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Server-side tagging use cases: How can you benefit from data stream consolidation
Data stream consolidation is one of the key features of server-side tagging. It involves taking one incoming data stream, such as GA4, Piwik PRO, Stape, or others, and distributing it to many outputs. Instead of sending the same event to different vendors – for example, when a customer adds an item to a cart –…
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How can server-side tracking help your business?
Alternatives to client-side tracking, such as server-side tracking, are becoming increasingly important in online marketing, especially as third-party cookies are gradually being phased out. Although Google has recently canceled its planned deprecation of third-party cookies, many browsers like Safari have already been blocking them since 2003. As a result, businesses seeking reliable and actionable information…
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How to use raw data in web analytics
Raw data offers infinite potential as a resource, as it comes in diverse forms from a wide range of sources. While it is highly valuable, raw data can also be challenging to organize and understand. It takes time, resources, and technical expertise to draw actionable insights from it. Before organizations can harness the power of raw…
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How do Google’s Enhanced Conversions and Meta’s Advanced Matching impact analytics
Privacy regulations such as GDPR and CCPA have significantly changed how companies can track and measure user interactions online. Additionally, the rise of adblockers and browser tracking restrictions limit the use of third-party cookies on the web. Users are blocking and deleting cookies due to a lack of trust in the AdTech industry and what…
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“Cookieless future” is just a buzzword – Here is all you need to know about the end of third-party cookies
Cookies have been a vital part of web browsing for years. While some cookies provide essential functionalities like maintaining visitor sessions, third-party cookies have been controversial due to their ability to track users across the web without their knowledge or consent. People have grown more conscious about using and sharing their data, and many feel…
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What is behavioral data and how can it help you better understand your customers
Behavioral data refers to information collected about customers’ actions when interacting with your business across channels – their website clicks, mobile app usage, online purchases, email engagement, and even real-world interactions (e.g. in-store foot traffic). Behavioral data collected and owned by your business is primarily first-party data, which is valuable for achieving accurate customer insights.…
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What is the modern data stack and how it can change the way you do analytics
In an era where accessing vast volumes of data poses no challenge, the real trouble lies in making sense of data. Disconnected systems leading to data silos often obscure a unified view, rendering meaningful insights impossible. The concept of the modern data stack (MDS) addresses these challenges by offering an integrated architecture that’s scalable, future-proof…
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Free comparison of 7 enterprise-ready customer data platforms
Customer data platforms have proved their worth as a vital technology in marketing. They create a single customer view by stitching together sources of fragmented user data. CDPs assist marketers to generate a better customer experience, driven by precise information on user behaviors across every touchpoint.
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8 customer data platform (CDP) use cases that will drive your business growth
Companies need data on user engagement to understand the behavior of users on the website or app, assess the performance of marketing campaigns and see how to better address users’ needs. Today, teams can benefit from numerous marketing and analytics tools that allow them to collect user acquisition, behavioral and conversion data from multiple sources…
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Data flow in an analytics platform: How to set up your data collection and analysis process
Whether new to analytics or already well-versed, you might have heard a lot about collecting, managing and analyzing data. But what exactly happens in between? How does your data flow from one part of the analytics ecosystem to another? Data can stream in different directions and back and forth between systems. It may take a…
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