Case Studies

We drove email customization efforts for a major e-commerce player. For this, we developed an algorithm that inferred customers’ interests based on past purchases, email behaviors, site visit information, and demographics. The content of the email was then automatically modified to suit each individual’s interests. This approach led to a 20% increase in open rates and 200% increase in click-through rates.

Approach

• Client was sending out frequent e-mail communication to existing customers.
• We designed multiple content tests to measure impact on response rates (open rates, conversion rates) of different messaging.
• These tests were statistically designed and measured.

Analysis

Results

• Identified the most optimal subject line to be used to encourage customers to open the email – improved open rates by 20% and Click-through-rates by 200%