Product Analytics

Uncover opportunity, understand your users

Turn data into insights that anyone on your team can explore and act on with warehouse-native analytics software.

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Trusted by 3,000+ companies worldwide

Quizlet
Sony
Typeform
Deezer
Mistral AI
Hims&Hers
Breeze
Treatwell
Clickup
Wikipedia
Upstart
Masterclass
Dropbox
Khan Academy
LA Times
Opera
Pepsi
Quizlet
Sony
Typeform
Deezer
Mistral AI
Hims&Hers
Breeze
Treatwell
Clickup
Wikipedia
Upstart
Masterclass
Dropbox
Khan Academy
LA Times
Opera
Pepsi

Use your data 
to understand 
your users

Customize dashboards

Combine graphs, charts, pivot tables, and text in custom dashboards to expose critical context.

Shared metrics library

Define metrics once, use them across experimentation and analytics. Write custom metrics in SQL that model your business.

Slice and dice your data

Full control over how you explore and compare data. Quickly group, filter, and segment results to uncover patterns and trends.

Visualize user behavior

Create sharable reports. Blend metrics, dimensions, and filters to dig into performance and user activity.

GrowthBook Managed Warehouse

Skip the setup. Start learning. No need to connect your data warehouse.

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Build consensus and trust with product analytics

Explore all your data for insights

GrowthBook is warehouse-native for analyzing your data where it lives. No data silos and reconciliation headaches. Just a single source of truth. Explore business and product data with experiment data to better understand your users. Write your own SQL to access any slice of data in your warehouse.

For Engineers
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Ask for insights with embedded AI

Boost your team’s productivity (even if someone doesn't know SQL) by using our AI-powered text-to-SQL capabilities. Quickly and easily query, aggregate, and group data in reports that deliver the answers you need.

MCP Server
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Align your team 
for faster decisions

Easily share dashboards with your team to drive alignment and broaden understanding about user behavior. Create charts that bring your data to life, then share them with your team to align decisions and track the impact of product changes. When everyone sees the same story from the data, it’s easier to make confident decisions.

For Product Managers
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Democratize your data-driven product development

Anyone with an idea can explore the data and act on it. Use the same metrics library to analyze who was impacted, how behaviors changed, and where unintended effects occurred. Use data to develop and test hypotheses that guide product decisions according to user behavior.

Get Started
Dashboard interface of GrowthBook software showing Metrics tab with Account Linking Rate, Achievement Unlock Rate, and Analytics Engagement Rate metrics listed.

GrowthBook open-source platform

GrowthBook’s modular design works on top of what you have, or replaces what’s not working.

Warehouse native

Integrates with your tech stack. Analyze your data where it lives. SQL visibility.

How it works
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Deployment options

Same product, same features. On cloud or fully self-hosted.

Cloud or self-host
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Integrations

No migration required. No changing tools. We work with your tech stack. 

See integrations
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MCP server

Connect our MCP server to Claude Code, Cursor, VS Code, etc.

See MCP server
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Predictable pricing, flexible plans for every team

Explore free and tiered pricing and plans for both cloud and self-hosted deployments.

One platform for modern product development

Warehouse-native Experimentation

Add rigorous experimentation to any feature flag in minutes.
See Experimentation

Robust Feature Flags

Enable features instantly, gradually rollout, scale without lag.
See Feature Flags
Testimonials

“We don’t need any code changes, we don’t need an app release. We just configure the new tests and launch right away.”

Filipa Batista
Product Manager, Lingokids

“GrowthBook gave us a modern experimentation and release platform that actually fits how Dropbox works. We can run analytics directly on our data lake, roll features out safely in stages, and support teams across different stacks without duplicating data or tooling.”

Alex Kalish
Engineering Manager, Dropbox

“Our goal was to consolidate everything into a single platform while saving money and ensuring compliance and security.”

Alex Kalish
Engineering Manager, Dropbox

“Being able to turn a feature on and off with a flip of a switch 
is fantastic... That’s so much easier than having to do a deploy or a roll-back.”

John Resig
Chief Software Architect, Khan Academy

“Experimentation showed what customers actually do rather than what we assume they’ll do.”

Marek Maciusowicz
Head of Engineering, Treatwell

“People only see the wins, but there’s actually greater value in avoiding losses. We’ve stopped changes that could have cost millions.”

Merritt Aho
Digital Analytics Lead at Breeze Airways

"GrowthBook allowed us to uplevel our code, speed up decision-making, and focus on what we do best—building a world-class AI lending marketplace."

Diego Accame
Director of Engineering, Growth at Upstart

"The fact that we could retain ownership of our data was very, very important. Almost no solutions out there allow you to do that."

John Resig
Chief Software Architect, Khan Academy

“GrowthBook lets us build experiments exactly how we want. The ability to target based on culture and geography, as granular as needed, is a major win for us.”

Eslam Samy
Data Scientist, Floward

"The fact that GrowthBook offered us the ability to keep that data in-house was a key reason why we chose to work with them."

Diego Accame
Director of Engineering, Growth at Upstart

“GrowthBook gave us a modern experimentation and release platform that actually fits how Dropbox works. We can run analytics directly on our data lake, roll features out safely in stages, and support teams across different stacks without duplicating data or tooling.”

Alex Kalish
Engineering Manager, Dropbox

"The fact that GrowthBook offered us the ability to keep that data in-house was a key reason why we chose to work with them."

Diego Accame
Director of Engineering, Growth at Upstart

"The fact that we could retain ownership of our data was very, very important. Almost no solutions out there allow you to do that."

John Resig
Chief Software Architect, Khan Academy

FAQs

A product analytics platform is software that helps product teams understand how users interact with their product: from tracking behavior and measuring feature usage to surfacing trends that inform what to build next. Unlike basic web analytics, product analytics connects user actions to business outcomes, giving teams the data they need to make confident product decisions.

Traditional web analytics tools like Google Analytics track page views, sessions, and traffic sources. They answer "how many people visited?" Product analytics goes deeper: it answers "what did users do, why did they do it, and what happened to the metrics we care about?" GrowthBook's product analytics is also warehouse-native, meaning all your event data stays in your own data warehouse and is queryable with SQL, rather than living in a third-party system you can't fully inspect.

It depends on your product, but most teams track engagement metrics (active users, session depth, feature adoption), retention metrics (return rate, churn signals), and conversion metrics (funnel completion, goal events). With GrowthBook, you define metrics in SQL once and reuse them across both analytics and experimentation — so the same metric that powers your dashboard also powers your A/B tests, with no reconciliation headaches.

Product analytics replaces gut feel with evidence. When everyone on the team sees the same dashboards built from the same metrics definitions, it's easier to align on what's working, what isn't, and what to prioritize next. GrowthBook is designed to make that data accessible to everyone. AI-powered text-to-SQL lets anyone query the warehouse without writing code.

Warehouse-native means GrowthBook analyzes your data where it already lives, rather than copying it into a separate system. There are no data silos, no reconciliation headaches, and no paying twice for the same data. You also get full SQL visibility into every metric calculation. Because your analytics and experimentation data share the same warehouse, you can explore experiment results and product behavior together in a single source of truth.

Yes. GrowthBook includes AI-powered text-to-SQL, so anyone can query, aggregate, and group data in reports by describing what they want in plain language. Shared dashboards, charts, and pivot tables can be built and distributed across the team without requiring SQL knowledge. Engineers and data scientists who want full control can still write their own SQL and define custom metrics directly in the warehouse.

Ready to ship faster?

No credit card required. Start with feature flags, experimentation, and product analytics — free.

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