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Google Analytics Overview Report

Why do you need to collect raw data Google Analytics? To get comprehensive, advanced marketing reports and build machine learning models to optimize the advertising spends. In this article, we will explore how you can collect the raw data and what you can do with it.

Why you need Google Analytics raw data?

Google Analytics is the most used web analytics tool around the world. It is free to use and quick to setup. It provides reports and insights on user behavior, acquisition channels, audience reports, etc.

However, the free version limits the businesses from getting into deeper slice and dice of the data.

  • Beyond a point, all reports are based on sampled data, which may lead to wrong business decisions.
  • Google Analytics reports are always aggregated and beyond your control.
  • Data processing may take up to 24-48 hours to complete.
  • Google Analytics has its own way of recognizing traffic sources.
  • Only a few metrics are available in real-time reports.

You can solve these problems if you have access to the raw data. But, unfortunately, Google Analytics free version does not give you access to the raw data, and purchasing Google Analytics 360 is a very costly affair.

Fortunately, we have a system to collect raw Google Analytics data into your data warehouse. You can run any query you want and build any machine learning model you want.

How to get Google Analytics raw data?

Place a small tracking code on your website to collect all the hits sent to GA to Dblue Collector in parallel. This will not affect the current GA setup. All the hit level data will be available in Google BigQuery data warehouse within minutes. We also process the hit level data and enrich so that you have the better experience writing the queries to build your own reports,

  • Extract device and browser information from the user agent
  • Split page URL into path/query params etc.
  • Enhance source/medium using referer URL
  • Geographical information
  • UTM parameters extraction.
  • Extract product information.
  • Extract custom dimensions and custom metrics.
  • Enhanced e-commerce fields extraction etc,

What you can do with raw data?

All the details are extracted and put into separate columns for you to build the queries at the least granular level possible. Here are some of the things you can do with raw data,

  1. User Journey Analysis – Build the path to conversion using first party and third party cookies
  2. Customer Segmentation –  Segment your audience using any number of custom dimensions and any lookback window.
  3. Multi-Touch Attribution – Build an advanced and transparent attribution model.
  4. Connect Offline – Connect offline event data for a deeper understanding of user behavior.
  5. CRM Data – Connect CRM data to qualify the lead and target only high quality leads for better conversion.

You can build your own data connector and data processing systems to collect raw data and transform into a queryable format or contact us to get started.

Contact us to get started today

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