Connect TikTok Shop to Claude

Multi-Client TikTok Shop Health Radar

Using the Catchr MCP, analyze TikTok Shop for [List of Client Accounts] over [Reporting Period] against [Comparison Period]. For each account, review Payment Original Total Product Price, Payment Platform Discount, and Payment Seller Discount and break the results down by Order ID and Order Type. 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 TikTok Shop only shows correlation.

Client-Ready TikTok Shop Performance Brief

Using the Catchr MCP, review TikTok Shop for [Client Account] during [Reporting Period] versus [Comparison Period]. Review Payment Seller Discount, Payment Sub Total, and Payment Tax and break the results down by Create Time and Paid Time. 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.

TikTok Shop Opportunity and Risk Map

Using the Catchr MCP, compare TikTok Shop across [List of Client Accounts] for [Period] using [Materiality Threshold] and [Client-Specific Targets]. For every account, review Payment Tax, Payment Total Amount, and Payment Shipping Fee and break the results down by Commerce Platform and Fulfillment Type. 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 TikTok Shop Priority Queue

Using the Catchr MCP, pull TikTok Shop for [List of Client Accounts] over [Recent Period] and compare it with [Baseline Period]. For each client, review Payment Shipping Fee, Payment Shipping Fee Cofunded Discount, and Payment Shipping Fee Platform Discount and break the results down by Delivery Type and Payment Currency. 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 TikTok Shop Client Report

Using the Catchr MCP, create a monthly TikTok Shop report for [Client Account] covering [Current Period] versus [Previous Period]. Review Payment Shipping Fee Platform Discount, Payment Shipping Fee Seller Discount, and Payment Shipping Fee Tax and break the results down by Payment Method Name and Cancel Reason. 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.

TikTok Shop Optimization Backlog

Using the Catchr MCP, analyze TikTok Shop for [Client Account] over [Lookback Period]. Review Payment Shipping Fee Tax, Payment Small Order Fee, and Payment Product Tax and break the results down by Exchange Source Order ID and Replaced Order 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.

TikTok Shop Product and Revenue Performance Review

Using the Catchr MCP, analyze TikTok Shop for [Account or Entity] over [Reporting Period] versus [Comparison Period]. Review Payment Product Tax, Payment Buyer Service Fee, and Payment Item Insurance Fee and break the results down by Cancel Order SLA Time and Is Exchange Order. 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 TikTok Shop exposes only a related signal.

TikTok Shop Customer and Order Value Analysis

Using the Catchr MCP, investigate TikTok Shop for [Account or Entity] across [Period] with a focus on customer mix, repeat purchase behavior, and order value. Review Payment Item Insurance Fee, Payment Original Shipping Fee, and Payment Handling Fee and break the results down by Is On-Hold Order and Is Replacement 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 TikTok Shop fields establish a direct relationship.

TikTok Shop Refund and Discount Risk Scan

Using the Catchr MCP, review TikTok Shop for [Account or Entity] over [Lookback Period] to assess refund, discount, inventory, and revenue concentration risks. Review Payment Handling Fee, Payment Retail Delivery Fee, and Payment Shipping Insurance Fee and break the results down by Is Sample Order and Collection Due Time. 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.

TikTok Shop Data Quality Audit

Using the Catchr MCP, audit TikTok Shop for [Account or All Connected Accounts] over [Period]. Review Payment Shipping Insurance Fee, Payment Original Total Product Price, and Payment Platform Discount and break the results down by Collection Time and Auto Combine Group ID. 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].

TikTok Shop Freshness and Coverage Monitor

Using the Catchr MCP, monitor TikTok Shop delivery for [Account or All Connected Accounts] across [Lookback Period]. Review Payment Platform Discount, Payment Seller Discount, and Payment Sub Total and break the results down by Required Delivery Time and Delivery SLA Time. 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.

TikTok Shop Drift and Reconciliation Review

Using the Catchr MCP, compare TikTok Shop across [Current Window] and [Baseline Window] for [Account or All Connected Accounts]. Review Payment Sub Total, Payment Tax, and Payment Total Amount and break the results down by Handling Duration Days and Is COD. 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 TikTok Shop to Claude

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How to connect TikTok Shop to Claude ?

Authorize the TikTok Shop 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 TikTok Shop prompts for analyzing real account data.

TikTok Shop to Claude FAQs

What TikTok Shop data can Claude analyze through Catchr?

How granular can TikTok Shop analysis be in Claude?

Can Claude compare TikTok Shop performance across periods or accounts?

Can Claude investigate unusual changes in TikTok Shop?

What types of prompts work best for TikTok Shop analysis in Claude?

Can I combine TikTok Shop with other data sources in Claude?

Can Claude compare multiple TikTok Shop accounts or entities?

What do I need to connect TikTok Shop to Claude with Catchr?

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

Can Claude change anything in TikTok Shop 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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