Connect AdRoll to ChatGPT

Multi-Advertiser Performance Command Center

Using the Catchr MCP, pull AdRoll data for [List of Advertiser Account Names/IDs] over [Period] and the immediately preceding equivalent period. Build a portfolio view with Advertiser Name, Cost, Impressions, Clicks, CTR, Conversions, CPA, and Revenue; calculate ROAS as Revenue divided by Cost. Rank accounts by urgency, flag material period-over-period deterioration, and give one evidence-based next action for each account at risk. End with a concise summary of which clients need attention today and which are stable.

Client-Ready Campaign Performance Brief

Using the Catchr MCP, analyze AdRoll performance for [Account Name/ID] over [Period], broken down by Campaign Name, Campaign Channel, Campaign Type, Campaign Status, Campaign KPI Metric, and Campaign KPI Global. Report Campaign Budget, Cost, Impressions, Clicks, CTR, Conversions, CPA, and Revenue, and calculate ROAS as Revenue divided by Cost. Compare with [Comparison Period], explain which campaigns and channels drove the change, and produce a plain-English client brief with wins, risks, and three prioritized recommendations.

Cross-Account Budget and Delivery Risk Scan

Using the Catchr MCP, review all active AdRoll campaigns across [List of Client Accounts] for [Period]. Use Campaign Start Date, Campaign End Date, Campaign Budget, Cost, Campaign Status, Impressions, Conversions, CPA, and Revenue to identify campaigns that are underspending, overspending, nearing an end date with weak delivery, or spending without sufficient conversions. Calculate budget pacing where the available dates and budget allow it, distinguish a delivery issue from a performance issue, and return a client-by-client alert list with severity, evidence, and the next action the consultant should take.

Daily Client Priority Queue

Using the Catchr MCP, pull AdRoll results for [List of Client Account Names/IDs] for [Period, e.g., month to date] and [Comparison Period]. For each client, report Cost, Impressions, Clicks, CTR, Conversions, CPA, and Revenue, calculate ROAS as Revenue divided by Cost, and identify the campaign causing the largest negative change. Rank clients by urgency based on performance deterioration and budget exposure, then give the freelancer one concrete task to complete today for each of the top three accounts.

Monthly Client Results Narrative

Using the Catchr MCP, pull AdRoll data for [Account Name/ID] for [Period, e.g., this month] and [Comparison Period, e.g., last month]. Break down Cost, Impressions, Clicks, CTR, Conversions, CPA, Revenue, Click Revenue, and View Revenue by Campaign Name and Campaign Channel, and calculate ROAS. Write a client-ready report that clearly explains what improved, what declined, which campaigns drove the result, how click-through and view-through revenue contributed, and what will be changed next month; keep the language concise and free of unexplained jargon.

Creative Test Winner Finder

Using the Catchr MCP, compare AdRoll creatives for [Account Name/ID] over [Period] using Ad Name, Ad Format Name, Ad Type, Ad Headline, Ad Status, Impressions, Clicks, CTR, Conversions, CPA, Cost, and Revenue. Apply [Minimum Impression or Cost Threshold] before declaring a winner, rank eligible ads by the KPI defined in [Client Objective], and separate clear winners, promising tests, and underperformers. Recommend which creatives to scale, iterate, or pause, and support every recommendation with the reported data.

Click-Through vs View-Through Revenue Analysis

Using the Catchr MCP, pull Click Throughs, View Throughs, Click Revenue, View Revenue, Cost, Conversions, and Revenue for [Account Name/ID] over [Period], broken down by Campaign Name and Campaign Channel. Calculate each attribution path's share of attributed revenue and compare it with [Comparison Period]. Identify campaigns whose reported return depends heavily on view-through activity, explain how that affects interpretation of performance, and recommend where to protect, validate, or reduce spend without presenting attributed revenue as incremental revenue.

Visitor Quality and Conversion Efficiency Diagnostic

Using the Catchr MCP, analyze Total Visitors, New Visitors, Engaged Visitors, Non Bounced Visitors, Bounced Visitors, Bounce Rate, Engaged Visitor Cost, New Visitor Cost, Conversions, CPA, Cost, and Revenue for [Account Name/ID] over [Period]. Break results down by Campaign Name and Campaign Channel, compare them with [Comparison Period], and show where paid traffic quality is improving or degrading. Flag campaigns that acquire visitors cheaply but fail to generate engagement, conversions, or revenue, then provide a prioritized optimization checklist for the e-commerce team.

Lifecycle Campaign Revenue Scorecard

Using the Catchr MCP, evaluate AdRoll lifecycle campaign performance for [Account Name/ID] over [Period] using Campaign Name, Campaign Channel, Campaign Type, Sends, Opens, Open Rate, Clicks, Conversions, Cost, and Revenue. Compare with [Comparison Period], calculate conversion rate and ROAS where denominators are available, and rank campaigns by commercial contribution rather than opens alone. Highlight campaigns with strong engagement but weak conversion or revenue, and recommend the three highest-impact tests for the next cycle.

Attribution Configuration and Mix Audit

Using the Catchr MCP, audit AdRoll attribution for [Account Name/ID or List of Accounts] over [Period]. Retrieve Advertiser Click Through Conversion Window and Advertiser View Through Conversion Window, then analyze Click Throughs, View Throughs, Click Revenue, View Revenue, Conversions, and Revenue by Advertiser Name and Campaign Name. Flag accounts with inconsistent window settings, abrupt shifts in click-through versus view-through contribution, or totals that do not reconcile logically, and return a structured issue table with the affected account, evidence, likely data impact, and validation step.

Extraction Freshness and Completeness Monitor

Using the Catchr MCP, assess AdRoll data freshness and completeness for [Account Name/ID or All Connected Accounts] over [Period] using Extracted Date, Date, Advertiser Name, Campaign Name, Campaign Status, Cost, Impressions, Clicks, Conversions, and Revenue. Detect stale extraction timestamps, missing dates, unexpected nulls, flatlined metrics, and active campaigns with no records. Quantify the scope of every issue, distinguish likely pipeline failures from plausible zero-activity periods, and produce a remediation-ready table for the data team.

Daily Performance Outlier Detection

Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of daily AdRoll data for [Account Name/ID or List of Accounts], segmented by Advertiser Name, Campaign Name, and Campaign Channel. For Cost, Impressions, Clicks, CTR, Conversions, CPA, and Revenue, compare each day with a trailing [Baseline Window, e.g., 28-day] baseline and flag observations beyond [Outlier Threshold, e.g., 2 standard deviations]. Classify each outlier as a likely data-quality issue or a real performance event using cross-metric evidence, and provide the exact date, campaign, affected metrics, severity, and recommended investigation.

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

Connect AdRoll to ChatGPT

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How to connect AdRoll to ChatGPT ?

Authorize the AdRoll 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 AdRoll prompts for analyzing real account data.

AdRoll to ChatGPT FAQs

What AdRoll data can ChatGPT analyze through Catchr?

How granular can AdRoll analysis be in ChatGPT?

Can ChatGPT find efficiency and budget opportunities in AdRoll?

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

What types of prompts work best for AdRoll analysis?

Can I combine AdRoll with other data sources in ChatGPT?

Can I analyze multiple accounts or campaigns together?

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

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

Can ChatGPT change anything in AdRoll 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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