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Connect Pinterest Ads to ChatGPT

Connect Pinterest Ads to ChatGPT and ask about any metrics or dimensions using current integrations data. No CSV exports or manual campaign summaries.

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How to connect Pinterest Ads to ChatGPT ?

Three steps to your first source-aware prompt.

Step one

Authorize the Pinterest Ads account in Catchr

Select Pinterest Ads, sign in, and choose the client or business accounts you want to connect.

Client A · Connected sources
5 sources ready
Meta Ads 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Add the Catchr MCP from official ChatGPT store

Configure the Catchr remote MCP connection in ChatGPT using the connector details from Catchr.

Step three

Choose, adapt, and run a prompt.

Replace account, period, KPI target, and threshold variables before you ask ChatGPT.

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

“Why did CPA rise?” sounds simple. The answer is usually buried across exports, formulas, filters, and tabs before the analysis can even start.

Pull another CSV

Choose the right account, date range, breakdowns, and fields. Then wait for the file and do it again when the question changes.

Rebuild the context

Rename columns, fix formats, join tabs, and check formulas before you can trust the comparison.

Summarize it by hand

Turn the numbers into a client-ready answer, then repeat the whole process for the inevitable follow-up.

Ask the account. Get to the explanation.

Catchr MCP gives ChatGPT access to the marketing accounts you select, so each follow-up starts with the same marketing context instead of a new manual export.

The hard way

Prepare data before every question.

  • Export files from the marketing platform
  • Reformat and reconcile columns
  • Rebuild the analysis for each follow-up
The Catchr way

Connect once. Keep asking.

  • Select the right accounts and data
  • Ask in the language your team already uses
  • Investigate with follow-up questions

Twelve Pinterest Ads prompts for analyzing real account data.

Choose your role, open a workflow, then replace the bracketed variables before pasting the prompt into ChatGPT. Every prompt asks for evidence, limits, and a concrete output.

