Mixpanel
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Amplitude
Mixpanel vs Amplitude: Which Is Right for You?
Mixpanel and Amplitude are the two most directly compared product analytics platforms in the market — and they have been competing for the same product and growth teams for over a decade.
Both have grown considerably broader. Amplitude now bundles session replay, feature flags, A/B experimentation, in-app guides, and surveys alongside its analytics. Mixpanel has added session replay and is expanding its AI capabilities. Both have generous free tiers for early-stage teams.
The most durable difference between them remains philosophical: Mixpanel is a focused analytics tool that does event-based analysis exceptionally well, with transparent per-event pricing that scales predictably. Amplitude is a broader platform that invests more heavily in ML-powered predictive analytics, behavioral cohort modeling, and in-app guidance — with MTU-based pricing that can become expensive at scale.
About
Mixpanel
Mixpanel is a product analytics platform built for product and growth teams who want best-in-class event-based behavioral analysis — funnels, retention, flows, and cohort analysis — in a focused tool that does analytics exceptionally well without bundling adjacent features that add complexity.
It is primarily used by product managers, growth teams, and data analysts at software companies ranging from seed-stage startups to enterprises like Uber and Netflix, who need to understand user behavior in depth and build reports non-technical stakeholders can use without SQL.
Teams choose Mixpanel for its self-serve analytics that lets non-technical team members build funnels and retention reports without SQL; its Spark AI for natural-language querying of analytics data; its best-in-class funnel and cohort analysis; and its generous free tier of 1 million events per month.
Growth plan pricing: free for the first 1M events/month, then $0.28 per 1,000 events above that. At 10M events/month, costs reach approximately $2,500/month. Session replay, feature flags, and group analytics are available but billed separately.
About
Amplitude
Amplitude is a product analytics platform built for product, growth, and data teams who need sophisticated behavioral analysis — behavioral cohorts, predictive audiences, causal inference, and ML-powered retention modeling — alongside session replay, feature flags, and experimentation in a unified platform.
It is primarily used by product managers, growth engineers, and data analysts at SaaS companies, consumer apps, and digital businesses where product-led growth is a core strategy — teams that need to tie behavioral data to business outcomes at scale.
Teams choose Amplitude for its best-in-class behavioral cohort analysis and retention modeling; its Amplitude AI for predictive audiences and automated insight generation; its built-in experimentation with statistical significance controls; its Guides for in-app onboarding; and its data governance features for enterprise deployments.
Free tier: 10,000 MTUs and 2M events/month, including session replay and unlimited feature flags. Plus: $49/month (up to 300K MTUs). Growth and Enterprise: custom pricing; median contract $63,720/year per Vendr data.
Feature | Mixpanel | Amplitude | Lucky Orange |
|---|---|---|---|
Product Analytics (funnels/retention/cohorts) | Yes | Yes | Limited |
Session Replay | Yes | Yes | Yes |
A/B Testing / Experimentation | Limited | Yes | No |
Feature Flags | No | Yes | No |
In-app Guidance | No | Yes | No |
Surveys & Feedback | Limited | Yes | Yes |
Data Warehouse Export | Limited | Yes | Limited |
AI-Powered Insights | Yes | Yes | Yes |
Open Source / Self-host Option | No | No | No |
Free Plan | Yes | Yes | Yes |
Mixpanel tells you where users dropped off. Amplitude tells you which cohort churned. Do you know what those sessions looked like?
Mixpanel and Amplitude are both built to tell you what happened at the aggregate level — funnel drop-offs, cohort retention, behavioral patterns across your user base. That aggregate picture is essential for good product decisions. But the session behind the metric — what the user was actually doing when they dropped off, what they clicked, where they hesitated — requires a different layer of analysis.
Lucky Orange Discovery AI bridges the aggregate and the individual. Ask a plain-language question about the sessions behind your product metrics — what churned users do differently, what the sessions before activation look like, what patterns your retention curves cannot explain — and get a structured answer with session evidence and a recommended next step.
Ask questions like:
What are users doing in their sessions in the week before they stop logging in?
Which product features are users trying but failing to use successfully in their first three sessions?
What behavior in the onboarding flow correlates most strongly with users who expand to a paid plan?
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