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.
1. Write the number of sessions from last month:
2. Write the average ticket from last month:
3. Write the conversion rate from last month:
Pleasepoint complements your technology stack by connecting to your CRM, eCommerce and business dashboards.
Connect Pleasepoint with your systems to update data, enrich customers in the CRM, hyper-personalize interactions on eCommerce and view customer KPIs on your business dashboards.
57
%Average revenue uplift.
53
%Average ticket uplift.
25
%Average conversion uplift.
85
%Average lifetime value uplift.
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Our eBooks on AI-driven Marketing
Introduction to One-to-One Marketing.
Download the free eBook Introduction to One-to-One Marketing, the perfect introduction to start hyper-personalizing your customers' experience with practical examples explained step by step.
Enriching Customer Data.
Download the free eBook Enriching Customer Data, the perfect introduction to start hyper-personalizing your customers' experience by enriching their data to leverage it in your strategy.
Real-Time Hyper-Personalization.
Download the free eBook Real-Time Hyper-Personalization, the perfect introduction to start hyper-personalizing your customers' experience in real-time.
Success Cases of Predictive Marketing.
Download the free eBook Success Cases of Predictive Marketing, the perfect collection to see the results that hyper-personalizing your customers' experience offers.
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