Customer Experience, Service & Success

Granify: Now Personalizing Search Results


Having driven over $650 Million in additional revenue for its partners in 2021 through Product Spotlights and Personalized Product and Cart pages, Granify is now bringing its proven machine-learning backed optimization expertise to enhance Search Results

Granify Inc., responsible for optimizing 6.7 billion shopping sessions in 2021, announced today the release of Granify for Search. This new search enhancement solution will enable Granify’s partners to showcase dynamically personalized recommendations alongside the shopper’s search results for a machine-learning optimized customer experience.

Granify for Search is now being launched on select partner e-commerce sites, after a collaborative design and review process to ensure stylistic consistency with partner search results pages.

Details of Granify’s Dynamically Personalized Search:

  • Personalized recommendations will appear alongside shopper search results on search result pages.
  • Personalized search results will be displayed based on shopper search queries, and will highlight social proof related to the terms that the user searched.
  • Granify’s machine learning engine (the Granify Brain) will ensure the same high level of optimization excellence across personalized search experiences that is seen on partner product spotlights and personalized product and cart pages.

“I’m excited to provide our retail partners with a new avenue to rapidly personalize the shopping experience while also immediately increasing their revenue,” said Jeff Lawrence, CEO and founder of Granify. “This is another step towards Granify enabling our partners to provide a delightfully personalized and optimized experience for every shopper at each moment of the shopping journey.”

This product launch comes on the back of Granify’s recent iOS + Android integration announcement, as the conversion optimization platform continues to expand its services in order to provide fully optimized digital experiences across platforms.

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