Success Case: one-to-one ecommerce
Manual Product Selection VS One-to-One Recommendation
Results of A/B testing for 14 weeks, where 50% of traffic views a manual selection of products and 50% views a hyper-personalized recommendation for each customer.
Success case of one-to-one real-time recommendation in an eCommerce using A/B testing.
The test compares the performance of one-to-one product recommendation blocks during eCommerce navigation. Results are measured using Google Analytics.
50
%Traffic (Group A)
50
%Traffic (Group B)
50% of traffic for each group.
Group A views a manual selection of products during navigation and Group B views a one-to-one hyper-personalized recommendation.
154
kClicks (Group A)
297
kClicks (Group B)
+92% more clicks on products.
Group B (which receives one-to-one product recommendations) significantly increases interaction with the personalized product block.
1452
Orders (Group A)
2582
Orders (Group B)
+77% increase in orders.
Group B (which receives one-to-one product recommendations) significantly increases conversion compared to the group with manual selection.
98
k€Revenue (Group A)
156
k€Revenue (Group B)
+59% increase in revenue.
Group B (which receives one-to-one product recommendations) significantly increases the generated revenue compared to the group with manual selection.
Calculate potential revenue increase using Pleasepoint.
Enter the number of sessions, average ticket, and conversion rate for the last 30 days to know the revenue uplift you would have made with Pleasepoint.
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Amazon Web Services (AWS) Software Partners (ISV).
We are ISV (Independent Software Vendor) partners of Amazon Web Services (AWS) and have been selected for the ISV-Accelerate program.
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"With Pleasepoint, we have moved from the traditional campaign management model to a more dynamic, segmented, and enriched customer model, personalizing CRM campaigns and improving the conversion of our e-commerce channel customers."
Josep Jarque
Digital Project Manager & IT Architect"The implementation of one-to-one personalization has allowed us to generate much more interesting content for users, as well as foster loyalty, improve the shopping experience, and generate additional sales through personalized recommendations."