Salesforce Marketing Cloud + Google Ads
Connect Salesforce Marketing Cloud and Google Ads to Unify Your Customer Data and Ad Spend
Automate audience syncing, campaign optimization, and cross-channel reporting between your CRM marketing suite and paid search platform.
Why integrate Salesforce Marketing Cloud and Google Ads?
Salesforce Marketing Cloud and Google Ads are two of the most powerful tools in a modern marketer's stack, but without a direct integration they operate in costly silos. Marketing Cloud holds behavioral, demographic, and lifecycle data about your customers, while Google Ads drives paid acquisition and retargeting at scale — yet getting these platforms to share data typically requires manual exports, custom scripts, or expensive middleware. On tray.ai, marketing and demand generation teams can close the loop between customer intelligence and ad spend so every campaign works with what you already know about your customers.
Automate & integrate Salesforce Marketing Cloud & Google Ads
Use case
Sync Marketing Cloud Audience Segments to Google Ads Customer Match
Automatically export audience segments built in Salesforce Marketing Cloud — based on email engagement, purchase history, or journey stage — into Google Ads Customer Match lists. As segment membership changes in Marketing Cloud, Google Ads lists update in real time, so your targeting always reflects current customer data. This cuts the lag of weekly CSV exports and keeps suppression and retargeting lists accurate.
Use case
Trigger Marketing Cloud Journeys Based on Google Ads Conversions
When a prospect converts on a Google Ads campaign — filling out a lead form, making a purchase, or downloading an asset — tray.ai can instantly push that conversion event into Salesforce Marketing Cloud to trigger the right journey. A new lead from a search ad gets enrolled in a nurture sequence within minutes, while a repeat purchaser gets routed to a loyalty upsell flow. No more gap between paid acquisition and owned-channel follow-up.
Use case
Suppress Existing Customers and Active Leads from Paid Acquisition Campaigns
Automatically sync active Marketing Cloud journey members, existing customers, and recently converted leads to Google Ads exclusion lists so your acquisition budget isn't spent on people already in your funnel. As contacts change status in Marketing Cloud — converting to customers, unsubscribing, or entering a re-engagement flow — their suppression status in Google Ads updates automatically. Your cost-per-acquisition stays low and your customer experience stays consistent.
Use case
Build Lookalike and Similar Audiences from High-Value Marketing Cloud Segments
Use your best Marketing Cloud audience segments — top-spending customers, highly engaged email subscribers, or completed journey members — as seed lists for Google Ads Similar Audiences and Performance Max audience signals. tray.ai continuously updates these seed lists as segment membership changes, so your lookalike targeting stays current without manual work. You can scale acquisition by finding new prospects who look like your most valuable existing customers.
Use case
Unify Cross-Channel Attribution and Reporting
Automatically pull Google Ads campaign performance metrics — impressions, clicks, spend, and conversions — into Salesforce Marketing Cloud Intelligence (Datorama) or a centralized reporting data extension, then correlate that data with email, SMS, and journey engagement. Marketing teams get a single view of how Google Ads campaigns influence downstream Marketing Cloud engagement and vice versa. No more manually reconciling numbers across platform-native dashboards.
Use case
Automate Google Ads Budget and Bid Adjustments Based on Marketing Cloud Engagement Signals
When Marketing Cloud signals a spike in email engagement, a surge in journey entries, or a seasonal campaign launch, tray.ai can automatically adjust Google Ads campaign budgets, bidding strategies, or ad scheduling to act on that demand. When engagement drops or a journey is paused, ad spend scales back to prevent waste. It's a live connection between your email and paid channels that doesn't require anyone to manually log into both platforms.
Use case
Enrich Marketing Cloud Contact Records with Google Ads Click and Campaign Data
When a contact interacts with a Google Ads campaign and later engages with a Marketing Cloud email or landing page, tray.ai writes the Google Ads campaign, ad group, and keyword attribution data back to the corresponding Marketing Cloud contact record. Marketers can then segment, personalize, and report based on paid acquisition source without leaving Marketing Cloud. This first-party attribution data sticks around long after third-party cookies are gone.
Get started with Salesforce Marketing Cloud & Google Ads integration today
Salesforce Marketing Cloud & Google Ads Challenges
What challenges are there when working with Salesforce Marketing Cloud & Google Ads and how will using Tray.ai help?
Challenge
PII Hashing and Privacy Compliance for Customer Match Uploads
Google Ads Customer Match requires that all personally identifiable information — email addresses, phone numbers, and names — be SHA-256 hashed before upload. Marketing teams using manual CSV exports frequently get this wrong, uploading unhashed data or using incorrect formatting, which causes audience uploads to fail silently or puts you offside with GDPR and CCPA requirements.
