Analyze and Predictions for Marketing on Social Media

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analyze and Predictions for Marketing on Social Media

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Analyze and Predictions for Marketing on Social Media

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Hradec economic days 2017

ISBN

978-80-7435-664-3

ISSN

2464-6059

e-ISSN

neuvedeno

Počet stran výsledku

7

Strana od-do

303-309

Název nakladatele

Gaudeamus

Místo vydání

Hradec Králové

Místo konání akce

Hradec Králové

Datum konání akce

31. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000411661000035