PreciseTarget’s Consumer Taste Profiles categorise every US adult according to their personal retail and apparel taste –combining brand, style, retailer type and price to determines purchase behaviour and preference.

It uses machine learning to analyse daily data feeds from hundreds of retail partners, so retailers can expand their acquisition audience, reduce acquisition costs, and increase customer lifetime value (LTV) by advertising products that fit shoppers’ individual preferences.

Rob McGovern, CEO of PreciseTarget, said: “Everyone knows that the retail industry is at a crossroads, and we’re here to throw retailers a lifeline by enabling a true omnichannel marketing strategy based on consumers’ individual taste.”