period is reached in the forecast.

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