DATA SALES REVENUE MODEL

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TYPES OF MODELS:

• User data

  • Platforms that are capable of process large amounts of user data, find patterns, segment the audience and analyse them in depth. 

• • • e.g. BlueKai.

• Business data

  • Similar to the previous example, this is data analytics platforms but which are business-focused and which allow relationships to be found and conclusions to be drawn. 

• • • e.g. Duedil Simbiotika.

• User intelligence

  • These are platforms that aggregate a large amount of information, sometimes via crowdsourcing, and monetise their activity by selling conclusions and consolidated reports on their activity. 

• • • e.g. Yougov

• Search traffic

  • These are companies that are are dedicated to collecting large volumes of information on Internet search traffic and then use that data and technology to sell user search behaviour analysis. 

• • • e.g. Chango.

• Real-time information on consumer intent

  • An emerging monetisation strategy is based on monetising the analysis of user behaviour based on the study of user intent. 

• • • e.g. Yieldbot.

• Benchmarking Services

  • Companies that analyse big data from a particular sector or audience and provide analysis of this data, for example on user browsing habits.

• • • e.g. Comscore.

• Market Research

  • These are companies that exploit various technologies to conduct market research in a more agile way or with a highly segmented audience, and monetise by offering different forms of payment than traditional market research. 

• • • e.g. GLG, Feebo.