Topic
Product Analytics
Product analytics for SaaS teams: choosing software, planning the events you track, and reading funnels and user paths to decide what to build next.
Product analytics answers a different question from web analytics. Web analytics counts visits and where they came from; product analytics follows what people do once they are inside the product: which features they adopt, where they stall, and what the users who stay have in common. It is the evidence behind onboarding changes, pricing pages and roadmap bets.
The articles here follow the order most teams set it up in: choose software by the decisions you make every week, plan a small set of well-named events, build the first funnels, then use path analysis to see the routes people actually take instead of the ones you designed. Each step is useful on its own, and none of them needs a data team to get started.
Reading order
Where to start
- What product analytics software should show a SaaS team first
Start with the choice of tool, framed by the decisions your team repeats every week rather than by a feature checklist, plus the metrics that mislead.
- What event tracking is, and which events are actually worth tracking
Then the tracking plan: name events after outcomes, keep the list to ten or twenty, and check each one before anyone builds a chart on it.
- What an onboarding funnel is, and how to define its steps
The first funnel most SaaS teams need: the steps between signup and activation, and where they usually break.
- User path analysis: the routes people actually take
Once funnels are in place, paths show what happened outside them: the routes people actually took, where they looped back, and where they left.
- Is there a free analytics platform with session replay, heatmaps and surveys in one?
If you are weighing one platform against several tools, this compares the usual options and what a free all-in-one plan should include.
Product Analytics
Every article on this topic
Is there a free analytics platform with session replay, heatmaps and surveys in one?
The short answer, what all-in-one should actually include, and how the usual options compare.
What an onboarding funnel is, and how to define its steps
A signup is a conversion, not an activation. The difference decides which steps belong in the funnel and which number you should actually watch.
What event tracking is, and which events are actually worth tracking
An event is not a click you recorded — it is a decision about what deserves a name. Naming, counting, and the ten-to-twenty rule.
User path analysis: the routes people actually take
What user path analysis is, how a path report is built, and how to read entries, transitions and exits to find the routes users really take.
What product analytics software should show a SaaS team first
A practical checklist for choosing product analytics software: web analytics, activation funnels, session replay, heatmaps, and feedback in one workflow.
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