Скачать или смотреть Ecommerce Search Case Study

LuckyVitamin had previously relied on another search vendor to handle its site search. While search would work for customers who were already well-informed as to the exact product they needed, the vendor’s string matching algorithm wasn’t prepared for customers who would enter more general queries, for example around “heart health” or “keto diet,” which was a common occurrence (and became even more common when COVID-19 hit).

It wasn’t uncommon for search results to provide either hundreds of results or none, and customers began to get frustrated and abandon the site without finding what they were looking for.

“Our customers would get something like 210 results, and that experience left them wondering what to do next. They had no way of comprehending which product was the right choice,” explains Vishal Arora, Senior Director of Digital Experience at LuckyVitamin.

That's when Constructor was brought in, and connected Customers to Products through AI.

With customers abandoning and losing trust in search, it was time to seek out a new solution. Search and browse were critical functions to LuckyVitamin’s customer experience and revenue, and drops in performance on those pages threatened to impact both the customer experience and the bottom line.

After broadly evaluating a number of product discovery options, the LuckyVitamin team found that Constructor’s approach to search and discovery was fundamentally aligned with their vision. Together, Constructor and LuckyVitamin were able to complete an end-to-end integration in just a month. Looking back on the process, Arora reflects that implementation was “an incredibly strong, incredibly important, and validating experience.”

Tailoring search results and browse pages for each site visitor based on that user’s clickstream data, Constructor’s machine-learning platform helped surface products not only on textual relevance but on attractiveness as well.

“We used to miss so many connections between conversational search terms and the products they were intended to describe,” Arora says. “With Constructor, we can actually get those items in front of people because the connection between actual behavior and search terms is stronger.”

Almost immediately, LuckyVitamin began to see dramatic lifts in key metrics with Constructor’s AI and machine learning implementation for search, autosuggest, and browse.

Read the full case study here : https://constructor.io/luckyvitamin-i....

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