PLUGIN SETUP
Start using Pinterest Ads in ChatGPT
Connect Pinterest Ads to Adzviser, install Adzviser in ChatGPT, and start asking questions about your data.
Connect Pinterest Ads to Adzviser
In Adzviser, sign in to Pinterest Ads and allow Adzviser to read its reporting data.
Install Adzviser in ChatGPT
Open Adzviser in ChatGPT's plugin directory, install it, and sign in to your Adzviser account when asked.
Open Adzviser in ChatGPT ↗Ask your first Pinterest Ads question
Start a new ChatGPT conversation and ask Adzviser to list your workspaces and show the ad account connected to each. Choose a workspace, ask about performance or trends, and continue with follow-up questions.
CHOOSE THE RIGHT CHATGPT CONNECTOR
Pinterest Ads in ChatGPT: Pinterest's official Ads MCP vs. Adzviser's read-only reporting connector
This side-by-side comparison covers Pinterest's official Ads MCP and Adzviser's read-only Pinterest Ads reporting connector in ChatGPT. Pinterest is testing its first-party MCP with a limited group of partners that must build their own AI application. Adzviser provides ready-to-use Pinterest Ads reporting for marketers and agencies.
Pinterest's official Ads MCP
Build a custom Pinterest Ads AI application
Available only to selected Pinterest alpha partners; requires custom AI application development. If your account receives a public MCP address, connect it manually in ChatGPT Developer mode. Developer mode availability depends on the account and workspace policy.
Build a custom AI application for Pinterest campaign planning and performance analysis.
Partner-defined: Pinterest describes campaign-planning and performance-analysis capabilities.
Pinterest Ads only: the alpha does not combine data from other marketing platforms.
Best for: selected Pinterest partners with product-development teams.
Read Pinterest's announcementAdzviser's read-only Pinterest Ads reporting connector
Analyze Pinterest Ads with your other marketing data in ChatGPT
Connect Pinterest Ads in Adzviser, then install Adzviser from ChatGPT's plugin directory.
Open with a question about campaigns, spend, clicks and conversions, inspect the answer, and continue the same conversation with follow-up questions.
Read-only reporting; ChatGPT cannot change anything in Pinterest Ads through Adzviser.
Analyze Pinterest Ads in the same ChatGPT conversation as connected advertising, analytics, commerce, email, and CRM sources.
Best for: marketers and agencies that want read-only Pinterest Ads reporting beside other marketing and revenue data in ChatGPT.
Open Adzviser in ChatGPTCONVERSATION FLOW
Turn Pinterest Ads data into clear next steps in ChatGPT
Start with the results, focus on the decision in front of you, and keep asking follow-up questions in the same conversation.
Review recent performance
Review recent campaign results and the metrics behind the headline. Ask for a compact table and make the reporting period clear.
See the “Weekly Campaign Performance Summary” promptFocus on a decision
Compare spend and results across campaigns to identify budget decisions that deserve closer review. Ask ChatGPT to compare the options, supporting evidence, and possible downsides.
See the “Budget Allocation Optimizer” promptAsk a follow-up
Compare recent results with the previous period and call out the largest changes. Ask what may explain the result, what evidence is missing, and what to examine next.
See the “Week-over-Week Trend Analysis” promptCHATGPT STARTERS
Start with a quick check, then analyze Pinterest Ads
First, confirm ChatGPT can access the right data. Then ask a detailed question and follow up on the recommendation that matters most.
List my connected Pinterest Ads accounts and show the Adzviser workspace for each. After I choose one, return "Conversions" for the last 7 complete days.
Compare spend and results across campaigns to identify budget decisions that deserve closer review.
Analyze Pinterest Ads budget allocation for the workspace I choose during the last 30 complete days. For each campaign: Daily Budget, Actual Spend, Conversions, ROAS, and Utilization %. Identify underspending campaigns with strong ROAS and overspending campaigns with poor ROAS. Recommend budget redistribution.
Keep the same data source and time period. Which recommendation should I prioritize, what results support it, and what should I review before acting on it?
