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AceNgage’s Attrition Prediction Model

Predict Attrition Before It Happens

Get ahead of employee exits with data you can act on.


Our AI-powered Attrition Prediction Model helps you foresee potential resignations before they occur — giving you the clarity and time to intervene. Built on over 10 lakh+ real exit interviews and behavioral markers, this model turns hindsight into foresight.

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Case Study

Revealing the ‘Why’ Behind Exit Decisions, Through Behavioral Insights

From Reactive to Proactive

​82% difference between internally reported reasons and those uncovered by AceNgage.

 

Why wait for someone to resign? Most attrition patterns follow identifiable cues — delayed onboarding, manager disconnect, lack of recognition, or a poor post-offer experience. Our model tracks these signals across employee lifecycles and flags high-risk cases early.

How It Works

1 / Behavioral Indicators

Tracks subtle signs like engagement dip, survey sentiment, and missed milestones.

2 / Contextual Benchmarking

Uses 18+ years of attrition intelligence across 15+ industries to contextualize your risks.

3 / Predictive Score

Each employee gets a dynamic risk score — by location, role, and tenure.

4 / Personalized Action Plans

No generic advice. Get role-wise and region-wise recommendations you can act on fast.

“We thought we were losing people for better pay. The model showed a pattern — it was our manager transition plan that needed fixing.”


— AceNgage Client, BFSI Sector

Our Clients

Why companies like AceNgage?

Efficient, detailed, and accountable service

Working with AceNgage has been nothing short of exceptional. Their team is incredibly dependable, always quick to respond, and consistently delivers powerful insights through exit interviews and red flag reporting. These inputs have played a crucial role in helping us strengthen our employee retention efforts.

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Judith Pancho

Johnson & Johnson​

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