The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages

This paper presents a novel predictive model for advertising campaigns in IPTV networks that uses the advanced geolocation-based display of advertising messages. Thanks to advanced data analysis and modern geolocation technologies, the proposed model enables the more precise planning and optimisatio...

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Main Authors: Chmielewska Aleksandra Maria, Grabowski Marcin Tomasz
Format: Article
Language:English
Published: Sciendo 2024-09-01
Series:Studia Ekonomiczne i Regionalne
Subjects:
Online Access:https://doi.org/10.2478/ers-2024-0025
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author Chmielewska Aleksandra Maria
Grabowski Marcin Tomasz
author_facet Chmielewska Aleksandra Maria
Grabowski Marcin Tomasz
author_sort Chmielewska Aleksandra Maria
collection DOAJ
description This paper presents a novel predictive model for advertising campaigns in IPTV networks that uses the advanced geolocation-based display of advertising messages. Thanks to advanced data analysis and modern geolocation technologies, the proposed model enables the more precise planning and optimisation of advertising campaigns. Advertisers can thus better understand the preferences and behaviours of audiences in different geographical regions. This allows the creation of more tailored and engaging content of programmes and advertisements, leading to higher levels of viewer engagement in the content presented and increasing the effectiveness of campaigns.
format Article
id doaj-art-2ccef356e61c47dc8879524c1a89fc98
institution Kabale University
issn 2451-182X
language English
publishDate 2024-09-01
publisher Sciendo
record_format Article
series Studia Ekonomiczne i Regionalne
spelling doaj-art-2ccef356e61c47dc8879524c1a89fc982024-12-10T07:32:58ZengSciendoStudia Ekonomiczne i Regionalne2451-182X2024-09-0117346348510.2478/ers-2024-0025The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messagesChmielewska Aleksandra Maria0Grabowski Marcin Tomasz11Public Policy, Mazovian University in Płock, Poland1Public Policy, Mazovian University in Płock, PolandThis paper presents a novel predictive model for advertising campaigns in IPTV networks that uses the advanced geolocation-based display of advertising messages. Thanks to advanced data analysis and modern geolocation technologies, the proposed model enables the more precise planning and optimisation of advertising campaigns. Advertisers can thus better understand the preferences and behaviours of audiences in different geographical regions. This allows the creation of more tailored and engaging content of programmes and advertisements, leading to higher levels of viewer engagement in the content presented and increasing the effectiveness of campaigns.https://doi.org/10.2478/ers-2024-0025tviptvadvertisingtarget groupsm37
spellingShingle Chmielewska Aleksandra Maria
Grabowski Marcin Tomasz
The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages
Studia Ekonomiczne i Regionalne
tv
iptv
advertising
target groups
m37
title The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages
title_full The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages
title_fullStr The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages
title_full_unstemmed The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages
title_short The prediction model for advertising campaigns in IPTV networks based on the possibilities of displaying geographically targeted messages
title_sort prediction model for advertising campaigns in iptv networks based on the possibilities of displaying geographically targeted messages
topic tv
iptv
advertising
target groups
m37
url https://doi.org/10.2478/ers-2024-0025
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