How Tray.ai Can Help:
tray.ai's workflow builder applies SHA-256 hashing to PII fields before any data leaves Salesforce Marketing Cloud on its way to Google Ads, so every Customer Match upload is compliant by design. Data never passes through insecure intermediate storage, and the hashing step is auditable and version-controlled within the workflow so your compliance team can actually see what's happening.
Challenge
Keeping Audience Lists Fresh Without Overwhelming the Google Ads API
Salesforce Marketing Cloud segments can contain hundreds of thousands of contacts that change membership frequently as journey statuses, purchase behaviors, and engagement scores update. Uploading entire audience lists on every change is inefficient and can trigger Google Ads API rate limits, while uploading too infrequently means your targeting data is stale and your ad spend is going to the wrong people.
How Tray.ai Can Help:
tray.ai supports delta-sync logic — it identifies only the contacts added to or removed from a Marketing Cloud segment since the last sync and uploads just those changes to Google Ads. This cuts API call volume significantly, keeps audience lists current without brute-force full uploads, and lets teams run syncs as frequently as every few minutes without hitting rate limits.
Challenge
Matching Contacts Across Platforms Without a Shared Unique Identifier
Salesforce Marketing Cloud identifies contacts using its own Subscriber Key or Contact Key, while Google Ads matches audiences using hashed email addresses, phone numbers, or device identifiers. When a contact converts in Google Ads, there's no native way to automatically find and update the right Marketing Cloud record, so attribution and journey trigger logic ends up as a manual process or a custom dev project.
How Tray.ai Can Help:
tray.ai provides flexible lookup and matching logic within workflows, so teams can define their own identity resolution rules — like matching on normalized email address or phone number — to reliably connect Google Ads conversion data with Salesforce Marketing Cloud contact records. The platform handles edge cases like mismatched formatting, duplicate records, and partial matches without custom code.
Challenge
Orchestrating Multi-Step Data Flows Across Salesforce Marketing Cloud's Complex API Surface
Salesforce Marketing Cloud exposes data through multiple distinct API families — the REST API, SOAP API, and Fuel SDK — and operations like querying data extensions, firing journey events, and managing audiences each need different authentication contexts and endpoint patterns. Teams that build custom integrations with Google Ads routinely underestimate this and end up with brittle scripts that break whenever Marketing Cloud API versions change.
How Tray.ai Can Help:
tray.ai abstracts Salesforce Marketing Cloud's multi-API architecture behind a single connector that handles authentication token management, API version compatibility, and retry logic automatically. Marketing and engineering teams can build reliable Google Ads integration workflows in a visual builder without needing to know the difference between Marketing Cloud's SOAP API and its REST API, or how to manage OAuth token refresh cycles.
Challenge
Attributing Google Ads Spend to Marketing Cloud Journey Outcomes Without Third-Party Cookies
As third-party cookie deprecation continues, traditional click-path attribution between Google Ads and Marketing Cloud email journeys is increasingly unreliable. Marketing teams struggle to connect which Google Ads campaigns actually drive downstream email engagement, journey completions, or revenue — so budget decisions end up based on incomplete data.
How Tray.ai Can Help:
tray.ai writes Google Ads campaign, ad group, and click identifiers directly to Salesforce Marketing Cloud contact attributes at the moment of conversion, creating a durable, cookieless record of the paid acquisition touchpoint. That data stays on the contact record through every subsequent journey stage, so Marketing Cloud Intelligence reports can accurately attribute journey outcomes to specific Google Ads campaigns without relying on browser-based tracking.
Start using our pre-built Salesforce Marketing Cloud & Google Ads templates today
Start from scratch or use one of our pre-built Salesforce Marketing Cloud & Google Ads templates to quickly solve your most common use cases.
Salesforce Marketing Cloud & Google Ads Templates
Find pre-built Salesforce Marketing Cloud & Google Ads solutions for common use cases
Template
Sync Marketing Cloud Data Extension to Google Ads Customer Match List
This template monitors a specified Salesforce Marketing Cloud data extension for new or updated records and automatically syncs the contact list to a corresponding Google Ads Customer Match audience. It hashes PII fields like email and phone number to meet Google's privacy requirements before upload, then logs the sync result back to Marketing Cloud for auditing.
