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Replace [variables] Facts ≠ hypotheses Action + follow-up metric
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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
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Query connected sources
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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 Amazon Vendor Central records returned through Catchr, including ordered and shipped revenue, ordered and unfilled units, open purchase order units, inventory costs, shipped COGS, and average vendor lead time. Available results depend on the selected marketplace, report, options, permissions, and requested period.
Amazon Vendor Central reports can include aggregate and ASIN-level sections, identified by the Report Level field. Claude can also work with normalized day, week, month, quarter, and year dimensions, but the available grain depends on the selected report and returned fields.
Yes, when compatible records are returned for both periods. Claude can compare measures such as ordered revenue, shipped revenue, ordered units, shipped COGS, and inventory costs using normalized date fields. Forecasting is different because Amazon returns the latest forecast snapshot rather than data for a requested date window.
Claude can highlight patterns such as gaps between ordered and shipped revenue, unfilled customer orders, open purchase orders, long vendor lead times, aged stock, unhealthy inventory, or unsellable inventory. These patterns support investigation but do not prove a cause, so ask Claude to separate observations from possible explanations.
Specify the selected marketplace, report, date range, reporting grain, filters, and desired output. Useful prompts include comparing ordered and shipped revenue by month, reviewing unfilled units and open purchase orders, or identifying where aged, unhealthy, and unsellable inventory costs deserve attention.
Yes, when the other sources are also connected through Catchr and provide compatible records. Align dates, currencies, marketplace scope, product identifiers, and metric definitions before combining results; otherwise, ask Claude for a side-by-side comparison instead of a joined analysis.
Each Amazon Vendor Central authorization uses one selected marketplace. If the required marketplaces are available through separate Catchr connections, ask Claude to analyze each one separately before producing a comparison, while keeping currencies, date ranges, report options, and metric definitions aligned.
You need Vendor Central access that can complete the OAuth2 authorization, select the marketplace during setup, connect Amazon Vendor Central in Catchr, and enable Catchr MCP in Claude. The reports and fields available afterward depend on that marketplace and its permissions.
Claude analyzes the records returned through the Catchr connection and should not assume they are real time. Sales, traffic, inventory, and net pure product margin reports use the requested date window, while forecasting returns Amazon’s latest forecast snapshot. Ask Claude to state the latest returned date and any missing intervals.
No. This Catchr connector reads Amazon Vendor Central analytics reports for Claude to analyze; it does not provide write access to edit source records or operational settings. Use Claude’s findings to prepare recommendations, then make any approved changes in the appropriate Amazon workflow.
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.