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.
Choose your role, open a workflow, then replace the bracketed variables before pasting the prompt into ChatGPT. Every prompt asks for evidence, limits, and a concrete output.
Using the Catchr MCP, pull QuickBooks data for [List of Client Company IDs or Accounts] as of [Snapshot Date], covering [Lookback Period]. For each client, use Invoice Total Amount, Invoice Balance, Due Date, Invoice Transaction Date, Invoice Customer Name, Payment Total Amount, Payment Transaction Date, and Customer Balance to summarize invoiced sales, recorded collections, open receivables, overdue receivables, and overdue balance as a share of open balance. Compare each result with [Client Targets or Prior Period], label the client Healthy, Watch, or Critical, rank the accounts that need the consultant's attention today, and give one evidence-based collection or verification action plus a one-sentence client update for every Watch or Critical account. Treat payments as recorded cash inflows and do not infer bank cash or outgoing expenses from fields that are not available.
ChatGPT can query connected QuickBooks data for invoice, payment, customer balance, tax, product, and receivables reporting.
Representative measures include Invoice Total Amount, Payment Total Amount, Customer Balance, Invoice Balance, and Total Tax. Useful breakdowns include Invoice Transaction Date, Payment Transaction Date, Invoice Customer Name, Document Number, and Invoice Currency. The exact field set depends on the selected dataset and compatible reporting reporting level.
The available detail depends on the fields returned for the selected dataset. Useful breakdowns include Invoice Transaction Date, Payment Transaction Date, Invoice Customer Name, Document Number, and Invoice Currency.
Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.
Yes. ChatGPT can compare invoiced value, recorded payment inflows, customer balances, overdue receivables, and product mix. Relevant fields include Invoice Total Amount, Payment Total Amount, Customer Balance, Invoice Balance, and Total Tax.
Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.
Yes. ChatGPT can surface unapplied payments, currency mismatches, missing identifiers, or invoice-line coding issues. Useful breakdowns include Invoice Transaction Date, Payment Transaction Date, Invoice Customer Name, Document Number, and Invoice Currency.
Ask it to separate observed data, possible explanations, and the next validation step so an unusual value is not presented as a proven cause.
Strong prompts name the action, account or entity, date range, comparison, and KPI or threshold.
Yes, when the other sources are also connected to Catchr. Useful combinations include commerce, CRM, advertising, analytics, or subscription sources.
Align dates, currencies, identifiers, and definitions first. If the sources cannot be joined reliably, ask for a side-by-side comparison rather than a single attributed result.
Yes, provided each one is connected and available through Catchr MCP. Ask for separate results first, then create the combined view.
Specify the account, currency, accounting definition, period, and materiality threshold. This keeps one large entity or a definition mismatch from distorting the comparison.
You need access that can authorize and view the relevant QuickBooks data, a Catchr workspace with the source connected, and Catchr MCP enabled in ChatGPT.
After selecting the required entities, you can ask questions in natural language without preparing a new CSV export for each analysis.
ChatGPT analyzes the records returned through the connected Catchr source; it should not assume the data is real time. Freshness and historical coverage can vary by dataset, field, selected period, and source API limits.
Ask it to state the latest invoice, payment, or extraction date, together with the timezone, requested period, and any missing intervals before interpreting a trend.
No. Catchr MCP provides QuickBooks data for analysis; it does not give ChatGPT permission to create invoices, move money, issue refunds, cancel subscriptions, or edit accounting records.
Use the result to prepare an action plan, then make operational changes in QuickBooks. Prefer aggregated outputs whenever names, contact details, or record-level information are not required.
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.