Client
Schubiger Möbel is a Swiss furniture retailer with more than 105,000 customers. They send physical mail to almost their entire base at €1.50 per letter, which costs them around €667K per year.
Solution
With predictive engine we picked 20,000 customers who is likely to buy.
Inside one regular campaign, half of the recipients were selected by the existing rule-based logic and half by the AI model. The offer, timing, and mailing volume were identical for both halves.
The target group selected by the model achieved a five times higher purchase rate and generated €413,000 in additional revenue with this single campaign.
Inside one regular campaign, half of the recipients were selected by the existing rule-based logic and half by the AI model. The offer, timing, and mailing volume were identical for both halves.
The target group selected by the model achieved a five times higher purchase rate and generated €413,000 in additional revenue with this single campaign.
Results
x5
increase in conversion
€413K
extra revenue