A/B Testing at Scale: How We Use Adobe Target in Enterprise Apps

Deep Panchal — Fri, 18 Apr 2025 15:23:45 +0000

What is A/B Testing?
A/B testing is a method of comparing two versions of a webpage or feature — typically a control (the existing version) and a variant (a modified version) — to determine which one performs better. It's widely used in web development, marketing, and product design to test different layouts, features, or messaging.
The goal is usually to measure improvements in conversion rate, click-through rate, or overall user engagement.

Why Adobe Target?
Adobe Target is a robust and scalable platform for experimentation. It allows marketers and developers to personalize and test various aspects of the digital experience across multiple channels — including web, mobile, and in-app.
In our case, we chose Adobe Target because it:
Integrates well with enterprise-level systems
Supports complex audience targeting
Works with both client-side and server-side experiments
Provides actionable analytics through Adobe Analytics and Alloy.js integration
It’s especially useful when running dozens of tests simultaneously across teams — something we regularly do at large organizations.

Our Adobe Target Setup
At a high level, our A/B test setup involves:
Custom Feature Switch (FS) logic to control experiment rendering
Dynamic content injection through JavaScript
SPA navigation support via lifecycle event listeners (e.g., window.LIFE_CYCLE_EVENT_BUS)
Targeting logic tied to digitalData or analytics variables (e.g., eVar141, pageType, device type)
MutationObservers to handle DOM changes in late-rendering components

We also use Alloy.js to communicate with Adobe Experience Platform for event tracking and analytics callouts. This ensures consistent performance across multiple platforms, even on complex SPAs.

DEV Community: Deep Panchal

A/B Testing at Scale: How We Use Adobe Target in Enterprise Apps