Authors: Jim Snyder, Arava Sai Kumar, and Kimberly Leung (@kimberlyl468851) This post explores how we select the best attribution model in a data-driven way using Adobe’s Attribution Lift Measure (ALM). This approach avoids the need for expensive experiments or simulations to evaluate the effectiveness of both traditional rules-based and sophisticated machine-learning-based attribution models. Marketing teams frequently use attributional models to understand what marketing investments like campa...

Authors: Christopher Hoffmann (@cdhoffmann) and Jiabin Geng (@shalehaha) In this blog, we give you the step by step tutorial on how you can build a mobile widget with Apple’s WidgetKit and Adobe Experience Platform Mobile SDKs. With the launch of iOS 14, Apple has introduced various new technologies. One such technology is WidgetKit, which gives developers the API to create their own home screen widgets on iOS. Widgets present relevant information at a glance and can be pinned in different sizes...

Author: Jaemi Bremner (@Jaemi_Bremner), Baubak Gandomi. This is an article about a view we have adopted at Adobe Campaign regarding the tests we write, and how this helps writing end-to-end tests in enterprise software. At first, we set out like most people to write a set of tests that tested our application. The problem we discovered is that, at least in our case, applications no longer work alone, and in many enterprise applications your product is usually part of a bigger whole. This means th...

Authors: Yeshwanth Vijaykumar, Zhengping Wang (@zp_wang), and Jayna Patel In this blog post, we are going to go over how the data lake house architecture at Adobe Experience Platform combines with the Real-time Customer Profile architecture to increase our Apache Spark Batch workload throughputs and reduce costs while maintaining functionality. Adobe Experience Platform enables you to drive coordinated, consistent, and relevant experiences for your customers no matter where or when they interact...

Authors: Mark J. Becker (@MarkBecker), Markus Haack (@mhaack), and Jody Arthur This is the first part of a series of the new headless architecture for Adobe Experience Manager. In this post, Adobe Experience Cloud introduces its Adobe Experience Manager Headless Extension for PWA Studio that enables developers to leverage headless architectures to build app-like experiences for their customers that are fast, secure, and delightful on any device, mobile or desktop. Adobe Experience Manager provid...

Hi, Our events team would love your feedback on attending our past events including Summit and MAX. Please take a few minutes out of your day to complete the below survey by Thursday, September 30. Your feedback is crucial in helping us to continue to reimagine the events and experiences we create for our customers. Thank you. https://www.surveymonkey.com/r/DDSR9LJ

Author: JB Creusat The Adobe Experience Platform Web SDK (AEP Web SDK) is now available and brings significant performance improvements but also changes in terms of data collection. One of the first questions is whether Visitor identification will be impacted. In this article, we will explain how the migration to the AEP Web SDK works and how to plan. While the different libraries required by Adobe Analytics, Target and Audience Manager are being replaced by a single SDK, the Experience Cloud ID...

Author: Jaemi Bremner In this post, we’ll explore how Adobe solutions fit together to provide a consistent customer experience. We’re going to focus on how to best use real-time data such as GPS coordinates, stock availability, or weather forecast with Adobe Experience Platform offer decisioning engine to propose contextual, relevant content to our customers. With the ever-increasing usage of mobile devices, brands have more and more data at their disposal to build innovative and relevant ways t...

Author: Jaemi Bremner In this article, we would look at a very simple demonstration of how we can use the linear regression model to predict the estimated revenue based on the number of texts sent out in Adobe Analytics and would compare the calculations using sklearn. In this digital age, businesses are collecting huge amounts of data to gain insights about their customers, serve them with relevant content, and to optimize their business. One key part of optimization is to make the best use of ...

Author: Artur Ciocanu (@arturc85303583) This is the second part of our series that covers Adobe Target NodeJS SDK with On-Device Decisioning capabilities and how to run it in a serverless/edge compute environment. In this second part, we will be covering AWS Lambda and specifically AWS Lambda@Edge. This blog is Part 2 in a three-part series that will cover how anyone could use Adobe Target NodeJS SDK to run experimentation and personalization on an edge compute platform. The parts are: Part 1: A...

Author: Artur Ciocanu (arturc85303583) Adobe Target always provided best-in-class experimentation and personalization. Our edge network is geographically distributed and we have points of presence in different parts of the world. This allows us to be closer to our customers' users, but sometimes this is not enough, since fundamentally Target always required a network call to retrieve personalized content. We always knew that this is could be problematic for some of our customers who are looking ...

Author: Artur Ciocanu (arturc85303583) This is the third part in our series that covers Adobe Target NodeJS SDK with On-Device Decisioning capabilities and how to run it in a serverless/edge compute environment. In this third installment, we will be covering Cloudflare Workers. The parts are: Part 1: Akamai Edge Workers and Adobe Target NodeJS SDK Part 2: AWS Lambda@Edge and Adobe Target NodeJS SDK Part 3: Cloudflare Workers and Adobe Target NodeJS SDKStep by step guide As mentioned in the first...