Agency promptCopy prompt
Multi-Client Visual Discovery Health Scan
Using the Catchr MCP, pull Pinterest Ads data for [List of Client Account Names/IDs] over [Period] and [Comparison Period]. For each account, report Spend, Paid impressions, Paid Pin clicks, Paid CTR, Paid outbound clicks, Outbound click rate, Paid saves, Earned saves, Conversions (Checkout), and ROAS (Checkout). Compare each client with [Client KPI Targets or Historical Baseline], label the account Healthy, Watch, or Critical, explain the main campaign-level driver of every issue, and rank the clients the consultant should contact or optimize first today.
Client Shopping and Creative Performance Brief
Using the Catchr MCP, analyze Pinterest Ads for [Client Account Name/ID] over [Period], broken down by Campaign name, Campaign objective type, Ad Group Name, Ad Name, Ad Creative Type, and Product Group Name where available. Compare Spend, Paid impressions, Paid Pin clicks, Paid CTR, Paid saves, Earned saves, Paid outbound clicks, Conversions (Checkout), Order value (Checkout), and ROAS (Checkout) with [Comparison Period]. Produce a client-ready brief showing which campaigns, visual formats, and shopping groups drove discovery, site traffic, and sales, followed by three prioritized actions with the metric each action should improve.
Save-to-Sale Anomaly Watch
Using the Catchr MCP, monitor Pinterest Ads across [List of Client Accounts] for [Period, e.g., the last 14 days], using daily data and a trailing [Baseline Window]. Detect unusual changes in Spend, Paid impressions, Paid Pin clicks, Paid CTR, Paid saves, Earned saves, Earned impressions, Paid outbound clicks, Outbound click rate, Conversions (Checkout), and ROAS (Checkout). Separate delayed discovery signals such as rising saves and earned activity from genuine performance problems such as falling outbound traffic or checkout return, identify the campaign or ad responsible, and return a prioritized alert table with evidence, client impact, and the next action for the consultant.
Daily Pinterest Client Priority Board
Using the Catchr MCP, pull Pinterest Ads results for [List of Client Account Names/IDs] for [Today, Month to Date, or Period] and compare them with [Comparison Period or Client Targets]. For every client, summarize Spend, Paid impressions, Paid CTR, Paid saves, Earned saves, Paid outbound clicks, Conversions (Checkout), and ROAS (Checkout), then identify the campaign causing the largest negative or positive change. Rank clients by urgency and budget exposure, and give the freelancer one concrete task to complete today for each of the top [Number] accounts.
Monthly Visual Commerce Client Report
Using the Catchr MCP, analyze Pinterest Ads for [Client Account Name/ID] over [Reporting Period] versus [Previous Period]. Break down Spend, Paid impressions, Paid Pin clicks, Paid CTR, Paid saves, Earned saves, Earned impressions, Paid outbound clicks, Conversions (Checkout), Order value (Checkout), and ROAS (Checkout) by Campaign name and Ad Name. Write a concise client-ready report explaining what improved, what declined, how Pinterest's paid and earned discovery contributed, which creatives or campaigns drove the outcome, and the three actions planned for [Next Period].
Creative Rotation Action List
Using the Catchr MCP, review all Pinterest Ads creatives for [Client Account Name/ID] over [Period] using Ad Name, Ad Status, Ad Review Status, Ad Creative Type, Frequency, Reach, Spend, Paid impressions, Paid CTR, Paid saves, Earned saves, Paid outbound clicks, and Conversions (Checkout). Apply [Minimum Delivery Threshold] and [Client KPI Targets], distinguish fatigue from weak initial creative-market fit or a delivery-status issue, and create a prioritized Keep, Iterate, Replace, or Investigate list with the evidence, proposed change, owner, and [Review Date] for each ad.
Pinterest Shopping Funnel Leak Finder
Using the Catchr MCP, map the Pinterest Ads shopping journey for [Account Name/ID] over [Period] with Paid impressions, Paid Pin clicks, Paid outbound clicks, Paid web sessions, Conversions (Page visit), Add To Cart, Conversions (Checkout), Order value (Checkout), Spend, and ROAS (Checkout). Compare the funnel with [Comparison Period] and break the largest deterioration down by Campaign name, Ad Group Name, and Ad Name. Calculate stage-to-stage rates only when the metrics share a compatible scope, flag the highest-value leak, and recommend three specific changes to creative, landing experience, product merchandising, or budget allocation.
Product Group Commerce Scorecard
Using the Catchr MCP, evaluate Pinterest Ads shopping performance for [Account Name/ID] over [Period] by Product Group Name, Product Group Type, Campaign name, and Campaign objective type. Report Spend, Paid impressions, Paid Pin clicks, Paid saves, Paid outbound clicks, Conversions (Checkout), Order value (Checkout), and ROAS (Checkout), then compare with [Comparison Period] and [Target ROAS or CPA]. Rank product groups as Scale, Maintain, Test, or Reduce, require at least [Minimum Spend or Checkout Threshold] before making a firm recommendation, and give one concrete merchandising or budget action for every group.
Visual Merchandising Winner Finder
Using the Catchr MCP, compare Pinterest Ads creatives for [Account Name/ID] over [Period] using Ad Name, Ad Pin Id, Ad Creative Type, Product Creative Type, Product Title, and Product Dominant Color where available. Measure Spend, Paid impressions, Paid Pin clicks, Paid CTR, Paid saves, Earned saves, Paid outbound clicks, Outbound click rate, Conversions (Checkout), and Order value (Checkout). Apply [Minimum Impression or Spend Threshold], identify visual and product patterns shared by winners and underperformers, and propose three new creative tests with a hypothesis, primary KPI, and decision rule for scaling or stopping.
Paid and Earned Metric Reconciliation Audit
Using the Catchr MCP, audit Pinterest Ads data for [Account Name/ID or All Connected Accounts] over [Period] by Date, Campaign ID, Ad Group ID, and Ad ID. Reconcile Paid impressions, Earned impressions, Impressions, Paid Pin clicks, Earned Pin clicks, Pin clicks, Paid saves, Earned saves, Saves, Paid engagements, Earned engagements, and Engagements wherever the scopes are designed to roll up. Flag missing identifiers, duplicates, negative values, component totals that exceed compatible totals, abrupt gaps in earned activity, and inconsistent daily granularity; return an exception table with observed values, failed rule, severity, and validation step.
Checkout Attribution Consistency Monitor
Using the Catchr MCP, validate Pinterest Ads conversion reporting for [Account Name/ID or All Connected Accounts] over [Period] using Spend, Conversions (Checkout), Click-through conversions (Checkout), Engagement conversions (Checkout), Order value (Checkout), and ROAS (Checkout), grouped by Date, Campaign name, and Ad Name. Check for impossible negative values, checkout components that conflict with compatible totals, nonzero value with zero checkout events, ROAS that does not reconcile with Order value (Checkout) divided by Spend within [Tolerance], and sudden attribution-mix shifts versus [Baseline Window]. Preserve the catalog warning that conversion metrics may include modeled results, and output each exception with likely data impact and a recommended investigation.
Catalog Entity and Extraction Quality Audit
Using the Catchr MCP, inspect Pinterest Ads catalog-linked records for [Account Name/ID] as of [Snapshot Date] using Extracted Date, Product Id, Product Title, Product Link, Product Creative Type, Product Media Type, Product Group Id, Product Group Name, Product Group Status, Ad Pin Id, Ad ID, Campaign ID, and Ad Account Id. Detect stale extractions, missing or duplicate entity IDs, orphaned products or ads, blank destination links, inconsistent product-group assignments, invalid status combinations, and shopping creatives without a usable product association. Return a remediation table with entity, issue, severity, affected record count, sample IDs, and the exact source or pipeline check the data team should perform next.
Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Pinterest Ads to ChatGPT FAQs

