« Back To Use Cases

Personalized Search Results

  • Customer: Instreet
  • Overview: Instreet, a prominent sneaker and sportswear retail chain in Turkiye, aimed to enhance its online shopping experience by implementing personalized product search based on visitor interests. To achieve this, Instreet integrated SegmentHub, a dynamic data management platform (DMP) that analyzes visitors’ interests in real-time and tailors search results accordingly. By leveraging SegmentHub’s capabilities, Instreet aimed to boost sales and customer satisfaction through personalized shopping experiences.
  • Scenario:
    • Visitor Engagement: A visitor navigates to Instreet’s online store to explore the latest sneaker models and sports products from renowned brands like Nike, Vans, Adidas, and more.
    • Real-time Data Analysis: Upon entering the site, SegmentHub instantly gathers data on the visitor’s preferences, including brand affinity, gender, size, purchasing power, and color preferences.
    • Personalized Search Results: When the visitor initiates a search, such as entering “sneakers” into the search bar, SegmentHub dynamically modifies the search results page based on the visitor’s interests. For example:
      • If the visitor’s browsing history suggests a preference for Nike and Adidas brands, the search results prominently feature products from these brands.
      • For a female visitor, the search results prioritize sneakers available in women’s sizes and colors preferred by the visitor.
      • SegmentHub also takes into account other factors like purchasing power and size availability, ensuring relevant product search results tailored to the visitor’s profile.
    • Enhanced Shopping Experience: The visitor is presented with a curated selection of sneakers and sportswear items that align with their interests and preferences, enhancing their shopping experience and increasing the likelihood of making a purchase.
  • Results: By integrating SegmentHub and implementing personalized product search results, Instreet witnessed a significant increase in sales generated from search traffic. The tailored search results led to a 37% boost in sales, indicating the effectiveness of personalized results in driving conversions and customer satisfaction.
  • Conclusion: Through the integration of SegmentHub, Instreet successfully transformed its online shopping experience, providing visitors with personalized product recommendations based on their individual interests. By leveraging real-time data analysis and dynamic content modification, Instreet achieved notable improvements in sales performance and customer engagement, positioning itself as a leader in delivering personalized retail experiences in the market.

Instreet Realtime personalized search results