Consumer Goods Retailer Sees ROAS of $37
Parametric used trade area information to analyze competitor locations and customer behaviors outside the store in order to develop a comprehensive customer profile. They used these insights and overlayed competitor dot density information with their own customer data, sending targeted mailers to specific areas. By targeting key customers effectively, they were able to achieve a return on ad spend (ROAS) of $37.
A consumer goods retailer sought to re-engage past customers that no longer shopped their store but appeared to shop nearby competitors. How could they target these customers, and could they do so in a cost-effective way?
Using trade area information for competitor locations, Parametric helped the retailer overlay competitor dot density information with proprietary past customer data, then send targeted mailers to those specific areas. This approach generated a return on ad spend (ROAS) of $37 - an astounding result.
Placer broadens retailers’ understanding beyond their proprietary customer data. With trade areas, competitor insights, and customer behaviors outside the store, we have a more complete customer profile and know how to target them to win more business. The results speak for themselves.