A proof of concept was set up over four months to address both issues. Epsilon began by matching Secret Escapes’ customer data against its CORE ID graph. By doing so, Epsilon revealed deeper insights into Secret Escape’s customers from the thousands of additional data points on CORE ID. This included key demographic information influencing travel decisions, including gender, age, income, and marital status. It also identified the number of touchpoints available for each customer to understand how to engage with them.
From these enhanced profiles, a display campaign driven by dynamic ads was developed to create more relevant, personalised, and resonating messages built around an individual’s interests across their purchase journey.
Epsilon was also able to find and reconnect Secret Escapes with a proportion of its lapsed customers. This included identifying the cost per reactivated customer, allowing Secret Escapes to concentrate activity around those individuals offering the best return on its activity.