TrustRadius: an HG Insights company

PostHog

Score8.4 out of 10

19 Reviews and Ratings

What is PostHog?

PostHog is a product analytics platform built to natively work with Session Replay, Feature Flags, A/B Testing, and Surveys.

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Pros

  • Comprehensive product analytics suite for user behavior insights
  • Effective feature flag functionality for controlled rollouts and A/B testing
  • Granular event tracking for detailed user activity

Great product to understand your product

Use Cases and Deployment Scope

PostHog handles our product analytics, session recordings, feature flags, heat-mapping, AI analytics and more. It does all of this within one stack, and with an easy to use SDK for all of our product. We can retroactively track actions thanks to their auto-capture capability and supercharge our releases.

Pros

  • Product analytics
  • Session recording
  • Feature flags
  • AI observability

Cons

  • Web UI

Return on Investment

  • Speed of iteration

Usability

Alternatives Considered

Amplitude Analytics and Mixpanel

PostHog is great

Use Cases and Deployment Scope

We use PostHog for feature flags, which ive used at prior companies as well. We are trying to be able to roll out features to a select number of people at a time. PostHog Feature Flags helps with this, as we can define feature flags, designate what % it will go out to (or specify conditions) and it just works well.

Pros

  • Feature Flags
  • Local Evaluation
  • Analytics
  • Metrics

Cons

  • Better local evaluation somehow

Return on Investment

  • not really any ROI just the ability to safely release features. It provides intangible value.

Usability

Other Software Used

Amazon Web Services, GitHub, Anthropic Claude

Essential product for high-growth startup teams

Use Cases and Deployment Scope

We started off using PostHog's product analytics tooling to measure the success of the releases we were building, and quickly realised we could expand this into their other toolset. We have therefore adopted feature flagging, session recording, heat mapping, a data warehouse, surveys, and the other tools that PostHog offers.

Pros

  • Product analytics
  • Session recording
  • Feature flagging
  • MCP analytics

Cons

  • I think the UI more recently has become more convoluted and confusing. There's definitely room for improvement.
  • It feels like the core product, which is product analytics, has kind of been left behind with the pivot towards self-driving and the AI-generated stuff.

Return on Investment

  • Adopting feature flagging using PostHog improved our engineering throughput by 10x.
  • Understanding the success of our releases means that we can throw things away quicker when they fail or double down on things sooner if they succeed.

Usability

Alternatives Considered

Pendo.io, Mixpanel and Amplitude Analytics

Great for user analytics and AI token tracking - but is becoming bloated with more and more features

Use Cases and Deployment Scope

First, it provides us with insights on the usage of our web app - both to see where users spend the most time and what bugs they run into. Second, it allows us to monitor our LLM usage. Third, it tells us about our web traffic on the marketing website - where visitors are coming from, how many convert, etc.

Pros

  • It is easy to connect to your deployment - you can use Google Tag Manager for that
  • Track user activity in a web app
  • Allows us to customize reports and use SQL

Cons

  • PostHog became very bloated in the last few months - it feels like they keep adding features just for the sake of adding features
  • The UI can be slow sometimes - it feels like it has gotten slower over the years
  • Using SQL to query the data is quite confusing

Return on Investment

  • Whenever a user reaches out to our customer support team, they are able to see exactly what the user did when they ran into an issue
  • We are able to see which sources bring most traffic to our website - so that we can focus our marketing efforts accordingly
  • It helps us to understand our AI costs - so that we feel more confident in our usage

Usability

Alternatives Considered

Heap, Google Analytics and Sentry

Other Software Used

Twilio SendGrid, Zendesk Suite

Does analytics well

Use Cases and Deployment Scope

It enables telemetry data tracking for our organization so we are able to understand user behavior, how they are using our platforms, how changes we implement are or are not working, and where to invest further in different places on the platform. It is also not super technical so different types of roles can use it.

Pros

  • Event tracking
  • Access for non-technical folks
  • Clear timelines

Cons

  • A little complicated to navigate

Return on Investment

  • Ease of analyzing changes

Usability