Connect Pinterest Ads to Claude

Multi-Client Pinterest Ads Health Radar

Using the Catchr MCP, analyze Pinterest Ads for [List of Client Accounts] over [Reporting Period] against [Comparison Period]. For each account, review ROAS (Checkout), Web ROAS (Checkout), and Click-through conversions (Checkout) and break the results down by Ad Group Name and Ad Creative Type. Focus on budget efficiency, pacing, and conversion quality. 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 Pinterest Ads only shows correlation.

Client-Ready Pinterest Ads Performance Brief

Using the Catchr MCP, review Pinterest Ads for [Client Account] during [Reporting Period] versus [Comparison Period]. Review Click-through conversions (Checkout), CPC, and Paid CTR and break the results down by Ad Name and Placement. Explain what improved, what declined, and which changes are material for campaign, audience, placement, and creative 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.

Pinterest Ads Opportunity and Risk Map

Using the Catchr MCP, compare Pinterest Ads across [List of Client Accounts] for [Period] using [Materiality Threshold] and [Client-Specific Targets]. For every account, review Paid CTR, CPM, and In-app click-through conversions (Checkout) and break the results down by Campaign name and Keyword. Investigate audience and placement differences that explain performance gaps and creative fatigue, delivery constraints, and reallocation opportunities. 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 Pinterest Ads Priority Queue

Using the Catchr MCP, pull Pinterest Ads for [List of Client Accounts] over [Recent Period] and compare it with [Baseline Period]. For each client, review In-app click-through conversions (Checkout), Offline click-through conversions (Checkout), and Web click-through conversions (Checkout) and break the results down by Ad group Placement Group and Day of the month. 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 Pinterest Ads Client Report

Using the Catchr MCP, create a monthly Pinterest Ads report for [Client Account] covering [Current Period] versus [Previous Period]. Review Web click-through conversions (Checkout), In-app ROAS (Checkout), and Offline ROAS (Checkout) and break the results down by Keyword Parent Id and Keyword Parent Type. Explain the most important movement in campaign, audience, placement, and creative 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.

Pinterest Ads Optimization Backlog

Using the Catchr MCP, analyze Pinterest Ads for [Client Account] over [Lookback Period]. Review Offline ROAS (Checkout), Pinterest ROAS (Checkout), and Conversions (Checkout) and break the results down by Keyword Bid and Keyword Match Type. Identify the largest opportunities related to budget efficiency, pacing, and conversion quality and creative fatigue, delivery constraints, and reallocation opportunities, 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.

Pinterest Ads Campaign Efficiency and Pacing Review

Using the Catchr MCP, analyze Pinterest Ads for [Account or Entity] over [Reporting Period] versus [Comparison Period]. Review Conversions (Checkout), Conversions, and CPC (micro) and break the results down by Ad Group Budget and Ad Group Budget Type. Concentrate on budget efficiency, pacing, and conversion quality. 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 Pinterest Ads exposes only a related signal.

Pinterest Ads Audience and Placement Opportunity Map

Using the Catchr MCP, investigate Pinterest Ads for [Account or Entity] across [Period] with a focus on audience and placement differences that explain performance gaps. Review CPC (micro), Effective CPC, and CTR and break the results down by Keyword Is Archived and Keyword Id. 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 Pinterest Ads fields establish a direct relationship.

Pinterest Ads Creative Performance and Fatigue Scan

Using the Catchr MCP, review Pinterest Ads for [Account or Entity] over [Lookback Period] to assess creative fatigue, delivery constraints, and reallocation opportunities. Review CTR, CPM (micro), and CPCV (100%) and break the results down by Keyword Type and Keyword Value. 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.

Pinterest Ads Data Quality Audit

Using the Catchr MCP, audit Pinterest Ads for [Account or All Connected Accounts] over [Period]. Review CPCV (100%), CPCV (95%), and ECPC (micro) and break the results down by Ad Click Tracking Url and Ad Group Auto Targeting Enabled. 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].

Pinterest Ads Freshness and Coverage Monitor

Using the Catchr MCP, monitor Pinterest Ads delivery for [Account or All Connected Accounts] across [Lookback Period]. Review ECPC (micro), Click-through conversions (Add to cart), and Conversion quantity from add to cart - clicks and break the results down by Ad Group Bid and Ad group Billable Event. 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.

Pinterest Ads Drift and Reconciliation Review

Using the Catchr MCP, compare Pinterest Ads across [Current Window] and [Baseline Window] for [Account or All Connected Accounts]. Review Conversion quantity from add to cart - clicks, Click-through conversions (Lead), and Conversion quantity from lead - clicks and break the results down by Ad Group Conversation Learning Mode Type and Ad Group Created Time. 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 Pinterest Ads to Claude

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How to connect Pinterest Ads to Claude ?

Authorize the Pinterest Ads 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 Pinterest Ads prompts for analyzing real account data.

Pinterest Ads to Claude FAQs

What Pinterest Ads data can Claude analyze through Catchr?

How granular can Pinterest Ads analysis be in Claude?

Can Claude compare Pinterest Ads performance across periods or accounts?

Can Claude investigate unusual changes in Pinterest Ads?

What types of prompts work best for Pinterest Ads analysis in Claude?

Can I combine Pinterest Ads with other data sources in Claude?

Can Claude compare multiple Pinterest Ads accounts or entities?

What do I need to connect Pinterest Ads to Claude with Catchr?

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

Can Claude change anything in Pinterest Ads 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?

Still have a question ?

Ask the account question before building another export.