Creating customer insight from Retail DnA
Go beyond traditional demographics to create an unbiased way to understand customers based on what they do, not who they are. Retail DnA is designed to generate real customer insight from data that retailers can convert into value-generating actions.
The team
What EY can do for you
By combining a machine’s speed, and its ability to scale and learn, with human power, Retail DnA can help brands to close the customer insights gap.
Retail DnA combines information from various data sources to understand the digital footprint, transactional data, physical interaction and verbal dialogue of a customer.
This allows Retail DnA to generate insights and develop natural clusters based on the actual activity of customers, rather than on their profiles.
An enterprise-wide view of buyers’ purchasing patterns and shopping behavior can allow brands to create the right offer and communicate it at the right time, through the right channel.
Retail DnA continuously works to improve prediction, helping brands maintain relevance and deliver value to their customers.
Using real customer behavioral data to form natural clusters, Retail DnA goes beyond traditional demographics to create an unbiased way to understand customers based on what they do, not who they are. By combining a machine’s ability to scale, speed and learn with human-power, Retail DnA can help brands to close the customer insights gap by:
- Understanding shopper behavior and preferences
- Valuing customer individuality
- Accurately predicting next likely customer action
- Helping the marketing team to develop and deliver the right personalized offers at the right time through the right channel