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Cueston and PostHog

Learn how Cueston and PostHog work together to improve user onboarding with data-driven product tours and in-app guidance.

PostHog is an open-source product analytics platform that gives engineering and product teams full visibility into how users interact with their software. It offers event tracking, session recordings, feature flags, and experimentation tools, all self-hostable or available as a cloud service.

Cueston is a product adoption platform that helps SaaS teams guide users inside their product using onboarding flows, product tours, tooltips, nudges, and in-app banners.

Together, PostHog and Cueston close the gap between understanding user behavior and acting on it. PostHog tells you where users struggle; Cueston lets you intervene with contextual guidance at exactly the right moment.

Integration workflow

  1. 1Analyze user behavior and identify friction points in PostHog
  2. 2Define user segments based on behavioral data
  3. 3Create targeted onboarding flows in Cueston for those segments
  4. 4Measure the impact on activation and adoption metrics

How the integration works

PostHog captures granular product usage data including pageviews, custom events, and user properties. By connecting this data to Cueston, you can target onboarding flows and in-app messages to specific user segments defined by their actual behavior. For example, users who visited the dashboard three times but never created a report can receive a guided product tour walking them through report creation.

Events triggered by Cueston flows, such as tour completions or tooltip dismissals, can be sent back to PostHog. This creates a feedback loop where you measure the downstream impact of each intervention on retention, activation, and feature adoption.

Use cases

  • Target onboarding tours to users who match specific PostHog cohorts, such as users who signed up but have not completed setup.
  • Trigger contextual tooltips when PostHog events indicate a user is stuck on a particular workflow.
  • Run A/B tests on different onboarding sequences and measure results directly in PostHog.
  • Surface upgrade nudges to power users identified through PostHog behavioral data.
  • Reduce time-to-value by guiding new users to their first key action based on their entry point or referral source tracked in PostHog.

Getting started

Start by identifying the activation events that matter most in your PostHog dashboard. Look for drop-off points in your onboarding funnel where users abandon the flow. In Cueston, create a product tour or tooltip sequence that addresses that specific drop-off. Set the audience targeting to match the PostHog cohort of users who reach that step but do not proceed. Deploy the flow and monitor completion rates alongside your PostHog activation metrics to confirm the intervention works.

Frequently asked questions

Does this integration require a self-hosted PostHog instance?▾

No. The integration works with both PostHog Cloud and self-hosted deployments. You connect via the PostHog API or by passing user properties and event data through your application layer.

Can I use PostHog feature flags to control which Cueston flows appear?▾

Yes. You can evaluate PostHog feature flags on the client side and use the results as targeting conditions in Cueston, allowing you to gate onboarding experiences behind feature rollouts.

How do I measure whether a Cueston flow improved activation?▾

Send Cueston flow events (started, completed, dismissed) as custom events to PostHog. Then compare activation rates between users who saw the flow and those who did not using PostHog cohort analysis or experimentation tools.

Ready to improve your product adoption?

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Cueston — Product Adoption Platform for SaaS