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Nowadays, Adblockers, Tracking restrictions like ITP, and IOS 14 updates all affect the Data Accuracy of Conversion reported into Analytics Platforms. And these are the main reasons why Facebook, Google, and other platforms highly recommend their users start implementing server side tracking.
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Nowadays, Adblockers, Tracking restrictions like ITP, and IOS 14 updates all affect the Data Accuracy of Conversion reported into Analytics Platforms. And these are the main reasons why Facebook, Google, and other platforms highly recommend their users start implementing server side tracking.
The Facebook Pixel is an extremely useful tool for tracking company data on Facebook. Unfortunately, its efficacy has declined in recent years. But all is not lost, due to Facebook conversion API.The Facebook conversion API is another tool in your Facebook data toolkit that works with the Facebook pixel to guarantee you acquire all of the data you require. Together, they enable you to accurately track, attribute, and improve your Facebook marketing success.What is the issue with the pixel? Ad blockers, cookie blockers, and other masking techniques have started to reduce the amount of data the pixel receives. And now, Apple's iOS 14 upgrade makes it even more difficult to track data using the pixel.The iOS 14 upgrade significantly limits the usage of cookies for tracking on Apple mobile devices. As a result, the pixel will provide you with far less information on how iOS users interact with your business. You may be unaware that someone has clicked through from Facebook to your website.Do not panic. Continue reading to learn how to use the Facebook conversion API to preserve data, assign attributions, and target users. Before moving any further, we should learn about certain basic terms which will be used in this blog.
Analytics focuses on discovering correlations and trends in data, whereas optimization focuses on cause and effect. However, combining analytics and optimization can be quite beneficial to your organization. So let's look at real-world examples of how to use analytics better to drive testing results.
Implementing tracking techniques is critical for knowing how users interact with websites and mobile applications. Server side tagging and client side tagging are the two most common techniques in this domain. As an expert in the field, you are already familiar with these ideas. However, a thorough understanding of the technical features, terminology, and distinctions between these two methodologies is required. In this post, we will look at the fundamentals of server-side and client-side tagging, including technical features, pros and cons, and definitions of both contexts.
Server side tracking has become an essential aspect of data collection in the digital age. Unlike client side tracking, which relies on tags and pixels embedded in a website's code, server side tracking involves sending data from these tags to a web server. This method offers several advantages, including improved reliability, control, accuracy, and application and device performance.
A client-side tracking website uses a container on the page to transfer measurement data to multiple third-party tracking platforms. This container operates on the user's browser and has a direct connection to your tracking tools' mother server.
Server side tracking bridges the gap between the two by allowing you to develop your tracking server side container. Google Tag Manager server side tagging is hosted on the servers (Like Google Cloud Platform, Stape.io, or your server) and functions as a middleman between your client-side tracking and marketing vendors.
Data is delivered from the browser to the GTM server-side instance and then forwarded to your tracking tools. This allows you to control data from being sent to your tracking tools and save data resources, resulting in a better user experience.
In this blog, I will walk you through the process of configuring Google Tag Manager server side tagging.