Google Ads + Google Ad Manager

Stop Running Two Ad Platforms Blind: Connect Google Ads with Google Ad Manager

Automate campaign data flows between Google Ads and Google Ad Manager to cut manual reporting, reduce wasted spend, and get a complete picture of your advertising performance.

Why integrate Google Ads and Google Ad Manager?

Google Ads and Google Ad Manager sit at the center of most enterprise digital advertising stacks — one running paid search and display acquisition, the other controlling programmatic inventory and direct-sold ad operations. But even within the same Google ecosystem, data silos between the two platforms force media teams to reconcile reports by hand, duplicate line item configurations, and make optimization calls without a unified performance picture. Integrating Google Ads with Google Ad Manager on tray.ai closes that gap: synchronized data, automated reporting pipelines, and coordinated campaign management across both platforms.

Automate & integrate Google Ads & Google Ad Manager

Use case

Unified Cross-Platform Performance Reporting

Pull campaign metrics from Google Ads — impressions, clicks, conversions, cost-per-acquisition — and merge them with delivery and revenue data from Google Ad Manager into one consolidated dashboard or data warehouse. Media teams get a complete view of paid and programmatic performance without manual exports or spreadsheet work. Stakeholders can see blended CPMs, total reach, and revenue attribution across both platforms in real time.

Use case

Automated Audience Segment Synchronization

When a remarketing audience is built or updated in Google Ads — high-value converters, cart abandoners, engaged site visitors — automatically push matching audience definitions or deal targeting parameters into Google Ad Manager. Your programmatic guaranteed and preferred deals stay targeted to the same refined segments as your paid search and display campaigns. Consistent audience logic across both platforms means fewer wasted impressions and better overall campaign yield.

Use case

Budget Pacing Alerts and Bid Adjustments

Monitor budget consumption in Google Ads and cross-reference against guaranteed delivery commitments tracked in Google Ad Manager. When a Google Ads campaign overpaces or underpaces against daily budgets, trigger automated alerts to media planners and optionally adjust bid strategies or Google Ad Manager floor prices to rebalance inventory allocation. This coordination prevents aggressive paid campaigns from cannibalizing premium programmatic inventory.

Use case

Creative Asset and Line Item Sync

When a new ad creative is approved and activated in Google Ads, automatically create or update corresponding line items and creatives in Google Ad Manager so the same messaging runs consistently across paid and programmatic placements. No duplicated creative trafficking, and brand campaigns maintain visual and messaging consistency regardless of which platform is serving the impression. Creative retirement syncs too, so outdated assets are paused in both systems at once.

Use case

Conversion and Revenue Data Feedback Loop

Feed conversion events and revenue data captured in Google Ad Manager — completed video views, content engagements, publisher-side revenue signals — back into Google Ads as offline conversion imports or custom signals. This gives Google Ads bidding algorithms downstream revenue context the platform can't natively access, so Smart Bidding decisions account for the full monetization picture rather than just last-click conversions.

Use case

Competitive Exclusion and Brand Safety Coordination

When a direct-sold advertiser in Google Ad Manager has exclusivity clauses or competitive separation requirements, automatically flag competing Google Ads campaigns and suppress them from relevant placements or audiences. This prevents a premium direct-sold deal from being undermined by conflicting programmatic or paid campaigns running at the same time. Brand safety lists and content exclusions can also sync in both directions to maintain consistent advertiser standards.

Use case

Campaign Launch and Trafficking Workflow Automation

When a new campaign is approved in your project management or CRM system, trigger a workflow that simultaneously creates the campaign structure in Google Ads and the corresponding order, line items, and targeting in Google Ad Manager. No dual-entry burden on ad ops teams, and campaign launch time drops from days to hours. Status updates from both platforms flow back to the source system so stakeholders always know where things stand.

Get started with Google Ads & Google Ad Manager integration today

Google Ads & Google Ad Manager Challenges

What challenges are there when working with Google Ads & Google Ad Manager and how will using Tray.ai help?

