How to get started with our Google Ads to Azure Synapse Analytics integration
See Google Ads to Azure Synapse Analytics in action
Put your Google Ads data to use.Deliver Google Ads data at the right time, to the right people.
Everything you need to simplify advanced data integration
Zero Infrastructure to Manage
Managed SQL/Python Modeling
Predictable Value-Based Pricing
Reduced Data Development Waste
No-Code Any Data Ingestion
Efficient Database Replication
Infinite Scale
Integrated Data Activation
Proactive Troubleshooting
Bring all your data together. Integrate data from anywhere
Greg Robinson
Staff Data Scientist
Load Google Ads to any data lake or warehouse
FAQ
Extracting data from Google Ads and integrating it with other data sources, such as Salesforce or marketing platforms, provides a comprehensive view of how advertising efforts impact overall business performance. Here are key reasons for doing this:
Holistic Performance Tracking: By combining Google Ads data (impressions, clicks, conversion rates) with sales or CRM data from sources like Salesforce, you can see not just how many leads your ads generate, but how those leads progress through the funnel and convert into revenue. This helps measure the true ROI of ad spend.
Cross-Channel Attribution: Integrating Google Ads data with other marketing channels (social media, email, organic search) enables accurate attribution of conversions to the right source. It helps identify which ads or marketing strategies are driving the highest value leads.
Campaign Optimization: With a unified dataset, you can pinpoint which keywords, ads, or campaigns contribute to downstream revenue and which are underperforming. This allows for more informed decisions on where to allocate your budget and how to optimize campaigns.
Improved Reporting: Consolidating Google Ads data with other sources, such as financial or sales data in NetSuite, allows for comprehensive reporting. This gives marketing, sales, and finance teams a unified view of marketing performance and its direct effect on revenue.
Using Rivery’s data connectors is very straightforward. Just enter your credentials, define the target you want to load the data into (i.e. Snowflake, BigQuery, Databricks or any data lake and auto map the schema to generate on the target end. You can control the data you need to extract from the source and how often to sync your data. To learn more follow the specific docs.
Yes. All data connectors within Rivery comply with the highest security and privacy standards, including: GDPR, HIPPA, SOC2 and ISO 27001. In addition, when the data flows into your target data warehouse, you can configure it to do so via your own cloud files system vs. Rivery.
The most popular data connectors are for use cases like marketing, sales and finance. These include Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok and more.
Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.
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