Connect Teads to ChatGPT

Morning Premium Media Account Triage

Using the Catchr MCP, pull Teads data for [List of Client Account Names/IDs] for [Current Period, e.g., yesterday or month to date] and [Comparison Period]. At Advertiser Name, Seat Name, Campaign Name, and Line Item Name level, compare Budget Spent, Budget Delivered, Impressions, Clicks, Clickthrough Rate, Budget Spent - CPM, Post Click Conversions, Post View Conversions, Video Completion Rate, and Valid and Viewable %. Evaluate each client against [Budget, Delivery, Conversion, Video, and Viewability Targets], label it Healthy, Watch, or Critical, and rank the accounts that need attention today. For every flagged account, identify the campaign or line item driving the issue, quantify the gap, and give one concrete action; if a requested field is unavailable or too sparse, state the limitation instead of inferring a result.

Client-Ready Premium Video and Display Review

Using the Catchr MCP, pull Teads performance for [Client Account Name/ID] over [Reporting Period] and [Comparison Period]. Build a client-ready review split by Campaign Name, Campaign Objective, Advertising Solution, Video or Display, Creative Name, and Position. Report Budget Spent, Impressions, Unique Viewers, Clicks, Clickthrough Rate, Qualified Visits, Post Click Conversions, Post View Conversions, Video Starts, Video Completes, Video Completion Rate, Valid and Viewable %, and, where populated, Lumen - Attention Seconds Per 1000 Impressions and Lumen - Eyes-On Dwell Time. Explain the three strongest results, the three main risks, and the confirmed drivers in plain English, then propose three priorities for [Next Period] with the KPI used to validate each one.

Portfolio Pacing and Budget Reallocation Plan

Using the Catchr MCP, analyze Teads delivery for [List of Client Account Names/IDs] as of [Date], using Campaign Name, Campaign Budget, Line Item Name, Line Item Budget, Line Start Date, Line End Date, Campaign Objective, and Video or Display. Compare elapsed flight time with Budget Spent, Budget Delivered, Billable Events, Impressions, Budget Spent - CPM, Budget Spent - Cost per Result, Clicks, Post Click Conversions, and Post View Conversions. Flag underpacing, overpacing, inefficient delivery, and line items likely to miss [Client Delivery or Outcome Target]. Return a client-by-client reallocation plan with the amount or percentage to move, the source and destination line items, the supporting evidence, the expected effect, and a follow-up date; keep currencies separate and mark low-volume recommendations as tests.

Daily Client Flight Priority Queue

Using the Catchr MCP, pull month-to-date Teads data for [List of Client Account Names/IDs] and compare each account with [Monthly Budget and KPI Targets] and the share of each flight elapsed. Use Campaign Budget, Line Item Budget, Line Start Date, Line End Date, Budget Spent, Budget Delivered, Impressions, Clickthrough Rate, Budget Spent - Cost per Result, Post Click Conversions, Post View Conversions, Video Completion Rate, and Valid and Viewable %. Rank clients by urgency, trace the largest gap to Campaign Name and Line Item Name, and give one task to complete today plus the KPI and [Recheck Time] needed to confirm recovery. Clearly separate confirmed delivery problems from issues that need more data.

Monthly Teads Client Performance Story

Using the Catchr MCP, pull Teads results for [Client Account Name/ID] for [Reporting Month] and [Previous Month]. Summarize Budget Spent, Impressions, Unique Viewers, Clicks, Clickthrough Rate, Qualified Visits, Post Click Conversions, Post View Conversions, Budget Spent - Cost per Result, Video Completion Rate, Valid and Viewable %, and Lumen - Attention Seconds Per 1000 Impressions where populated. Explain the largest changes by Campaign Name, Line Item Name, Creative Name, and Video or Display, then write a client-ready report in plain English covering what worked, what did not, the evidence-backed reasons, any measurement limits, and three actions for [Next Month].

Two-Hour Creative and Placement Optimization Sprint

Using the Catchr MCP, inspect [Client Account Name/ID] over [Analysis Period] and create a Teads optimization plan that fits [Available Time, e.g., two hours]. Score Campaign Name, Line Item Name, Creative Name, Creative Type, Creative Size, Position, Website Domain, and Device using Budget Spent, Impressions, Clickthrough Rate, Qualified Visits, Post Click Conversions, Post View Conversions, Video Completion Rate, Valid and Viewable %, and Average In-View Time. Apply [Minimum Data Threshold], identify the highest-impact creative, inventory, and device opportunities, and return tasks ordered by expected value with the exact change, supporting evidence, estimated effort, risk, and metric to recheck after [Validation Window].

Post-View Commerce Impact Monitor

Using the Catchr MCP, pull Teads data for [E-commerce Account Name/ID] over [Current Period] and [Comparison Period], grouped by Campaign Name, Campaign Objective, Advertising Solution, Creative Name, and Video or Display. Compare Budget Spent, Budget Spent - Cost per Result, Impressions, Clicks, Clickthrough Rate, Qualified Visits, Post Click Conversions, and Post View Conversions against [Conversion and Cost-per-Result Targets]. Show how much of the observed conversion volume is post-click versus post-view, identify the campaigns and creatives driving any change, and classify each as Scale, Hold, Fix, or Pause with one specific action. Do not calculate revenue or ROAS unless a compatible revenue field is actually returned; disclose missing or sparse conversion data.

