Below we outline examples of customer data, and highlight what data eCommerce stores should use to create better customer experiences.
The first type of customer data is identity. Customer identity is data that enables you to distinguish one customer from another.
Most prospects being relationships with brands as an an cell phone directory india onymous shopper. Platforms such as Barilliance track anonymous user actions, and ultimately connect them to a known customer record.
This is most often done when the anonymous visitor takes a self-identifying action. This can be prompted by brands via signup bonuses, when a prospect logs into an existing account, or creates a new account as part of the checkout process.
Below is a customer identity example from Bookings.com.
Above, Bookings.com recognizes potential returning visitors via IP Address. They create a popup encouraging the anonymous visitor to identify themselves by logging in.
A more typical example of customer identity comes from Pampers. Here, an anonymous visitor is greeted with a welcome pop-up. The pop-up offers an incentive in exchange for creating an account, identifying the customer and opening up the ability to attach customer data to the individual.
Above, Pampers uses welcome pop-ups to transform anonymous visitors into known prospects.
Customer identity data
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