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Analytics & Data

Tools and services for counting, measuring and understanding what your product is doing, built by small teams who ship before they scale.

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Community votes come from members and cannot be bought. DR is Domain Rating by Ahrefs.

About Analytics & Data

Analytics & Data is where the counting happens. Dashboards, event trackers, pipelines that move numbers from one place to another, survey tools that ask people what they actually think. Most of what lands here is made by indie and bootstrapped makers, so expect tools sized for a small team with a small budget and a lot of questions.

This page lists the products and businesses in the category and its four subcategories, with filters to narrow things down. Listings appear newest first, and you can sort by community votes instead. Votes can never be bought, so the order you see is earned, not paid for.

If you are choosing, start with the question you need answered, not the tool. Pick a subcategory, read the profiles, and check what each product collects, where the data sits and how easily you can get it back out.

Browse Analytics & Data by type

Analytics & Data: questions answered

What belongs in Analytics & Data?
Anything whose main job is collecting, moving, analysing or asking for data. That covers event tracking, reporting dashboards, pipelines, and survey or research tools. If a product only has a small reporting tab, it probably belongs in its own field instead.
How do I choose between the subcategories?
Work from your question. Wondering what users do inside your app? Try product analytics. Need company-wide reporting? Business intelligence. Data stuck in separate systems? Pipelines and ETL. Need answers straight from people? Surveys and research.
How do I get my product listed here?
Go to /submit and paste your website address. An AI drafts the profile from your site, then you check and edit every field before anything goes live. Pick this category as your one main category, which is included free.
Can a product appear in more than one category?
Every listing has one main category, chosen at submission. A paid upgrade adds up to 3 more categories for $5, which suits tools that straddle, say, pipelines and business intelligence.
What should I compare when looking at data tools?
Check what data is collected, where it is stored, how you export it, and how the tool copes as your volume grows. Look at the setup effort too. A tool you never finish installing tells you nothing.

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