Jude Nwachukwu Onyejekwe

If you plan to link your Google Analytics property with BigQuery to begin exporting the raw event data collected in your analytics to a Google BigQuery project. This guide will be helpful for you, not in terms of linking the two tools directly, but rather by outlining nine (9) important steps to take before connecting […]

In this blog post, I’ll show you how to use Google Analytics (GA4) to determine how many users stop visiting your website after completing a critical business action, such as a conversion (key event), a specific event, or a purchase, within a specific time frame. This time frame, referred to as “N” days, could be

Piwik Pro has recently revamped its Debug Mode, transforming it from its previous design: To a more refined and user-friendly interface: In this guide, I’ll walk you through the new Piwik Pro Debug Mode, how to access it, and how to leverage it for effective debugging and troubleshooting. Accessing The Piwik Pro Debug Mode Previously,

Do you find discrepancies between the data reported by Microsoft Clarity and Google Analytics, particularly in the number of sessions and users? If so, this guide will walk you through some of the possible reasons for these differences and provide insights into addressing them effectively. 15 Key Reasons for Discrepancies Between Google Analytics and Microsoft

Detailed Guide on Bot Traffic Exclusion In Microsoft Clarity This article covers how Microsoft Clarity manages bot traffic and provides guidance on configuring your Clarity project to filter out such traffic. It also shows you the level of control you have when it comes to how bot visits to your websites get treated in Microsoft

Previously, I wrote a comprehensive guide detailing fourteen (14) potential issues you might encounter in your Piwik Pro e-commerce tracking implementations and their respective solutions. That article thoroughly outlines each issue, and I encourage you to refer to that guide for more information. However, In this blog post, I will specifically address scenarios where your

Time significantly influences many aspects of life, and data can help provide valuable insights into how time influences human digital behaviour and affects marketing and business performance. Using the data in your Google Analytics (GA4) property, you can understand how time and date-related data points, such as the day of the week and the hour

I have always wanted to write about Google Analytics’ (GA4) data modeling capabilities. While scrolling through the GA4 documentation on behavior modeling for consent mode, I came across a subheading referencing “Modeled Data Vs Observed Data,” which compelled and inspired me to write an article on this topic in a manner understandable to everyone, regardless

Welcome to another episode of the Mixpanel series! In this short guide, I’ll discuss how to leverage Mixpanel’s reporting capabilities to answer time-related marketing, business, and product performance questions, with a focus on the “Time of Day” and “Day of the Week” dimensions. You will also gain insights into using Mixpanel to address performance-related questions

If you’re working on a Looker Studio project and want to use a metric control for your charts, similar to the dimension control feature, this short article will guide you through setting up metric control in Looker Studio. Please note that as of the time of writing, Google has not released a native metric control