Search results ranking changed based on big data analysis and investment returned in 12 months

Goal

To define the stores that bring high profit but are low on the search results page.

Obstacle

The vast amount of data collected by the platform wasn’t efficiently used to improve user experience.

Solution

The BI-analyst audited the platform. We plugged Amazon Redshift to collect the data about the user activity from various sources and created a control panel to display the data analysis results: the most popular and unpopular stores, profit from them, etc. According to the analysis, we raised potentially profitable stores in search results.

Client’s review