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 test.
Harnessing GenAI Chatbot to Generate A/B Testing Ideas
A/B testing plays a crucial role in optimizing web page performance, but coming up with impactful ideas can be time-consuming. Exploring how to leverage GenAI Chatbot to streamline the ideation process, make data-driven decisions, and enhance 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 success or not, the capability to deliver and the capability to present. That can go further to personal and professional development as well.
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 towards user-centric analytics, and augmenting quantitative data with qualitative research.
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 tools enable better customer experiences, process efficiency, deeper engagement, and the measurement.
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, the getIdentity command is used asynchronously, posing challenges in capturing and assigning the ECID. Workarounds involve retrieving the ECID separately and using custom actions with JavaScript Promises.
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 rates, apply time-decayed weighting for recent months, and visualize the results. The goal is to gain better insights into how often users engage with the platform over time.
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, and counting the occurrences of each unique path.
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.
Testing Behavioral Differences Between Two Sets Of Visitor
In the realm of web analytics, built-in reports provide valuable insights, but they often lack statistical measures to determine the significance of the reported data. By comparing the means of two different sets of data, we can uncover valuable insights. Understanding the behavioural differences between visitor segments can be immensely valuable for optimizing marketing strategies, website design, and user experience. By leveraging statistical analysis, we can make data-driven decisions and unlock new growth opportunities.
Sharing Of HKU MSc (ECom&IComp) Program
Are you ready to take your career to new heights and gain a competitive edge in the ever-evolving digital landscape? Whether you’re looking for part-time study options or aiming to align your studies with your current role in digital marketing, the MSc (ECom&IComp) program at HKU might be the perfect fit for you.
Big Data Is Only About Variety
When talking about big data, we usually talk about the three V’s: volume, velocity, and variety. While volume and velocity are indeed important, variety plays a pivotal role in differentiating big data from traditional data management and analysis.
Connecting Analytics In Physical And Electronic Worlds
By merging analytics from physical spaces and digital platforms, from retail stores to smart devices, data-driven insights can be harnessed to optimize customer experiences and drive business growth. With the advent of advanced technologies such as the Internet of Things (IoT) and location-based analytics, organizations now have the power to bridge the gap between the physical and digital worlds. By leveraging data collected from various touchpoints, businesses can gain a comprehensive understanding of customer behaviour, preferences, and trends.
Mobile App Vs Mobile Web
Mobile app or not? While mobile apps have their advantages, opting for a mobile app may not always be the best approach, especially if it lacks regular updates or if a web counterpart already exists. Some key factors to consider when making this decision, such as background execution, hardware dependencies, offline usage, and overall readiness.
(The Emerging) User Experience
User experience has been steadily gaining interest over time. It’s an essential aspect of customer-centric approaches, including customer experience, digital experience, and more. The maturing of the internet has played a significant role in driving this shift. As the awareness of user experience rises, organizations are actively seeking ways to enhance the user experience across various touchpoints and throughout the entire user journey.
Digital Property Needs A Conversion Goal
Simply focusing on traffic volume or downloads isn’t enough, it is important to align your digital property’s objectives with your organization’s goals. By setting a conversion goal, you’ll have a clear direction for optimizing your efforts and improving user engagement. By monitoring key performance indicators (KPIs) related to your conversion goal. This data-driven approach allows you to make informed decisions and enhance the productivity of your digital properties.
Analytics Outliner Detection
Explores the challenges of monitoring multiple digital properties and offers a unique approach using standard scores for early problem detection. Discover how to improve tracking stability and react promptly to issues.