Drive Shopper Relevance With AI-Driven Digital Commerce Search

In this analyst report, Forrester details the latest e-commerce search strategies that leading retailers should use to drive increased relevance, loyalty, and conversions.

Inside this detailed report, you’ll learn:

  • How to leverage first-party and in-session data to derive insights into consumer intent even on their first website visit.
  • How to use intent data to show customers the right products at the right time.
  • What areas you should invest in to improve your product discovery journey.
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Forrester states that 75% of online adults find advanced site search features important. Explore how AI and machine learning can help you create personalized discovery experiences for every visitor.





Why this report?

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Level up your site search

Learn what data sources you should use to derive real-time insights into consumer intent to create a personalized experience for every customer.
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Meet the needs of tomorrow’s customer

According to Forrester, 75% of US online adults say it’s important for retailers to provide advanced site search. Identify where you should invest to drive increased relevance, loyalty, and conversions.
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Discover the future of commerce search

The future of product search is much more than a simple search bar. In this report, Forrester will detail how chatbots, voice search, and cognitive search are the future of your customer journey.
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"To provide the best in product findability and consumer convenience, merchants must explore how new relevance tools powered by AI and machine learning (ML) can boost KPIs for engagement, conversion, and loyalty."
Forrester Research, Inc., June 1, 2021

Friend, ready to gain insights into product discovery?

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