DataLook
Privacy-first analytics that counts customers, not clicks
DataLook launched on August 11, 2026 with 2 votes, #5,788 of 23,274 launches that month.
What it does
Your analytics counts visits. DataLook counts customers. Pick what a real customer is — a signup, a sale, a booking — and every chart ranks your sources and pages by the customers they actually produced. • Counts the sales ad-blockers hide (server-side + first-party proxy) • Ask any chart a question in plain English — built-in AI • Live 3D globe of who's on your site now • Cookieless, no consent banner, 5-min install • Free forever, no card. Paid from $9/mo
Privacy-friendly analytics for small SaaS teams. Define success once, watch real conversions, install in 5 minutes.
Pick what a real customer is: a signup, a sale, a booking. The whole dashboard explains that one number. A live preview with simulated visitors. Your real dashboard looks exactly like this. Three steps, once. After that the dashboard is already answering the question you actually have. Paste one snippet into your site, or install the plugin. Works on Next.js, Rails, Shopify, WordPress. A signup, a sale, a booking, a filled form. Pick it once, change it whenever. One script tag, or the Script component if you are on Next.js. If it serves HTML, DataLook counts on it: no build step, no server changes. Pageviews, bounce, sessions: every other tool buries the one figure that pays the bills.…from datalook.app
Does a similar job
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Smartlook Qualitative Analytics2018 · smartlook.com · ▲165Free user recording, heatmaps and analytics for sites & apps
FullStory – Private-by-Default Mobile Analytics2020 · bionic.fullstory.com · ▲74Fullstory privacy controls for mobile app analytics now allow you to avoid collecting sensitive data and only get data you need.
Countly – Open-source mobile analytics platform2014 · github.com · ▲18Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments. - Countly/countly-server
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