Google Ad Manager Integration

Google Ad Manager Integration | Publisher Revenue Hub

Connect Google Ad Manager and let AI agents query impressions, fill rates, and programmatic revenue across all your ad units and line items.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to Google Ad Manager
Which Google Ad Manager line items had CTR above 2.5% last month, and what was the total revenue?
Your top performers delivered $847,392 in revenue across 23 line items. The Display Retargeting segment led with 3.8% CTR, followed by Video Pre-Roll at 3.2% CTR, while your average eCPM reached $12.40 and total impressions hit 68.3M.
How does fill rate compare between direct-sold and programmatic inventory for these high-CTR line items?
Direct-sold inventory maintained a 94.2% fill rate with $9.80 eCPM, while programmatic achieved 87.6% fill rate at $14.20 eCPM. Your programmatic demand generated $312,450 in incremental revenue despite the lower fill rate, suggesting optimization opportunities in direct sales pricing.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
Google Ad Manager Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect Google Ad Manager seamlessly

Improvado connects directly to the Google Ad Manager API to extract comprehensive ad serving and inventory data. Our platform pulls impressions, clicks, revenue, fill rates, and programmatic performance from all your ad units and line items. Data refreshes every hour to keep your publisher analytics current. No manual report generation or data exports needed from the Ad Manager interface.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Google Ad Manager API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor Google Ad Manager through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Unified publisher revenue analytics

Improvado's Marketing Common Data Model standardizes Google Ad Manager metrics alongside data from other ad networks, affiliate programs, and revenue sources. Ad unit performance, CPMs, and fill rates align with traffic data from Google Analytics and content performance metrics. This unified approach gives publishers complete revenue attribution across all monetization channels. Your team can optimize inventory allocation and pricing strategies based on comprehensive performance data.

Google Ad Manager API v202311 · OAuth 2.0 · 3-hourly sync · incremental
Schema Overview

Data objects and fields Improvado extracts from Google Ad Manager

Object Fields
Line Item
costType costPerUnit impressionsDelivered clicksDelivered budget status
Order
totalImpressionsDelivered totalClicksDelivered status startDateTime endDateTime
Creative
size previewUrl impressions clicks CTR
Inventory
adUnitId impressions clicks revenue fillRate
Reservation
impressions clicks revenue CPM CTR
How it works

From connection to autonomous action in three steps

1

Connect

Authenticate Google Ad Manager via OAuth in under 5 minutes. Improvado normalizes your data across 1,000+ sources automatically.

2

Ask

Your AI agent queries Google Ad Manager in natural language. Trends, anomalies, cross-channel comparisons — one conversation.

3

Act

The agent pauses underperformers, adjusts settings, generates executive reports, and monitors anomalies — every action logged.

Use Cases

What teams ask their AI agent about Google Ad Manager

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Optimize ad inventory by analyzing fill rates and CPMs across all ad networks and direct sales

Your AI agent analyzes Google Ad Manager data and delivers actionable insights — automatically, in seconds.

6 hrs → 30 min
A
Improvado Agent Cross-channel

Maximize revenue by combining Ad Manager data with website traffic and content performance

Your AI agent analyzes Google Ad Manager data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Generate publisher reports showing revenue performance across all monetization channels

Your AI agent analyzes Google Ad Manager data and delivers actionable insights — automatically, in seconds.

4 hrs → 15 min
AI Agent Access

Your agent doesn't just read Ad Manager — it finds revenue gaps

Read

Your agent reads comprehensive Google Ad Manager data including line item performance metrics (impressions, clicks, CTR, eCPM, revenue), inventory reports (fill rate, available impressions, ad unit performance), order and campaign analytics, audience segment breakdowns, geographic and device dimensions, historical trends, and programmatic vs direct-sold comparisons. It accesses Network, Order, Line Item, Creative, and Ad Unit reporting with full dimension and metric granularity.

Write

The agent writes custom exports formatted for your analytics stack, generates scheduled performance reports with your chosen metrics and dimensions, creates executive dashboards with KPI summaries, and builds automated data pipelines to your warehouse or BI platform. It can structure outputs as CSV, JSON, or direct database inserts with configurable refresh schedules.

Monitor

Your agent continuously monitors critical thresholds like fill rate drops below 85%, CTR declines exceeding 20%, revenue pacing behind forecast by 10%+, or inventory shortfalls in high-value ad units. It detects anomalies in delivery patterns, identifies sudden changes in eCPM or viewability rates, and sends real-time alerts to designated channels when performance deviates from expected ranges.

AI agents query impressions, clicks, revenue, fill rates, and CPMs from all ad units and line items. They can identify underperforming inventory, compare programmatic versus direct sales performance, and calculate true yield by combining Ad Manager data with traffic sources. Agents automatically flag when fill rates drop or CPMs decline across specific placements.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · Google Ad Manager
You
Line items with CTR above 2.5% last month?
A
Query result
Line Item CTR Revenue
Display Retargeting - Q1 3.8% $284,120
Video Pre-Roll - Brand Awareness 3.2% $198,340
Native Content - Engagement 2.9% $156,780
Mobile In-App - Acquisition 2.7% $132,450
Desktop Banner - Conversion 2.6% $75,702
Improvado connected Google Ad Manager → synced ads data
You
Fill rate: direct-sold vs programmatic inventory?
A
Report exported
5 items · sent to Slack
Destinations

Send Google Ad Manager data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with Google Ad Manager as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What Google Ad Manager data can Improvado extract?
Improvado extracts ad serving metrics, revenue data, impressions, clicks, fill rates, CPMs, programmatic performance, and inventory analytics. We also pull line item performance, creative data, and audience segment insights from your Ad Manager account.
How often does Google Ad Manager data sync with Improvado?
Data syncs automatically every hour by default to capture the latest ad serving performance and revenue metrics. You can adjust the refresh frequency based on your publisher reporting and optimization needs.
Can I combine Ad Manager data with other ad networks in reports?
Yes, Improvado's Marketing Common Data Model normalizes Google Ad Manager metrics with data from other ad networks and revenue sources. You can analyze total publisher revenue and performance across all monetization channels.
Does the integration support programmatic advertising data?
Yes, Improvado extracts programmatic performance data including header bidding metrics, real-time bidding results, and demand partner performance. This data integrates with direct sales metrics for complete inventory analysis.
What destinations work with Google Ad Manager integration?
Improvado sends Ad Manager data to BigQuery, Snowflake, Redshift, Azure, Tableau, Power BI, Looker, and other analytics platforms. Data arrives in a standardized format ready for publisher revenue analysis.
How does Improvado handle Ad Manager inventory and audience data?
We extract ad unit performance, inventory availability, audience segment data, and targeting insights from Google Ad Manager. This inventory data combines with traffic analytics to optimize ad placement and audience monetization strategies.