eSales Made Personal

Prediggo vs. Traditional Personalization

The question is whether traditional solutions that rely heavily on transactional data can provide the level of personalization today's online shoppers expect? Prediggo does not think so. In order to have a comprehensive solution that can personalize not only recommendations but also content, search results, merchandising and customer relationship management, that requires a new approach.

Let's start with product recommendations because they are such a critical tool for sales conversion. Traditional recommendation systems, e.g. Amazon's "Customers Also Bought," have major limitations.

Unable to recommend new items
No diversity, biased to Top Sellers
Require powerful and expensive servers
Labor intensive for marketer to customize

Why use Prediggo Strategic Personnalization?

Prediggo's exclusive new approach, Strategic Personalization, adresses the limitations of traditional solutions through innovation in the key components of effective targeting:

Semantic modeling allows to enhance the customer purchase behavior with the semantic descriptors of items in order to make more precise recommendations without facing the limitations of traditional recommendation system.
Browsing Profile is built for every visitors that comes to the site in order to give him a unique experience and propose him the hidden jewels.
Ontology Filtering is our patented new technology that combines the semantic modeling and transactional data in advanced data structures called Ontologies. These ontologies are used along with the user's browsing profile to genereate real time recommendations for every user action on the site.
Marketer tools in our back office allows marketer to easily customize ervery single recommendations down to the individual one so that they meet the company buisness goal. This is the end of the black box!

The Prediggo Startegic Personnalization is so innovative and efficient that is was awarded 2 silver awards in Buisness Efficiency and Innovation at the Best of Swiss Web 2010.

Check out our case study to see why >>