Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
Trusted by marketing teams that talk to data every day
Meta Ads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Configure the Catchr remote MCP connection in ChatGPT using the connector details from Catchr.
Replace account, period, KPI target, and threshold variables before you ask ChatGPT.
“Why did CPA rise?” sounds simple. The answer is usually buried across exports, formulas, filters, and tabs before the analysis can even start.
Choose the right account, date range, breakdowns, and fields. Then wait for the file and do it again when the question changes.
Rename columns, fix formats, join tabs, and check formulas before you can trust the comparison.
Turn the numbers into a client-ready answer, then repeat the whole process for the inevitable follow-up.
Catchr MCP gives ChatGPT access to the marketing accounts you select, so each follow-up starts with the same marketing context instead of a new manual export.
ChatGPT can analyze exported PostHog event records through Catchr. Available fields include the Records counter, UTM Campaign, and date breakdowns such as hour, day, week, month, quarter, and year.
The connector exports raw event records, with Records set to 1 for each event. ChatGPT can group those records by supported dimensions such as UTM Campaign and the available date fields.
Yes. ChatGPT can count exported event records by UTM Campaign and compare those counts across supported time periods. This helps freelancers and agencies review campaign-tagged activity without treating the record count as revenue or conversions.
Yes. ChatGPT can summarize event-record counts by hour, day, week, month, quarter, or year using the available PostHog date dimensions. Ask for a defined period and comparison to keep the analysis focused.
Use prompts that specify the date range, time grouping, UTM campaign, and comparison you need. For example, ask ChatGPT to compare monthly event-record counts by UTM Campaign or identify the hours with the highest record counts.
Yes, when the other sources are also connected to Catchr. Align dates and shared campaign identifiers first; if a reliable join is unavailable, ask ChatGPT for a side-by-side comparison instead of a combined result.
Yes. The PostHog connector requires an explicit base URL so it can address US, EU, and self-hosted deployments. Use the base URL for the instance containing the data you want to analyze.
You need a PostHog API key, the explicit base URL for your PostHog instance, a Catchr workspace with PostHog connected, and Catchr MCP enabled in ChatGPT.
ChatGPT analyzes the PostHog records returned through Catchr and should not assume they are real time. Historical coverage depends on the records available from the PostHog API; Catchr follows PostHog's returned next URL because limit and offset are not reliable for historical paging.
No. Catchr MCP provides PostHog data for analysis and does not give ChatGPT permission to change events, settings, or other PostHog data. Review the analysis before making any operational changes in PostHog.
Our team is always here to answer any questions you may have about our data connector.
Connect yout marketing platform to ChatGPT with Catchr MCP and start investigating current campaign performance.