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Mobile vs. Desktop Targeting of Multimedia Advertisements on Facebook

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F17%3A00004153" target="_blank" >RIV/46747885:24310/17:00004153 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mobile vs. Desktop Targeting of Multimedia Advertisements on Facebook

  • Original language description

    Multimedia advertisements on social networks become the inseparable part of digital content consumption. They represent a significant source of revenue for marketers and the service providers themselves. Multimedia ads provide multiple possibilities for content customization a moreover for choosing the characteristic of the target group.The targeting characteristics include for example geographical location, age, sex, interest, type of operation system and type of device. The last mentioned has come to the fore in the last few years due to the increased number of smartphones and other mobile devices. Selecting mobile or desktop targeting of multimedia ads represents nowadays a very discussed topic. Marketers argue whether the desktop advertisement is still effective enough or whether they represent a throwback considering the growing number of mobile users. In the following paper, we are going to test the effectiveness ofmobile vs. desktop multimedia ads on the social network Facebook which at the moment has the biggest mobile advertising platform. The sets of video advertisements will be tested on the specific group of users belonging to the millennial generation that is the most represented among the mobile users. For the testing purposes, we chose a target group future applicants for college while at the same time assigning as a product the offer of tertiary education. The performance of individual advertisements will be assessed based on the metrics from Facebook ads manager and from Google analytics.All leads originating from individual campaigns will be further tracked using UTM based (Urchin Tracking Module) description links.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Liberec Economic Forum 2017

  • ISBN

    978-80-7494-349-2

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    267-274

  • Publisher name

    Technical University of Liberec

  • Place of publication

    Liberec

  • Event location

    Liberec

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000426486500030