Analytics tools, surveyed by category
Four categories, each judged on the handful of things that actually decide which tool you should use. We are in every table, with our weaknesses stated.
Product analytics platforms
Product analytics tools all promise funnels, cohorts and retention. The difference that matters is what they count.
Compare 7 toolsWeb analytics tools
Most teams arrive here because GA4 is not answering the question they have. Before comparing feature lists, it is worth being clear about the three things that actually limit a web analytics tool: whether it samples your data, how long it keeps it, and whether it can tell that two visits were the same person..
Compare 7 toolsMarketing attribution software
Attribution arguments are rarely about the model. They are about the lookback window.
Compare 6 toolsMarketing analytics tools
A marketing analytics tool earns its cost the moment it can tell you which channel produced customers rather than clicks. That is a higher bar than it sounds: it requires the tool to hold the person from first touch through to revenue, across sessions and devices, for longer than the sales cycle..
Compare 7 toolsAI analytics tools
Every analytics vendor now claims AI. The useful question is what the AI is allowed to do.
Compare 7 toolsThe AI category moves fastest, so the thinking behind it lives on its own page: what agentic marketing actually is, and what it runs on. Already leaving a specific tool? Start from the alternatives pages.
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