Challenge

Reconciling Mismatched Reporting Schemas Across Both Platforms

Google Ads and Google Ad Manager use different data models, metric definitions, and reporting dimensions. Impressions counted in Google Ads don't map directly to filled impressions in Google Ad Manager, and date/time reporting can differ based on time zone configurations. Reconciling these reports by hand is error-prone and slow for media and analytics teams.

How Tray.ai Can Help:

tray.ai's data transformation tools let teams build custom field mappings and normalization logic between the two APIs. You can apply calculated fields to reconcile metric definitions, standardize time zone offsets, and produce a unified reporting schema that the workflow maintains automatically — no manual reconciliation needed.

Challenge

Managing API Rate Limits When Syncing Large Campaign Portfolios

Both Google Ads and Google Ad Manager enforce API rate limits and quotas that can throttle large bulk operations — syncing thousands of line items, creative assets, or audience segments simultaneously. Without careful throttling, automated workflows risk hitting quota limits and failing mid-sync, leaving both platforms out of step.

How Tray.ai Can Help:

tray.ai workflows include built-in rate limiting controls, retry logic with exponential backoff, and chunked batch processing. You can configure workflows to process records in safe batch sizes, respect API quotas, and automatically retry failed API calls — so large portfolio syncs finish reliably without manual babysitting.

Challenge

Keeping Authentication and Permissions Current Across Both APIs

Google Ads and Google Ad Manager both require OAuth 2.0 authentication with separate credential sets, and enterprise accounts often involve multiple manager accounts, network IDs, and permission scopes. Token expiration, scope changes, or account restructuring can silently break integrations with no clear error surfacing.

How Tray.ai Can Help:

tray.ai's connector authentication layer handles OAuth token refresh automatically for both Google Ads and Google Ad Manager connections. You configure authentication once, and tray.ai manages the token lifecycle from there. Workflow-level error handling surfaces authentication failures as actionable alerts rather than silent failures.

Challenge

Handling Structural Mismatches Between Campaign Hierarchies

Google Ads organizes campaigns into accounts, campaigns, ad groups, and ads. Google Ad Manager uses networks, orders, line items, and creatives. These hierarchies don't map one-to-one, which makes building reliable bidirectional sync logic genuinely tricky — especially when campaigns in one platform need to correspond to multiple entities in the other.

How Tray.ai Can Help:

tray.ai's workflow logic — conditional branching, lookup tables, data transformation steps — lets you build custom mapping rules that translate between the two hierarchies. You can maintain a mapping table in a Google Sheet or database that tray.ai references at runtime to correctly match entities across platforms without hardcoding brittle assumptions.

Challenge

Keeping Data Consistent When Both Platforms Change at the Same Time

When media teams are actively making changes in both Google Ads and Google Ad Manager simultaneously, automated sync workflows can run into race conditions — overwriting a manual change in one platform with stale data from the other, or triggering conflicting updates that leave records in a bad state.

How Tray.ai Can Help:

tray.ai supports timestamp-based conflict resolution logic and conditional update steps that check a record's last-modified timestamp before writing changes. Workflows can be configured to treat the most recently updated platform as the source of truth, log conflicts for human review, and send alerts when concurrent changes are detected — preventing silent data corruption.

Start using our pre-built Google Ads & Google Ad Manager templates today

Start from scratch or use one of our pre-built Google Ads & Google Ad Manager templates to quickly solve your most common use cases.

Google Ads & Google Ad Manager Templates

Find pre-built Google Ads & Google Ad Manager solutions for common use cases

Browse all templates

Template

Google Ads + Google Ad Manager Daily Performance Digest

Every morning, this template pulls the previous day's campaign performance data from Google Ads and delivery data from Google Ad Manager, merges the records by date and placement, and posts a formatted summary to a Slack channel or Google Sheet — giving media teams a unified daily briefing without manual exports.

Steps:

  • Schedule a daily trigger at a configured time each morning
  • Query yesterday's campaign metrics from Google Ads via the API, including impressions, clicks, spend, and conversions
  • Query yesterday's delivery and revenue data from Google Ad Manager, including filled impressions, unfilled rate, and eCPM
  • Merge and format the combined dataset into a structured performance summary
  • Post the digest to a designated Slack channel and append rows to a shared Google Sheet for historical tracking

Connectors Used: Google Ads, Google Ad Manager

Template

Sync New Google Ads Audiences to Google Ad Manager Targeting

Whenever a remarketing or customer match audience is created or significantly updated in Google Ads, this template automatically creates or refreshes a matching audience segment targeting rule in Google Ad Manager, so programmatic deals and direct-sold line items always reflect the latest audience data.

