Based on Microsoft’s latest prototype Demographics Prediction tool at adCenter Labs Demonstration technology to predict a customer’s age, gender, and other demographic information according to his or her online behavior—that is, from search queries and webpage views.
I tried this for both email filtering and email monitoring.
The results were as follows:
Email Monitoring:
Male Probabilty: 79%
Female Probabilty: 21%
Age Group: 35-49
Email Filtering:
Male Probabilty: 45%
Female Probabilty: 55%
Age Group: 25-34
and finally, for my website URL…
www.dicontas.co.uk
Male Probabilty: 78%
Female Probabilty: 22%
Age Group: 50+
I dont know what observations and findings I can deduce from these statistics – but I hope that all my website/blog visitor are not aged 50+ otherwise my business will be in trouble. My only guess is that as I am a new site with a unique domain name, most search engines come back with “Do you mean discounts”. Does this mean that all mature people insist on discounts. Who knows – I need to wait over 10 years to find out!