AI-Powered Customer Churn Prediction Software

Predict customer churn before it costs you revenue

Avoma surfaces early warning signals from every customer call, CRM update, and account interaction, so your CS team can act on risk before it reaches the renewal conversation. Customer churn prediction software built into Avoma's revenue intelligence software platform turns conversation data into measurable retention outcomes.

Saves 15 minutes per meeting
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Trusted by 1,000+ revenue teams
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The tooling gaps that make churn hard to predict

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Customer data lives in three different systems

Call transcripts sit in your meeting tool, account notes in a doc, and contract dates in your CRM. None of them talk to each other. Churn signals exist — they're just spread across tools your CS team doesn't have time to reconcile manually.
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CRM data is only as good as the rep who filled it in

Manual data entry gets skipped, summarised poorly, or forgotten entirely. That means your health scores are built on gaps, and your forecasts reflect what reps intended to log — not what customers actually said.
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Third-party dashboards collect dust

Standalone analytics tools only work if your team logs in. CS managers don't have time for another tab. If the churn risk score lives outside the CRM, it gets ignored.
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Retention forecasts rely on lagging indicators

NPS surveys, QBR notes, and manual health scores are all backward-looking. By the time the data reflects a problem, the renewal conversation has already gone sideways.

What Avoma's churn prediction platform can do for your team

Early churn detection

An ML and GPT risk score with the evidence behind it

Avoma's Risk Score uses an ensemble of ML and GPT models to score each account on signals from conversations and emails. Hover over any score to see exactly which factors drove it. Green and red indicators show what's healthy and what's slipping. Scores sync to your CRM, appear in forecast submission tables, and surface as alerts in the Android app, so your team sees the same picture wherever they work.

  • Ensemble ML + GPT models score accounts on conversation and email signals
  • Hover-over justifications show the specific factors behind each risk score
  • Scores map to CRM properties in Salesforce and HubSpot via configurable field mapping
Deal health alerts

Every alert tells your team what to do next

Each negative deal health alert Avoma surfaces comes with an AI-generated recommendation. Alerts are deduplicated and shown in a timeline view, so CSMs see a clear sequence of risk events across the account's history. Each alert links to the specific transcript evidence that triggered it.

  • GPT-based alerts identify risk categories from conversation and email signals
  • AI recommendations on each negative alert tell your team the specific action to take
  • Timeline view shows how account health has evolved, call by call
Deal quick view

Risk Score and health alerts in a single account view

The Deal Health tab inside Avoma's Deal Quick View shows the current Risk Score alongside all active Deal Health Alerts for that account. CS and sales leaders can filter and sort their pipeline by risk level to prioritise which accounts need attention, without opening individual call recordings or switching between tools.

  • Deal Health tab surfaces Risk Score and alerts in one consolidated view
  • Filter and sort pipeline by risk level to triage accounts at scale
  • Flagged concerns and unresolved questions from sales calls are extracted automatically at handoff
CRM signal sync

Map Risk Score and health alerts to any CRM field

Avoma's Risk Score and Deal Health Alerts map directly to CRM properties, including custom HubSpot number fields and Salesforce custom objects. Your RevOps team configures which fields receive each signal. Scores and alerts update automatically after every processed interaction, with no manual entry required.

  • Configurable CRM field mapping for Risk Score and Deal Health Alerts
  • Supports standard and custom objects in Salesforce and HubSpot
  • Customer health monitoring data stays current without relying on rep updates
Sales-to-CS handoff intelligence

Transfer deal context that actually matters

Pricing concerns, onboarding hesitations, and late-stage friction often resurface as churn. Avoma's win analysis gives Customer Success the complete story behind every closed-won deal: the customer's core use case, trial experience, pain points, objections that were addressed, and the factors that ultimately drove the purchase decision.

• Captures and transfers the full "why we won" context at handoff
• Surfaces customer pains, use cases, objections, and de-risked concerns
• Equips CS teams to deliver personalized onboarding from day one
• Reduces churn caused by lost context and misaligned expectations

Retention-aware forecasting

Risk Score built into the forecast submission table

When your team submits a forecast, the deal selection table includes Risk Score, Qualification Score, and Forecast Risks as dedicated columns. RevOps leaders see account health signals alongside deal values, so retention risk is visible at the point of forecast submission, before the quarter closes.

  • Risk Score, Qualification Score, and Forecast Risks appear as columns in the forecast table
  • Customer retention analytics and engagement data feed directly into revenue models
  • CS and RevOps see the same account risk picture before committing numbers
Mobile risk alerts

Review risk alerts from any customer meeting on Android

The Avoma Android app has a dedicated Alerts tab inside each meeting's detail view. CSMs and managers can review AI-identified risk categories, plain-language summaries, and the transcript evidence behind each alert, directly from their phone.

  • Alerts tab in meeting details shows risk categories, summaries, and transcript evidence
  • Supports customer retention strategies by keeping CSMs informed between calls
  • Risk alerts available on mobile so your team can act on the road

5–25X

The cost of acquiring a new customer vs. retaining one

5%

Retention rate increase needed to lift profits by up to 95%

74%

Average annual retention rate across B2B SaaS companies

From conversation signals to churn prevention in three steps

1
Capture every account signal automatically

Avoma records, transcribes, and analyses every customer call, QBR, and check-in without manual input. Missed meetings, sentiment shifts, and disengagement patterns are detected and logged the moment they occur — giving your team a complete, real-time picture of each account. As part of Avoma's broader revenue intelligence software platform, these signals connect across your entire customer base.

2
Surface churn risk before it escalates

Avoma's AI connects the dots across call sentiment, CRM activity, and engagement frequency to calculate each account's risk level. High-risk accounts are flagged automatically, with the specific signals that triggered the alert — so CSMs know exactly where to focus and what to address.

3
Act early with the right context

Armed with specific churn signals, managers can coach CSMs on how to handle at-risk calls. Handoff notes, sentiment trends, and flagged moments give every customer conversation the context it needs to move the account back toward healthy engagement.

See How It Works

It helps managers identify opportunities and churn risks by looking at a single report instead of having to sit in on additional meetings.
Aubreigh B.
Helping us proactively address client churn risk and identify opportunities for growth. The tool helps us identify and act on the queues much more quickly.
Jeff O.
Avoma lets us identify opportunities for upselling as well as understand churn risks early to avoid danger for our business.
Kristin G.

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