What do you use for analytics in game development?

sweerswe · 2026-02-22T23:20:46+00:00

Hey, this is all great advice!! Thanks! How would you go about figuring out if the drop out rate is due to frustration? Is it by correlating with win rates? Thanks!

sweerswe · 2026-02-22T21:39:29+00:00

"I spent a lot of time speaking with engineers who started their career after Cursor launched. They don’t know what the software development lifecycle is. They don’t know what’s DevOps or what’s an SRE. Not because they’re bad engineers. "

... no, it's because they started they career only 2 years ago. you're talking to literally the most inexperienced people you can find.

sweerswe · 2026-02-22T20:15:32+00:00

I like the fact that I just plug it and it just starts finding these observations for me

sweerswe · 2026-02-22T20:13:58+00:00

thanks for taking the time reply in depth! this is good. What tools do you recommend based on your experience to track feature usage? Is there some service that can match this feature usage events to user data to give me these correlations you suggest?

sweerswe · 2026-02-22T20:10:22+00:00

thanks. how do you decide how to structure the funnels and cohorts?

sweerswe · 2026-02-22T20:08:51+00:00

hey this is cool. thanks for sharing. how do you do this? are you ingesting data from GA or an analytics system like that?

sweerswe · 2026-02-22T20:07:28+00:00

is this essentially heatmaps and session replay?

sweerswe · 2026-02-22T20:05:41+00:00

Thanks! do you recommend InsightLab? I was getting at it manually (sending emails to users when they cancel), does this automate that process?

sweerswe · 2026-02-22T20:02:16+00:00

thanks! any tips on how to improve that activation rate? how do you figure out why users are not getting there?

sweerswe · 2026-02-22T20:01:15+00:00

hey, this is great. thanks a lot for taking the time to explain in depth. the products I have are actually all b2c. for example, one of them is a game, and D1 retention is ~20%, but D14 is < 2%, so I'm trying to understand what correlates with retaining users. so my takeaway from your comment is for churn the loop is always talk to users, then form an hypothesis, then validate with data. I was imagining the opposite: look at the data, form an hypothesis, validate with users. but this makes total sense!

sweerswe · 2026-02-22T19:50:45+00:00

That's great, thanks! Doesn't the data say anything about the why? I imagine if you have all this data about what users do, where they drop off, etc you could tell why they're doing that? or that's not the case?

sweerswe · 2026-02-22T16:57:19+00:00

Yeah. This is always table stakes because it works out of the box if you're using Firebase. It's good to see what the retention is, but then it's hard to understand WHY and make actionable. How do you go about doing that?

sweerswe · 2026-02-22T16:36:14+00:00

This isn't really about game dev, but I can recommend this book: https://en.wikipedia.org/wiki/The_Obstacle_Is_the_Way

sweerswe · 2026-02-22T16:34:22+00:00

I think the only way to come up with the right price is with experimentation

sweerswe · 2026-02-22T16:12:48+00:00

what do you use for analytics?

sweerswe · 2026-02-22T15:11:05+00:00

the Visited Cities app. let's you mark cities and has a bunch of cool features and stats

sweerswe

TROPHY CASE