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The Problem
To be effective, companies need to target increasingly precise interests within diverse audiences.
Conventional approaches to recommendation systems leverage indirect data such as aggregate purchases or histories of past interests. Most participants in advertising and e-commerce markets, however, do not produce sufficient data to describe these markets to any significant depth, particularly with respect to the individual interests of consumers.
Most recommendation systems, therefore, target offerings based on broad attributes (or trends) within a market, not based on fine-grained interests. Further, these solutions segment and organize offerings in advance of consumers articulating their interests.
This conventional approach of trying to predict the interests of a target audience in advance is complex, expensive, and often ineffective.
Consequently, current advertising and e-commerce solutions require the participants to express their interests in extremely narrow terms, limiting the productivity of their solutions. Connections between interests and deals cannot be surfaced, reducing the overall rate of transactions.
Primal’s Solution: Personalized Recommendations
Primal’s personalized recommendation system presents customers with products and messaging that appeal to their unique interests.
As the only consumer-directed and real-time solution to product and service recommendations, it organizes and segments offerings at the very moment consumers are expressing their interests. This allows consumers to self-identify based on their unique interests, at that moment in time.
Primal delivers highly personalized recommendations that are uniquely tailored to each individual participant, as expressed at the moment when the transaction is being considered. Further, Primal’s recommendations avoid the use of expensive, indirect approaches that raise privacy concerns among consumers.
Primal’s personalized recommendations work in an open and transparent way, to create a new kind of shopping experience, a more cost-effective approach to marketing and a direct impact on conversion rates.
