
Founded in 1973, The Landmark Group is a multinational retail and hospitality conglomerate. The business is pioneering homegrown brands that are leaders in their categories across the Middle East, Africa, India, and Southeast Asia.
Landmark came to Monetate with a clear goal of improving the digital experience they provide to their customers. Monetate Personalization provided the perfect solution to enable Landmark to meet and exceed their goals. With flexible testing, best-in-class merchandising and recommendations capabilities, and unrivaled segmentation and personalization features all within one easy to use platform, Landmark is delivering on the promise of great digital customer experiences.
Success with Strategy
All located within one easy to use UI, Landmark uses Monetate for A/B testing, dynamic testing, segmentation, product recommendations, social proof messaging, and ML (machine learning) powered 1-to-1 content and messaging personalization.

With everything under one roof, Landmark has the flexibility to test and personalize all digital interactions with their brands.
With Monetate Personalization, Landmark now has a solution that it can grow with. Starting with agile changes and quick tests, they then deployed and optimized merchandising tactics like Social Proof and product recommendations. From the same platform they’ll start to deploy 1-to-1 experiences at scale using Monetate’s Automated Personalization feature.
Personalization Across the Entire User Journey Results in Increased CVR
In this Monetate Success Story video, Product Lead Omar Fathallah describes how Monetate makes it easy to personalize the user experience throughout the entire user funnel.
Next up, we’ll start to harness the power of Monetate’s ML to become fully personalized. We want to move away from manually deployed experiences as manual equals opinions, whereas we want to be completely data-driven.
The Landmark Group rolled out personalization across all product pages, resulting in increased conversion rates, basket size, and revenue.