A leading Middle East conglomerate, operatingacross 20+ countries, was facing challenges indriving deeper engagement with the 2M+ users ofits rewards and lifestyle app and in unlocking newrevenue streams.
Key challenges
Under-leveraged customer base – Engagement levels within the app were not translating into deeper relationship.
Generic customer outreach – Broad-based campaigns failed to resonate with individual users, leading to missed chances for cross- sell and up-sell
Lack of personalized scale – The business was unable to deliver timely, tailored recommendations across its vast user base, limiting its ability to keep pace with evolving customer expectations
The solution
Personalized Feature Store
Built a centralized Customer data hub
Delivered a 360-degree customer view
Integrated structured and unstructured data
Audience Segmentation
AI Recommended Audience
Quantify Digital activity Index to drive targeted growth
1
Understanding client needs
Conducted workshops with key teams
Researched customer lifecycle behaviors
Identified engagement and growth opportunities
2
AI-powered Recommendation
Model arbitration for next-best action
Omni-channel targeting for revenue growth
Predictive modeling scaled across marketing campaign
3
Personalization at Scale
Automated refresh of features and models
Continuous proactive model monitoring
Optimized sales
AI-driven up-sell and cross-sell recommendations
Targeted product suggestions
Improved growth prospects
Enhanced campaign execution
Activated Campaigns via Predictive Intelligence
Deeper personalization and smarter decisioning
Customer value gain
Customer Engagement Growth
Retention Performance Uplift
Intelligent Revenue Scaling
Transform your enterprise with AI that delivers
