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Feature · Revenue forecast

SaaS revenue forecast.
A number you can defend.

Weight every customer by their current churn risk. Project MRR three months out in best, expected, and worst-case scenarios, with the assumptions visible. The forecast you take to a board meeting is the forecast that materializes.

See pricing ›

What it is

A renewal forecast grounded in current health, not last quarter's.

Most SaaS revenue forecasts use historical retention rates as a proxy for the next quarter's outcome: last year you held 92% gross retention, so this year you'll hold 92%. The math works right up until something changes (a product launch, a competitor move, an enterprise customer's exec rotation) and the forecast starts missing by 4–6 percentage points. Boards lose confidence. The CFO loses sleep.

Exeechain's revenue forecast pivots the math: instead of projecting from history, it projects from current state. Every customer is weighted by their current churn risk; the projection is the expected MRR retained, expanded, and downgraded, in best, expected, and worst-case scenarios. When a customer's health score moves, the forecast moves. The numbers stay current.

How it works

Three layers, one defensible number.

  1. Step 01

    Start from live revenue data.

    The forecast pulls current MRR, every customer's latest churn score, the expansion pipeline, and the save plans already in motion, straight from your connected billing and CRM data. No spreadsheet exports, no stale inputs.

  2. Step 02

    Weight by current risk.

    Each customer's projected revenue uses their current churn risk as the leading indicator. High-risk MRR is discounted hardest, medium-risk modestly, and active save plans lift the expected case. The assumptions are listed next to the number.

  3. Step 03

    Output: three scenarios, 90 days out.

    The forecast surfaces best, expected, and worst-case MRR for each of the next three months, plus the with-action vs no-action gap. Drill into the at-risk dollars to see the customers driving the number, and click through to their save-playbook drafts.

Why it matters for NRR

A number the board can take apart, account by account.

The board trusts the number.

When the quarterly forecast lands within ±2 points of actual, the CS function earns operating credibility. Hiring requests, budget asks, and strategy decisions move faster.

Save efforts target real dollars.

Risk-weighted forecasting surfaces which specific customers are driving the at-risk dollars. CSM time goes to the accounts that actually move the number.

Renewal motions start earlier.

When the forecast says Q4 will miss by $400K, the team has 90 days to act. When it says Q4 already missed by $400K, you write the post-mortem.

Evaluating SaaS revenue forecasting against other platforms? See how Exeechain compares head-to-head with Gainsight, ChurnZero, Vitally, and Planhat.

Related features

What else runs on the same book.

Churn prediction

0–100 score, daily refresh, ranked by revenue

Customer health score

AI score with the three drivers explained

QBR automation

A quarter's deck, in about a minute

Workflow automation

Custom journeys with goals, A/B splits, approval gates

Retention playbooks

3 prebuilt, plus your own - AI-drafted per customer

Copilot

Plain-English Q&A grounded in your data

Questions

Revenue forecasting, answered

How do you forecast SaaS revenue from existing customers?▼

Start from the cohort paying today, then time each account's revenue to its actual renewal date: churn risk at the renewal, downgrade risk, and expansion signals. Exeechain builds the forecast that way rather than as a flat monthly churn rate, so the number moves when a renewal is near and an account is at risk, and stays put when the risk is nine months away.

What is the difference between gross and net revenue retention in the forecast?▼

Gross retention counts only losses, cancellations and downgrades, against the starting cohort and cannot exceed 100%. Net retention adds expansion back and can. The forecast shows both, because high net retention with low gross retention means a few expanding accounts are hiding a leak.

How does the forecast handle failed payments?▼

Revenue on a subscription whose card has failed is counted as at risk now, not at the next renewal, because the loss is already in progress. It sits in its own lane so it is never double-counted with renewal risk.

Can I check whether past forecasts were right?▼

Yes. Every forecast is recorded with its predicted figure, and once the period passes the actual figure is filled in and scored against it, so the accuracy of the forecast on your own book is a number you can read rather than a claim.

What is a good net revenue retention rate?▼

Above 110% is good for mid-market and enterprise SaaS and above 100% for SMB; the net revenue retention guide on the blog covers the definition and the benchmarks. The forecast reports your own figure on your own cohort.

Forecast from current state.
Not last quarter's rates.

First scores in 15 minutes. Every connected signal read within 24 hours. From $299/mo. The revenue forecast is on every paid plan.

Or look at the live demo

Not ready to switch? Size your leak from your MRR and churn rate, with no billing access at all.

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Find the revenue you never decided to lose. Failed payments, cards expiring before renewal, and renewals slipping, by customer, with the dollars attached.

Product

  • Revenue leak benchmark
  • Churn prediction
  • Health scores
  • Copilot
  • Playbooks
  • QBR automation
  • Forecast
  • Retention intelligence
  • Pricing

Integrations

  • Stripe
  • HubSpot
  • Intercom
  • Zendesk
  • Mixpanel
  • Slack

Free tools

  • Churn rate calculator
  • NRR calculator

Compare

  • Head-to-head
  • vs Gainsight
  • vs ChurnZero
  • vs Vitally
  • vs Planhat
  • vs Totango
  • Gainsight pricing
  • Gainsight rollout
  • ChurnZero pricing
  • Planhat pricing
  • Vitally pricing
  • Totango pricing
  • QBR software
  • CS software pricing
  • Buyer's guide

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  • Failed payment recovery
  • Involuntary churn
  • API reference

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