Best integrations for Google Ads 2025
These integrations extend Google Ads with enhanced workflows and new capabilities.
Airtable
Synchronize Google Ads data with Airtable for custom dashboards and reporting. Track campaign performance alongside other business metrics. Update ad copy based on Airtable data. Automate data entry and maintain clean data across systems.
Salesforce
Connect Google Ads with Salesforce to link ad spend to sales outcomes. Qualify leads generated by ads and assign them to sales reps. Automate lead capture and reduce manual data entry. Improve ROI tracking and refine ad targeting.
HubSpot
Integrate Google Ads with HubSpot to enrich contact records with ad interaction data. Trigger marketing automation based on ad clicks. Segment audiences for more personalized campaigns. Track ad performance in HubSpot reports.
Google Analytics
Send Google Ads data to Google Analytics for unified web analytics. Track user behavior after ad clicks. Build custom reports with combined data. Create remarketing lists based on website interactions. Refine ad targeting based on insights.
Jira
Link Google Ads campaigns to Jira tickets for project management. Create tasks automatically when ads trigger specific events. Track ad spend related to feature launches. Monitor campaign impact on product adoption metrics.
MySQL
Store Google Ads data in a MySQL database for advanced analysis. Connect the data to BI tools. Build custom dashboards. Archive historical campaign performance. Perform complex queries on ad metrics.
Twilio
Send SMS messages based on Google Ads triggers. Alert sales teams about high-value leads. Automate appointment reminders to improve show rates. Provide instant support through ads. Drive conversions with personalized messaging.
Discord
Post updates from Google Ads to Discord channels. Alert teams about significant performance changes. Share reports and insights. Facilitate faster collaboration. Improve response times during critical campaigns.
Google Cloud Storage
Automatically back up Google Ads data to Google Cloud Storage. Archive historical campaign data. Securely store large datasets. Comply with data retention policies. Prepare data for machine learning analysis.
PostgreSQL
Use PostgreSQL to store and analyze Google Ads data. Build custom reports using SQL queries. Integrate ad data with other business databases. Gain a holistic view of marketing performance. Maintain data security and compliance.