The best product analytics tools show how people use your app or SaaS product: which features they adopt, where they drop out of a flow and what keeps them coming back. Some focus on events and funnels, some add session replay, and some run directly on your own data warehouse. Ten options follow in no particular order.
Web analytics tells you how people found your site. Product analytics tells you what they did once they were inside your product, and that's where retention is won or lost.
The ten tools below are listed alphabetically and in no particular order, and every description comes from the vendor's own website, read this week. If you're new to the subject, my explainer on using product analytics is a gentle start.
Product analytics tools in one table
I checked the free plan column on each tool's own website, as of Oct 2026. Yes means the site names a free plan, a free version, a free account or an open source edition. Trial only means a time-limited trial. Not stated means the pages I read named neither, even where there's a button inviting you to try it, so check the vendor's page before you sign up.
| Tool | Type | Good for | Free plan |
|---|---|---|---|
| Amplitude | Product analytics platform | Product teams starting on a free plan | Yes |
| Fullstory | Digital experience analytics | Behaviour data across web and mobile | Not stated |
| LogRocket | Session replay and analytics | Linking bugs to user friction | Not stated |
| Mitzu | Warehouse-native analytics | Querying your own warehouse | Not stated |
| Mixpanel | Product intelligence platform | Measuring product and agent use | Not stated |
| PostHog | Product analytics suite | Engineers who want an all-in-one | Yes |
| Quantum Metric | Experience analytics | Enterprise digital experience | Not stated |
| Usermaven | Attribution and analytics | Marketing and product in one | Not stated |
| UXCam | Product analytics | Mobile and web app behaviour | Trial only |
| Woopra | Customer journey analytics | Journeys across touchpoints | Not stated |
Ten product analytics tools worth trying
Amplitude
Best for: Product teams who want product analytics with AI agents built in, and a free plan that covers up to two million events a month.
Fullstory
Best for: Digital teams who want behavioral data capture, product analytics, mobile analytics and in-app guides on one experience platform.
LogRocket
Best for: Engineering and product teams who want session replay, product analytics and error tracking together, with AI spotting what causes friction.
Mitzu
Best for: Data teams who want agentic product analytics that runs directly on their own data warehouse, with simple SQL they can check.
Mixpanel
Best for: Product managers who want a product intelligence platform that also measures the impact of the AI agents they build for customers.
PostHog
Best for: Developer-led teams who want product analytics, session replay and feature flags in one platform, each with its own free tier.
Quantum Metric
Best for: Large digital businesses who want to see where customers struggle, what to fix first and whether the change worked.
Usermaven
Best for: Marketing-led SaaS teams who want product analytics, funnels and user journeys alongside multi-touch attribution in one tool.
UXCam
Best for: App teams who want product analytics that answers questions about user behaviour directly, with a free trial to start.
Woopra
Best for: Teams who want customer journey and product analytics that show what keeps customers coming back, with no SQL required.
Where to begin
- Starting on a free plan: Amplitude or PostHog.
- Analytics on your own warehouse: Mitzu.
- Linking bugs to user friction: LogRocket or Fullstory.
- Mobile app behaviour: UXCam.
- Marketing and product in one view: Usermaven or Woopra.
- Large digital businesses: Quantum Metric.
- Measuring AI agents you ship: Mixpanel.
In the UK, analytics tags need a consent plan
The ICO's guidance on cookies and similar technologies says you must tell people if you set cookies, clearly explain what the cookies do and why, and get the user's consent. It lists an exception for cookies that are essential to provide an online service at someone's request.
Most product analytics tools set cookies or use similar storage, so plan consent before you add the tag. The ICO also says it's consulting on revised guidance on storage and access technologies, so check the page again before launch rather than relying on an old checklist.
Events, replays or the warehouse?
Event-based analytics counts what users do, then builds funnels, retention curves and cohorts from those events. It's the core of the category and where most teams start. Once those retention curves show customers leaving, the next thing to compare is tools made to reduce churn instead of guessing at fixes.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
Session replay shows recordings of real sessions. It's slower to review, but it explains why a funnel step fails in a way a chart can't.
Warehouse-native tools read data you already hold in your own warehouse. They suit teams with a data engineer and a single source of truth, and they avoid copying data into yet another system.
If you're down to two names, see Amplitude compared with Mixpanel.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Questions for your product team
- Which three questions do we most need answered?
- Who will set up and maintain the tracking plan?
- Do we need session replay as well as charts?
- Should the data stay in our own warehouse?
- How will we handle consent for the tags?
- Can we see results by customer account, not just user?
If you've set up product analytics for a software team, you could turn what you learned into a SaaS article for my blog.
Signs you need product analytics
- You can't say which features people use. Track key events.
- Trials don't convert and nobody knows why. Build a funnel.
- Churn surprises you. Watch retention by cohort.
- Bug reports are vague. Add session replay.
Do you make product analytics or SaaS tools? Tool makers can ask to be considered for a featured place on this list.
My plain advice on product analytics tools
Write a short tracking plan before you install anything: the five events that matter, named clearly. Teams that track everything end up trusting nothing, and a tidy plan makes any of these tools useful from week one. Already weighing a self-hosted favourite against the field? Browse other product analytics tools before you commit.
Then pick the tool your team will open every day, not the one with the longest feature list. To see how people move around your pages too, my roundup of heatmap tools fills that gap.
I run AI training and workshops for teams, and help businesses with AI enablement and workflow automation, so the busywork runs itself and people get time back. Most of that work is with SaaS marketing teams and small businesses. Here's how we can work together.
Frequently asked questions
What are product analytics tools?
They're tools that track how people use a digital product, such as which features they use, where they drop out and what keeps them returning.
How is product analytics different from web analytics?
Web analytics focuses on traffic and acquisition. Product analytics focuses on behaviour inside the product, such as activation, feature use and retention.
Do product analytics tools need cookie consent in the UK?
The ICO says you must get consent for cookies unless they're essential to provide a service someone asked for, so most analytics tags need a consent plan.
Are there free product analytics tools?
Yes. Several platforms offer free plans or free tiers that suit early-stage products.
What is warehouse-native product analytics?
It's analytics that runs directly on data stored in your own data warehouse, rather than copying it into a separate tool.
Is session replay part of product analytics?
Often. Many tools combine replays with funnels and events so you can see why users get stuck.