Steps:
- Trigger on a schedule or data extension update event in Salesforce Marketing Cloud to retrieve current segment members
- Hash contact identifiers (email, phone, first/last name) using SHA-256 to comply with Google Ads Customer Match requirements
- Upload the hashed audience list to the target Google Ads Customer Match list via the Google Ads API
- Log the sync timestamp, record count, and any errors back to a Marketing Cloud data extension for reporting
Connectors Used: Salesforce Marketing Cloud, Google Ads
Template
Enroll Google Ads Lead Form Conversions into Marketing Cloud Journey
When a prospect submits a Google Ads lead generation form, this template captures the lead data via webhook, creates or updates the contact record in Salesforce Marketing Cloud, and immediately enrolls them in the right journey based on the campaign they converted from. Campaign name and ad group are written to the contact record as attributes for downstream personalization and reporting.
Steps:
- Receive Google Ads lead form submission data via webhook or Google Ads API lead delivery endpoint
- Look up or create the contact record in Salesforce Marketing Cloud using the email address as the primary key
- Write Google Ads campaign name, ad group, and keyword data to custom attributes on the Marketing Cloud contact record
- Fire a Marketing Cloud API event to enroll the contact in the journey mapped to the specific Google Ads campaign
Connectors Used: Salesforce Marketing Cloud, Google Ads
Template
Daily Google Ads Performance Report Sync to Marketing Cloud Intelligence
This template runs on a daily schedule to pull campaign-level performance metrics from Google Ads — including impressions, clicks, cost, conversions, and ROAS — and writes them to a Salesforce Marketing Cloud Intelligence (Datorama) dataset or a Marketing Cloud data extension. Teams can then build unified dashboards that combine Google Ads data with email and journey performance metrics.
Steps:
- Trigger daily via tray.ai scheduler and query the Google Ads API for yesterday's campaign, ad group, and keyword performance data
- Transform and normalize the Google Ads metrics to match the schema of the target Marketing Cloud Intelligence dataset or data extension
- Upsert the performance records into Marketing Cloud Intelligence or a reporting data extension
- Optionally trigger a Marketing Cloud email or Slack notification to alert the team that the daily report has been refreshed
Connectors Used: Salesforce Marketing Cloud, Google Ads
Template
Suppress Marketing Cloud Journey Members from Google Ads Acquisition Campaigns
This template runs on a recurring schedule to export contacts currently active in specified Marketing Cloud journeys — such as onboarding, trial, or post-purchase flows — and adds them to a Google Ads exclusion list so acquisition budget isn't spent on people already in the funnel. When contacts exit those journeys, they're automatically removed from the exclusion list.
Steps:
- Query Salesforce Marketing Cloud for all contacts currently active in designated suppression journeys using the Journey Builder API
- Compare the current suppression list against the existing Google Ads exclusion audience to identify adds and removals
- Update the Google Ads Customer Match exclusion list with new suppressions and remove contacts who have exited the journey
- Log a summary of changes to a Marketing Cloud data extension for compliance and auditing purposes
Connectors Used: Salesforce Marketing Cloud, Google Ads
Template
Update Google Ads Bidding Strategy Based on Marketing Cloud Email Engagement Surge
When Salesforce Marketing Cloud detects a significant spike in email open rates or click-through rates for a specific product or campaign, this template automatically increases Google Ads campaign budgets or switches to a more aggressive bidding strategy to act on the demand. When engagement normalizes, the original settings are restored.
Steps:
- Monitor Marketing Cloud email send performance via API and detect when open or click rates exceed a defined engagement threshold
- Identify the Google Ads campaigns mapped to the same product line or audience segment showing the engagement spike
- Use the Google Ads API to temporarily increase the campaign budget or switch the bid strategy to Maximize Conversions
- After a defined window (e.g., 48 hours), reset the Google Ads campaign settings to baseline and log the change for reporting
Connectors Used: Salesforce Marketing Cloud, Google Ads
Template
Write Google Ads Conversion Data Back to Marketing Cloud Contact Attributes
This template listens for conversion events recorded in Google Ads — such as purchases, sign-ups, or form completions — matches them to existing Marketing Cloud contacts by email or phone, and writes the conversion details back as contact attributes. Marketers can then segment, trigger next-step journeys, and build attribution reports entirely within Marketing Cloud.
Steps:
- Poll the Google Ads API on a scheduled basis to retrieve newly recorded conversion events with associated contact identifiers
- Match each conversion record to a Salesforce Marketing Cloud contact using email address or phone number as the lookup key
- Write conversion type, campaign name, conversion value, and conversion date to custom attributes on the Marketing Cloud contact record
- Trigger a Marketing Cloud journey event if the conversion qualifies the contact for a new post-conversion nurture flow
Connectors Used: Salesforce Marketing Cloud, Google Ads