Hyperscale Ad Ops & Performance With Agentic AI

Advertiser Wrap Report

Automated Campaign Wrap Report—Delivered at Flight End, Every Time

Eliminate the manual effort of building post-campaign wrap decks. This agent pulls performance data across your ad stack at flight completion; synthesizes delivery, placement, creative, and outcome metrics; and generates a polished advertiser-ready wrap report—saving your analyst team hours per campaign while consistently impressing media buyers with speed and depth.

Agentic Workflow Steps:

1. Trigger: Scheduled at campaign end date, or on demand for mid-flight check-ins
2. Pull Delivery Data: Queries your ad server (Google Ad Manager or connected platform) for impressions, clicks, CTR, viewability, completion rates, and frequency by placement and creative
3. Pull Measurement Data: Retrieves attribution and outcome signals from Kochava or connected MMP: app installs, conversions, ROAS, and downstream LTV by placement and channel
4. Pull Analytics Data: Ingests post-click behavior and audience insights from Google Analytics to round out the advertiser performance story
5. Synthesize & Generate: AI applies the Wrap Report Skill: structured flight summary, top-performing placements and creatives, goal vs. actual delivery, key insights, and recommended strategies for the next flight
6. Deliver: Sends the formatted wrap report directly to the advertiser contact via email and saves it to the shared Google Drive folder for the account team—no manual handoff required

Agentic Yield Optimizer

Yield Optimization & Autonomous Campaign Management

Stop reviewing performance reports and manually adjusting delivery after the fact. This agent ingests signals from your measurement layer, analyzes placement, creative, and sub-publisher performance, and autonomously executes optimizations—pausing underperforming campaigns, boosting top performers, and reallocating delivery—via direct API connections to your ad stack. Human-in-the-loop gates ensure that your team controls high-stakes decisions while routine optimization runs itself around the clock.

Agentic Workflow Steps:

1. Trigger: Scheduled daily or on a configurable optimization cycle aligned to your flight cadence
2. Pull Measurement Signals: Reads attribution, conversion, ROAS, and LTV data from your connected MMP (Kochava or any supported partner) to establish a ground-truth outcome baseline for every active campaign
3. Pull Delivery Data: Retrieves impressions, CTR, viewability, completion rates, and pacing data from Google Ad Manager and all other connected ad delivery platforms, broken down by placement, creative, daypart, and sub-publisher
4. Agentic Analysis: AI model identifies placements, creatives, and sub-publishers that are significantly over- or underperforming against advertiser KPIs; surfaces delivery inefficiencies, high-CPC creative clusters, daypart yield gaps, and sub-publisher quality signals simultaneously
5. Automate Optimizations: Via write connectors, agent executes approved actions directly in your ad stack—pausing underperforming line items, increasing delivery weight on top-performing placements, adjusting creative rotation, reallocating impressions across sub-publishers—no manual logins required
6. Human-in-the-Loop Review: High-impact decisions (e.g., pausing a campaign above a defined delivery threshold or reallocating more than X% of impressions) are flagged for ad ops review and approval before action is taken, keeping humans in control of critical choices
7. Log & Report: Delivers a structured optimization summary to the ad ops Slack channel and saves a full change log to Google Drive for audit, QBR preparation, and advertiser transparency

In-Flight Campaign Monitor

Daily In-Flight Campaign Analysis—Insights Before Issues Become Problems

Stop waiting for the end of a flight to learn what’s working. This agent runs every morning, pulling in-flight performance across every active campaign, surfacing anomalies and delivery gaps, then generating a structured insight summary your campaign team can act on—before the day’s impressions are served.

Agentic Workflow Steps:

1. Trigger: Scheduled every morning at 7:00 AM during active campaign flights
2. Pull In-Flight Data: Retrieves prior day delivery data from all connected ad platforms: impressions, clicks, CTR, viewability, CPM, and pacing, segmented by placement, creative, and line item
3. Pull Outcome Signals: Queries connected MMP for conversion, install, and ROAS signals to connect delivery data to real advertiser outcomes—not just delivery metrics
4. Detect Anomalies: Identifies campaigns pacing off target, placements with sudden CTR drops, creatives showing fatigue signals, and delivery quality issues requiring same-day attention
5. Generate Insights Report: AI applies the In-Flight Analysis Skill to produce a structured summary: top findings, flagged anomalies, best-performing placements and creatives, and recommended optimizations for the day
6. Deliver to Team: Posts insight summary to the campaign management Slack channel and emails the account lead, so decisions are in hand before the morning standup

Dayparting Intelligence

Rapid Dayparting & Creative A/B Analysis—Act on What’s Working Now

Don’t wait until the post-campaign wrap to discover that 9–11 AM outperformed every other daypart by 2X or that creative B drove 40% more conversions. This agent analyzes performance by hour, daypart, and creative variant continuously, surfacing actionable intelligence your team can act on in-flight, not in the debrief.

