Latest Innovation Overview
ES Engage™ Version 5.5 introduces a Test and Control Assignment Feed and Multi-Use Coupons, giving marketing teams an independent way to measure test-versus-control performance in their own analytics and a flexible way to run high-volume coupon campaigns from a single code across scheduled activation windows.
E-commerce brands need to prove that their offers actually change behavior, and to run promotions at scale without managing an unwieldy pool of single-use codes. In our latest feature release, the Test and Control Assignment Feed provides a daily mapping of shoppers to their test or control group, so teams can build test-versus-control segments in platforms like Adobe Analytics and measure performance independently. Multi-Use Coupons let a single code be distributed across many shopper sessions within defined activation windows, with batch scheduling, selection logic, and per-coupon limits handled automatically. At Exchange Solutions, that means clearer measurement and more flexible coupon campaigns without additional operational overhead.
ES Engage™ Version 5.5 - Current Release
Version 5.5
Current Release - August 26, 2026
Test and Control Assignment Feed
Why this is valuable:
Independent, verifiable test-versus-control measurement lets marketing leaders prove whether an offer changed behavior, using their own analytics stack.
What this feature does:
Provides a daily data feed mapping shoppers to their test or control group assignments, covering all active shoppers and ready to integrate with analytics platforms such as Adobe Analytics so organizations can build test-versus-control segments independently.
How you benefit:
Supplementary performance visibility outside ES Engage, so teams can validate incrementality and report results with their own tools.
Multi-Use Coupons
Why this is valuable:
Running high-volume coupon campaigns from a single code removes the overhead of managing large pools of individual single-use codes.
What this feature does:
Lets a single coupon code be distributed across multiple shopper sessions within defined activation windows. Coupons are supplied via feed and organized into scheduled batches that activate and progress automatically, with selection logic matching minimum-spend thresholds and reward values to offers, individual tracking from allocation through completion, and optional per-coupon usage limits enforced automatically.
How you benefit:
Flexible, trackable coupon campaigns at scale. The feature is enabled per client, and existing single-use coupon behavior is unchanged for clients not enrolled.
Previous ES Engage™ Releases
Version 5.4
August 2026Demand Shaping
Triggers an alternate offer only when shoppers view or add designated products to cart, while continuing to require qualifying spend, so you can move at-risk inventory, drive trial for new items, and win in heavily promoted categories without broad discounting, using existing ES Engage coupon infrastructure.
Special Audience Treatment - Loyalty Member (Tracking Only)
Applies a loyalty member flag distinguishing anonymous, registered, and loyalty members, so clients gain clear visibility into how loyalty members engage with ES Engage offers and can connect engagement data with their loyalty programs.
Version 5.3
October 2025Excluded Products Messaging Enhancements
Identifies excluded products at the SKU or category level, removes them from offer qualification and spend progression, and provides configurable on-page messaging, such as banner suppression, alternative notes, or redirect buttons, when members view excluded items, so you keep tighter control over promotional spend while guiding shoppers toward eligible purchases.
Version 5.0
September 2025Special Promotion Periods
Scheduling distinct promotional campaigns with customized business rules and unique creative content for special events.
Lapsed Member Targeting
Identify and re-engage inactive members with customized offers that override typical eligibility restrictions.
Version 4.9
August 2025Dynamic Content Optimization
Real-time content adaptation based on user behavior and contextual signals for maximum relevance.
Advanced A/B Testing Framework
Multi-variant testing capabilities with statistical significance tracking and automated winner selection.
Version 4.8
July 2025Cross-Device Identity Resolution
Unified customer tracking across mobile, desktop, and tablet devices for seamless personalization.
Predictive Offer Timing
AI-powered optimization of offer delivery timing to maximize conversion probability.
Version 4.7
June 2025Enhanced Mobile Experience
Optimized mobile interface with touch-friendly interactions and accelerated loading times.
Social Proof Integration
Dynamic display of purchase behavior and product popularity to influence buying decisions.
Version 4.6
May 2025Smart Product Recommendations
Advanced machine learning algorithms for personalized product suggestions and cross-selling.
Geo-Location Targeting
Location-based offer customization for regional preferences and inventory optimization.
Version 4.5
April 2025Behavioral Trigger System
Automated offer activation based on customer browsing patterns and engagement signals.
Advanced Analytics Dashboard
Comprehensive performance tracking with customizable KPIs and real-time reporting.
Version 4.4
March 2025Real-time Inventory Integration
Dynamic offer adjustments based on inventory levels and stock availability.
Enhanced Security Framework
Advanced encryption and security measures to protect customer data and transaction integrity.
Version 4.3
February 2025Omnichannel Experience Sync
Seamless personalization across web, mobile app, and in-store touchpoints.
Customer Journey Mapping
Visual representation of customer touchpoints and conversion path optimization.
Version 4.2
January 2025Dynamic Pricing Engine
Intelligent price optimization based on demand, competition, and customer segments.
Enhanced API Performance
Improved response times and reliability for better integration experiences.
Version 4.1
December 2024Machine Learning Optimization
Self-improving algorithms that enhance personalization accuracy over time.
Multi-Language Support
Localized experiences with support for multiple languages and regional preferences.
Version 4.0
November 2024Next-Gen Personalization Engine
Revolutionary AI-powered recommendation system delivering truly personalized experiences.
Cloud-Native Architecture
Complete platform modernization for improved scalability and performance.
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