Multi-Advertiser Programmatic Command Center
Using the Catchr MCP, pull Google Display & Video 360 data for [List of Client Accounts or Advertisers] over [Period] and compare it with [Comparison Period]. For each Advertiser, summarize Client Cost (Advertiser Currency), Impressions, Click Rate (CTR), Client Cost eCPM (Advertiser Currency), Active View: % Viewable Impressions, Unique Reach: Total Reach, Unique Reach: Average Impression Frequency, Total Conversions, Client Cost eCPA (Advertiser Currency), and Total Revenue. Calculate return on ad spend from Total Revenue and Client Cost where both are available, compare results with [Client KPI Targets], and label every client Healthy, Watch, or Critical. For each Watch or Critical account, drill down by Campaign, Insertion Order, and Line Item, identify the main delivery or performance driver, and rank the consultant's next actions by urgency with a client-safe explanation.
Client-Ready Omnichannel DV360 Debrief
Using the Catchr MCP, analyze Google Display & Video 360 performance for [Client Account Name/ID] over [Reporting Period] versus [Previous Period]. Report Client Cost (Advertiser Currency), Impressions, Clicks, Click Rate (CTR), Total Conversions, Post-Click Conversions, Post-View Conversions, Total Revenue, Active View: % Viewable Impressions, Unique Reach: Total Reach, and Unique Reach: Average Impression Frequency. Break the largest changes down by Campaign, Insertion Order, Line Item, Inventory Format, Device Type, and Environment, separating display, video, audio, and CTV activity when those values are available. Produce a concise client-ready brief with an executive summary, quantified wins and risks, the entities driving each change, and three prioritized actions; distinguish observed facts from plausible interpretations.
Cross-Client Inventory Quality Watchlist
Using the Catchr MCP, audit media quality across [List of Client Accounts] for [Period] against [Comparison Period or Quality Thresholds]. Break down Client Cost (Advertiser Currency), Impressions, Click Rate (CTR), Active View: Measurable Impressions, Active View: Viewable Impressions, Active View: % Viewable Impressions, Invalid Impressions, General Invalid Traffic (GIVT) Impressions, Total Conversions, and Client Cost eCPA (Advertiser Currency) by Advertiser, Inventory Source, Exchange, Domain, App/URL, Device Type, and Environment. Apply [Minimum Spend or Impression Threshold], flag costly inventory with weak viewability, abnormal invalid traffic, or poor outcomes, quantify the affected client exposure, and return a severity-ranked watchlist with evidence and one concrete action per issue, such as reviewing a domain, excluding an app, shifting inventory, or testing a different environment.
Morning Client Pacing Queue
Using the Catchr MCP, pull month-to-date Google Display & Video 360 data for [List of Client Accounts] and assess delivery as of [Current Date]. For each client, compare Line Item Budget, Line Item Pacing Percentage, Budget Segment Budget, Budget Segment Pacing Percentage, Line Item Start Date, and Line Item End Date with Client Cost (Advertiser Currency), Impressions, Click Rate (CTR), Active View: % Viewable Impressions, Total Conversions, Client Cost eCPA (Advertiser Currency), and Total Revenue. Compare performance with [Client Targets or Historical Baseline], flag overspend, underspend, stalled delivery, weak viewability, or deteriorating conversion efficiency, identify the affected Campaign, Insertion Order, and Line Item, and give me a ranked morning work queue with urgency, evidence, and the first action to take today.
Monthly DV360 Client Performance Story
Using the Catchr MCP, create a client-ready Google Display & Video 360 report for [Client Account Name/ID] covering [Reporting Period] versus [Previous Period]. Explain changes in Client Cost (Advertiser Currency), Media Cost (Advertiser Currency), Impressions, Clicks, Click Rate (CTR), Client Cost eCPM (Advertiser Currency), Active View: % Viewable Impressions, Unique Reach: Total Reach, Unique Reach: Average Impression Frequency, Total Conversions, Post-Click Conversions, Post-View Conversions, Client Cost eCPA (Advertiser Currency), and Total Revenue. Attribute material movements to Campaign, Insertion Order, Line Item, Creative, Inventory Source, and Device Type, quantify their contribution, and write in plain English what worked, what did not, what the data suggests, and three specific priorities for [Next Period].
Placement Optimization Backlog
Using the Catchr MCP, review Google Display & Video 360 placement performance for [Client Account Name/ID] over [Period]. Break down Client Cost (Advertiser Currency), Impressions, Click Rate (CTR), Client Cost eCPM (Advertiser Currency), Active View: % Viewable Impressions, Invalid Impressions, General Invalid Traffic (GIVT) Impressions, Total Conversions, Client Cost eCPA (Advertiser Currency), and Total Revenue by Inventory Source, Exchange, Domain, App/URL, Environment, and Device Type. Apply [Minimum Spend or Impression Threshold], compare each placement with the account median and [Client Quality Thresholds], then build a prioritized backlog of exclusions, bid changes, inventory shifts, and controlled retests, including the supporting evidence, expected impact, effort, success metric, and review date for every task.
