Amplitude is a leading product analytics platform that helps companies understand user behavior, measure feature impact, and build better digital products. It tracks user events, funnels, retention, and cohorts in real-time — enabling data-driven decisions without needing data science expertise. Amplitude is used by product managers, growth teams, and engineers at companies like Dropbox, Ford, and Peloton.
Amplitude
Product analytics platform for understanding user behavior — the tool product teams use to make data-driven decisions about feature development and growth.
Best for: Product managers and growth teams at B2C and B2B SaaS companies that need to understand user behavior, measure feature adoption, and optimize retention — especially teams making product decisions on data rather than intuition
- Free plan
Starts at
Free (1M events/month)
Opens the official website in a new tab.
The editorial note
What to know about Amplitude
Is it right for you?
Who Amplitude suits
Choose it if
- Product managers and growth teams at B2C and B2B SaaS companies that need to understand user behavior, measure feature adoption, and optimize retention — especially teams making product decisions on data rather than intuition
Look elsewhere if
- Small teams with limited engineering resources — Mixpanel or PostHog (open-source) offer simpler and more affordable alternatives
What you get
Key features
- Event tracking and funnel analysis
- Retention analysis — track how users return over time
- Cohort segmentation by behavior
- Pathfinder — visualize user navigation paths
- A/B testing and experiment analysis
- Revenue analytics and LTV tracking
- Session replay (via Amplitude Session Replay)
- Data warehouse sync and reverse ETL
Works with
Integrations8
What it costs
Pricing
| Plan | Price | What it includes |
|---|---|---|
| Free | Free (1M events/month)Billed monthly | Core analytics for up to 1 million monthly tracked events |
| Plus | $49 / monthBilled monthly | Advanced funnels, cohorts, and up to 10 million events |
| Growth | Contact sales | Custom event limits, A/B testing, and data governance |
Prices are recorded from the vendor's public pricing page and can change. Check before you buy.
The trade-off
Pros and cons
Pros
- Best-in-class funnel, retention, and cohort analysis for product teams
- Real-time event tracking without SQL — accessible to non-technical PMs
- Behavioral cohorts enable highly targeted A/B tests and experiments
- Data Explorer lets you query raw event streams for deep investigation
- Generous free plan — up to 10M monthly tracked events
Cons
- Can become expensive at scale — enterprise pricing is not transparent
- Steep learning curve for advanced analyses like impact analysis and pathfinder
- Chart types are limited compared to BI tools like Looker or Tableau
- Data warehouse sync requires paid plans
Quick read
At a glance
- Category
- Marketing & SEO
- Pricing model
- Freemium
- Entry plan
- Free (1M events/month)
- Free plan
- Available
- Free trial
- Not listed
- Website
- amplitude.com
The verdict
Our take on Amplitude
Amplitude is the leading product analytics tool for companies serious about data-driven product development. The free plan is sufficient for early-stage products. The funnel, retention, and cohort analysis capabilities are best-in-class. Mixpanel is a close competitor with a simpler interface; PostHog is an open-source alternative worth evaluating for teams that want full data ownership. Choose Amplitude when you have a dedicated analytics or data team to get the most from its capabilities.
Editorial review
From the journal
Editorial review of Amplitude
Amplitude is the leading product analytics tool for companies serious about data-driven product development. The free plan is sufficient for early-stage products. The funnel, retention, and cohort analysis capabilities are best-in-class. Mixpanel is a close competitor with a simpler interface; PostHog is an open-source alternative worth evaluating for teams that want full data ownership. Choose Amplitude when you have a dedicated analytics or data team to get the most from its capabilities.
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