CPG & Retail, Data Analytics
A US-based energy drink brand, with a large customer base in the eSports community, wanted to identify which product categories were best for acquiring new customers with long-term value. Having this information was key to allocating their marketing resources to their best advantage. But without the methodology or analytics expertise, it struggled to determine which product categories contributed the most to customer growth and profitability.
A US-based energy drink brand, with a large customer base in the eSports community, wanted to identify which product categories were best for acquiring new customers with long-term value. Having this information was key to allocating their marketing resources to their best advantage. But without the methodology or analytics expertise, it struggled to determine which product categories contributed the most to customer growth and profitability.
Netscribes’ analytics team broke the problem down into three parts:
To derive these insights, we leveraged the client’s historic transactional data, including customer IDs, product information, date of purchase, and POS data.
Next, we studied the purchase behavior of customers over 12 months to find out how many had returned and how much they spent during that period.
With a low ticket size, but frequent transactions, Starter kits topped other categories in terms of customer value.
In the final step, we analyzed sales against the costs associated with each product category, such as marketing, logistics, discounts, and commissions, to determine the profit margins. For the first time, the client saw that Starter kits contributed little to its profits despite its ability to acquire more customers. Tubs, on the other hand, was a more profitable product category and ranked second in driving sales.
Based on such insights, the company could: