Combining A/B Testing and Personalization
In today’s digital landscape, personalization is key to enhancing user experiences and driving conversions. But how can we truly measure its impact? There are some approaches to merge A/B testing and personalization, unlocking the potential to deliver tailored experiences while evaluating effectiveness.
Toolkit – Adobe Analytics for AA Administrators
Introducing a web application, Toolkit Adobe Analytics, to help AA administrators better manage the solution, with the initial release providing an overview of custom dimensions and metrics usage across all report suites.
How to pass the Adobe Analytics Architect Exam
Sharing my journey of preparing for and successfully clearing this challenging certification in one go. It has a bit of a showoff 😁, some references for preparation, and experience from the examination. If you aim to become an Adobe Analytics Architect, I hope this can offer some help to secure a one-time pass.
Recalculate Adobe Target Result
Go beyond the basics and unlock powerful insights by integrating Adobe Target with Adobe Analytics via A4T, to analyze testing and personalization activities using a wide range of metrics. Addressing the limitation of the A4T solution by leveraging Data Warehouse and Data Feed to perform offline calculations using Python to perform Welch’s t-test and proportion…
Harnessing GenAI Chatbot to Generate A/B Testing Ideas
A/B testing is vital for optimizing web page performance, but generating impactful ideas can be time-consuming. Using a GenAI Chatbot can streamline ideation, enable data-driven decisions, and boost web page conversions.
What Makes a Success: Delivery and Presentation
It is an incredible honour to be invited to serve as a judge at the Digital Media Awards 2024, a privilege that I have a chance to look into some of the most innovative and impactful campaigns. It comes to me that there are two primary factors when I am reviewing entries and call them…
Tab, Tab, Tab, And Website Traffic Analytics
We are using tabs for web browsing a lot which can seriously impact the web analytics of the site: user behaviour across multiple tabs and windows, sharing cookies, isn’t distinguished in data analysis. This behaviour affects accurate session tracking and attribution, complicating the understanding of user journeys. Solutions include improving website design and tracking, shifting…
Measuring Customer Journeys For Life Insurance In Asia Using Adobe Analytics
Wenzhou-Kean University collaborates with Hong Kong Baptist University, adopting Adobe Analytics to equip students with transborder skills in web analytics. Invited by Hong Kong Baptist University to share the caption with students from Wenzhou-Kean University attending an Adobe Analytics training conducted by HKBU to present Asia’s insurance industry landscape, and how the Internet and digital…
Can We Really Replace The Cookie?
What are the concerns around HTTP cookies such as security and privacy issues, and the challenges of a cookieless environment and how it impacts brands’ digital marketing efforts? We should be focusing on first-party data, enhancing the overall customer experience, using cross-channel analytics, marketing automation, and customer data platforms to adapt to the post-cookie era.
Tracking Adobe Experience Cloud ID With WebSDK
The ECID is a unique identifier in Adobe Experience Cloud/Platform that helps recognize individuals and devices. While ECID is not available as a dimension in Adobe Analytics, capturing it as a custom dimension is desired for data linkage. The older AppMeasurement tracking allows assigning the ECID using the getMarketingCloudVisitorID() function. However, with the new WebSDK,…
Converting event_list And post_event_list In Adobe Analytics Data Feed
The event_list and post_event_list columns are heavily encoded and impossible to use directly. Showing how to convert the encoded event_list and post_event_list columns in Adobe Analytics Data Feed into meaningful event names and split them into individual columns using Apache Spark to make the data more interpretable and easier to analyze.
User Retention By Days Of Access
Instead of the traditional day since the last visit or cohort analysis, calculating user retention based on the number of days users access a portal or app over multiple visits provides a more comprehensive understanding of retention. Using PySpark with Adobe Analytics Data Feed to extract the required data, calculate the weekly and monthly access…