Traditional personalization uses basic customer data, limiting itself to simple tactics like addressing customers with their first name in the subject line. Meanwhile, hyper-personalization goes a step further by using real-time data to deliver more relevant communications to consumers.
For instance, personalization may consist of advertising exercise apparel to customers who purchased similar items online the previous year. Hyper-personalization, on the other hand, might include advertising the same workout gear with ads based on the payment method, exact purchase location, social media activity, discounts used, and more detailed data.
Theres no denying that hyper-personalization is an effective way for marketers to generate leads and increase company revenue. According to research by Ascend2, only about 9 percent of marketers say they have developed an approach to hyper-personalization.
According to 53 percent of marketers, applying data insights to decision-making is an obstacle to the success of a hyper-personalization strategy.
Businesses that create and implement hyper-personalization strategies will be able to keep up with the increasing demands of consumers while staying ahead of their competition.
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