Steps:

  • Detect a new or updated audience list in Google Ads using a scheduled poll or webhook trigger
  • Extract audience definition details including rules, membership duration, and estimated size
  • Search Google Ad Manager for an existing matching audience target or create a new custom targeting key-value pair
  • Apply the audience target to designated line items or deal configurations in Google Ad Manager
  • Log the sync event and send a confirmation notification to the ad ops team

Connectors Used: Google Ads, Google Ad Manager

Template

Mirror Approved Creatives from Google Ads to Google Ad Manager

When a creative is approved and set to active status in Google Ads, this template automatically traffics the equivalent creative into Google Ad Manager — uploading assets, configuring click-through URLs, and associating the creative with the correct line items — eliminating manual re-trafficking and keeping brand messaging consistent.

Steps:

  • Poll Google Ads for creatives that have recently changed status to 'ENABLED' or 'APPROVED'
  • Download creative assets and extract metadata including dimensions, click URLs, and tracking parameters
  • Upload the creative assets to Google Ad Manager and create a new creative record with matching metadata
  • Associate the new creative with the designated line items in Google Ad Manager based on a mapping table
  • Update a tracking spreadsheet and notify the creative team of successful trafficking

Connectors Used: Google Ads, Google Ad Manager

Template

Google Ad Manager Revenue to Google Ads Offline Conversion Import

This template captures revenue and engagement signals from Google Ad Manager on a scheduled basis and formats them as offline conversion events to import into Google Ads, feeding Smart Bidding algorithms with downstream monetization data to improve bid optimization beyond last-click signals.

Steps:

  • Run a scheduled query against the Google Ad Manager reporting API to extract completed conversion events with associated impression and click IDs
  • Map Google Ad Manager impression IDs to Google Ads click IDs using a shared click-tracking lookup table
  • Format the matched records as an offline conversion upload file following the Google Ads API specification
  • Upload the formatted conversion data to Google Ads via the OfflineConversionUploadService
  • Log import results and flag any unmatched records for manual review

Connectors Used: Google Ads, Google Ad Manager

Template

Campaign Launch Orchestration Across Google Ads and Google Ad Manager

When a new campaign brief is approved in a project management tool like Asana or Jira, this template automatically creates the campaign and ad group structure in Google Ads and the corresponding order and line items in Google Ad Manager at the same time, cutting launch time and eliminating duplicate trafficking work.

Steps:

  • Trigger on a task or ticket moving to 'Approved' status in the connected project management tool
  • Parse campaign parameters from the brief including dates, budgets, targeting, and creative specifications
  • Create the campaign, ad groups, and targeting settings in Google Ads via the API
  • Create the corresponding order, line items, and targeting keys in Google Ad Manager via the API
  • Write campaign IDs from both platforms back to the project management task and notify stakeholders that both systems are live

Connectors Used: Google Ads, Google Ad Manager

Template

Budget Overpacing Alert with Programmatic Floor Price Adjustment

Monitors Google Ads campaign spend rates hourly and, when a campaign is detected overpacing against its daily budget by a configurable threshold, automatically raises Google Ad Manager programmatic floor prices for overlapping placements to protect premium inventory and rebalance traffic allocation.

Steps:

  • Run an hourly scheduled poll against the Google Ads API to calculate current-day spend versus expected pacing for each active campaign
  • Identify campaigns exceeding the configured overpacing threshold (e.g., 115% of expected hourly spend)
  • Query Google Ad Manager to identify programmatic price rules associated with the overpacing campaign's targeted placements
  • Increase the floor price on those Google Ad Manager price rules by a configured percentage to reduce programmatic volume
  • Send an alert to the media team via Slack or email detailing the campaign, overpacing rate, and the floor price adjustment applied

Connectors Used: Google Ads, Google Ad Manager