Welcome to the Evolytics “Google Analytics 4 in 400 Words” blog series! In the first post of the series, we’ll be discussing the primary reasons your business should consider starting with Google Analytics 4.

Reason 1: Customer-Centric Measurement

In Universal Analytics, a single person visiting on different devices will be counted as multiple users by default. This causes some serious inflation in your user counts and distorts metrics like Number of Sessions per User or Amount of Revenue per User. This only gets worse if your business has mobile apps.

Google Analytics 4 offers “customer-centric measurement” — measuring, unifying, and de-duplicating the interactions your users have across their devices and platforms — website and app activity both included. This gives you a more complete understanding of how your users move across the customer journey.

Additionally, GA4 offers a streamlined reporting interface that more closely aligns with how you report on the customer journey: from Acquisition to Engagement to Monetization to Retention. As marketers need to measure opportunities throughout the marketing funnel, it’s an interface designed for marketers. 

Reason 2: Smarter insights to drive marketing efforts

Google’s advanced machine learning (ML) models are baked directly into Google Analytics 4. ML offers a variety of benefits to drive your marketing efforts, including: 

Anomaly detection

Receive notifications when anomalies are detected in your Custom Insights. You can make these even more bespoke by specifying alerts on your key audience segments.

Predictive Metrics and Predictive Audiences

Predictive metrics like Churn Probability enable you to spot potential issues and act on them before you lose customers. 

Create a re-engagement campaign with a “Likely 7-Day Churning User” Predictive Audience and it will be automatically shared to your linked Google Ads accounts for seamless activation.

Reason 3: Adapts with the changing privacy landscape

The privacy landscape is complex and changing by the day. As marketers adapt to changing targeting capabilities, it’s essential that your analytics platform is designed with privacy in mind. GA4 was designed to work in a future with or without cookies. Although first-party cookies are still used for tracking, companies can use their own User IDs and an integration with Google Signals for user identification. 

Google has said that in the future it will use modeling to fill in the gaps when data is incomplete. This provides you with solid audience data while ensuring you don’t have to worry about privacy violations.

Are you convinced yet?

Although there are many compelling reasons to start using GA4, we know you might still have reservations about whether GA4 is the right choice for your business needs. Thankfully, you don’t need to make the full switch away from Universal Analytics just yet. 

In our next blog post in the GA4 Series, we’ll discuss how to enhance your existing Universal Analytics implementation by dual-tagging with GA4

Written By

Caitlin McCluskey

Analytics, data visualization, and an intense love of learning are the driving forces behind Caitlin McCluskey-FItch. As an analytics professional, she excels at uncovering meaningful stories in complex data sets. She demonstrates her passion for data visualization by frequently participating in the weekly Makeover Monday challenge.

Caitlin loves a good challenge and, like any good consultant, enjoys tackling the complexities of learning a new account or industry. In 2018, one client told Caitlin that she knew their business better than 80% of their employees.