Amplitude vs Statsig: Analytics and Experimentation Compared (2026)
Amplitude vs Statsig is a comparison between an analytics-first platform and an experimentation-first one. Amplitude built its name on behavioural product analytics and has added experimentation, session replay, and in-app guides. Statsig built its name on experimentation and feature flags, then added product analytics, session replay, and web analytics.
Both now cover a lot of the same ground. Amplitude tends to win when deep self-serve analysis across many teams is the main need. Statsig tends to win when shipping behind flags and running rigorous experiments at scale is central to how the team works.
Measuring a change in Amplitude? Write the experiment brief before you ship.
Describe the change and the number you want to move. Vantage turns it into a written brief you can share with eng and data before anything ships.
How this works
- We save what you typed. No AI runs on this page.
- You create a free account.
- Vantage builds an experiment brief from it inside your own workspace.
Why ask for an account? We’re a small team, and a full generation runs a multi-step AI pipeline that costs us real money. So we tie it to a free account instead of running it anonymously. You also get to keep the result and edit it.
Your text is only used to create your project, and it stays private to your account. If you don’t sign up, we delete it after 7 days. Privacy policy
Amplitude
Amplitude is a digital analytics platform. It offers event-based product analytics with funnels, retention, journeys, cohorts, and behavioural segmentation, plus Amplitude Experiment for flags and A/B tests, session replay, guides and surveys, and a CDP for data management. Amplitude is used by product, growth, and marketing teams who want self-serve answers without writing SQL.
Statsig
Statsig is a product development platform built around experimentation. It provides feature flags, A/B testing with advanced statistics such as CUPED variance reduction and sequential testing, product analytics, session replay, and web analytics. Statsig can run on its own cloud or warehouse-native on top of your data warehouse. Statsig was acquired by OpenAI in 2025 and continues to operate as a product for its customers.
Feature comparison
| Feature | Amplitude | Statsig |
|---|---|---|
| Product analytics | Core strength. Deep funnels, retention, journeys, and cohorts. | Solid analytics, growing in depth. |
| Experimentation | Amplitude Experiment with flags and A/B tests. | Core strength. Advanced statistics and automatic metric impact. |
| Feature flags | Included with Experiment. | Core feature with generous free usage. |
| Warehouse-native | Warehouse-native analytics available. | Warehouse-native deployment for experiments and analytics. |
| Session replay | Available. | Available. |
| In-app guides and surveys | Guides and surveys available. | Not a focus. |
| Pricing model | Free starter plan; paid plans by event or user volume. | Free developer tier; usage-based paid plans. |
Amplitude pros
Best-in-class self-serve behavioural analytics
Broad adoption across product, growth, and marketing
Guides, surveys, and replay in one platform
Mature charting and dashboard sharing
Amplitude cons
Experimentation is less central than at Statsig
Costs rise quickly with event volume and add-ons
Taxonomy and data governance take ongoing effort
Advanced features sit on higher plans
Pricing: Free starter plan with an event or user allowance. Paid plans priced on event volume or monthly tracked users, with add-ons for Experiment, session replay, and other products. Custom plans for large organisations.
Statsig pros
Rigorous experimentation with variance reduction and sequential tests
Every feature release can become a measured experiment
Generous free tier for flags and events
Warehouse-native option for data teams
Statsig cons
Analytics is less mature than Amplitude's
More engineering-oriented interface
Fewer marketing and engagement features
Teams may want clarity on roadmap since the OpenAI acquisition
Pricing: Free developer tier with a generous allowance of events and unlimited feature flag checks. Paid plans priced on usage, with custom pricing for large volumes and warehouse-native deployments.
Choose Amplitude if you need
- - Self-serve analytics for many teams is the main need
- - Growth and marketing teams analyse data alongside product
- - You want guides and surveys in the same platform
- - Experimentation is occasional rather than constant
Choose Statsig if you need
- - Experimentation is central to how you ship
- - Engineers ship most features behind flags
- - You want advanced statistics out of the box
- - Your data team prefers a warehouse-native setup
How Vantage fits in
Analytics and experiments tell you what moved. The next PRD should start from that evidence. Vantage lets PMs bring experiment readouts and analysis into a project as context, generate the spec, and push dependency-aware tickets to Linear or Jira. Analytics connectors aren't shipped yet, so results come in as docs, screenshots, or links, and the reasoning stays attached to the work.
Frequently asked questions
Product decisions need more than a comparison
Generate PRDs grounded in real data. Track dependencies. Detect conflicts. Rebuild when context shifts.
Measuring a change in Amplitude? Write the experiment brief before you ship.
Describe the change and the number you want to move. Vantage turns it into a written brief you can share with eng and data before anything ships.
How this works
- We save what you typed. No AI runs on this page.
- You create a free account.
- Vantage builds an experiment brief from it inside your own workspace.
Why ask for an account? We’re a small team, and a full generation runs a multi-step AI pipeline that costs us real money. So we tie it to a free account instead of running it anonymously. You also get to keep the result and edit it.
Your text is only used to create your project, and it stays private to your account. If you don’t sign up, we delete it after 7 days. Privacy policy
Free to start. No credit card required.