See who shows up. See who becomes a customer.
What counts as success for you?signups
Plausible tracks visits. Mixpanel tracks everything. Neither tells you which traffic source actually converted. DataLook does — define your success event in 30 seconds.
No credit card · No cookies · 5 minutes to first signup
Works with the stack you already ship on
The dashboard
Visitors
12,841
+24%
Signups
317
+38%
Conv. rate
2.47%
+0.4%
Sessions
8,902
+19%
Real signups this week
Real numbers, not vanity ones
0M+
Events tracked
0
Sites in beta
0ms
p95 ingest latency
0
Languages on day one
Plausible and Fathom show you visits, but treat a bounce and a signup the same.
Mixpanel and Amplitude can model success, but they cost more than your hosting and were built for product teams of twenty.
You wanted to know what's working. You ended up debugging UTMs.
Different on purpose
Most analytics dashboards greet you with pageviews. DataLook greets you with conversions — the only number that actually changes your week.
Pick one anchor — a signup, a purchase, a booking — and the whole dashboard reports against it.
FEATURES
Every card here is a single decision you can make in under a minute. No funnels you have to draw, no dashboards you have to maintain.
Define what 'a real customer' means once — a URL match, a button click, or a one-line code call. Every chart on the dashboard reports against that single anchor. The day you change your mind, you redefine it in 30 seconds and everything reshapes.
See how success events work
Most acquisition reports show traffic. DataLook shows you which traffic converted. Sources are ranked by real conversion rate, not visit count — so the channel that brought 12 visitors and 4 signups beats the one that brought 1,200 visitors and 0.
Preview the acquisition view
Your backend already knows when someone actually paid. Send that confirmed conversion straight to DataLook over HTTPS with a Bearer token. Twelve runtime snippets included — curl, Node, Python, Ruby, Go, Rust, PHP, and more.
Read the server-events docs
A small live-tick counter shows visitors arriving in real time — without a five-second WebSocket interval that hammers your phone. It updates when something interesting happens, then quiets down so you can keep working.
Watch the live tick
DataLook is what an analytics tool looks like when it's built by two people who hate dashboards as much as you do.
Paste one script tag into your site head. Auto-tracking starts immediately.
Pick the URL, button, or code call that means 'a real customer'. Stack more later.
Dashboard shows who showed up, where they came from, and which became real signups.
How is it better than Plausible?
Plausible counts visits. Mixpanel counts events. GA4 counts everything and explains nothing. DataLook counts the one thing that pays your rent: real customers. Everything else on the dashboard is context for that single number.
“I stopped opening five tabs every morning. Now I open DataLook, see the conversion number, and close the laptop. That's the entire workflow.”
Solo founder, beta cohort
Verbatim from the DataLook beta intake form
↓ Full side-by-side comparison below
Plausible is great at pageviews. Mixpanel is great at everything. DataLook is great at the one thing that matters: real conversions.
| What you actually need | DataLook | Plausible | Mixpanel |
|---|---|---|---|
| Cookieless by default | Always | Always | Configurable |
| Define what a 'real customer' is | Built around it | Goals (limited) | Events (complex) |
| Server-side events out of the box | 12 runtime snippets | Plan-gated | Yes (SDK setup) |
| Ad-blocker-immune | First-party proxy | Manual | Manual |
| Flat monthly price | $10 | $9 | Usage-based |
| Time to first signal | 5 min | 10 min | Hours |
Honest pricing
One flat plan. No event-based surprises. Soft cap with an email at 80%, never a hard cutoff.
Beta is free. Pricing kicks in after we exit beta.
One line in your <head>. We do the rest.
<script defer src="https://cdn.your-domain.com/s.js" data-site="YOUR_SITE_ID"></script>Honest answers from the two people who'll read your support email.