Success Case: Product Replenishment
Hyper-personalization for product replenishment.
Results of one month, keeping 5% of the audience as a control group to drive product replenishment based on each customer's purchase cycle.
Success case of revenue increase by personalizing product replenishment for each customer's needs.
The test compares the performance increase between the audience receiving hyper-personalized communications tailored to their consumption habits and the control group receiving conventional newsletters and journeys.
5
%Control group
95
%Target audience
5% control group.
The control group only receives regular communications (newsletters and journeys). The target audience receives hyper-personalized campaigns based on their consumption habits.
594
Orders (CG)
12572
Orders (Target)
+12.2% increase in orders
The audience receiving hyper-personalized communications focused on product replenishment has significantly increased the volume of orders.
24
k€Revenue (CG)
534
k€Revenue (Target)
+15.1% increase in revenue.
The audience receiving hyper-personalized communications based on their consumption habits has significantly increased the revenue generated during the period.
41.44
€Average Order Value (CG)
42.54
€Average Order Value
+4.87% increase in average order value.
The audience receiving hyper-personalized communications tailored to their consumption habits has increased the average order value during the analyzed period.
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:
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
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