Connect WooCommerce to Claude

Multi-Client WooCommerce Health Radar

Using the Catchr MCP, analyze WooCommerce for [List of Client Accounts] over [Reporting Period] against [Comparison Period]. For each account, review Shop Total Orders, Shop Total Customers, and Shop Net Sales and break the results down by Order Date Created and Order Attribution UTM Source. Focus on product and collection performance across periods and channels. Rank accounts as Healthy, Watch, or Critical using [Client Targets or Historical Baseline], and show the evidence behind each status. Return a client-ready table with the account, main change, supporting fields, business implication, recommended next action, and one sentence for the next client meeting. Separate observed changes from possible explanations, respect the reporting grain, and do not claim causation when WooCommerce only shows correlation.

Client-Ready WooCommerce Performance Brief

Using the Catchr MCP, review WooCommerce for [Client Account] during [Reporting Period] versus [Comparison Period]. Review Shop Net Sales, Shop Gross Sales, and Shop Total Refunds and break the results down by Order Attribution UTM Medium and Order Attribution Device Type. Explain what improved, what declined, and which changes are material for orders, products, customers, revenue, refunds, discounts, and channel performance. Produce an executive summary, three evidence-backed wins, three risks, and a prioritized action plan with owner and review date. Include a compact evidence table that ties every conclusion to the returned fields. State any unavailable field, incompatible reporting level, or small-sample limitation before recommending action, and write the final recap in language an agency account manager can use with the client.

WooCommerce Opportunity and Risk Map

Using the Catchr MCP, compare WooCommerce across [List of Client Accounts] for [Period] using [Materiality Threshold] and [Client-Specific Targets]. For every account, review Shop Total Refunds, Order Line Product Quantity, and Order Line Product price and break the results down by Product Id and Order Line Product Id. Investigate customer mix, repeat purchase behavior, and order value and refund, discount, inventory, and revenue concentration risks. Build an opportunity-and-risk map ranked by business relevance, confidence, and urgency. For each finding, show the account, observed change, supporting fields, plausible explanations, first validation step, and recommended client action. Keep each client separate before creating a portfolio summary, and avoid applying one account's baseline, currency, attribution rule, or reporting definition to another.

Morning WooCommerce Priority Queue

Using the Catchr MCP, pull WooCommerce for [List of Client Accounts] over [Recent Period] and compare it with [Baseline Period]. For each client, review Order Line Product price, Order Discount Total, and Order Line Subtotal and break the results down by Order Date Created Gmt and Coupon Excluded Product Ids. Flag changes beyond [Alert Threshold], separate high-value issues from low-volume noise, and rank the work I should handle today. Return a queue with the client, issue, exact evidence, likely impact stated cautiously, first validation step, recommended action, and a short update I can send to the client. Do not merge accounts until each result has been checked against its own target, currency, timezone, and reporting grain.

Monthly WooCommerce Client Report

Using the Catchr MCP, create a monthly WooCommerce report for [Client Account] covering [Current Period] versus [Previous Period]. Review Order Line Subtotal, Order Line Total, and Product Total Sales and break the results down by Coupon Product Ids and Order Line Product name. Explain the most important movement in orders, products, customers, revenue, refunds, discounts, and channel performance, including what stayed stable and what needs attention. Write a plain-English report with an executive summary, a concise evidence table, three wins, three concerns, and three actions for [Next Period]. Attach an owner and success measure to each action. State the latest available date and any missing fields or intervals so the client can distinguish measured facts from assumptions or incomplete coverage.

WooCommerce Optimization Backlog

Using the Catchr MCP, analyze WooCommerce for [Client Account] over [Lookback Period]. Review Product Total Sales, Order Shipping Total, and Order Total and break the results down by Order Line Product SKU and Order Line Product Variation Id. Identify the largest opportunities related to product and collection performance across periods and channels and refund, discount, inventory, and revenue concentration risks, then create an optimization backlog ranked by expected impact, effort, and confidence. For every task, include the observed evidence, a specific action, an owner, a due date, a success metric, and a guardrail that would stop the test. Use [Minimum Volume] and [Materiality Threshold] to avoid reacting to noise, and label any recommendation that requires a field or business definition not available in the returned dataset.

WooCommerce Product and Revenue Performance Review

Using the Catchr MCP, analyze WooCommerce for [Account or Entity] over [Reporting Period] versus [Comparison Period]. Review Order Total, Product Average Rating, and Total order CA and break the results down by Product Backordered and Product Backorders. Concentrate on product and collection performance across periods and channels. Identify the entities and periods driving the largest change, distinguish material movement from normal variation using [Minimum Volume] and [Business Target], and explain what the available fields can and cannot prove. Return a ranked findings table with evidence, business implication, confidence, and recommended next action, followed by a short decision summary. Keep calculations at a compatible reporting grain and do not invent a metric when WooCommerce exposes only a related signal.