Commerce Revenue Efficiency Guardrail
Using the Catchr MCP, pull Google Display & Video 360 data for [Account Name/ID] over [Period] and compare it with [Comparison Period] and [ROAS or CPA Target]. Analyze Client Cost (Advertiser Currency), Total Conversions, Total Revenue, Client Cost eCPA (Advertiser Currency), Post-Click Conversions, Post-View Conversions, Clicks, and Click Rate (CTR), and calculate return on ad spend from Total Revenue divided by Client Cost where valid. Break the movement down by Campaign, Insertion Order, Line Item, Floodlight Activity, Country, Device Type, and Environment, quantify which segments contributed most to the change, and recommend where to scale, hold, reduce, or investigate spend. Clearly flag missing revenue or conversion tracking and avoid treating view-through contribution as proven incrementality.
Audience Reach and Saturation Optimizer
Using the Catchr MCP, evaluate audience delivery for [Account Name/ID] over [Period] versus [Comparison Period]. By Audience Name and Audience Type, report Client Cost (Advertiser Currency), Impressions, Unique Reach: Total Reach, Unique Reach: Average Impression Frequency, Click Rate (CTR), Total Conversions, Client Cost eCPA (Advertiser Currency), and Total Revenue, then segment the findings by Campaign, Line Item, Device Type, and Country. Compare results with [Frequency Guardrail], [CPA Target], and [Minimum Volume Threshold], identify audiences that are scaling efficiently, saturated, under-delivering, or spending without enough commercial return, and produce a reallocation plan with budget, frequency, audience-expansion, or exclusion actions plus a success metric for each recommendation.
Display and Video Creative Sales Scorecard
Using the Catchr MCP, analyze creative performance for [Account Name/ID] over [Period] by Creative, Creative Type, Creative Size, Inventory Format, and Device Type. Use Client Cost (Advertiser Currency), Impressions, Click Rate (CTR), Active View: % Viewable Impressions, Total Conversions, Client Cost eCPA (Advertiser Currency), and Total Revenue; for video inventory also use Starts (Video), First-Quartile Views (Video), Midpoint Views (Video), Third-Quartile Views (Video), Complete Views (Video), Completion Rate (Video), and Average Watch Time per Impression. Apply [Minimum Impression or Spend Threshold], rank creatives on both attention quality and commercial outcome, flag likely fatigue or format-device mismatches, and return a keep, scale, refresh, retest, or pause decision for every material creative with the exact evidence and next test.
Floodlight Attribution Reconciliation
Using the Catchr MCP, reconcile Google Display & Video 360 conversion reporting for [Account Name/ID or All Connected Accounts] over [Period] by Date, Advertiser ID, Campaign ID, Insertion Order ID, Line Item ID, Floodlight Activity ID, Conversion Source, and Conversion Ad Event Type. Compare Total Conversions with Post-Click Conversions and Post-View Conversions only where the selected reporting grain permits reconciliation, and pair them with Total Revenue, CM Post-Click Revenue, CM Post-View Revenue, Floodlight Impressions, Cookie Consented Floodlight Impressions, Cookie Unconsented Floodlight Impressions, and Duplicate Consented Floodlight Impressions. Flag unexplained gaps, missing components, abrupt shifts in click-view mix, consent-related discontinuities, or duplicate spikes, and return an exception table with affected dates and identifiers, observed values, severity, likely data or attribution cause, and the exact validation query to run next.
Programmatic Delivery Chain Integrity Audit
Using the Catchr MCP, audit Google Display & Video 360 delivery data for [Account Name/ID or All Connected Accounts] over [Period] at Date, Advertiser ID, Campaign ID, Insertion Order ID, and Line Item ID grain. Validate completeness and uniqueness of identifiers; check that Clicks do not exceed Impressions, Active View: Viewable Impressions do not exceed Active View: Measurable Impressions, Invalid Impressions and General Invalid Traffic (GIVT) Impressions do not exceed Impressions, Client Cost (Advertiser Currency) and Media Cost (Advertiser Currency) are non-negative, and Line Item Start Date is not after Line Item End Date. Also monitor Bid Requests, Win Rate, Impressions, and Line Item Pacing Percentage for broken or implausible delivery transitions. Return a machine-readable exception table with failed rule, observed values, severity, affected entity, and recommended source-system or pipeline check.
Daily DV360 Outlier Early Warning
Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of daily Google Display & Video 360 data for [Account Name/ID or All Connected Accounts], grouped by Date, Advertiser ID, Campaign ID, Insertion Order ID, and Line Item ID. Monitor Client Cost (Advertiser Currency), Impressions, Click Rate (CTR), Client Cost eCPM (Advertiser Currency), Active View: % Viewable Impressions, Unique Reach: Average Impression Frequency, Total Conversions, Client Cost eCPA (Advertiser Currency), Total Revenue, Invalid Impressions, Bid Requests, and Win Rate. Compare each value with its trailing [Baseline Window, e.g., 30-day] mean and standard deviation, flag deviations beyond [Z-score Threshold] plus missing or zero-value runs, drill down by Inventory Source, Exchange, Domain, and Device Type, and classify each anomaly as likely data-quality, bidding, pacing, inventory-mix, audience-saturation, or genuine performance change with evidence and the next validation query.