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PL
Artykuł prezentuje przegląd teorii w zakresie zachowań konsumenckich, wraz z ich adaptacją do warunków środowiska reklamy internetowej, jednocześnie z perspektywy konsumenta oraz marketera. Poprzednie badania naukowe w tym obszarze wskazywały na silną potrzebę weryfikacji teorii zachowania konsumentów w obszarze internetowym poprzez wykorzystanie obserwacji realnych zachowań konsumentów. Aby pokazać złożoność narzędzi reklamy internetowej i sposobów pomiaru, dokonano analizy 565 ścieżek decyzyjnych realnych konsumentów z wykorzystaniem kilku popularnych modeli atrybucji. Wyniki potwierdzają, że klasyczne modele decyzyjne są wciąż zbieżne z obecnymi zachowaniami konsumenckimi w środowisku internetowym, jednakże należy pamiętać o wielu trudnościach związanych z analizą wpływu poszczególnych kanałów reklamowych na podejmowanie decyzji przez konsumenta oraz ograniczeniach technologicznych, co wymaga dalszych badań.
EN
This paper presents a review of marketing theories on the topic of consumer behaviour from the perspective of the consumer and the marketer and its adaptation to the online advertising environment. As previous researches have shown, there is a strong need to verify these theories in practice using real consumer data, and not surveys conducted among students - as most researchers do. In order to show the complexity of online advertising and measurement tools, 565 real online consumer journey paths were analysed using several most popular conversion attribution models. The results confirm that classical decision making processes are still suitable to current consumer behaviour but there exist many difficulties in indicating channels responsible for particular decision making process stages and technology limitations require some further research.
EN
Marketers are currently focused on proper budget allocation to maximize ROI from online advertising. They use conversion attribution models assessing the impact of specific media channels (display, search engine ads, social media, etc.). Marketers use the data gathered from paid, owned, and earned media and do not take into consideration customer activities in category media, which are covered by the OPEC (owned, paid, earned, category) media model that the author of this paper proposes. The aim of this article is to provide a comprehensive review of the scientific literature related to the topic of conversion attribution for the period of 2010–2019 and to present the theoretical implications of not including the data from category media in marketers’ analyses of conversion attribution. The results of the review and the analysis provide information about the development of the subject, the popularity of particular conversion attribution models, the ideas of how to overcome obstacles that result from data being absent from analyses. Also, a direction for further research on online customer behavior is presented.
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