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Amplitude is a product analytics platform built for product and growth teams. Unlike Google Analytics, which centers around sessions and pageviews, Amplitude organizes everything around events and users: what they do, in what order, and why they drop off.
Founded in 2012, Amplitude handles data for over 2,000 companies including brands like Atlassian, Walmart, and Booking.com. Its strength is the ability to build funnel, cohort, and retention analyses without writing SQL or relying on a data team.
For any conversion rate optimization strategy, having granular visibility into user behavior is the first step. Amplitude provides that visibility.
Amplitude records every user action as an event with properties. An event can be "add_to_cart" with properties like product_id, price, category, and source. This structure allows you to analyze behavioral patterns in great detail without the constraints of the traditional session model.
Amplitude's funnels let you define event sequences and measure conversion between each step. Unlike GA4 funnels, Amplitude allows you to:
Cohorts group users by shared behavior. You can create cohorts like "users who added to cart but didn't purchase in the last 7 days" and export them to activation tools like Klaviyo or Braze for recovery campaigns.
The retention analysis shows what percentage of users return after their first interaction. Amplitude lets you differentiate between usage retention (returns to the product) and purchase retention (returns to buy), which is critical in eCommerce.
| Feature | Amplitude | Mixpanel | PostHog | GA4 |
|---|---|---|---|---|
| Data model | Events | Events | Events | Sessions + Events |
| Advanced funnels | Excellent | Good | Good | Basic |
| Native retention | Yes | Yes | Yes | Limited |
| Session replay | Yes (add-on) | No | Yes | No |
| Free plan | Up to 50M events/month | 20M events/month | Unlimited self-hosted | Unlimited |
| Learning curve | Medium | Medium | Medium-High | Low |
If you already use PostHog or Mixpanel, Amplitude won't always be a step change. Its advantage shows for product teams that need collaborative notebooks, integrations with experimentation tools, and enterprise-scale data governance.
Set up a funnel from landing page to completed purchase. Segment by device, traffic source, and user type (new vs returning). The largest drops between steps tell you where to prioritize tests.
Before launching an A/B test, use Amplitude to confirm the problem exists with data. If you think checkout has friction, first measure the actual drop and segment by cohort. Many hypotheses get discarded before spending traffic on a test.
After an experiment, Amplitude lets you measure not just direct conversion but secondary metrics: 7-day retention, average order value, and return rate. This prevents optimizing one metric at the expense of another.
In eCommerce CRO projects, we combine Amplitude data with session replay tools like FullStory or Microsoft Clarity to get the full picture: what users do (Amplitude) and why they do it (replay). This combination cuts diagnostic time and increases test win rates.
Amplitude is the go-to tool when you need to understand user behavior beyond pageviews. For CRO teams, it's especially useful for prioritizing where to test, validating hypotheses with data, and measuring the real impact of experiments.
If you're looking to improve your conversion metrics with data, a good starting point is a professional CRO audit that identifies exactly where revenue is leaking in your funnel.
Adrià Vidal — CRO & Digital Strategy at Boost
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