Creative Attention-to-Conversion Scorecard

Using the Catchr MCP, evaluate Teads creatives for [E-commerce Account Name/ID] over [Period], grouped by Creative Name, Creative Type, Creative Family, Creative Size, Studio Creative ID, Studio Segment, and Video or Display. For video, trace Video Starts, Video First Quartile, Video Midpoint, Video Third Quartile, Video Completes, and Video Completion Rate; for all formats, compare Impressions, Valid and Viewable %, Average In-View Time, Lumen - View Rate, Lumen - Eyes-On Dwell Time, Clicks, Qualified Visits, Post Click Conversions, Post View Conversions, and Budget Spent. Apply [Minimum Impression or Spend Threshold] and [Business KPI Targets], then rank creatives by attention quality and conversion efficiency, explain where engagement drops, and recommend which assets to scale, refresh, resize, or retire.

Premium Inventory Conversion Efficiency Map

Using the Catchr MCP, analyze Teads delivery for [E-commerce Account Name/ID] over [Period] by Website or App, Website Domain, Position, Device, Country Name, Creative Type, and Video or Display. Compare Budget Spent, Impressions, Budget Spent - CPM, Clicks, Clickthrough Rate, Qualified Visits, Post Click Conversions, Post View Conversions, Valid and Viewable %, and Lumen - Attention Seconds Per 1000 Impressions where available. Use [Minimum Volume Threshold] and [Target Cost per Result] to separate scalable premium inventory from placements or device-market combinations that consume budget without enough attention or downstream action. Return a prioritized inclusion, bid-adjustment, and exclusion test plan with supporting metrics, while treating low-volume findings as hypotheses.

Teads Delivery and Conversion Data Audit

Using the Catchr MCP, audit Teads data for [Account Name/ID or All Connected Accounts] over [Period] using Date, Extracted Date, Advertiser ID, Campaign ID, Line Item ID, Creative ID, Conversion Name, Conversion Type, and Budget Spent Currency. Test for missing dates or identifiers, duplicate keys at [Expected Grain], inconsistent currencies, negative or impossible values, spend with prolonged zero Impressions, clicks greater than impressions, conversion breaks, and abrupt changes in Post Click Conversions versus Post View Conversions. Reconcile Budget Spent, Impressions, Clicks, and conversions through independent account, campaign, line-item, and creative extracts without summing overlapping segmented datasets. Return an exception table with severity, failed rule, observed value, likely cause, and reproducible next validation step.

Ninety-Day Premium Media Outlier Monitor

Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of Teads data for [Account Name/ID or All Connected Accounts], grouped by Date, Advertiser Name, Campaign Name, Video or Display, Device, and Country Name. For Budget Spent, Impressions, Clicks, Qualified Visits, Post Click Conversions, Post View Conversions, Video Starts, and Video Completes, compare each day with its trailing [Baseline Window, e.g., 30-day] mean and standard deviation; derive Clickthrough Rate, Video Completion Rate, and conversion efficiency from summed base values when aggregating. Flag deviations beyond [Z-score Threshold, e.g., 2] only after [Minimum Volume Threshold] is met, trace each anomaly to line item, creative, or inventory where possible, and classify it as likely data quality, mix shift, delivery change, or genuine performance change with a recommended investigation.

Measurement Coverage, IVT, and Carbon Reconciliation

Using the Catchr MCP, assess measurement coverage for [Account Name/ID] over [Period] by Campaign Name, Video or Display, Device, Website or App, and Country Name. Compare Impressions with Cookieless Impressions and Cookieless Impressions Rate; compare MOAT - Impressions Analyzed, MOAT - Impressions Analyzed Filtered, In-View Measurable Impressions, Valid and Viewable Impressions, and Valid and Viewable %; and compare Scope3 - Measured Impressions with Scope3 - Total Emissions and Scope3 - Total Emissions per Mille. Calculate coverage and drop-off rates only from compatible, non-overlapping extracts, flag null-heavy segments and impossible relationships, and quantify where measurement, IVT filtering, viewability, or carbon coverage changes materially versus [Comparison Period]. Return a reconciliation table, confidence rating, documented assumptions, and the exact follow-up query needed for every unresolved exception.

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

Connect Teads to ChatGPT

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How to connect Teads to ChatGPT ?

Authorize the Teads account in Catchr

Add the Catchr MCP from official ChatGPT store

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 Teads prompts for analyzing real account data.

Teads to ChatGPT FAQs

What Teads data can ChatGPT analyze through Catchr?

How granular can Teads analysis be in ChatGPT?

Can ChatGPT find efficiency and budget opportunities in Teads?

Can ChatGPT diagnose targeting, creative, or conversion issues in Teads?

What types of prompts work best for Teads analysis?

Can I combine Teads with other data sources in ChatGPT?

Can I analyze multiple accounts or campaigns together?

What do I need to connect Teads to ChatGPT with Catchr?

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

Can ChatGPT change anything in Teads through Catchr?

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

‍Can I try the ChatGPT integration before choosing a plan?

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