Industry: Supermarkets and Food
+27% average revenue increase over a one year period in food and supermarkets.
Supermarkets and food are ideal for leveraging growth levers based on purchase patterns in a hyper-personalization strategy.
Average growth uplifts in food and supermarkets.
Below we show the average increase in the following KPIs in the food and supermarket sectors: Revenue increase, Ticket volume increase, Repeat purchase increase, Average lifetime value increase.
27
%Revenue uplift
+27% in revenue volume.
The average increase in revenue is calculated using the uplifts generated over the last 365 days thanks to an omnichannel strategy of segmentation and personalization.
29
%Ticket uplift
+29% in ticket volume.
The average increase in revenue is calculated using the uplifts generated over the last 365 days thanks to micro-segmentation and hyper-personalization.
14
%Repeat purchase
+14% in repeat purchase.
The average repeat purchase increase is calculated using the uplifts generated during the last 365 days using the hyper-personalization in an omnichannel way.
49
%Traffic (Group A)
+49% in lifetime value.
The average customer lifetime value increase is calculated using the uplift generated during the last 365 days thanks to one-to-one personalization.
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:
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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."