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.





Customer data lives in three different systems

CRM data is only as good as the rep who filled it in

Third-party dashboards collect dust

Retention forecasts rely on lagging indicators
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
