Our team of experts created an analytics engine that processed both past data and real-time data. It then identified top products and the categories from which customers were likely to purchase.
This engine then was able to predict purchases from anonymous and new customers by combining third party data with the first few clicks of the user session.
Then, we processed massive amounts of data to produce effective product bundles. We performed a price movement analysis to understand price and sales patterns, and derived insights on customer purchases based on groups. This information allowed the company to market more effectively.
The company’s conversion rate increased by 28%, resulting in a broader customer base and increased revenue.
The additional data analysis also equipped them to more informedly market to their potential customers and make product decisions.