Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
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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 Amplitude event records and their available dimensions, including attribution identifiers, event IDs, cities, IP addresses, and client or server upload times. Nested group, user, event, and data properties are available as JSON strings.
ChatGPT can work with event-level fields and break records down by dimensions such as city, event ID, hour, day, month, or quarter. Ask it to identify the timestamp and dimensions used before comparing periods or segments.
Yes. ChatGPT can inspect the Amplitude attribution identifier strings returned by the connector, such as campaign values, and compare them with compatible event dimensions. Ask it to separate observed associations from proven attribution.
Specify the timestamp that matches your question. Client Upload Time records when the client uploaded an event, while Server Upload Time controls the Amplitude Export API window. ChatGPT should state which field it used before interpreting a timeline.
Use prompts that name the event records, date range, timestamp, breakdown, and desired output. For example, ask ChatGPT to compare events by city and day, inspect attribution identifiers, or flag unusual upload-time patterns for further investigation.
Yes, when the other sources are also connected to Catchr. Define compatible dates and identifiers before combining them; if a reliable join is unavailable, ask ChatGPT for a side-by-side comparison instead of a single attributed result.
Yes, provided each Amplitude project is connected and available through Catchr. Request separate project results first, then ask for a combined comparison using consistent timestamps, date ranges, and dimension definitions.
You need the Amplitude project API key and secret key, the correct Standard or EU project endpoint, a Catchr workspace with Amplitude connected, and Catchr MCP enabled in ChatGPT.
ChatGPT analyzes records returned by the Amplitude Export API and should not treat them as real time. Exports can lag ingestion by up to two hours, use Server Upload Time, and are processed in 24-hour windows to reduce the risk of Amplitude's documented 4 GB response limit. Historical coverage depends on the requested period and available exports.
No. Catchr provides Amplitude export data to ChatGPT for analysis and does not grant write access. Use the findings to prepare recommendations, then make any operational changes in the appropriate platform after reviewing the supporting records.
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.