Release History
Version 4.9
Tag Manager Upgrades
Why this is valuable:
It enhances site performance, enables richer front-end experiences, and improves support by streamlining data handling and event processing
What this feature does:
It refines tag management to improve the handling of site data, events, and banners, while reducing tag size and enhancing page load detection
How you benefit:
Accelerated development cycles, refined user interactions, and enhanced site performance collectively results in more efficient operations and a superior digital presence
Automated ML Deployments
Why this is valuable:
Enables marketers to deliver more relevant, data-driven, predictive offers to improve conversion probability and average order value
What this feature does:
Accelerates the deployment of updated machine learning models into production, ensuring that the latest data-driven predictions are rapidly available
How you benefit:
Faster turnaround on model enhancements leads to increased engagement and improved conversion rates, driving a more responsive and effective campaign strategy
Version 4.8
Clearance Item Scraping and Negative Margin Treatment
Why this is valuable:
This feature ensures accurate and profitable offer management by correctly handling clearance items and negative margins
What this feature does:
The system enhances data handling for special product pricing by addressing clearance items and improving the treatment of negative margins, ensuring more accurate offer generation
How you benefit:
Marketers can confidently manage offers, avoiding ineligible products and maintaining reliable margin calculations, ensuring effective and profitable campaigns
Improved Test/Control Handling
Why this is valuable:
This feature improves the assessment of offer impact by using test and control groups to optimize financial incrementality and ensure data-driven business decisions
What this feature does:
It assigns users to either test or control groups using a random cohort value, allowing for consistent exposure to experimental variations and accurate measurement of results
How you benefit:
Marketers can better understand the effectiveness of their campaigns, make data-driven adjustments, and ultimately optimize engagement, revenue, and profitability
Version 4.7
Data Science Models Improvement
Why this is valuable::
The inefficiency and inflexibility of existing base models hinder marketers’ ability to accurately predict and enhance key performance indicators
What this feature does::
This initiative enhances the AOV/conversion models through continuous refinement via A/B testing, detailed analytics reviews and precise adjustments
How you benefit::
This leads to accurate models that enhance decision-making thus boosting engagement, average order value, and conversions
Program Configuration Data Import Improvements
Why this is valuable::
Unavailable IT resources can reduce program metrics through source data inflexibility
What this feature does::
This feature integrates undiscounted price caching with two-step metadata processing to efficiently manage margins and categories
How you benefit::
This elevates operational efficiency and improves program metrics by improving data import flexibility
Version 4.6
Special Audience Treatment
Why this is valuable:
Marketers need the ability to distinguish between anonymous and known audiences for customized promotions and experiences
What this feature does:
It allows marketers to identify special audiences and deliver exclusive promotions and personalized experiences, setting them apart from anonymous users
How you benefit:
This feature’s unique capability to adapt promotional strategies to special audience attributes results in improved marketing effectiveness and heightened customer satisfaction
Simplified Coupon Feed
Why this is valuable:
Marketers are keen on a system that facilitates the swift rollout of coupons and promotions
What this feature does:
It is a simplified standardized coupon data feed designed to streamline the integration of new coupons into the marketing system
How you benefit:
This feature significantly shortens the time to implement new coupons, expediting campaign launches and responsiveness to market trends, thereby enhancing promotional effectiveness
Version 4.5
Refined Growth Marketing Results
Incremental Sales Report:
Assess an offer’s incremental impact by comparing key metrics like sales, margins, orders, average order values, and conversions to a control group.
Customer Status in Business Rules:
With our advanced status tracking of new consumers, prior browsers, and prior buyers, benefit from a deeper layer of consumer categorization. This helps in customizing the types of offers presented to your consumers, ensuring a more personalized offer experience and optimized use of promotional spend.
Special Audience Treatment:
Optimize your consumer’s online journey by distinguishing between Anonymous and Special audiences, ensuring each category is considered when delivering their 1:1 offer experience.
AI-Driven Offer Optimization
Average Order Value Personalization:
Maximize both offer relevance and conversion potential using a more precise Average Order Value prediction.
Machine Learning Models:
Augment your offer optimization strategy by leveraging the power and foresight of our Machine Learning models, ensuring advanced targeting.