What is personalization in ecommerce?
The ability to serve tailored content to an otherwise anonymous segment of users (web traffic) is the first step in personalization.
And online fashion retailers don’t hesitate to collect a customer’s critical data points to power their ecommerce store which varies from personal details and their interests based on the history of what they surf on the online store.
With the infrastructure in place to efficiently and accurately collect data in real-time, all best-in-class personalization platforms are driven by artificial intelligence and machine learning; which track on-site and customer data points in real-time and then deliver a unique personalized experience to each online store visitor (whether window shoppers or customers).
Leaving every potential customer to question their privacy.
To be more precise, 22% of the shoppers are unhappy about the personalization experience they get from technical cookies thing, adding to that the highest vulnerable industry in ecommerce by experiencing 32.4% attacks in various forms. As ecommerce sites and apps have storage and exchanges of critical data and sensitive info, tempting malicious attackers the most.
When this is the case how will you employ the highest level of personalised experience formulating a business strategy around your specific needs and size of your customers without hurting their privacy?
Well, I advise you to develop a personalized shopping strategy that will typically create a more whitehat experience for your brand. And this strategy will employ the explicit method of data collection with a rare touch of AI.
By incorporating all the comforts they enjoyed while shopping indirect fashion stores will be a heart-warming experience. Which in turn makes your customers feel secure and safe while shopping with you online.
Stick with me as we explore the TOP 5 features that you might need to include in your fashion ecommerce that changes the way your online customers shop.
Modern level of fashion ecommerce store personalization
Online fashion retailers are tracking their customers across multiple devices to gain valuable data on who their most valuable customers are, how often those customers are interacting with their brand, and what those on-site experiences look like.
This helps their customers receive all the benefits in a more cohesive, personalized experience, as a direct result of being recognized throughout their purchase journey.
Explicit personalization has some distinct features, that the ecommerce retailers can accumulate the data from the user without spending much on machine learning but by using a form manner.
Above all, you should be accurate with the explicit data collection for your fashion ecommerce website. needs to collect data from your visitors that describes the users’ interests, preferences, activities, and context. This information specifies the visitor’s profile, which in turn, determines what content they will see.
So explicit data is provided intentionally and taken at face value rather than analyzed or interpreted for further meaning. Examples of explicit data include information provided in surveys and membership applications.
Here is the example of explicit data collection: