Activation
Research Method: Cohort analysis
Analyze the lifecycle of each weekly cohort of reward users over time percentages are based on total number of users that signed up for that week compare against different cohorts to standardize the user journey Looked at how many users performed the following actions each Takeaway #1:
50% of users will activate a transit ticket in their first week of signing up Coincidentally roughly 55% of new rewards users will redeem a ticket in the first week of joining rewards (slightly higher that the amount of users activating ticket possibly due to users holding tickets for a period of time after redeeming) In this market all users are given an 800 welcome point bonus and is enough to redeem any offer, but half are still not doing so in this first week Hypothesis:
Users are not experiencing the ‘Aha moment’ in their first week (not redeeming a ticket) and may be the reason users churn How might we...
Get more users to ride transit in their first week of joining rewards? Takeaway #2:
Only 25% of users will continue to earn points & visit rewards 1 week post sign up Hypothesis:
Largest drop off occurs 1 week post signup How might we...
encourage users to come back to rewards 1 week after joining Additional questions
are users viewing rewards and not redeeming (i.e. not interested in rewards) are users completing the onboarding flow Engagement
Takeaway #1
Out of ~50,000 users ~3800 will ride transit each week (7%) Hypothesis
App usage (earnings + redemptions) is driven mostly by a small group of highly active users
Active Users
MAUs - % of users who have earned points in a given month
Takeaways
Average 8000 (28.18%) monthly active users Starting to see a downward trend in the 2H 2023 Hypothesis:
Not attracting our ideal user persona - lots of users are joining rewards but are not continuing to use it to ride transit Additional notes:
Are users eventually graduating to ORCA?