Last Updated: March 19, 2026 Our Verdict: Amplitude is the most powerful product analytics platform for teams that need to understand user behavior in depth. Its behavioral cohorts, funnel analysis, and retention tracking go far beyond what Google Analytics or basic event trackers can do. The generous free tier (up to 50M events/month) makes it accessible to startups, while enterprise features scale to massive products. The learning curve is real, and you need clean event data to get value — but for product-led companies, Amplitude is the analytics foundation everything else builds on. | Rating: 8.5/10
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Quick Summary
| Best For | Product teams at SaaS companies and digital products who need deep behavioral analytics |
| Pricing | Free (50M events/mo); Growth and Enterprise plans custom-priced |
| Free Plan/Trial | Yes — exceptionally generous free tier with core analytics features |
| Our Rating | 8.5/10 |
| Key Strength | Behavioral cohorts and funnel analysis that reveal exactly where users convert or drop off |
| Biggest Weakness | Requires deliberate event instrumentation — garbage data in means garbage insights out |
What Is Amplitude?
Amplitude is a product analytics platform that helps companies understand how users interact with their digital products. Founded in 2012 by Spenser Skates and Curtis Liu (former Y Combinator), Amplitude went public on the NASDAQ in 2021 and serves over 2,000 companies including Atlassian, NBCUniversal, Walmart, and Peloton.
Unlike traditional web analytics (Google Analytics tracks page views and sessions), Amplitude tracks events — specific user actions like “clicked signup button,” “completed onboarding,” “upgraded to paid plan,” or “invited a teammate.” By analyzing sequences of events across user populations, Amplitude reveals which behaviors correlate with retention, conversion, and revenue. This makes it the analytics tool of choice for product-led growth companies.
The platform covers product analytics, experimentation (A/B testing), customer data management, and session replay. The target audience is product managers, growth teams, data analysts, and engineers at digital product companies who make decisions based on user behavior data.
Key Features
1. Behavioral Analytics and Cohorts
Amplitude’s core strength is behavioral cohort analysis. Define a cohort based on any combination of actions (users who completed onboarding AND used feature X within 7 days), then analyze how that cohort performs on any metric — retention, conversion, revenue, engagement. This goes beyond vanity metrics to answer questions like: “Which onboarding actions predict long-term retention?” and “What distinguishes power users from churned users?”
2. Funnel Analysis
Amplitude’s funnel builder tracks conversion through any sequence of events. See where users drop off between signup and purchase, identify which steps cause the most friction, and segment funnels by user properties, device, campaign source, or any custom attribute. Time-based funnels show how long each step takes, revealing bottlenecks that aren’t visible in simple conversion rates. You can break down funnels by any dimension to compare conversion across user segments.
3. Retention Analysis
Retention charts show whether users come back after their first experience. Amplitude offers multiple retention views — N-day (did they return on exactly day N?), unbounded (did they return on or after day N?), and custom retention based on any event. Retention analysis paired with cohort comparison reveals which features or behaviors drive long-term engagement. This is the single most valuable analysis for subscription businesses.
4. Amplitude Experiment (A/B Testing)
Amplitude Experiment integrates A/B testing directly with your analytics data. Run feature flags and experiments, then analyze results using Amplitude’s full behavioral analytics — not just conversion rates, but downstream effects on retention, engagement, and revenue. The integration means you don’t need to export experiment data to a separate analytics tool. Feature flags also support gradual rollouts and targeting by user cohort.
5. Session Replay
Session replay captures actual user sessions so you can watch how people interact with your product. Combined with analytics data, you can find a cohort of users who dropped off at a specific funnel step and watch their sessions to understand why. This bridges the gap between quantitative data (what happened) and qualitative understanding (why it happened).
Pricing Breakdown
| Plan | Price | Key Inclusions |
|---|---|---|
| Starter (Free) | $0 | 50M events/mo, core analytics, unlimited users, basic cohorts, funnel and retention charts |
| Plus | $49/mo | 1,000 events/mo included, advanced analytics, group analytics, data governance tools |
| Growth | Custom | Custom event volume, advanced behavioral cohorts, A/B testing, account-level analytics, priority support |
| Enterprise | Custom | SSO, advanced security, dedicated CSM, custom data retention, SLAs |
Plus plan pricing scales with event volume. Growth and Enterprise require sales conversation.
Cost reality check: The free tier is genuinely exceptional — 50M tracked events per month covers most startups and even mid-sized products. You’ll outgrow it when you need advanced features (group analytics, experiments, custom retention) rather than event volume. Growth plans typically start around $1,000-3,000/month depending on volume and features.
Pros and Cons
Pros
- Best-in-class behavioral analytics — cohorts, funnels, and retention analysis are unmatched
- Exceptionally generous free tier — 50M events/month with core analytics features
- Self-serve exploration — product managers can answer questions without writing SQL
- Built-in A/B testing — experiments analyzed with full behavioral context
- Session replay — watch user sessions linked to analytics data for qualitative insights
Cons
- Requires clean instrumentation — analytics quality depends entirely on event tracking quality
- Learning curve — powerful features take time to master, especially for non-technical users
- Opaque growth pricing — custom pricing makes it hard to budget before talking to sales
- Web analytics gap — not a replacement for Google Analytics for marketing/acquisition tracking
- Implementation effort — getting value requires upfront investment in event taxonomy and tracking
Who Should Use Amplitude?
Best fit: – Product-led SaaS companies that need to understand user behavior to drive growth – Product managers who make decisions based on funnel conversion and user retention data – Growth teams running experiments and optimizing activation and engagement flows – Digital product companies with engineering resources to implement proper event tracking
Not ideal for: – Marketing teams focused on website traffic and SEO (use Google Analytics) – Small businesses with simple websites or e-commerce (use Plausible or Fathom) – Teams without engineering capacity to implement event tracking – Companies that don’t have a digital product with user interactions to track
Amplitude vs. Competitors
| Feature | Amplitude | Mixpanel | PostHog | Google Analytics 4 | Heap |
|---|---|---|---|---|---|
| Free tier | 50M events/mo | 20M events/mo | 1M events/mo | Unlimited (sampled) | Limited |
| Behavioral cohorts | Excellent | Excellent | Good | Basic | Good |
| A/B testing | Built-in | No | Built-in | Limited | No |
| Session replay | Yes | No | Yes | No | Yes |
| Self-hosted option | No | No | Yes | No | No |
| Ease of setup | Moderate | Easy | Easy | Easy | Easy (auto-capture) |
| Best for | Product-led SaaS | Mobile/product analytics | Dev-first teams | Marketing analytics | Auto-capture teams |
Final Verdict
Amplitude is the best product analytics platform for companies that take user behavior data seriously. The depth of behavioral analysis — cohorts, funnels, retention, and experiments — gives product teams the insights they need to make data-driven decisions about what to build, how to optimize, and where users get stuck.
The prerequisite is clean data. Amplitude is only as good as your event instrumentation. Teams that invest in a thoughtful event taxonomy and consistent tracking will get enormous value. Teams that rush implementation with inconsistent events will get misleading charts.
For product-led companies with the engineering capacity to instrument properly, Amplitude is the analytics foundation your growth strategy should be built on.
Rating: 8.5/10
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