StatsKit

Web analytics + A/B testing to find and fix revenue leaks

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Added Jul 2026

statskit.ai

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What is Statskit?

StatsKit is a cookieless web analytics platform that combines visitor tracking with built-in A/B testing and experimentation tools. It identifies where visitors drop off in the conversion funnel and provides AI-suggested experiments to fix revenue leaks. Designed for SaaS and e-commerce teams who need to see problems and act on them with real-time data.

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Key Features of Statskit

Cookieless web analytics
Funnel tracking to identify drop-off points
Click heatmaps and scroll depth visualization
A/B testing and pricing experiments
Bayesian sequential testing
Revenue-weighted variant analysis
AI-suggested test ideas
One-click experiment launch
Real-time conversion tracking
Visitor journey mapping

Who Should Use Statskit?

Identify where visitors drop off in conversion funnel

Run pricing experiments to optimize revenue per visitor

Test landing page copy and CTAs

Measure heatmaps to understand user behavior

Optimize paywall and signup flows

Find and fix revenue leaks before they compound

Statskit: Pros & Cons

✓Pros

Shows not just what happened, but what to change
One script integrates analytics and experiments
AI proposes test ideas automatically
Bayesian sequential testing for faster significance
Revenue-weighted results instead of just conversion metrics
Cookieless alternative to Google Analytics
Simple one-click test deployment

Frequently Asked Questions about Statskit

What makes StatsKit different from Google Analytics?

StatsKit is cookieless and combines analytics with built-in A/B testing. It shows you not just what happened, but proposes experiments to fix revenue leaks and ships the winner in real revenue.

How much does StatsKit cost?

Plans start at $5/mo, with a 7-day free trial available. You can cancel anytime.

How does StatsKit help identify revenue problems?

It tracks your entire funnel from landing to payment, showing exactly where visitors drop off. It then uses AI to suggest high-impact experiments you can launch with one click.

What kind of experiments can I run?

You can run A/B tests on pricing, landing page copy, CTAs, paywall designs, and any other page element. StatsKit uses Bayesian sequential testing with revenue-weighted analysis.