__Analytics Data Pipeline Use Cases

With analytics data pipeline, you can easily gain access to raw unsampled hit-level Google Analytics data in BigQuery or any other data warehouse. All hits are ready for querying in near-real-time.

  • No sampling
  • You own and control the data
  • Secure and flexible storage
  • PII data allowed
  • Data available in near-real-time

A similar setup is available for most digital analytics platforms (Heap, Mixpanel, Adobe Analytics etc.).

Analytics data pipeline makes it easy to load the raw data from Google Ads into BigQuery. This data can then be joined with data from other sources, i.e. Google Analytics, enabling you to get an overview of cost details as well as build custom attribution models.

  • Click-level (gclid) data
  • Data loaded daily
  • Detailed cost data

A similar setup is available for most ads platforms (Facebook Ads, Bing Ads, LinkedIn Ads, Twitter Ads etc.).

Analytics data pipeline can be configured to listen to Mailchimp webhooks – this makes it easy to send all events from Mailchimp to BigQuery or any other data warehouse.

Types of events:

  • Subscribe
  • Unsubscribe
  • Profile update
  • Email address changes
  • Cleaned emails
  • Campaign sending status

A similar setup is available for most marketing platforms (Hubspot, Klaviyo, Sendgrid etc.).

Analytics data pipeline can load data from most e-commerce platforms and send it to BigQuery for reporting and mixing with other data sources.

  • Magento
  • WooCommerce
  • Shopify
  • BigCommerce
  • and many others

Analytics data pipeline lets you collect all of your marketing data in one central data warehouse, BigQuery, for example. All data is stored in a way to make it easy to query in visualize using all of the popular BI and data visualization tools, i.e. Google Data Studio.

  • Custom visualizations
  • Ad-hoc queries
  • Filtering, Sorting, date-ranges
  • Near-real-time access

A similar setup is available for most BI and data visualization platforms (Looker, Tableau, Power BI etc.).

Most tools keep your marketing data in silos. We make sure those silos are broken by exporting data from 3rd party tools into your data warehouse (i.e. BigQuery) where it can be easily joined with data from other sources and exported for reporting, analysis, ML and more.

While Google Analytics doesn’t allow the collection of any PII (personally identifiable information) data, with the analytics data pipeline, you could collect it with your Google Analytics hits but only send it to BigQuery.

This provides a perfect solution for joining Google Analytics data with other sources (CRM, CMS, marketing data, offline data etc.).

Google Analytics has two types of data collection and reporting limits. With analytics data pipeline, you can avoid both of them.

The limits in the Free version of Google Analytics are:

Data collection

  • 500 hits per session
  • 200,000 hits per user per day
  • 10 million hits per month per account


  • 500k sessions at the property level for the date range you are using

Both of these limitations can become an issue for sites collecting millions of hits a month. With analytics data pipeline, you don’t have to worry about any data collection limits or data sampling in your reports.

Analytics data pipeline sends all your marketing data into one central data warehouse, i.e. BigQuery. Our robust API makes it easy to access all this data in real-time and without limitations.

  • Send data to any destination
  • Feed machine learning algorithms
  • Build automated reports and dashboards

With tools like BigQuery ML, Auto ML and others, machine learning has become available to the masses. The only part that’s missing, though, is access to high-quality raw hit-level data that is required for training your models.

With all your marketing data in your data warehouse, you can create models from product recommendations to smarter remarketing campaigns.

Analytics data pipeline integrates with all major A/B testing tools and can mix your experimentation data with other sources like your CRM, analytics platforms, ads data and more.

Wonder what’s the long term impact of your experiments or how does it affect the LTV? With analytics data pipeline, you can easily answer these and many other questions that would otherwise require a lot of custom work.

Analytics data pipeline has an integration for most marketing tools, analytics platforms, ads platforms, CRMs, CMSs, social media platforms, databases and data warehouses.

This ensures your data doesn’t stay in silos and is accessible and provides value to all teams.

If your tool doesn’t have an integration available, our data engineers and developers can create one for you.