Case Study: Target Australia achieves 13.4% lift in search and 14.8% lift in search purchase rates with Constructor.io

Target Australia - Customer Case Study

Target Australia, an iconic retailer focused on great customer experiences and low prices, needed to modernize its online product discovery after a surge in e-commerce. Their legacy search platform strained the tech stack, lacked actionable analytics, required specialist tuning, and couldn’t deliver machine‑learning personalization or efficient merchandising, so Target Australia ran POCs and chose Constructor.io for its ML-backed, out-of-the-box product discovery capabilities and partnership approach.

Constructor.io implemented a machine‑learning search and personalization solution (search, browse, autosuggest, recommendations) with an easy dashboard and close collaboration to get live quickly. The result was measurable: a 13.4% lift in search and a 14.8% lift in search purchase rates (Jan–Apr 2021), driving higher product clicks and purchases while simplifying merchandising and optimization.

Target Australia

Melissa Salipas

Senior Digital Product Manager