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BUSINESS INTELLIGENCE

Mobile App Usage & In-App Behavioral Retention Analytics

See which in-app behaviors actually predict 90-day retention.

Mobile app product managers and growth teams battle aggressive user churn, needing to understand what specific in-app interactions build long-term loyalty. Growth teams can upload app event logs, feature usage clickstreams, loyalty rewards swipes, and push notification interaction data. Topic mapping connects qualitative feedback to quantitative usage patterns, so product teams understand not only where users struggle but what they were trying to accomplish.

Steeped AI maps nuanced concepts across free-text app store reviews and in-app feedback with a consistency manual review at release cadence can never achieve, including feature discovery confusion, notification fatigue, performance complaints, onboarding friction, and competitive switching intent. The platform tracks individual journeys, quantifying the exact feature sequences that correlate with 90-day retention, so teams refine onboarding, personalize rewards, and act before the next sprint planning session.

Base Column
review_text ▾
Value Column
friction_signal ▾
Base Column review_text ×Value Column ×
39%ofreview_text=onboarding_friction
flag for review
churn impact
100%
flagged count
507
review count
1,300
see examples
24%ofreview_text=notification_fatigue
flag for review
churn impact
71%
flagged count
312
review count
1,300
see examples

Customer Journey Mapping

Use Steeped AI's journey mapping to turn millions of raw in-app events into intuitive journeys showing how users move from install to loyal power user. The exact sequence, such as completing three loyalty challenges in week one, becomes a measurable stage rather than a hunch.

3 challenges wk 1installday 90retained 2.6x

AI Topic Mapping

Use Steeped AI's AI topic mapping to turn app store reviews and in-app feedback into measurable concepts like feature discovery confusion, notification fatigue, and competitive switching intent. Thousands of reviews per release become countable columns instead of a spot check.

onboarding frictionnotification fatiguefeature confusion

Relational Metrics

Steeped AI's automated metric breakouts automatically calculate intersecting metrics between loyalty tier, session frequency, and average order value without a single complex SQL join. Real deterministic math runs across every meaningful column pair before you open the platform.

Expand
Tier × Session Frequency
Gold + Daily
46%
Silver + Weekly
37%
Bronze + Monthly
28%
Free + Lapsed
18%
Base Column
loyalty_tier ▾
Value Column
order_value ▾
46%ofGold + Daily=High AOV
predictive power
88%
high-AOV count
138
user count
300
see examples

Predictive Power Score

Steeped AI's regression predictive power reveals which specific feature interactions strongly predict long-term account retention and loyalty tier upgrades. Two-variable regression runs automatically across every valid relationship and returns one percentage per signal.

87%PREDICTIVE POWER

Eureka Score

Steeped AI's Eureka Score ranks the most surprising in-app behavior patterns, highlighting hidden UX friction that causes immediate drop-off. The screen quietly killing week-one retention surfaces without anyone thinking to query it.

1.hidden_friction
● High Insight Urgency
AI Score Highlight: This pattern has findings in the upper ranges of relevance score.
Finding Highlight: 31% of "day-1 drop-offs" hit "permission prompt"
Highlight Reason: The permissions screen shown before any value is demonstrated drives more first-day loss than every performance complaint combined.
More Value Findings:
• 46% of "3 challenges wk 1" = "retained 90d"
• 31% of "day-1 drop-offs" = "permission prompt"
• 19% of "push-heavy" users = "uninstall"

Reporting & Citations

Steeped AI's reporting and citations turns those findings into a mobile product report where every conclusion carries a numbered citation back to the event or review behind it. Engineering can audit a retention claim before it becomes a roadmap commitment.

AI Report
In-App Retention Drivers
This report analyzes 12 months of events, reviews, and loyalty activity across 4 app versions.
Completing three challenges in week one predicts 46% of 90-day retention,1 rising to 57% for Gold tier2 and 2.6x the base rate.3
Onboarding friction dominates negative reviews at 39% of flagged text,4 and 3 in 5 of those mention the permission prompt.5

The insights are already in your data.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.