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How “frequently bought together” increases ROI | Algolia

Blog post from Algolia

Post Details
Company
Date Published
Author
Catherine Dee
Word Count
1,188
Company Posts That Month
131
Language
English
Hacker News Points
-
Post removed?
No
Summary

You've noticed that the frequently bought together (FBT) recommendations on Wayfair or Home Depot seem a bit wacky, suggesting items that don't necessarily match what you're looking for. This phenomenon can occur due to various reasons such as the algorithm being overworked or not well-tuned, or simply because certain everyday items are naturally paired together. However, if implemented correctly, FBT recommendations can be a powerful tool to boost conversions and increase ROI by suggesting complementary products that enhance the shopping experience. To achieve this, retailers need to fine-tune their FBT strategies, balancing popular items with less frequent but compatible ones, and leveraging tools like Algolia Recommend to streamline the process.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Model Fine-tuning 1 653 128 64 -3%
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