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What is GA 4?

What is GA4?

It is a new Google Analytics property with user-focused measurement to provide marketers with smarter insights to improve marketing decisions and get better ROI.

Should you make a switch to GA4?

Yes. Google has announced that the current version (Universal Analytics) will stop processing data on July 1, 2023, GA4 does not have backward data compatibility which means the unavailability of historical data for comparison. Migrating now will ensure you have year-on-year baseline data for comparison.

Key features of GA4

  • Customer-centric measurement to follow user journey across devices.
  • Advanced analysis hub to analyse conversion funnels, path analysis and cohorts.
  • Predictive modeling and machine learning to predict the probability of customer churn and purchase.
  • Privacy-first approach to operate in a cookieless world. This will ensure businesses can rely on Google Analytics for measuring marketing results in a cookieless world.
Better Insight

Better insight

Utilizes Machine Learning to Predict Consumer Behavior

Utilizes machine learning to predict consumer behavior

Cross-channels & Devices

Tracks across channels & devices

Cookie-less Tracking of Customers’ Events

Cookieless tracking of customers’ events

Why you need to switch to Google Analytics 4

Google Analytics 4 replaces the current Google Analytics version - Universal Analytics from July 1, 2023, Universal Analytics will stop processing data and will be replaced by GA4. To ensure continuity of analytical data from Google Analytics, businesses should implement their GA4 strategy soon.

Milestone approach to GA4

Discovery

Audit current GA Universal Analytics set up to identify key details around tracking - events, goals, channels, segments, and filters.
 

GA4 strategy and architecture

Based on your business goals we will develop GA4 migration blueprint to ensure you have accurate and required data elements to make informed business decisions.
 

Deployment

This includes setting up the GA4 property with required configurations, creating data streams, and adding new tags and triggers in Google Tag Manager.
 

QA

Post-migration data verification to ensure all data elements are captured correctly.
 
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