Behavioral targeting or behavioral targeting is a technique used by online publishers and advertisers to increase the effectiveness of their campaigns.
Behavioral targeting uses information collected on an individual's web-browsing behavior, such as the pages they have visited or the searches they have made, to select which advertisements to display to that individual.
For Example, a visitor is searching for home loan and he landed your site, your site offers other type of loans also like personal loans, car loans, and mortgage loans etc. Suppose visitors clicking only home loan links then here comes behavioral targeting to serve him all the ads offering home loans. It will increase the CTR of ads.
Practitioners believe this helps them deliver their online advertisements to the users who are most likely to be influenced by them.
Behavioral targeting techniques may also be applied to content within retail or other e-commerce website as a technique for increasing the relevance of product offers and promotions on a visitor by visitor basis. Again, behavioral data can be combined with demographic and past purchase history in order to produce a greater degree of granularity in the targeting.
In behavioral targeting, the most important issue is starting with the right data. There is a hypothesis of what are the 10 to 15 available data points you can use that can significantly impact the value of an audience member. It is not about data mining, or amassing data, but on focusing a collection of high-value data points.
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