GA4 alternatives, compared on the things teams actually complain about
Data retention, sampling, event modelling and the reporting UI. Four criteria that decide whether a migration is worth it.
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Measurement tooling has spent several years absorbing privacy changes, and the results are uneven across the category.
Data retention, sampling, event modelling and the reporting UI. Four criteria that decide whether a migration is worth it.
What actually matters
The criteria below are the ones worth applying to anything in this category, whichever product you end up choosing. They focus on GA4, reporting — plus the two figures vendors rarely lead with: how long it takes to get to a first useful action, and what the tool costs per problem it actually resolves.
How to evaluate this properly
Every vendor in this space models something. The useful question is not whether the numbers are modelled but whether the modelling is documented and directionally stable.
- Capability — what the tool finds or produces, measured against a known baseline rather than against the length of its own report.
- Prioritisation — whether the output separates the urgent from the cosmetic without you configuring it to.
- Time to first useful action — from signup to the first change you make because of the tool.
- Cost per resolved issue — the figure a finance team will ask about, and the one most vendors omit.
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Where that leaves you
The honest summary for most categories like this one is that the leading options are genuinely capable and the middle of the market is fairly interchangeable. If you already pay for something in the top tier, the case for switching is usually weak. If you are in the middle, you may be paying for breadth you never use.
Decide what decision the data has to support before choosing the tool that produces it.
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