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Analyze and Predictions for Marketing on Social Media

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50005537" target="_blank" >RIV/62690094:18450/17:50005537 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analyze and Predictions for Marketing on Social Media

  • Original language description

    The primary objective of this paper is to analyse actual situation of users and revenue on social media like Facebook and Twitter. In follow up on this analysis create a statistical based prediction how will change those numbers in future. Part of this paper is describe global internet advertising on mobile and desktop devices also with following prediction. The aim of the present paper is to introduce growing advertisement of all kind of social media as Facebook, Instagram, Twitter, YouTube, Linkedln etc. Describe predictions for the next year and further. Methods used in paper are Pearson correlation, linear regression to define prediction equation and forecasting values. Main output are predicted values of Facebook hitting 2 billion monthly active users between second and third quarter of 2017. Average revenue per user will be by those predictions between $18, 51 - $19, 47. Twitter will reach half billion monthly active users between first and second quarter of 2019. More than 25 % of global advertising will be on mobile devices by year 2019. Global desktop and mobile devices advertising budget combined is predicted to be $207 billion by year 2019.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Hradec economic days 2017

  • ISBN

    978-80-7435-664-3

  • ISSN

    2464-6059

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    303-309

  • Publisher name

    Gaudeamus

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Jan 31, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000411661000035