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Adoption Metrics

Track how users adopt key features after onboarding to understand product activation.

Feature Adoption Rate

62%

+8% vs last month

Activation Rate

47%

2.4 days time to activation

Onboarding Completion

71%

22% drop-off at step 3

Active User Growth

34%

+12 new active users

Key Feature Adoption Breakdown

Features your users adopt first and where drop-offs occur.

Linked Bank Account 1.2 days to Adopt82%
Verified Identity 3.4 days to Adopt54%
Onboarding Flow Completed 4.9 days to Adopt48%
First Transaction Initiated 7.1 days to Adopt35%
Saved Beneficiary 2.5 days to Adopt29%
Withdrawal Request 4.7 days to Adopt22%
Currency Swap 3.1 days to Adopt17%
Virtual Support 2.9 days to Adopt9%

Adoption Over Time

How quickly users adopt features after signing up.

Sessions

Sessions by day

Activation Funnel

Track how users progress from sign-up to core activation events in your product.

Account Created

Avg Time Reach: Instant

100%

Stage 1

Email Verified

Avg Time Reach: 2m 10s

78%

Drop-off: 22%

Stage 2

First Key Action Taken

Avg Time Reach: 4m 32s

55%

Drop-off: 45%

Stage 3

Features Activated

Avg Time Reach: 6m 11s

40%

Drop-off: 60%

Stage 4

Activation Event Reached

Avg Time Reach: 10m 04s

28%

Drop-off: 72%

Stage 5

Time to First Value

How long it takes your users to reach their first meaningful action.

Users

Days

Avg Time to First Value: 3.2 Days

Adoption by Segment

Compare adoption performance across your user segments.

Users

Key Insight

Highest adoption: 51-200 Employees (80%)

Lowest adoption: 200+ (42%)

User Journey Completion Map

Track how users progress through your product's key activation steps.

1
Account Created

100%

3,241 users

-10%
2
Email Verified

82%

2,611 users

-18%
3
First Key Action

61%

1,121 users

-21%
4
Features Activated

49%

981 users

-12%
5
First Value Reached

37%

859 users

!

Biggest drop-off occurs between Visitors → Sign-ups (-71%)

Users who complete at least one step are 2.4× more likely to reach first value.

Re-engagement Metrics

Track how inactive users return and re-engage with Groom powered guidance

Re-engaged Users

1248

+18% vs previous period

Re-engagement Rate

32%

+4.3% improvement

Avg Time to Re-engage

4.6 days

+0.7 days

Re-engaged via AI Guidance

61%

Top channel

Re-engagement Over Time

Days

What Brings Users Back

In-app Prompt38%
Email Reminder27%
In-app Nudge19%
Feature Recommendation11%
Manual Return5%

AI-driven prompts are the top re-engagement driver.

Recently Re-engaged Users

User/ClientLast Inactive PeriodRe-engagement TriggerFirst Action After ReturnStatus
PaystackInactive for 9 daysAI In-app PromptInitiated a TransferActive
Samuel C DikeInactive for 15 daysEmail ReminderGenerated a Payment LinkExploring
FlowmonoInactive for 20 daysFeature RecommendationUpdated Account DetailsChurned

AI Insights & Recommendations

Automatically generated insights based on your adoption, activation, and user behavior data.

AIAI-Generated
AIAdoption Health Summary

Overall Adoption: Strong

Your activation rate is high, but several teams drop off before completing key setup actions.

Activation Rate: 81% (+6%)
Time to First Value: 2.4 days (-18%)
Critical Drop-off Stage: First Key ActionMost Engaged Segments: 2–10 Employee Teams
High Impact

High Drop-off During First Key Action

Users hesitate before dropping off at this step. This is your biggest activation blocker right now.

Medium Impact

Incomplete Feature Setup Slows Adoption

Users that complete their KYC setup within Day 1 are 2.1× more likely to activate fully on your software.

Opportunity

Strong Early Adoption Among Small Teams

Teams with 2–10 employees show the fastest time to value and highest feature adoption.

Insight

Re-engaged Users Activate Quickly

Users who return after inactivity and complete a transaction within 24 hours are likely to remain active.

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