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After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.

With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Connect your PostHog project in Catchr and choose it in the Catchr Looker Studio connector. Start with an event table showing event name, event time and project ID. Filter to a meaningful product action, such as completing onboarding, before building a trend chart.
Catchr exposes event names, timestamps, event IDs, distinct IDs, session IDs, page URLs, device information and campaign tags. It also includes event properties as JSON. These fields support event-level reporting; they are not a prebuilt copy of every saved PostHog insight.
Event counts show how often a tracked action occurred. To measure adoption, also count the relevant users and define which population was eligible to use the feature. One power user repeating an action can raise event volume without increasing the number of people adopting it.
Not necessarily. PostHog's identity resolution can associate several identifiers with a person. Counting distinct IDs in exported rows is a different calculation unless the same identity rules are applied. Label the dashboard measure accurately and validate it against a small set of known users.
You can use the event data as an input, but a funnel needs more than a chart of separate event totals. It must link the same users across ordered steps within a defined conversion window. Reproduce those rules in a prepared dataset before expecting the result to match a PostHog funnel.
Yes. Catchr exposes UTM source, medium and campaign alongside event data. Use them where those properties were recorded on the events. A missing campaign value does not prove that a user arrived directly; later product events may not retain the original landing-page tags.
Yes. Add Google Ads to compare campaign investment with product activity. Align campaign identifiers and dates, and define the activation event you want to measure. An aggregate comparison does not automatically establish user-level advertising attribution.
Our team is always here to answer any questions you may have about our data connector.