Mixpanel and Amplitude are product analytics platforms: tools that track what individual users do inside a software product, app or logged-in service, so you can see which features they use, where they get stuck and whether they come back. They are usually compared with each other because they do broadly the same job, and both are compared with GA4 because people wonder whether they need all three.
How Mixpanel and Amplitude work
Both tools are built around events tied to users. You send an event each time someone does something meaningful, such as “project_created”, “invoice_sent” or “plan_upgraded”, along with properties describing it. Each event is linked to a user profile, first anonymously and then, once the person signs up or logs in, to a known user ID so their history joins up across devices.
From that event stream they build:
- Funnels showing how many users move through a sequence, such as sign-up to first invoice sent.
- Retention charts showing how many users come back and repeat a key action in later weeks.
- Cohorts Groups of users who share a trait or behaviour, which you can compare or export.
- Path analysis showing what users do before or after a given action.
Data usually arrives through software development kits in the app or website, from your server, or from a customer data platform. Both offer free plans with volume limits at the time of writing (October 2026), with paid plans priced on events or tracked users.
Why it matters
GA4 is strongest at marketing questions: which channels bring visitors and which visits convert. It is weaker at product questions: which users activate, which features predict that someone will stay, and why a cohort from March churned faster than one from January. For a UK SaaS company, subscription app or online platform, those product questions often decide revenue more than acquisition does. A product analytics tool lets the product and marketing teams see the full journey from first visit to paying, retained customer.
For most small service businesses and simple online shops, they are unnecessary. GA4, a CRM and a tool like Clarity cover the useful questions.
Data protection needs attention. These tools often handle identified users, so UK GDPR applies fully. Both vendors are US companies offering EU data residency at the time of writing; check where your data will be stored, what transfer mechanism covers any transfer outside the UK, and whether tracking on your marketing website needs cookie consent under PECR. It usually does.
Common mistakes
- Tracking hundreds of events with no measurement plan, so nobody can find the ones that matter.
- Inconsistent event names between web and app, splitting the same action in two.
- Getting identity wrong, so a user who signs up on a laptop and logs in on a phone appears as two people.
- Sending personal data such as full names or email addresses as event properties without a reason and a lawful basis.
- Running GA4 and a product tool side by side with different definitions of a conversion, then arguing about which is right.
How to act on it
- Write down the product questions GA4 cannot answer for you. If the list is short, you probably do not need either tool yet.
- Define the handful of events that represent activation and ongoing value, and agree names before implementation.
- Plan identity: when an anonymous user becomes known, and which ID links them.
- Check data residency, the vendor’s data processing terms and your consent set-up before any data flows.
- Decide which tool is the source of truth for which number, and document it.
Choosing which analytics tools a business needs, and how they fit together, is part of the digital marketing strategy and consulting work I do, particularly for software companies where retention matters as much as acquisition.