I turned off Google Analytics, because I realized that it doesn't actually report any useful or actionable data, just vanity metrics, and many of them of dubious quality. I run a SaaS and what matters for me is paid subscriptions. "Visits" (even if by humans, which is hard to tell) really do not matter much. Yes, I do want to increase conversion rates, and run bandit experiments, but I'm better off doing that myself.…
> I realized that it doesn't actually report any useful or actionable data The actionable part never occurred to me, but makes so much sense. What action could anyone really take, based on the data presented by Google Analytics? On top of my head I can actually think of anything you could easily get from server logs.
Lightweight Alternatives to Google Analytics
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Re: Lightweight Alternatives to Google Analytics
#52Here is my research: https://til.marcuse.info/webmaster/alt-analytics.html
I ended up going with GoatCounter.
Re: Lightweight Alternatives to Google Analytics
#53Earlier quoted context omitted.
> I realized that it doesn't actually report any useful or actionable data The actionable part never occurred to me, but makes so much sense. What action could anyone really take, based on the data presented by Google Analytics? On top of my head I can actually think of anything you could easily get from server logs.
I find time spent on page is a great way to measure performance of redesigns on page. There are numerous actionable points.
1) That you actually care about this metric. I don't, I do not get paid by the number of minutes spent on pages, I get paid by the number of signed-up subscribers who use my software to make their workflow easier. I can (and prefer to) use bandit testing to measure the performance of redesigns.
2) that it can be reliably measured, which I don't think it can.
Re: Lightweight Alternatives to Google Analytics
#54Fathom analytics and simple analytics cost ~100$/year.
Plausible costs ~50$
I really liked and almost settled with plausible but I just saw goatcounter right now. It's free for personal / open source projects. That's so nice for small projects like many people here are building.
Re: Lightweight Alternatives to Google Analytics
#55I still get monthly emails from Google about the analytics for this website. Apparently it's getting 200-300 visitors per month still. I have replied back to Google vie email about this several times but never heard any reply. I wonder what site they are tracking?
Re: Lightweight Alternatives to Google Analytics
#56Re: Lightweight Alternatives to Google Analytics
#57TIL about European Union Public License: https://joinup.ec.europa.eu/collection/eupl/introduction-eup... OSI-certified, copyleft, non-viral, GPL-compatible, SaaS-aware, multilingual
how can it be both copyleft and non viral? isn't vitality a definitive feature of copy left?
Re: Lightweight Alternatives to Google Analytics
#58If you decide to migrate off GA, there's very little reason to not use self-hosted analytics. The only case when you'd get better analytics from a _service_ is exactly a GA-like setup that can track people as they go from one website to another. That is, the real value of an analytics service is derived directly from its ability to invade people privacy, at scale. Granted, migrating to another service is usually simp…
Server logs only tell you about things that happen on your server. If you are using JavaScript it's likely there are plenty of events that might be valuable to you that never leave a trace in your logs. For example, if you validate forms with JS you might want to track form submissions and validation errors.
Re: Lightweight Alternatives to Google Analytics
#59Earlier quoted context omitted.
I find time spent on page is a great way to measure performance of redesigns on page. There are numerous actionable points.
It might be, assuming two things: 1) That you actually care about this metric. I don't, I do not get paid by the number of minutes spent on pages, I get paid by the number of signed-up subscribers who use my software to make their workflow easier. I can (and prefer to) use bandit testing to measure the performance of redesigns. 2) that it can be reliably measured, which I don't think it can.
With regards to point two, being reliably measured sounds to me like perfection is the enemy of adequate. Perhaps in low volumes you can't measure certain stats like this reliabily but in large volumes I think it's useful.