Morning Programmatic Account Triage
Using the Catchr MCP, pull The Trade Desk data for [List of Client Advertiser Names/IDs] for [Current Period, e.g., yesterday or month to date] and [Comparison Period]. At Advertiser Name, Campaigns Name, Campaigns Channel Type, and Ad Groups Name level, compare Spend In Advertiser Currency, Budget Spent Percent, Impressions, Clicks, Ctr, Cpm In Advertiser Currency, Conversions, Cpa In Advertiser Currency, Revenue, and Roas Advertiser Currency against [Client Budget and KPI Targets]. Label each client Healthy, Watch, or Critical, rank the accounts requiring attention today, trace every issue to the campaign or ad group driving it, and provide one concrete action with the metric and [Recheck Time] needed to confirm recovery; keep advertiser currencies separate and flag sparse conversion data.
Client-Ready Programmatic Media Review
Using the Catchr MCP, pull The Trade Desk performance for [Client Advertiser Name/ID] over [Reporting Period] and [Comparison Period]. Build a client-ready review by Campaigns Name, Campaigns Objective, Campaigns Channel Type, Ad Groups Name, Creative Name, Creative Type, and Device Type. Report Spend In Advertiser Currency, Impressions, Clicks, Ctr, Cpm In Advertiser Currency, Conversions, Cpa In Advertiser Currency, Revenue, Roas Advertiser Currency, Viewability, In View Rate, Video Completion Rate, Unique Persons, and Unique Households where populated. Explain the strongest results, material risks, and confirmed drivers in plain English, distinguish click-through from view-through impact using the populated 01-06 conversion fields, and close with three actions for [Next Period] plus the KPI used to validate each one.
Portfolio Bid and Budget Reallocation Plan
Using the Catchr MCP, analyze The Trade Desk delivery for [List of Client Advertiser Names/IDs] over [Analysis Period] using Campaigns Name, Campaigns Current Flight Budget In Advertiser Currency, Campaigns Current Flight Flight Elapsed Percent, Campaigns Pacing Mode, Ad Groups Name, Ad Groups Budget Total, Ad Groups Base Bid CPM In Advertiser Currency, and Ad Groups Max Bid CPM In Advertiser Currency. Compare Spend In Advertiser Currency, Budget Spent Percent, Bids, Win Rate, Bid Cpm Advertiser Currency, Cpm In Advertiser Currency, Impressions, Conversions, Cpa In Advertiser Currency, Revenue, and Roas Advertiser Currency against [Pacing and Efficiency Targets]. Flag underdelivery, overspend risk, low auction competitiveness, and inefficient winning, then return a client-by-client plan showing the budget or bid change to test, source and destination ad groups where relevant, supporting evidence, expected KPI effect, risk, and [Review Date]; treat low-volume recommendations as experiments.
Daily Client Flight Priority Queue
Using the Catchr MCP, pull month-to-date The Trade Desk data for [List of Client Advertiser Names/IDs] and compare each client with [Monthly Budget and KPI Targets] and the share of its active campaign flight elapsed. Use Campaigns Name, Campaigns Current Flight Budget In Advertiser Currency, Campaigns Current Flight Flight Elapsed Percent, Campaigns Current Flight Days Remaining, Spend In Advertiser Currency, Budget Spent Percent, Impressions, Win Rate, Conversions, Cpa In Advertiser Currency, Revenue, and Roas Advertiser Currency. Rank clients by urgency, trace the largest delivery or efficiency gap to Ad Groups Name, and give one task to complete today plus the exact KPI and [Recheck Time] needed to confirm improvement; separate confirmed issues from low-volume warnings.
Monthly Client Programmatic Performance Story
Using the Catchr MCP, pull The Trade Desk data for [Client Advertiser Name/ID] for [Reporting Month] and [Previous Month]. Summarize Spend In Advertiser Currency, Impressions, Clicks, Ctr, Cpm In Advertiser Currency, Conversions, Cpa In Advertiser Currency, Revenue, Roas Advertiser Currency, Viewability, Video Completion Rate, Unique Persons, and Unique Households. Explain the largest changes by Campaigns Name, Campaigns Channel Type, Ad Groups Name, Creative Name, Creative Type, and Device Type, and describe click-through versus view-through attribution using only populated 01-06 conversion fields. Write a client-ready report in plain English covering what worked, what did not, the evidence-backed reasons, measurement limits, and three priorities for [Next Month].
Two-Hour Bidding and Creative Optimization Sprint
Using the Catchr MCP, inspect [Client Advertiser Name/ID] over [Analysis Period] and build a The Trade Desk optimization plan that fits [Available Time, e.g., two hours]. At Campaigns Name and Ad Groups Name level, compare Ad Groups Base Bid CPM In Advertiser Currency, Ad Groups Max Bid CPM In Advertiser Currency, Bids, Win Rate, Bid Cpm Advertiser Currency, Cpm In Advertiser Currency, Spend In Advertiser Currency, Conversions, Cpa In Advertiser Currency, Revenue, and Roas Advertiser Currency; then use Creative Name, Creative Type, Device Type, Ctr, Viewability, and Video Completion Rate to locate execution issues. Apply [Minimum Data Threshold] and return tasks ordered by expected value with the exact bid, budget, or creative test, supporting evidence, estimated effort, risk, and follow-up KPI for each.
