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Profile Targeting

Behavioural Targeting

TPN uses anonymous user tracking to predict the demographics and interest of users it sees across its extensive network of local sites.

Over time TPNs behavioural engine learns about a user as they visit and interact with sites and content across its network. TPN uses a range of algorithms and user modelling to assign attributes to each user it sees. These attribute tags allow specific segments of users to be grouped together and targeted by relevant campaigns.

Behavioural Tags include:

Demographic

  • gender
  • age
  • income
  • education

Interests & Intent

  • Automotive (cars, luxury, SUVs, sports, bikes, boats, trucks)
  • Entertainment (gaming, movies, music, TV)
  • News (local, national, world, business)
  • Technology (mobile, laptops, PCs, software, appliances, home theatre)
  • Business (SME, IT, finance)
  • Finance (car, home, investments, credit cards)
  • Lifestyle (dating, health, food, parenting, gossip)
  • Sports (rugby, cricket, soccer, netball, hockey, sailing, mountain biking)
  • Travel (flights, car rental, cruises, hotels, holidays, business travel)
  • Telecommunications (mobile, phone, broadband)
  • Shopping (electorioncis, clothes, gifts, alcohol, sport, books)
  • Education (schools, university, conferences)

There are also a large number of additional specific behavioural tags that can be used to target campaigns.

Contact a TPN campaign manager to discuss how behavioural targeting can enhance your campaign.

TPN has stringent privacy policies and allows users to view their cookie data created by the targeting system and to edit or block (opt-out) the targeting tags.

 

Behavioural Targeting is scheduled for commercial release: Aug 2010