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Dec 10, 2022

Digital Marketing Evolution: Understanding the Impact of Google Analytics 4 (GA4) on Marketing Team

Ansuya Kachroo

One of the most exciting aspects of GA4 for marketing teams is the integration with Google's artificial intelligence (AI) and machine learning (ML) capabilities. GA4 uses these technologies to automatically identify trends and patterns in user behavior, and can provide marketers with insights and recommendations for optimizing their campaigns.

17th Mar 2024

Mastering AMP Tracking with Google Tag Manager: A Detailed Guide

Anshul Dhurandhar

In the fast-paced digital world, Accelerated Mobile Pages (AMP) have become a cornerstone for publishers aiming to deliver content instantly to mobile users. AMP not only enhances the user experience with faster load times but also potentially improves search engine rankings

Dec 09, 2022

Comparing and Contrasting: Understanding the Key Differences Between UA and GA4

Akanksha Porwal

Google Analytics 4 comes with a lot more benefits than Universal Analytics and that is definitely true. GA4 not only helps to stitch web and app analytics, it also comes up with a lot more benefits and hidden gems which was not possible while using Universal Analytics/GA3.

19th Mar 2024

Streamlining Team Collaboration with Google Tag Manager Workflows

Anshul Dhurandhar

In the dynamic landscape of digital marketing and analytics, effective team collaboration is paramount for success. One tool that has proven to be a game-changer in this regard is Google Tag Manager (GTM). By optimizing workflows within GTM, teams can enhance collaboration, boost efficiency, and ultimately achieve better results. In this blog post, we'll delve into the best practices for streamlining team collaboration using GTM workflows and explore the key benefits it brings to the table.

Dec 04, 2022

E-commerce Funnel Mastery: Harnessing the Benefits of UA and GA4

Shubhangi Chauhan

In this blog, we will discuss the difference in the ecommerce funnel in GA4 and UA. When operating an online business, it is important to understand the Behaviour of customers who visit the website to browse merchandise and add items to their shopping carts. One key metric of interest in this context is the number of customers who abandon their shopping carts before making a purchase.