Abstract
This research introduces a new method to evaluate and make most practical use of the growth of information on the Internet. The method is based on the “Internet in Real Time” statistics delivered by WebFX and Worldometer tools, and develops a combination of these two options. A method-based application is deployed with the following five live counters: Internet traffic, Tweets sent, Google searches, Emails sent and Tumblr posts, to measure the dynamics of the overall trend in user activity. Four parts of a day and three categories of days are examined as corresponding discrete inputs. In the search for the most effective web advertisement, the displaying strategy will vary directly with the level of users’ activity in the form of live counters over 12 months of 2018. Two competent surveys consolidate the outcome of our work and demonstrate how the company can identify the best web advertising strategy closer to his business needs and interests. We conclude with the discussion whether the considered method can lead to superior efficiency level of all other communication activities.
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Notes
- 1.
Internet World Stats. Retrieved 30–May–2019 from http://www.internetworldstats.com.
- 2.
Internet Live Stats. Retrieved 30–May–2019 from https://www.internetlivestats.com.
- 3.
WebFX The Internet in Real Time. Retrieved 30–May–2019 from https://www.webfx.com/internet-real-time.
- 4.
Worldometer. Retrieved 30–May–2019 from https://www.worldometers.info.
- 5.
Public Opinion Research Center. Retrieved 30–May–2019 from https://www.cbos.pl/EN/home/home.php.
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Acknowledgments
This research received financial support from the statutory funds at the Wrocław University of Science and Technology.
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Lisiecki, A., Król, D. (2020). Internet Advertising Strategy Based on Information Growth in the Zettabyte Era. In: Hernes, M., Wojtkiewicz, K., Szczerbicki, E. (eds) Advances in Computational Collective Intelligence. ICCCI 2020. Communications in Computer and Information Science, vol 1287. Springer, Cham. https://doi.org/10.1007/978-3-030-63119-2_36
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