Recommendations are a popular way to inspire users, provide them with alternatives or to further boost shopping carts. But for many shops, product recommendations also require a lot of work – unless you use a smart recommendation engine.
The same applies to our customer LaShoe: Before using trbo, the recommendations were maintained manually and assigned to accessory products. An immense amount of work for the team. After deciding on trbo as a personalization tool, a revision of the previous strategy became a priority.
Together with the LaShoe, we conducted an A/B test to find out what effect the use of the trbo recommendation engine would have on the conversion rate.
A 29.8% increase in conversion rate through personalized recommendations on product detail pages
The goal was to determine whether automated and personalized recommendations would not only save time, but also achieve better results.
The results were promising: personalized product recommendations on product detail pages filled with the trbo recommendation engine enabled LaShoe to significantly increase the conversion rate and save valuable time at the same time.
Read more on how the test was set up and which other KPIs were improved in our new case study with LaShoe.
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