Making product recommendations more relevant with A/B Testing
MATY wanted to optimize product recommendations on its product page, and make them more relevant, by testing multiple variations to see what would work best. The existing page showed 3 relevant recommendations for each product page. MATY wanted to test if more product recommendations would improve engagement.
The team at Insider evaluated the plan and advised MATY to try out its A/B testing feature, using which MATY could test the two variations — one with 3 recommendations and another with 4 recommendations to see what delivers better results.
MATY observed a significant improvement in engagement on its product pages. The A/B testing campaigns drove a 6.69% uplift in Average Order Value (AOV) and a 9.69% uplift in incremental revenue.