Personalised Sort Order
One of the UK's most prominent online retailers faced a challenge with their default product sort order, displaying the same products to all visitors regardless of behaviour. Decision Studio implemented a real-time personalised sort order that drove £60M+ in annual revenue and an 18% conversion uplift.
To enhance the shopping experience, Decision Studio partnered with the retailer to implement a real-time, data-driven Personalised Sort Order. The approach began with Customer Behaviour Modelling to identify key signals like past purchases and browsing history, allowing the team to tailor product recommendations. Machine learning algorithms ranked products in real-time, ensuring visitors saw the most relevant products first. The personalized sorting logic was integrated into category pages and navigation panels for a smooth, dynamic shopping experience.
The new system was tested through A/B testing, comparing personalized sort orders with the standard approach. Continuous optimization refined the models based on real-time feedback and evolving customer behaviours, leading to improved product discovery, increased conversion rates, and a more engaging shopping experience, ultimately driving stronger customer satisfaction and business outcomes.
18% increase in conversion rates
£60M+
increase in annual revenue
18%
increase in conversion rates
25%
drop in bounce rates
The initiative also accelerated product discovery, enhancing the overall customer experience and fostering loyalty. The project earned industry-wide recognition, winning the "Zensar Retail Technology Initiative of the Year" award at the Retail Week Awards and reinforcing the retailer's leadership in digital innovation by setting a new benchmark in personalized retail experiences.
