AGENT 38 / 11 · RETAIL & E-COMMERCE · PRODUCT GROWTH ANALYTICS

Feature Adoption Tracker

Correlates specific feature-usage paths with 12-month retention, then drives adoption of the retention-correlated feature across accounts that haven't picked it up yet.

READS FROMFeature usage logs, retention cohort data

MCP SERVERProduct Data Server

MODELRouted to reasoning-tier open model

HANDS OFF TORenewal & Expansion Planner, Churn Early Warning System

RUN THE AGENT

Set your adoption rates, model the retention lift

Adjust adoption and retention rates and the agent recalculates blended retention and revenue retained instantly.

ASSUMPTIONS

Active accounts 4000

Accounts using the key feature 35%

12-month retention, with feature 88%

12-month retention, without feature 52%

Adoption uplift from in-app prompts 15 pts

Average annual account value (£) 450

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Current blended retention

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Retention with higher adoption

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Extra accounts retained / yr

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Extra revenue retained / yr

Metric	Value

HOW IT WORKS

What the agent actually does

1. Correlate usage with retention	Analyzes which specific feature-usage patterns most strongly predict 12-month retention across the account base.
2. Score adoption gaps	Flags accounts that haven't adopted the retention-correlated feature yet.
3. Drive adoption	Triggers targeted in-app prompts and lifecycle emails to close the gap for at-risk accounts.
4. Hand off	Feeds the adoption-uplift forecast to the Renewal & Expansion Planner, and low-adoption accounts to the Churn Early Warning System.