Yellowcake™ is a universal, generative model that is capable of predicting hundreds of attributes of a consumer without knowing the consumer’s identity. It is trained on a large variety of datasets of payment transactions (merchant and SKU-level), mobility data and demographics, and is over 90% accurate.

Brands, e-commerce companies and even publishers use Yellowcake™ for consumer data enrichment. By enhancing and updating their customer databases with demographic details, behavioral data, and brand affinity, our clients accomplish more personalized marketing, improved customer segmentation, and targeted communication. This leads to higher engagement, increased customer satisfaction, and ultimately, better sales and retention rates.

Clients can query Yellowcake™ via API and get a response in real time. No PII is needed to query the model: the most popular query method is to post RFM (recency, frequency, monetary value) for each user – that’s all Yellowcake™ needs to return hundreds of probabilistic attributes.