Agency promptCopy prompt
Replace [variables] Facts ≠ hypotheses Action + follow-up metric
Trusted by marketing teams that talk to data every day
Three steps, from Catchr to your first answer. No code, and nothing to install on your machine.
Meta Ads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Open the Catchr MCP entry in the Claude connector directory, add it, then sign in to Catchr and review the access Claude asks for.
Replace account, period, KPI target, and threshold variables before you ask Claude.
Which one fits depends on what you need Claude to do, and on how many sources the question touches.
Compare your options
Sources
Sources
Sources
The data in your file
Connection
Connection
One Catchr workspace
Connection
Upload a CSV or Excel file
Next question
Next question
Query connected sources
Next question
Export again if the scope changes
Catchr gives Claude eight tools, and all eight of them read.
Claude can list the platforms and accounts connected to your workspace, browse the available fields, and run reporting queries against them. That covers spend, delivery, conversions, and creative performance, down to the level you ask for.
Claude cannot create, pause, or edit a campaign, move a budget, publish an ad, or change an audience. There is no write permission to grant, so there is none to supervise.
In Ads Manager. Decide in the conversation what to change and why, then act with the access and the review your team already uses.
Choose your role, open a workflow, then replace the bracketed variables before pasting the prompt into Claude. Every prompt asks for evidence, limits, and a concrete output.
“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 Claude access to the marketing accounts you select, so each follow-up starts with the same marketing context instead of a new manual export.
Clear answers for marketers comparing connectors, data sources, reporting workflows, and dashboard setup.
Claude can analyze the customer and order records returned by the CommentSold connection. Available fields include payment amount, subtotal, total, taxes, shipping, coupon discount, balance applied, unique customers, and order shipping details such as city, state, ZIP, and country code.
Claude can break down returned CommentSold orders using available customer, shipping, payment, and date fields. Ask it to state the reporting grain, selected period, filters, and fields used before calculating totals or comparisons.
Yes, when the required CommentSold records are returned for each selected period or connected shop. Claude can compare payment totals, subtotals, taxes, shipping costs, discounts, and unique customers, but each shop should be analyzed separately before producing a combined summary.
Claude can identify patterns such as changes in payment totals, taxes, shipping costs, coupon discounts, or unique customers across the available records. Ask it to separate observed differences from possible explanations and specify what should be checked next.
Give Claude the shop, date range, comparison, relevant fields, and desired output. Useful requests include summarizing order payments, comparing coupon discounts between periods, reviewing shipping costs by location, or preparing a concise customer and sales report.
Yes, when the other sources are also connected and their returned fields support the analysis. Align dates, identifiers, currencies, and business definitions first; if a reliable join is not available, ask Claude for a side-by-side comparison instead.
The CommentSold connector includes customer and order streams with joins present in its static schemas. Claude can use compatible returned fields together, but it should confirm the join keys and reporting grain before relating customer details to order payments.
You need a CommentSold API token, the relevant Shop ID, a Catchr workspace with CommentSold connected, and Catchr MCP enabled in Claude. The data Claude can access depends on the selected connection and its permissions.
Claude analyzes the CommentSold records returned through the connected Catchr source and should not treat them as real time. Refresh timing, pagination, and historical coverage are not specified, so ask Claude to state the latest available order date, the requested period, and any missing intervals before interpreting trends.
No. Catchr provides CommentSold data to Claude for analysis and does not give Claude permission to edit orders, customer records, payments, or shop settings. Make operational changes in CommentSold with the appropriate access and review.
Our team is always here to answer any questions you may have about our data connector.
Connect your marketing platforms to Claude with Catchr MCP and start investigating current campaign performance.