Ecommerce platforms have to work hard to get customers to their platform. A good marketing strategy is the only source through which businesses can expand themselves online. We often receive requests where businesses want to increase customer engagement to their online platform. The only way through which businesses can boost sales is through a hyper-personalized marketing strategy.

GreyFOX is an AI-based marketing platform with a smart personalization engine to enable eCommerce platforms to boost sales.
ecommerce personalization

Source:Gartner

What is eCommerce Hyper-Personalization?

eCommerce hyper-personalization means enabling businesses to curate exclusive offers for every customer to boost sales and revenue. The offers are created only after evaluating the needs and preferences of the customers based on their purchase patterns- demographics, personal data, etc.

According to Optimaster reports, the average shopping cart abandonment reached 76% from 2006 to 2018. With the hyper-personalized marketing strategy, businesses can provide relevant offers to the customers to reduce cart abandonment and boost sales.
ecommerce personalization

Image Source:Optimonster.com

Hyper-personalization is the key to business success therefore our marketing strategy aims to target audiences based on their preferences. Personalized eMails are sent to customers based on their choices, interests, gender, etc.

Important tips for eCommerce personalization

Segmentation: It is important to know who the customers are, where they are coming from, which device they are using, etc. to curate personalized offers. GreyFOX AI is a Hyper-personalised marketing automation platform that enables businesses to curate exclusive offers for customers as per their requirements. The platform focuses on smart targeting by using data generated through AI algorithms.

In hyper-personalization, the offers should be curated based on customers' experiences on your platform. According to Shopify, good eCommerce personalization should include the following points:

Meet users’ tacit attitudes and preferences
Refrain from sending poor recommendations to app visitors.
Offers must be curated for customers keeping returns in min

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