Who:

A large retailer of precious metals

Strategy:

To serve relevant product recommendations, the retailer created Audiences based on their own first-party data. Using Dynamic Yield’s user-affinity recommendations strategy, every visitor is exposed to the most relevant product recommendations at the top of the homepage.

Hypothesis:

First-party data, or the information a brand has collected about its audience over time, yields valuable insights into what a user’s preferences are on an individual level. With this data in hand, marketers can build audiences based on affinities to certain brands, colors, styles, price-ranges, and more, for the delivery of recommendations that the individual will be most likely to engage with. This user-affinity strategy not only maximizes engagement opportunities but is also hardwired to make the most effective recommendations, even as user preferences change over time.