Observe
- Observe the user behavior on the website
- Optimize online media purchase, through better insight into different referrers through which a certain individual reached your website
In direct mail, only market research allows us to investigate and learn post-campaign from your customer’s behavior.
In the interactive online environment however, any of the net-affairs solutions allows to really observe and even interact with our customers in real time! Even during campaigns, we will be able to learn from the visitor’s online behavior on your website and qualify them individually, thanks to a unique and self-learning scoring system.
We asked our technical partner Netmining for the behavioral targeting part of net-affairs to custom their solution, which enables to track prospect and customer behavior on site as regards product interest and buying propensity.
Proprietary self learning algorithms measure a wide variety of data to develop deep qualitative profiles and calculate a site visitor’s true interests, as well as his or her propensity to buy right now.
This allows you to more accurately target key customers with messaging, interactions and advertising that dynamically update with pricing, product or other targeted information based on each customer’s unique interests at a given time in his/her customer lifecycle.
Information sources used to calculate true interest include:
- Search queries
- Pages visited
- Time spent on page(s)
- Recency of visits
- Frequency of visits
- Past purchase history (in case of linking with database)
- Aging curve for each product
- Click path value
- Demographic data
- Propensity to buy