Clear answers for marketers comparing connectors, data sources, reporting workflows, and dashboard setup.

What Pinterest Ads data can ChatGPT analyze through Catchr?

ChatGPT can query connected Pinterest Ads data for campaign delivery, spend, conversion, and revenue reporting.

Representative measures include ROAS (Checkout), Web ROAS (Checkout), CPC, CPM, and Paid CTR. Useful breakdowns include Campaign name, Ad Group Name, Ad Name, Ad Creative Type, and Keyword. The exact field set depends on the selected dataset and compatible reporting reporting level.

How granular can Pinterest Ads analysis be in ChatGPT?

The available detail depends on the fields returned for the selected dataset. Useful breakdowns include Campaign name, Ad Group Name, Ad Name, Ad Creative Type, and Keyword.

Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.

Can ChatGPT find efficiency and budget opportunities in Pinterest Ads?

Yes. ChatGPT can rank campaigns, products, audiences, or placements against your efficiency and volume targets. Relevant fields include ROAS (Checkout), Web ROAS (Checkout), CPC, CPM, and Paid CTR.

Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.

Can ChatGPT diagnose targeting, creative, or conversion issues in Pinterest Ads?

Yes. ChatGPT can isolate the campaign, creative, audience, placement, product, or search term behind a performance change. Useful breakdowns include Campaign name, Ad Group Name, Ad Name, Ad Creative Type, and Keyword.

Ask it to separate observed data, possible explanations, and the next validation step so an unusual value is not presented as a proven cause.

What types of prompts work best for Pinterest Ads analysis?

Strong prompts name the action, account or entity, date range, comparison, and KPI or threshold.

  • Monitor: “Product Group Commerce Scorecard”
  • Diagnose: “Pinterest Shopping Funnel Leak Finder”
  • Find opportunities: “Visual Merchandising Winner Finder”
  • Report: “Monthly Visual Commerce Client Report”

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

Yes, when the other sources are also connected to Catchr. Useful combinations include analytics, commerce, CRM, or other advertising sources.

Align dates, currencies, identifiers, and definitions first. If the sources cannot be joined reliably, ask for a side-by-side comparison rather than a single attributed result.

Can I analyze multiple accounts or campaigns together?

Yes, provided each one is connected and available through Catchr MCP. Ask for separate results first, then create the combined view.

Specify the currency, timezone, objective, attribution window, and KPI target. This keeps one large entity or a definition mismatch from distorting the comparison.

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

You need access that can authorize and view the relevant Pinterest Ads data, a Catchr workspace with the source connected, and Catchr MCP enabled in ChatGPT.

After selecting the required entities, you can ask questions in natural language without preparing a new CSV export for each analysis.

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

ChatGPT analyzes the records returned through the connected Catchr source; it should not assume the data is real time. Freshness and historical coverage can vary by dataset, field, selected period, and source API limits.

Ask it to state the latest campaign or reporting date and the attribution window used, together with the timezone, requested period, and any missing intervals before interpreting a trend.

Can ChatGPT change anything in Pinterest Ads through Catchr?

No. Catchr MCP provides Pinterest Ads data for analysis; it does not give ChatGPT permission to change campaigns, bids, budgets, targeting, or ads.

Use the result to prepare an action plan, then make operational changes in Pinterest Ads. Review the supporting figures before acting on the recommendation.

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

Catchr MCP is included in every standard plan—there is no separate fee for the ChatGPT integration. The Starter plan begins at $20 per month when billed annually, or $24 when billed monthly.

It includes 3 platforms, 10 accounts, unlimited users, and unlimited requests. Larger plans increase the number of platforms and accounts available. See Catchr pricing

‍Can I try the ChatGPT integration before choosing a plan?

Yes. Catchr offers a 14-day free trial with no credit card required.

You can use the trial to connect your marketing sources, authorize Catchr MCP in ChatGPT, and test questions using your own data before subscribing.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector. 

Ask the account question before building another export.

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