ETL from Google Analytics to any target in a few clicks

Rivery offers a set of Predefined Reports for Google Analytics for rapid data integration. Using these reports, you can quickly analyze the data without having to learn the intricacies of the way the data is organized within the Google Analytics API. Simply provide your Google Analytics credentials and choose the report to load into your cloud data warehouse.
The Google Analytics data source in Rivery comes with the below predefined reports (click to navigate to the full data structure documentation):

• Demographics Report
  • Demographics Age
  • Demographics City
  • Demographics Country
  • Demographics Gender
  • Demographics Interests
  • Demographics Language
  • Demographics Region
• Engagement Reports
  • Engagement Content Group
  • Engagement Conversions
  • Engagement Events
  • Engagement Pages Path
  • Engagement Pages Title And Screen Class
  • Engagement Pages Title And Screen Name
• E-commerce Purchase Reports
  • Monetization E-commerce Purchases Item Brand
  • Monetization E-commerce Purchases Item Category
  • Monetization E-commerce Purchases Item Category 2
  • Monetization E-commerce Purchases Item Category 3
  • Monetization E-commerce Purchases Item Category 4
  • Monetization E-commerce Purchases Item Category 5
  • Monetization E-commerce Purchases Item Category Report Combined
  • Monetization E-commerce Purchases Item Id
  • Monetization E-commerce Purchases Item Name
• Publisher Ads Reports
  • Monetization Publisher Ads Ad Format
  • Monetization Publisher Ads Ad Source
  • Monetization Publisher Ads Ad Unit
  • Monetization Publisher Ads Page Path
• Tech Reports
  • Tech App Version
  • Tech Browser
  • Tech Device Category
  • Tech Device Model
  • Tech Operating System
  • Tech Os Version
  • Tech Os With Version
  • Tech Platform
  • Tech Platform Device Catagory
  • Tech Screen Resolution
• Traffic Acquisition Reports
  • Traffic Acquisition Session Campaign
  • Traffic Acquisition Session Default Channel Grouping
  • Traffic Acquisition Session Medium
  • Traffic Acquisition Session Source
  • Traffic Acquisition Session Source Medium
  • Traffic Acquisition Session Source Platform
• User Acquisition Reports
  • User Acquisition First User Campaign
  • User Acquisition First User Google Ads Ad Group Name
  • User Acquisition First User Google Ads Network Type
  • User Acquisition First User Medium
  • User Acquisition First User Source
  • User Acquisition First User Source Medium
  • User Acquisition First User Source Platform

Google started sunsetting Universal Analytics (UA was known as Google Analytics) and is now offering Google Analytics 4 (GA4) instead. There are a few differences between UA and GA4 data structures and as a result differences in how GA4 data pipelines should be built. Follow this article to understand the options at hand.

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.