A Visitor to a Content Website is Identified by Personyze as:
Age Range: 25-35
Interested in Exercise and Fitness
Without personalization, she will see the same version of the website as anyone else.
With Personyze, the site will be optimized for her interests and demographic info. Specifically, the personalized content website will provide her with:
Personalized color scheme versions of their logo, based on demographic
Personalized banners and ads based on interests
Content recommendations based on interests
A slider that is relevant to the visitor’s interests
Content Recommendations & Personalization
Shopper Reviews is aiming to use Personyze to increase overall engagement and retention of their audiences by:
Segmenting visitors by demographic and interest
Showing relevant ads and promotions based on those variables
Showing relevant content recommendations, filtered by those variables
How Does It Work?
Personyze can use a variety of methods to determine the visitor’s interest and demographic information. Here are just a few:
Personyze can know the demographic profile of the visitor either by their CRM profile, from Facebook Connect, forms on the site that have been filled out in the past, or third-party data sources external to Personyze.
Interests can be derived from a variety of methods, mostly from their interactions with the site, and landing page or campaign that brought them there.
Personyze recommendations use crowd wisdom plus individual visitor data to show content they are most likely to be interested in.
Beyond Content Recommendations
To take their personalization even further, Shopper Reviews could also:
Use recommendations on content pages to recommend content that is related, “Others who read this article also liked,” “View it again,” etc.
Embed personalized content recommendations in their email newsletter
Create an exit popup to capture their email if they try to leave, perhaps with some incentive.