Prompted by @acidyo, today I would like to provide an update on the statistics for user retention in the OCD onboarding initiative. This is a follow up to the post I wrote in April last year.
Overall Statistics
This table shows some overall statistics, with network averages for comparison. These statistics represent a substantial improvement in long term user retention for OCD compared to what can be seen in the last post. It also is vastly better than the network average.
Referrers | Onboarded Users | Became Active | Became Active First Month | Second Month Retention | Third Month Retention | |
---|---|---|---|---|---|---|
Overall | 75 | 1127 | 821 | 774 | 532 | 403 |
Rate | 15 per Referrer | 72.85% | 68.68% | 68.73% | 52.07% | |
Network Averages | 20% | 18% | 34.57% | 24.54% |
Referrals Per Month
The first chart shows the number of new accounts created through the initiative per month, starting from December 2021. We can see that while retention is very good compared to the broader network, OCD onboarding is still happening at quite a small scale.
Top Onboarders
Top 10 Leaderboard
Referrer | Onboardings | Onboarded and Posted | Activity Rate | First Month Active Rate | Second Month Retention Rate | Third Month Retention Rate |
---|---|---|---|---|---|---|
@soy-laloreto | 185 | 137 | 74.05% | 69.73% | 68.22% | 51.94% |
@starstrings01 | 68 | 53 | 77.94% | 69.12% | 82.98% | 68.09% |
@dodovietnam | 57 | 48 | 84.21% | 84.21% | 75.00% | 58.33% |
@dimascastillo90 | 52 | 33 | 63.46% | 59.62% | 80.65% | 61.29% |
@readthisplease | 52 | 32 | 61.54% | 50.00% | 61.54% | 38.46% |
@indayclara | 46 | 42 | 91.30% | 91.30% | 73.81% | 66.67% |
@nexo.digital | 45 | 24 | 53.33% | 51.11% | 47.83% | 26.09% |
@ayane-chan | 45 | 25 | 55.56% | 48.89% | 95.45% | 59.09% |
@hivesucre | 40 | 33 | 82.50% | 80.00% | 75.00% | 62.50% |
@laloretoyya | 37 | 32 | 86.49% | 86.49% | 62.50% | 53.13% |
By Total Referred
By Total Active
By First Month Active
By Second Month Active
By Third Month Active
In conclusion, the OCD onboarding initiative is doing really well in terms of user retention rates. It has improved substantially on its past performance, which was already better than the network averages. As before however, the challenge is scaling this kind of initiative up - the scale is not sufficient to drive Hive user growth overall and the rate of referrals has not grown in the last year.
If there's interest, I can also make some charts showing how the population of OCD onboarded users are doing on Hive.