eCommerce Search Optimization Case Studies
See how retailers use FindTuner to improve relevance, personalize product discovery, align search with business priorities, and create measurable results.
Migros: Machine Learning for Personalization
Machine learning uses shopper behavior and other performance signals to align product rankings with shopper intent and MFM AG’s business objectives. Visual navigation further improves discovery by guiding shoppers to relevant, high-value content.
Fabory: FindTuner for SAP Commerce
Fabory used FindTuner to improve product search by combining relevance tuning with KPI data and business objectives. “FindTuner empowers our team with easy-to-use tools for tuning relevancy, managing campaigns, and creating customer-centric search and navigation experiences,” said Vasuki Muralidhar, CIO at Fabory.
Endeca Migration to FindTuner
FindTuner enabled the organization to move from Endeca without sacrificing its existing merchandising capabilities, while adding more precise targeting and greater control over search experiences. By combining relevance optimization with sales and analytics data, the new solution better aligned product results with shopper intent and business priorities. The organization also achieved faster search performance and a more responsive customer experience.
Meijer: Aligning Merchandising and Marketing Strategies
Meijer used FindTuner to align merchandising and marketing strategies, contributing to increased conversion rates and basket sizes. The team also improved shopper experiences, responded more quickly to seasonal marketing needs, and personalized discovery for loyalty program members.