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 Amazon Vendor Central sales, traffic, inventory, forecasting, and net pure product margin reports returned through Catchr. The connector exposes 30 metrics and 34 dimensions, including Ordered Revenue Amount, Shipped Revenue Amount, Ordered Units, inventory costs, lead time, report level, and normalized dates.
Yes. Catchr identifies each record as either aggregate or ASIN through the Report Level dimension. Ask ChatGPT to keep these levels separate when calculating totals, comparing products, or summarizing marketplace performance.
Yes. ChatGPT can compare Ordered Revenue Amount with Shipped Revenue Amount and review Ordered Units, Open Purchase Order Units, and Unfilled Customer Ordered Units. This helps practitioners flag gaps for investigation without treating the data alone as proof of their cause.
Yes. ChatGPT can review Sellable On Hand Inventory Cost Amount, Unsellable On Hand Inventory Cost Amount, Unhealthy Inventory Cost Amount, Aged 90 Plus Days Sellable Inventory Cost Amount, and Net Received Inventory Cost Amount to highlight inventory requiring attention.
Amazon forecasting reports return the latest forecast snapshot rather than using a requested date window. Catchr derives normalized dates from the forecast generation date, so ask ChatGPT to state that date before interpreting or comparing the forecast.
Use prompts that name the report, marketplace, reporting level, period, metric, and comparison. For example, ask ChatGPT to compare ordered and shipped revenue by month, list ASIN-level fulfillment gaps, or summarize aged and unhealthy inventory costs.
ChatGPT can use normalized calendar dimensions including day, day of week, week, month, quarter, year, year-month, and full date. Sales, traffic, inventory, and net pure product margin reports use the requested date window, while forecasting uses its forecast generation date.
You need Vendor Central access that can complete OAuth2 authorization, a Catchr workspace with Amazon Vendor Central connected, and Catchr MCP enabled in ChatGPT. During authorization, select the marketplace Catchr should use for the account and its reports.
ChatGPT analyzes the records returned by Amazon Vendor Central through Catchr and should not assume they are real time. Coverage depends on the report, requested date window, available records, and Amazon API limits; forecasting provides the latest snapshot instead of historical date-window extraction.
No. This Catchr connector reads Amazon Vendor Central analytics reports for analysis; it does not provide ChatGPT with write access. Use the findings to prepare decisions, then make any operational changes in the appropriate Amazon workflow.
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.