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Time to Activate
from Activation
Metrics type
Units of measure
Less - better
Check frequency
The average time it takes for a user to complete the activation process, such as creating an account or performing an initial login.
Why it is important
A shorter Time to Activate generally indicates a smoother and more user-friendly activation process, contributing to a positive user experience.

Monitoring this metric helps identify potential bottlenecks or areas for improvement, enabling decision-makers to optimize the onboarding flow and enhance overall user satisfaction.
Total Time to Activate / Number of Activated Users
Calculation example
Let's say we want to calculate the Time to Activate for a specific period, let's say a month.

Total Time to Activate: 100 hours
Number of Activated Users: 500
Using the formula: Time to Activate = Total Time to Activate / Number of Activated Users

Time to Activate = 100 hours / 500 users

Time to Activate = 0.2 hours per user
Affected metrics
Affecting metrics
Connecting metrics
Activated Users

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Suggested slices for dashboards
by Device Type
by Registration vs. Social Login
by Geo
by Traffic Source
by Audience Segment
by User Onboarding Experience
by Campaign Type
by Product Category
by Customer Support Interaction
by Language Preference
by User Engagement History
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. How does the Time to Activate metric correlate with changes in the activation process or user onboarding flows, and what insights can be gained for optimizing the activation experience?
2. Are there specific app features or updates that correlate with changes in the Time to Activate metric, and what insights can be gained for future development and user onboarding efforts?
3. Can you identify any correlation between the timing and frequency of in-app messages or changes in the app registration process and fluctuations in the Time to Activate metric?
4. How does the Time to Activate metric differ between users who have completed the activation process and those who haven't?
5. What impact do limited-time promotions or exclusive offers have on the Time to Activate metric, and how can these promotions be optimized for a faster and smoother activation process?
6. How does the geographic location of users influence the Time to Activate metric, and are there opportunities for localized optimization of the activation experience?
7. What is the correlation between the Time to Activate metric and user satisfaction scores, and how can improvements in user satisfaction contribute to a shorter and more efficient activation process?
Possible causes of worsening
Tactics to improve this metric
Explore in JetMetrics Lite or Ask professionals in the Community
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