Commerce ROAS and Attribution Guardrail
Using the Catchr MCP, pull The Trade Desk data for [E-commerce Advertiser Name/ID] over [Current Period] and [Comparison Period], grouped by Campaigns Name, Campaigns Objective, Campaigns Channel Type, and Ad Groups Name. Compare Spend In Advertiser Currency, Conversions, Cpa In Advertiser Currency, Revenue, and Roas Advertiser Currency with [Target CPA, ROAS, and Revenue]. Use the populated 01-06 Click Conversion, View Through Conversion, Conversion Touch, Time Weighted Decay Conversion, and corresponding Revenue fields to show how attributed outcomes differ by method without adding overlapping conversion totals together. Identify the campaigns causing any efficiency or revenue decline, classify each as Scale, Hold, Fix, or Pause, and recommend one immediate action with a validation metric; disclose missing conversion slots or attribution ambiguity.
Audience Reach and Retargeting Efficiency Map
Using the Catchr MCP, evaluate The Trade Desk audience delivery for [E-commerce Advertiser Name/ID] over [Period] by Ad Groups Audience Name, Ad Groups Audience Settings Strategy, Ad Groups Funnel Location, Campaigns Channel Type, and Device Type. Use Spend In Advertiser Currency, Impressions, Unique Persons, Unique Households, Clicks, Ctr, Conversions, Cpa In Advertiser Currency, Revenue, and Roas Advertiser Currency. Calculate impression frequency per Unique Person or Unique Household only where the matching reach metric is populated, apply [Minimum Spend or Impression Threshold] and [Target CPA or ROAS], and identify scalable prospecting groups, retargeting groups showing saturation, and audience-device combinations wasting budget. Return a prioritized scale, bid-adjustment, exclusion, or recency-window test plan with evidence and a [Validation Window].
Creative and Channel Revenue Scorecard
Using the Catchr MCP, pull The Trade Desk results for [E-commerce Advertiser Name/ID] over [Period] and [Comparison Period], grouped by Campaigns Channel Type, Ad Groups Name, Creative Name, Creative Type, and Device Type. Compare Spend In Advertiser Currency, Impressions, Clicks, Ctr, Conversions, Cpa In Advertiser Currency, Revenue, Roas Advertiser Currency, Viewability, In View Rate, Player Starts, Player 25% Complete, Player 50% Complete, Player 75% Complete, Player Completed Views, and Video Completion Rate where relevant. Apply [Minimum Volume Threshold] and [Business KPI Targets], rank creatives and channel-device combinations by both media quality and attributed revenue efficiency, explain where video engagement or conversion performance breaks down, and recommend which assets to scale, adapt, refresh, or retire.
Conversion Attribution Integrity Audit
Using the Catchr MCP, audit The Trade Desk conversion data for [Advertiser Name/ID or All Connected Advertisers] over [Period], grouped by Date, Advertiser Id, Campaigns Id, Ad Groups Id, and Creative Id. For every populated 01-06 conversion slot, compare Click Conversion, View Through Conversion, Conversion Touch, Time Weighted Decay Conversion, and their Revenue fields without summing attribution models together. Review Advertiser Attribution Click Lookback Window, Advertiser Attribution Impression Lookback Window, Advertiser Click Dedupe Window In Seconds, Advertiser Conversion De Dupe Window In Seconds, and Campaigns Custom CPA/ROAS settings. Flag missing dates or identifiers, conversion or revenue breaks, impossible negative values, abrupt attribution-mix shifts, and configuration changes that could explain discontinuities; return an exception table with severity, evidence, likely cause, and a reproducible next validation step.
Entity and Currency Rollup Reconciliation
Using the Catchr MCP, validate The Trade Desk reporting consistency for [Advertiser Name/ID or All Connected Advertisers] over [Period]. Build independent rollups of Impressions, Clicks, Conversions, Revenue, Spend Advertiser Currency, Spend Partner Currency, Spend Usd, Advertiser Cost in each currency, Media Cost in each currency, and TTD Cost in each currency at Advertiser, Campaigns Name/ID, Ad Groups Name/ID, and Creative Name/ID grain. Reconcile each hierarchy and currency view separately rather than summing overlapping segmented extracts, test for duplicate keys, null-heavy identifiers, missing dates, clicks above impressions, spend with zero impressions, and discrepancies beyond [Absolute or Percentage Tolerance]. Return a reconciliation table, documented grain and currency assumptions, confidence rating, and the exact follow-up query for every unresolved exception.
Auction, Delivery, and Media Quality Outlier Monitor
Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of The Trade Desk data for [Advertiser Name/ID or All Connected Advertisers], grouped by Date, Advertiser Name, Campaigns Name, Campaigns Channel Type, Ad Groups Name, and Device Type. For Bids, Win Rate, Bid Cpm Advertiser Currency, Spend In Advertiser Currency, Impressions, Clicks, Conversions, Revenue, Sampled Tracked Impressions, Sampled Viewed Impressions, Viewability, and Video Completion Rate, compare each day with its trailing [Baseline Window, e.g., 30-day] mean and standard deviation. Derive rate metrics from compatible summed base fields where possible, require [Minimum Volume Threshold], flag deviations beyond [Z-score Threshold, e.g., 2], and classify each as likely data quality, bidding pressure, delivery or mix shift, measurement coverage change, or genuine performance change with a reproducible investigation step.