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…
Rebuilding Adobe Analytics Full Path Report With Spark
The full path report is missing in the new Analysis Workspace in Adobe Analytics and rebuilding using Apache Spark. However, we can rebuild it using Apache Spark and data from the Adobe Analytics Data Feed, by reading the hit data, filtering valid page names, grouping by visit, ordering the page sequences, removing duplicates if needed,…
Optimise Custom Dimension Usage In Adobe Analytics
Here is the second half of my sharing in the Adobe Experience Maker The Skill Exchange event about optimising custom dimension usage. For multinational companies, it is common to have similar websites across multiple countries with similar features and slightly different data collection, such as lead generation forms from different countries collecting similar but different user information.…
Optimising Click Tracking With Adobe Launch
It was my honour to be invited to join an Adobe online event to share my experience using Adobe Analytics, the recording is available at Experience Makers The Skill Exchange. Video content is good but I prefer to read articles than watch videos. So I am repeating the content in the article format here. I have…
Setting Up My Spark Lab
When learning Spark and testing with small datasets, I can simply run a local Spark instance with the following command which essentially creates a local Spark instance using all cores. This local instance has no worker and the driver will handle all jobs and tasks. However, it is more interesting and useful to run a…
Visitor ID, The Must-Have Custom Dimension
Understanding your visitors’ behavior is essential for optimizing your website and tailoring your marketing strategies effectively. With this must-have custom dimension, you’ll have the power to analyze visitor patterns, track user engagement, and make data-driven decisions to enhance your online presence
The Analytics Cycle
Strategic thinking and careful planning are required when it comes to implementing analytics solutions. The analytics cycle follows a plan-do-check-act framework. It all starts with defining or refining your conversion goals, and aligning them with your business objectives. The analytics cycle is a continuous journey that requires adaptation and improvement.
Optimizing Paid Search Experience
A seamless journey for visitors who click on your ads and land on your website is the key to conversion and should be meticulously designed to cater to customers’ needs and intentions. Optimizing the experience to guide searchers towards your products, differentiate yourself from competitors, and ultimately drive conversions.