{"id":33561,"date":"2022-05-05T18:53:44","date_gmt":"2022-05-05T18:53:44","guid":{"rendered":"https:\/\/www.bloomreach.com\/?post_type=library&p=33561"},"modified":"2024-09-17T10:14:43","modified_gmt":"2024-09-17T10:14:43","slug":"the-anatomy-of-personalized-search","status":"publish","type":"library","link":"https:\/\/www.bloomreach.com\/en\/library\/guides\/the-anatomy-of-personalized-search","title":{"rendered":"The Anatomy of Personalized Search"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

If you\u2019re looking to unlock magical customer experiences that foster customer loyalty online, the key lies with personalization and artificial intelligence (AI).<\/p>\n\n\n\n

But first, think back to the last in-store shopping experience you had that surprised or delighted you. Even if it\u2019s been a while, we\u2019ve all had at least one stellar shopping experience, and it most likely had to do with that extra bit of attention to detail or personalization.<\/p>\n\n\n\n

The challenge, though, is how marketers and merchandisers can translate those same meaningful, in-person experiences to an online setting. When site search returns zero results or irrelevant products, that can lead to customer frustration and drop-off, especially with so much competition online in today\u2019s market.<\/p>\n\n\n\n

That\u2019s where AI in marketing comes in. By leveraging customer data and machine learning, you can anticipate your customer\u2019s next move and improve the customer experience.<\/p>\n\n\n\n

Read on to learn how to use AI-driven tools and take advantage of personalized search features in order to enable your online shoppers to feel understood, delighted, and eager to return to your site.<\/p>\n\n\n\n

Personalized Search Experience, Defined<\/h2>\n\n\n\n