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      • Running behind a proxy
      • Configuring email
      • Helm chart configuration
      • Deploying ClickHouse using Altinity.Cloud
      • Configuring Slack
      • Overview
        • Overview
        • Upgrade notes
        • Overview
        • 0001-events-sample-by
        • 0002_events_sample_by
        • 0003_fill_person_distinct_id2
        • ClickHouse
          • Backup
          • Kafka Engine
          • Resize disk
          • Restore
          • Vertical scaling
          • Horizontal scaling (Sharding & replication)
        • Kafka
          • Resize disk
          • Log retention
        • PostgreSQL
          • Resize disk
          • Troubleshooting long-running migrations
        • Plugin server
        • MinIO
        • Redis
        • Zookeeper
      • Disaster recovery
    • Troubleshooting and FAQs
    • Managing hosting costs
    • EU-only hosting
    • Overview
    • Ingest live data
    • Ingest historical data
    • Identify users
    • User properties
    • Deploying a reverse proxy
    • Libraries
    • Badge
      • Snippet installation
      • Android
      • iOS
      • JavaScript
      • Flutter
      • React Native
      • Browser Extensions
      • Elixir
      • Go
      • Java
      • Node.js
      • PHP
      • Python
      • Ruby
      • Docusaurus v2
      • Gatsby
      • Google Tag Manager
      • Next.js
      • Nuxt.js
      • Retool
      • RudderStack
      • Segment
      • Sentry
      • Slack
      • Shopify
      • WordPress
      • Message formatting
      • Microsoft Teams
      • Slack
      • Discord
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    • To PostHog from Amplitude
    • Between Cloud and self-hosted
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    • Troubleshooting
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    • Developer reference
    • Overview
    • POST-only public endpoints
    • Actions
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    • Events
    • Experiments
    • Feature flags
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    • Groups types
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    • Overview
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    • Recognizing contributions
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      • Path analysis
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      • Heatmaps
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      • Correlation Analysis
      • Experimentation
      • Feature Flags
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      • Annotations
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      • Events
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      • SSO & SAML
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      • Notifications & alerts
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      • BitBucket Release Tracker
      • Braze Import
      • Event Replicator
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      • GitLab Release Tracker
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      • Ingestion Alert
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      • Databricks Export
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      • Google Cloud Storage Export
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      • Timestamp Parser
      • URL Normalizer
      • User Agent Populator
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Segment Integration

Last updated: Sep 07, 2022

On this page

  • Can PostHog with Segment do everything PostHog does by itself?
  • Getting started with Segment

Segment allows you to easily manage data and integrations with services across your Growth, Product, and Marketing stack. By tracking events and users via Segment’s API and libraries, you can send your product’s data to all of your analytics/marketing platforms, with minimal instrumentation code. They offer support for most platforms, including iOS, Android, JavaScript, Node.js, PHP, and more.

Can PostHog with Segment do everything PostHog does by itself?

We are big fans of Segment, and many in our team use it now or have used it in the past. However, it comes with some limitations for PostHog.

The PostHog integration with Segment gives you access to some things our JS library can do, but using Segment alone means you can't have autocapture, feature flags, session recording, heatmaps or the toolbar. Segment is also more easily blocked by ad-blockers.

To get around these limitations, you can install the PostHog snippet or posthog-js alongside your Segment integration. You would then use Segment for any custom events (for example segment.track('user sign up')), and posthog-js will automatically give you access to all the extra features.

Getting started with Segment

Make sure you have a Segment account and a PostHog account, either self-hosted or using PostHog Cloud.

  1. In the Segment workspace, create a new project and enable PostHog as an integration. We are listed as a 'Destination' on Segment.
  2. Grab the PostHog API key from the 'Project Settings' page in PostHog.
  3. Use one of Segment's libraries to send events.
  4. See the events coming into PostHog

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Next article

Sentry Integration

Why does this exist? Our Sentry integration is a two-way integration which works on Javascript & Python. Once installed, it will: Add a direct link in Sentry to the profile of the person affected in PostHog. Send an $exception event to PostHog with a direct link to Sentry. This way, debugging issues becomes a lot easier, and you can also correlate error data with your product metrics. If you're looking for the PostHog + Sentry integration for Python, please check out the Python docs…

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