WooCommerce Customer and Order Value Analysis

Using the Catchr MCP, investigate WooCommerce for [Account or Entity] across [Period] with a focus on customer mix, repeat purchase behavior, and order value. Review Total order CA, Total Order Number, and Product Rating Count and break the results down by Product Backorders Allowed and Product Menu Order. Compare relevant entities against [Target, Peer Group, or Historical Baseline], then locate the strongest opportunities and clearest deterioration. For every finding, show the returned values, comparison dimension, possible explanations, and next check required before action. Deliver a prioritized opportunity map with owner, action, expected signal of improvement, and review date. Treat associations as hypotheses unless the available WooCommerce fields establish a direct relationship.

WooCommerce Refund and Discount Risk Scan

Using the Catchr MCP, review WooCommerce for [Account or Entity] over [Lookback Period] to assess refund, discount, inventory, and revenue concentration risks. Review Product Rating Count, Shop Total Coupons Used, and Shop Total Items Purchased and break the results down by Product Variations Backordered and Product Variations Backorders. Flag changes outside [Tolerance], rank them by materiality and confidence, and separate confirmed data observations from possible operational causes. Return an exception table with the affected entity, period, supporting fields, severity, owner, first validation step, and recommended response. End with three repeatable monitoring rules, including the threshold, minimum volume, and required field. Do not present an unusual value as proof of an error or business cause.

WooCommerce Data Quality Audit

Using the Catchr MCP, audit WooCommerce for [Account or All Connected Accounts] over [Period]. Review Shop Total Items Purchased, Shop Total Shipping, and Shop Total Tax and break the results down by Product Variations Backorders Allowed and Product Variations Menu Order. Check completeness, unexpected nulls, duplicate identifiers at [Expected Grain], invalid values, incompatible aggregation levels, and date consistency where the returned fields support those tests. Return rule-level failure counts and a severity-ranked exception sample with account, field, observed value, expected condition, and reproducible validation step. Distinguish source-data issues from extraction or modeling issues, and do not infer uniqueness, join keys, or business meaning unless confirmed in [Data Contract or Source Documentation].

WooCommerce Freshness and Coverage Monitor

Using the Catchr MCP, monitor WooCommerce delivery for [Account or All Connected Accounts] across [Lookback Period]. Review Shop Total Tax, Shop Total Orders, and Shop Total Customers and break the results down by Order Customer Id and Order Customer Ip Address. Measure date coverage, latest available record, row or entity volume, missing intervals, and field population against [Expected Schedule] and [Freshness SLA]. Flag stale extraction, flatlined volume, schema coverage changes, and gaps beyond [Absolute and Relative Thresholds]. Return an account-level health summary plus an investigation table with first affected period, supporting fields, likely failure domain stated cautiously, owner, and next validation query. Separate genuine source inactivity from a pipeline issue whenever the evidence cannot distinguish them.

WooCommerce Drift and Reconciliation Review

Using the Catchr MCP, compare WooCommerce across [Current Window] and [Baseline Window] for [Account or All Connected Accounts]. Review Shop Total Customers, Shop Net Sales, and Shop Gross Sales and break the results down by Order Customer Note and Order Customer User Agent. Profile distributions, null rates, distinct-value counts, volume, and material changes at the declared reporting grain. Reconcile related fields only when their definitions and aggregation levels are compatible. Flag abrupt shifts beyond [Drift Threshold], inconsistent totals, and values that violate [Business or Data Contract Rules]. Produce a reproducible alert table with evidence, severity, probable domain, and next check, followed by a concise assessment of which analyses may be unreliable until each issue is resolved.

Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Connect WooCommerce to Claude

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How to connect WooCommerce to Claude ?

Authorize the WooCommerce account in Catchr

Add the Catchr MCP as a custom connector in Claude

Choose, adapt, and run a prompt.

A simple client question should not trigger an hour of data prep.

Pull another CSV

Rebuild the context

Summarize it by hand

Ask the account. Get to the explanation.

Prepare data before every question.

Connect once. Keep asking.

Twelve WooCommerce prompts for analyzing real account data.

WooCommerce to Claude FAQs

What WooCommerce data can Claude analyze through Catchr?

How granular can WooCommerce analysis be in Claude?

Can Claude compare WooCommerce performance across periods or accounts?

Can Claude investigate unusual changes in WooCommerce?

What types of prompts work best for WooCommerce analysis in Claude?

Can I combine WooCommerce with other data sources in Claude?

Can Claude compare multiple WooCommerce accounts or entities?

What do I need to connect WooCommerce to Claude with Catchr?

How recent is the WooCommerce data, and how much history can Claude analyze?

Can Claude change anything in WooCommerce through Catchr?

How much does it cost to connect marketing data to Claude with Catchr?

Can I try the Claude integration before choosing a plan?

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