posthog-analytics

Integrate PostHog analytics by initializing the library with your project key to capture pageviews and custom events. It requires setting environment variables for keys and hosts, then configuring user identification within your client and server apps.

Yes, PostHog feature flags support running experiments and gradual rollouts across React and Node applications. You configure flag-driven features within your app to test changes and measure their impact on user engagement and activation metrics.

Tracking user identity requires configuring PostHog user identification across both client and server apps. You capture user properties and events by initializing the library with project keys, ensuring consistent identity data flows into your dashboards and funnels.

Yes, setting up PostHog requires environment variables for project keys and hosts to securely initialize the library. Once configured, you can build dashboards and funnels to monitor activation, engagement, and revenue metrics across your web apps.

Yes, PostHog analytics integration supports Python backends alongside Next.js, React, and Node. You can capture server-side events, identify users, and manage feature flags by initializing the library with your API access and environment variables.

Feature flags may fail if environment variables for keys and hosts are missing or if the library is not properly initialized in your app. Validate that user identification and flag configuration are correctly applied across your client and server environments.