Agentic Workflow Steps:

1. Trigger: Scheduled every morning and midday during active flights, or on demand
2. Pull Hourly Delivery Data: Retrieves impression, click, and conversion data broken down by hour and creative variant from your connected ad platform
3. Pull Outcome Data by Creative: Queries your MMP for conversion and ROAS signals attributed to specific creatives and delivery windows to go beyond click metrics
4. Analyze Daypart Performance: Identifies top- and bottom-performing hours and dayparts, calculates relative CPM and CPA efficiency by time window, and flags underserved high-performance windows
5. Analyze Creative A/B Performance: Compares creatives head to head on delivery efficiency, engagement rate, and downstream conversion, surfacing a clear winner with supporting data for the team to act on
6. Generate & Deliver Recommendations: Posts a structured dayparting and creative insight summary to the Slack campaign channel with clear recommended adjustments the team can implement immediately

Sub-Publisher Analysis

Sub-Publisher & Placement Performance Analysis —Know Your Inventory Inside Out

When you’re aggregating inventory across sub-publishers or a network of placements, the performance delta between your best and worst sources can be enormous—and manual analysis rarely catches it fast enough. This agent continuously evaluates delivery quality, outcome performance, and cost efficiency across every sub-publisher and placement in your network, so your team always knows where to concentrate delivery and where to pull back.

Agentic Workflow Steps:

1. Trigger: Scheduled weekly or on demand when new campaigns launch or sub-publishers are added
2. Pull Sub-Publisher & Placement Data: Retrieves impressions, CTR, viewability, completion rate, and CPM from your ad server segmented by sub-publisher, site, and placement type
3. Pull Outcome Data: Queries your MMP for conversion, install, and ROAS signals attributed to each sub-publisher and placement, connecting inventory quality to real advertiser results
4. Rank & Score Inventory: AI ranks each sub-publisher and placement on a composite performance score covering delivery quality, engagement, and outcome efficiency, surfacing clear tiers of top performers and underperformers
5. Generate Optimization Recommendations: Identifies where to concentrate future delivery, which sub-publishers to reduce or remove, and where advertiser performance could be improved through inventory reallocation
6. Log & Distribute: Saves the sub-publisher performance report to Google Drive and posts a summary to the ad ops Slack channel, with flagged action items for the team to review and implement

Delivery Pacing Monitor

Campaign Delivery Pacing Monitor—Know Every Morning If You’re On Track

When you’re committed to delivering 10M impressions over a 30-day flight, or when a performance campaign has an outcome goal you’re accountable for hitting, pacing isn’t just an operational concern, it’s a trust issue with your advertiser. This agent monitors every active campaign against its contracted delivery targets and outcome performance goals daily, flags over- and under-indexing before it compounds, and surfaces recommended corrective actions so your team can make moves before advertisers notice the gap.

Agentic Workflow Steps:

1. Trigger: Scheduled weekly or on demand when new campaigns launch or sub-publishers are added
2. Pull Sub-Publisher & Placement Data: Retrieves impressions, CTR, viewability, completion rate, and CPM from your ad server segmented by sub-publisher, site, and placement type
3. Pull Outcome Data: Queries your MMP for conversion, install, and ROAS signals attributed to each sub-publisher and placement, connecting inventory quality to real advertiser results
4. Rank & Score Inventory: AI ranks each sub-publisher and placement on a composite performance score covering delivery quality, engagement, and outcome efficiency, surfacing clear tiers of top performers and underperformers
5. Generate Optimization Recommendations: Identifies where to concentrate future delivery, which sub-publishers to reduce or remove, and where advertiser performance could be improved through inventory reallocation
6. Log & Distribute: Saves the sub-publisher performance report to Google Drive and posts a summary to the ad ops Slack channel, with flagged action items for the team to review and implement