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Analytics & Data
Tools and services that help new small businesses count, clean and understand what is happening, from shop-floor sales to website visits.
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About Analytics & Data
Every new business ends up with numbers: who walked in, who clicked, what sold on a rainy Tuesday. This category gathers the products and businesses that help you collect those numbers and make sense of them, whether that is a dashboard for a corner café or a research service for a studio finding its first customers.
You can browse the four subcategories below or stay on this page to see everything in one list. Use the filters to narrow things down. Listings appear newest first, so recent openings are easy to spot, and you can switch to sorting by community votes. Votes can never be bought, so the order reflects what visitors actually liked. Each listing sits in one main category, chosen by its founder when it was submitted.
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Analytics & Data: questions answered
- What belongs in Analytics & Data?
- Products and businesses whose main job is gathering, moving, analysing or asking about data. That covers usage tracking, reporting dashboards, data plumbing and survey tools. If analytics is only a minor feature of something else, it probably fits better in that product's own category.
- How do I choose between the subcategories?
- Start with your question. If it is about how people use your app or site, try product analytics. If it is about money, stock or performance, try business intelligence. If your data is scattered, look at pipelines. If you need answers from people, try 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. You choose one main category, included free. A paid upgrade adds more categories if your product spans several.
- How are listings ordered on this page?
- Newest listings come first by default, which suits anyone wanting to see who has just opened. Visitors can sort by community votes instead. Votes can never be bought, so a high position on that view has been earned by people liking the product.
- What should I look for when comparing data tools?
- Check what you can realistically set up and maintain yourself, what data you must hand over, and whether the output is something you will actually read each week. For a small team, a simple tool used regularly usually beats a powerful one left untouched.