A Visitor to a Fashion E-Commerce Site is Recognized by Personyze as:
Interested in Men’s Formalwear
Interested in Tuxedos
Without Personalization, he would see the same mix of clothing as anyone else.
With Personyze Product Recommendations, this fashion site can show offers and promotions which are more likely to be relevant to his interest, thereby increasing engagement and conversion. They do this by using our system to:
Show relevant product recommendations throughout the site
Show men’s formal-wear product recommendations on the home page
Show product recommendations for similar items on the cart page
Show what other visitors who viewed this also viewed on product pages
Show product recommendations for accessories in re-marketing emails
Interest-Based Dynamic Product Recommendations
The goal of the fashion site in this application of Personyze personalized product recommendations tool is to:
Increase engagement by showing the visitor only what they are most interested, using dynamic interest tracking and product recommendations
Increase conversion and cross-sales, and reduce cart abandonment by making the content of the site engaging to the user, based on their interest
How Do Personyze Product Recommendations Work?
Personyze is able to establish a visitor’s interest based on a variety of methods, from behavioral targeting to CRM and referral. Using our system, fashion sites can:
Track which pages the user spent the most time on, and which products they’ve had the most interactions with in past visits
If the user is new/anonymous, the landing page or ad campaign they arrived at can also be used to determine their interest.
It may also make sense to derive this from the CRM, particularly if Personyze was recently installed on the site and doesn’t have a long history of tracking visitor behaviors.
Beyond Product Recommendations
Showing a dynamic product recommendations based on the visitor interest is a major step forward that’s guaranteed to increase engagement, but there’s even more that Personyze can do for fashion sites, such as:
Automatically send them personalized emails when they haven’t been to the site in a while, or make special offers if they haven’t purchased recently
Show different images based on demographics like gender
Make different offers to those in different age groups
Prevent new users from bouncing by offering a countdown exit popup with 15% off if they buy within the next 15 minutes
On the home page, product recommendations display the visitors most recent known interest.
On Product Pages, product recommendations show related items based on crowd wisdom
On the cart page, product recommendations show products frequently bought with item in cart
In re-marketing emails, recommendations are included based on interest, or items left in cart