tritonX offers many new personalization possibilities through the use of big data. What are the possibilities of big data and tritonX in the time of Corona? We recently gave a Webinar about this. In addition to the personal data of customers in tritonX, each store also has employees with a great deal of customer and product knowledge. In a combination of offline and online, this can create a unique personal shopping experience – even in times of Corona.
A real personal experience for the customer is of course a personal appointment with an advisor. In tritonX, the consultant can see at a glance what type of customer this is, which brands the customer often buys and, for example, the size of this customer. The marketer or advisor in tritonX can also easily print out which regular customers bought last year in the current period. These customers can then be approached personally for an appointment in the store with a “style advisor”.
Consultants and regular customers can also be “matched” in tritonX. The style advisers can enter their best customers in tritonX, sometimes this is already registered for customers who have previously had personal shopping agreements. Style advisors can then, for example, select their favorite items for a “shop-the-look” page on the retailer’s website. Clients can then be contacted via email with a link to view their style advisor’s favorite looks on this page.
Another interesting combination of online and offline personalization is the fashion box. The fashion box is a personal box specially composed for the customer. This strategy is therefore mainly intended for, for example, the top 100 best customers that can be obtained from tritonX. There are three different options for creating such a fashion box. First of all, through personal data via tritonX a personal box can be composed by advisers of the retailer. In addition, it is, for example, possible to make different “standard” fashion boxes. You can also use the data from tritonX to look at the most common customer segments or best-selling products. Finally, for example, customers can also put together their own personal fashion box via video chat with the style advisor.
These fashion boxes can first be presented to the customer online by filling a shopping basket or wish list. After that, the fashion box could possibly be sent to the customer to fit at home.
Curious and excited to learn more about using big data to create online and offline personal experiences? Then do not hesitate to contact us!
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