As January is already coming to an end, it is the perfect time to wrap up 2025. Therefore, I want to share and analyze Strive Wrapped 2025 data.

Strive Gym Log wrapped

If you use Strive gym log, at the end of every year you can get your year at gym wrapped, similar to Spotify’s one. This year I polished the looks of it a lot and added a few new data screens, and also made it themed accordingly to your selected in app theme.

This year’s wrapped was watched 4959 times, almost 3 times as many as last year (1728)!

Let’s dig into the data!

Personas

Starting with personality, based on the data you collect in the app, I try to assign a gym persona to you. Here is the distribution table for this year.

Personality	Events	Percent 2026	Percent 2025
Average Gym Goer	3000	60.88%	58.9%
Chicken legs	875	17.76%	21.2%
Booty Builder	399	8.10%	5.8%
Early Bird	227	4.61%	8.9%
Powerlifter	168	3.41%	2.7%
Hybrid	82	1.66%	1.7%
Calisthenic	72	1.46%
Gymrat	35	0.71%
Night Owl	32	0.65%	0.9%
Runner	22	0.45%	0.3%
Cyclist	6	0.12%
Athlete	5	0.10%	0.1%
Machine	4	0.08%
Swimmer	1	0.02%

Still, seems like the criteria are still too specific cause 60% got the general one, which is same as last year, but maybe it should be like that.

A lot of people still skip legs, and I added a dedicated Calisthenic category this year, so this is not the reason why this group is so big!

3% raise of Bootybuilders which I guess are mainly women which is nice, probably cure themes do help in the end.

Shoutout to the one person who mainly swims but also lifts at the gym and uses my app!

Also shoutout to 4 machines, to get this category you would have to train for 50 consecutive days!

Finally, nice to see 82 hybrids as I consider myself a one too.

All in all, as you can see, the data distribution hasn’t changed that much, which is interesting and means that the last year’s sample was pretty accurate. The only significant change is probably becaus eof added marketing towards females.

Average workouts number

This year, I added a new metric to analytics, average number of workouts and the sum of kilograms lifted. The only issue is that I forgot to add a flag telling me whether user was using the app for the whole year. This, combined with a big influx of new users, makes this data kind of non-representative, but let’s have a look anyway.

Workouts Range	Events	Percentage
0-25	1400	28.99%
25-50	1100	22.77%
50-100	1400	28.99%
100-150	580	12.01%
150-200	198	4.10%
200-250	84	1.74%
250-300	25	0.52%
300-365	34	0.70%
400+	9	0.19%

Anything above 150 means you went to the gym more than ~3 times per week, which is, in my opinion, a pretty good result, especially taking into consideration holidays, ilness and normal life scenarios. Over 7% of users achieved that! I guess in 2026, when I add the flag, we will see the full picture.

Noone did 365-400 workouts, but 9 people did over 1 avg. workout daily, this is crazy, what a madlads!

Weight lifted volume

I’m not sure if we can pull out anything meaningful from it this year, maybe the next one!

Volume Range	Events	Percentage
0-50k	680	13.78%
50k-100k	469	9.51%
100k-200k	856	17.35%
200k-300k	565	11.45%
300k-400k	447	9.06%
400k-500k	388	7.86%
500k-600k	309	6.26%
600k-800k	400	8.11%
800k-1M	240	4.86%
1M-1.2M	167	3.38%
1.2M-1.4M	108	2.19%
1.4M-1.6M	70	1.42%
1.6M-2M	75	1.52%
2M+	160	3.24%

Failures and goals

The biggest fail was not including the flag saying if the user used the app for the whole year, I have to improve it the next time!

I love that the userbase is growing and the insight it can give us into the lifting community as a whole.

There was also a big improvement in the number of wrapped shares this year (445), so clearly it looked way better and was easier to share, which was my goal. Als,o a few reels and TikToks showing wrapped performed really well too, bringing me even more users.

Page 2 (year calendar view) and 9 (summary, bottom right corner) were the most shared ones.

To end up, here is my wrapped from this year!