Online Media

Internet Advertising
Millions of users are constantly browsing popular websites on the internet round the clock to look for a specific product or service. In such situations online advertising comes into picture. The concept of online advertizing is quite simple. Show the right ad to the right person. Interestingly, in spite of the simplicity, online ad campaigns have only recently identified the enormous potential of ad targeting. Showing random ads might still attract a few customers, but aiming right will surely attract more.

Why Do Online AD Targeting?

The Internet has become the primary source of information about products and services. More businesses have turned to the Internet as it has become the primary mean of mass communication. The customer has also realized the power of information being available at the click of a mouse and appreciates businesses offering customized solutions. In an environment so conducive, advertisers who target the right audience are bound to get much higher returns on their investments as compared to those still aiming in the dark. This realization has led to a growing interest in online ad targeting.

Analytical Models For Online AD Targeting

Online ad targeting primarily allows you to unravel the goldmine of information from the vast amount of web traversal data available about users. Ad targeting systems use advanced analytical models combined with large size data processing capabilities to map the right advertisements to the right user. Advanced techniques like Bayesian statistics and clustering are combined with secondary information like web traversal statistics, categorical information available about websites to identify the most appropriate modeling approach for online ad targeting.
  • Converts web traversal data into a
    gold mine of information about potential customers.
  • Suggests interests and
    requirements of the users and
    serving ads accordingly.
  • Increases in the click-through-rates (CTR) of the media campaigns
  • Allows proactive catering to the discerning customer's needs.
  • Behavioral targeting
  • Demographic targeting
  • Contextual targeting
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