Discover Your Target Audience with Microsoft's Demographics Tool

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SUMMARY

The discussion focuses on Microsoft's Demographics Tool, which utilizes adCenter technology to predict user demographics such as age and gender based on online behavior. Specific examples illustrate the tool's predictions, revealing insights such as a 58% male orientation for the URL www.physicsforums.com and a 57% female orientation for www.google.com. The tool demonstrates varying demographic distributions across different queries and URLs, highlighting its utility for online advertisers seeking to understand their target audience more effectively.

PREREQUISITES
  • Understanding of online advertising concepts
  • Familiarity with demographic analysis techniques
  • Basic knowledge of web analytics tools
  • Experience with interpreting user behavior data
NEXT STEPS
  • Explore Microsoft's Demographics Tool for practical applications
  • Research demographic prediction algorithms used in adCenter technology
  • Learn about user behavior analysis in online marketing
  • Investigate case studies on successful demographic targeting strategies
USEFUL FOR

Digital marketers, advertisers, data analysts, and anyone interested in leveraging demographic insights to enhance online advertising strategies.

Rach3
I've convered this strange device intended for online advertisers: http://adlab.microsoft.com/DPUI/DPUI.aspx
Demographics Prediction
You can use adCenter 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.

Examples:
URL:www.physicsforums.com

Gender: Male Oriented with following Confidence:

Male :0.58
Female :0.42

Age: <18 Oriented with following distribution:
URL:www.google.com

Gender: Female Oriented with following Confidence:

Male :0.43
Female :0.57

Age: 35~49 Oriented with following distribution:

Huh? I guess I must be out of touch - I use a search engine marketed for older women. :confused:
 
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Computer science news on Phys.org
Other attempts:

query "star trek fan" - 81% male (nerds!)
query "condensed matter" - 82% male, age 18-24 (nerds?)
url "www.nytimes.com" - 60% male, age >50

but
query "einstein" - 55% female, age 35-49
although the crackpot's version becomes
query "einstein" - 54% male, age 24-39

query "richard dawkins" - 54% female, age >50
query "william dembski" - 60% male, age <18 (dumb kids!)

url "www.myspace.com" - 63% female, age 18-24

url "xxx.lanl.gov" (the arXiv) - 57% male, age 18-24
 
Thanks for the link Rach!