Product analytics
How users move through your product — signups, activation, engagement and conversion.

Funnel analysis: how to find and fix where visitors drop off
The method for measuring a multi-step journey: defining the steps, reading the drop-offs, segmenting before concluding, and deciding which leak to fix first.

What is digital analytics?
The umbrella over web, product, marketing and experience analytics - what the term actually covers, why the field renamed itself, and which of the four you need for the problem in front of you.

Web analytics vs product analytics: which one do you need?
One watches strangers arrive at your site, the other watches signed-in users stay or leave. Where the line between the two actually sits - and how to tell which side your questions live on.

What is website behavior analytics?
The analytics layer that watches what visitors do on the page - heatmaps, replays, funnels, frustration signals - rather than counting how many arrived. What it covers, and what the security industry means by the same phrase.

What is product analytics? A plain-English guide
Web analytics watches how strangers find your site; product analytics watches whether signed-in users stay. What the term covers, the concepts behind it, and when a site actually needs it.

How to add analytics to a Replit app
The built-in telemetry, Google Analytics, or a lighter tool — three ways to see what people actually do in a Replit app, with the exact steps for each.

What is a conversion funnel? Finding where visitors drop off
The path a visitor takes from arriving to converting, and the report that shows where they quit. How to pick the steps, build the funnel, and read the drop-offs honestly.

How to add analytics to a Lovable app
The built-in dashboard, Google Analytics, or a lighter tool — three ways to find out what visitors do in a Lovable app, with the exact steps for each.
DAU/MAU (Stickiness Ratio)
The share of monthly active users who show up daily — how to read stickiness, and what counts as good for SaaS.
What is a good trial-to-paid conversion rate?
Trial conversion benchmarks by signup motion — why freemium at 3% and card-up-front at 40% can be the same quality funnel.
What is a good activation rate?
Activation benchmarks by product complexity — why 30% can be world-class, and the definition trap that makes most comparisons meaningless.
Time to Engaged
Signup to the second value milestone — where trying the product turns into relying on it.
Time to Activated
How fast a new signup reaches first value — and why speed to the aha moment decides everything after it.
Trials Started
A stronger intent signal than a raw signup — the bridge between the funnel top and paying customers.
Signups
The top of the funnel — a denominator for every rate below it, and a vanity number on its own.
Trial-to-Paid Conversion Rate
The share of trials that become paying customers — the sharpest read on whether your trial proves its value.
Activation rate
Why the percentage of users who reach value matters more than total signups.
New MRR
The recurring revenue from first-time customers — the cleanest read on whether acquisition is working.
Conversion Rate
Why signup-to-paid conversion is meaningless without cohort context — and the definition we recommend.