Connect AdRoll to Claude

Multi-Client AdRoll Health Radar

Using the Catchr MCP, analyze AdRoll for [List of Client Accounts] over [Reporting Period] against [Comparison Period]. For each account, review Cost, Clicks, and Conversions and break the results down by Ad Group Name and Ad Name. 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 AdRoll only shows correlation.

Client-Ready AdRoll Performance Brief

Using the Catchr MCP, review AdRoll for [Client Account] during [Reporting Period] versus [Comparison Period]. Review Conversions, Revenue, and Impressions and break the results down by Advertiser Name and Campaign Name. 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.

AdRoll Opportunity and Risk Map

Using the Catchr MCP, compare AdRoll across [List of Client Accounts] for [Period] using [Materiality Threshold] and [Client-Specific Targets]. For every account, review Impressions, CTR, and CPC and break the results down by Campaign Status and Campaign Type. 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 AdRoll Priority Queue

Using the Catchr MCP, pull AdRoll for [List of Client Accounts] over [Recent Period] and compare it with [Baseline Period]. For each client, review CPC, CPA, and Click Revenue and break the results down by Campaign Channel and Date. 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 AdRoll Client Report

Using the Catchr MCP, create a monthly AdRoll report for [Client Account] covering [Current Period] versus [Previous Period]. Review Click Revenue, Engaged Visitor Cost, and New Visitor Cost and break the results down by Ad Group Created Date and Ad Group Updated Date. 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.

AdRoll Optimization Backlog

Using the Catchr MCP, analyze AdRoll for [Client Account] over [Lookback Period]. Review New Visitor Cost, View Revenue, and Click CPA and break the results down by Ad Created Date and Ad Updated Date. 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.

AdRoll Campaign Efficiency and Pacing Review

Using the Catchr MCP, analyze AdRoll for [Account or Entity] over [Reporting Period] versus [Comparison Period]. Review Click CPA, Click Throughs, and CPM and break the results down by Advertiser Updated Date and Advertiser. 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 AdRoll exposes only a related signal.

AdRoll Audience and Placement Opportunity Map

Using the Catchr MCP, investigate AdRoll for [Account or Entity] across [Period] with a focus on audience and placement differences that explain performance gaps. Review CPM, Bounced Visitors, and CTC Rate and break the results down by Advertiser Click Through Conversion Window and Campaign End Date. 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 AdRoll fields establish a direct relationship.

AdRoll Creative Performance and Fatigue Scan

Using the Catchr MCP, review AdRoll for [Account or Entity] over [Lookback Period] to assess creative fatigue, delivery constraints, and reallocation opportunities. Review CTC Rate, Engaged Visitors, and New Visitors and break the results down by Campaign Start Date and Campaign Updated At. 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.

AdRoll Data Quality Audit

Using the Catchr MCP, audit AdRoll for [Account or All Connected Accounts] over [Period]. Review New Visitors, Non Bounced Visitors, and Open Rate and break the results down by Ad Valid Clicktag and Advertiser Revshare Click Percent. 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].

AdRoll Freshness and Coverage Monitor

Using the Catchr MCP, monitor AdRoll delivery for [Account or All Connected Accounts] across [Lookback Period]. Review Open Rate, Opens, and Sends and break the results down by Advertiser View Through Conversion Window and Ad Has Future Campaigns. 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.

AdRoll Drift and Reconciliation Review

Using the Catchr MCP, compare AdRoll across [Current Window] and [Baseline Window] for [Account or All Connected Accounts]. Review Sends, Total Visitors, and View Throughs and break the results down by Ad Group Ad Optimization and Ad Group EID. 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 AdRoll to Claude

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How to connect AdRoll to Claude ?

Authorize the AdRoll 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 AdRoll prompts for analyzing real account data.

AdRoll to Claude FAQs

What AdRoll data can Claude analyze through Catchr?

How granular can AdRoll analysis be in Claude?

Can Claude compare AdRoll performance across periods or accounts?

Can Claude investigate unusual changes in AdRoll?

What types of prompts work best for AdRoll analysis in Claude?

Can I combine AdRoll with other data sources in Claude?

Can Claude compare multiple AdRoll accounts or entities?

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

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

Can Claude change anything in AdRoll 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?

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