E-Commerce Analytics
Increase revenue through targeted marketing campaigns based on customer insights
Client Profile
One of the leading D2C in E-Commerce agencies in UK with more than 1000 number of transactions per day. Running multiple complex e-commerce sites for a number of high-profile brands in multiple regions and languages
Client Requirements
They wanted to increase its revenue by identifying which customers were most likely to buy certain products.
Divaaco’s Approach
The analysts started off by gathering a huge amount of data related to customers, for example their previous transactions, demographic details, and even the times of day they usually shopped. Then, employing sophisticated data analytics methods like machine learning and data mining, they identified trends and relations within the data. According to the results, the analysts created a predictive analytics model that could precisely forecast which customers were most likely to purchase certain items.
Challenges
As a start-up the application was in a constant state of development and requirements for infrastructure were changing constantly. A modular approach for the infrastructure and application was developed so that both can work independently and can be updated as and when required. By utilizing best in class service offerings and custom development, we ensured that we deliver a solution that not only meets customer requirements but exceeds the expectations.
The results were impressive:
Our client was able to increase its revenue by 10% in just one year, thanks to the targeted marketing campaigns. The success of this project led to the creation of Intelligence division, which is now responsible for all of data analytics initiatives. Overall, this success story demonstrates how data analytics can be used to gain insights into customers' behaviors and preferences, which can ultimately lead to increased revenue and improved customer satisfaction.