February 28, 2023

Client mailing optimization for a retail company

An agile scenario to improve targeting and tailor the end-user experience

Client mailing optimization for a retail company

At a glance

Challenge

The main goal was to enhance sales and customer satisfaction by sending personalized offers to over 3M customers. The team developed a strategy leveraging past sales data and integrating commercial and marketing inputs to test and predict the impact of various campaign strategies.

Solution

The customer affinity towards promotional offers was enhanced using a scalable optimization engine that evaluates over 500M pairs of customer-stimulus to simulate campaign performance and achieve optimal 1-to-1 targeting and acquisition offers.

Results

The agile scenario successfully improved targeting and tailored the end-user experience, leading to increased coupon redemption. The approach reduced offer distribution and campaign lead time while delivering value to both the company and its customers.

Challenge

The main goal was to enhance sales and customer satisfaction by sending personalized offers to over 3M customers. The team developed a strategy leveraging past sales data and integrating commercial and marketing inputs to test and predict the impact of various campaign strategies.

Approach

Solution

The customer affinity towards promotional offers was enhanced using a scalable optimization engine that evaluates over 500M pairs of customer-stimulus to simulate campaign performance and achieve optimal 1-to-1 targeting and acquisition offers.

Results

The agile scenario successfully improved targeting and tailored the end-user experience, leading to increased coupon redemption. The approach reduced offer distribution and campaign lead time while delivering value to both the company and its customers.

Our
AI-generated
summary

Our AI-generated summary

Our AI-generated summary

The main goal was to improve sales and customer satisfaction by sending personalized offers to end-users in a pool of over 3M customers.

Accordingly, our team defined the best strategy rendering the past customer sales and integrating commercial and marketing inputs. As a consequence, we were able to test different campaign strategies, as well as to predict their impact.

The customer affinity towards promotional offers, gathered from predictive modelling, was worked on by a robust, scalable optimization engine able to pursue different objectives, according to business demands.

This decision support tool routinely scrutinizes over 500M pairs of customer-stimulus, simulating campaign performance and ultimately arriving at an optimal 1 to 1 targeting and acquisition offer selection.

This agile scenario managed to successfully improve targeting and to tailor the end-user experience, which was manifested through an increase in overall coupon redemption.

Hence, not only did our approach reduce offer distribution and total campaign lead time, but it also brought value to the company and to its customers with these enhanced solutions.

Our AI-generated summary

Our AI-generated summary

Read more

Read more