Feature flags

Safely roll out features to specific users or groups

Test changes with small groups of users before rolling out wider. Analyze usage with product analytics and session replay.

Screenshot of a feature flag in PostHog
  • cut failure rates by 90%

    "Feature flags are crucial for us. We use them as kill switches for all features and use the data to make decisions."

    Read the story
  • increased registrations 30%

    "Teams used to use different tools. That led to confusion because flags didn't integrate with our analytics or replays."

    Read the story
  • uses flags for feature testing

    "We test changes as simple as changing the null state of a page through to new onboarding flows or new pricing changes."

    Read the story
  • switched from in-house tools

    "Feature flags immediately bought a lot of value. What’s really elegant is how flags interlink with product analytics."

    Read the story

Features

  • Release conditions

    Customize your rollout strategy by user or group properties, cohort, or traffic percentage

  • Multivariate feature flags

    Simultaneously test multiple versions against a control group

  • Test changes without touching your codebase

    JSON payloads let you change text, visuals, or entire blocks of code without subsequent deployments

  • Developer-friendly automation

    Automated usage reports, IP address resolution (for location-based targeting), and recall person properties to avoid passing them manually every time

  • Early access feature opt-in widget

    Allow users to opt in to (or out of) specified features. Or use the API to build your own UI.

  • History & activity feed

    See who hit a feature flag, the flag’s value, and which page they were on

  • Local evaluation

    Improves speed by caching a flag’s value on initial load

  • Instant rollbacks

    Disable a feature without touching your codebase

  • Bootstrapping

    Get flags and values to trigger changes immediately on page load

  • Persist flags across authentication steps

    Make sure users have a consistent experience after login

  • Flag administration

    See the history of a feature flag or control who can modify flags with user roles

  • SDKs or API

    Copy code snippets for your library of choice, or implement yourself with the API

  • Multi-environment support

    Test flags in local development or staging by using the same flag key across PostHog projects

Answer all of these questions (and more) with PostHog Feature flags.

Usage-based pricing

Use feature flags free. Or enter a credit card for advanced features. Either way, your first 1,000,000 requests are free – every month.

Note: Feature flags and Experiments are currently packaged together and share volume limits.

Free

No credit card required

All other plans

All features, no limitations

Requests

1,000,000/mo

Unlimited

Features

Boolean feature flags
Included
Included
Multivariate feature flags & experiments
Included
Included
Persist flags across authentication
Included
Included
Test changes without code
Included
Included
Multiple release conditions
Included
Included
Release condition overrides
Included
Included
Flag targeting by groups
Included
Included
Local evaluation & bootstrapping
Included
Included
Flag usage stats
Included
Included
Experiments
Included
Included
Funnel & trend experiments
Included
Included
Secondary experiment metrics
Included
Included
Statistical analysis
Included
Included
Group experiments
Not included
Included
Multi-environment support
Not included
Included
Data retention

1 year

7 years

Monthly pricing

First 1 million requests
Free
1-2 million
$0.000100/request
2-10 million
$0.000045/request
10-50 million
$0.000025/request
50 million+
$0.000010/request

FAQs

PostHog vs...

LaunchDarklyCompare to PostHog
Flagsmith
Target by percentage
Target by person properties
Flag scheduling
Experimentation
Multivariate flags
Unlimited flags for free
Free third-party plugins
Activity logs
Data export
Multi-environment support
Automatic IP resolution
Recall person properties by default

So, what's best for you?

Reasons a competitor may be best for you (for now...)

  • Triggers and workflows to enable/disable flags on other events
  • Data exports

Reasons to choose

  • Integration with other analysis products
    • View replays attached to a flag, analyze data based on a flag, etc.
  • JSON payloads
    • Flags can return JSON and trigger other in-app changes (like displaying a banner)
  • Targeting options
  • Early access management suite for toggling betas or new features

Have questions about PostHog?
Ask the community or book a demo.

Featured tutorials

Visit the tutorials section for more.

  • How to do a canary release with feature flags in PostHog

    A canary release or canary deployment is the process of rolling out a new feature to a subset of users before releasing it to a larger group. Once satisfied with tests and analysis, the feature rolls out to a larger group (or everyone).

    Read more
  • How to evaluate and update feature flags with the PostHog API

    Learn how to use the decide endpoint to evaluate your feature flags (both boolean and multivariate), get data about them, and update them.

    Read more
  • How to bootstrap feature flags in React and Express

    Bootstrapping feature flags make them available as soon as React and PostHog load on the client side. This enables use cases like routing to different pages on load, all feature flagged content being available on first load, and visual consistency.

    Read more
  • How to set up Angular feature flags

    Learn you how to set up the tools PostHog provides by creating a basic Angular app, adding PostHog, and then using it to capture events and manage feature flags.

    Read more

Install & customize

Here are some ways you can fine tune how you implement feature flags.

Explore the docs

Get a more technical overview of how everything works in our docs.

Meet the team

PostHog works in small teams. The Feature Success team is responsible for building feature flags.

Roadmap & changelog

Here’s what the team is up to.

Latest update

Aug 2024

Relative deltas and credible intervals added to A/B tests

Juraj would like everyone to know that we've now added relative deltas and credible intervals to our A/B testing tool. In order for you to understand how cool that is though, some explanation may be needed...

A relative delta is the percentage change in conversion rate between the control and test variants. So, a bigger delta means a bigger impact for an experiment.

The credible interval is...complicated. Basically, an experiment measures a certain value (like a conversion rate) and the true value isn't actually the result that's displayed - that's just an approximation because an experiment only measures a small sample of the population. The credible interval gives you a better look at the true data by showing a likely range for the results, as well as a probability percentage that reflects certainty.

Relative deltas are pretty obviously useful for a lot of situations where you want to understand the broad improvement, but credible internal is a more advanced metric which is useful for getting into the nitty-gritty of statistical significance.

Finally, we've also made it easier to ship the winning variant when your experiment reaches a significant result, via a shiny new 'Make decision' modal, which you can see above. Snazzy!

Up next

  • No-code experiments / Visual editor

    A visual editor for experiments would allow users to test changes to their website / app without having to touch the code.

    Milestones
    Project updates

    No updates yet. Engineers are currently hard at work, so check back soon!

Questions?

See more questions (or ask your own!) in our community forums.

  • Question / Topic

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