The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework

Title The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework
Author Haan, E. de, Wiesel, T., Pauwels, Koen Hendrik
Publication Date: 2016-09
Publication Place - Elsevier
Subject Marketing attribution, Content integration, Customer initiated, Structural vector autoregression, Restricted impulse response function
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0167-8116
Record ID edc5a553-b35c-426b-adaf-39137d275c50
Library Location Business Administration
Date 2016-09
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text The Internet has given rise to many new forms of advertising. Scientific studies have focused on individual reactions to specific advertising forms in isolation and have offered little guidance for aggregate-level budget allocation decisions, which are typically based on simple rules. This article compares the long-term effectiveness of nine forms of advertising—seven online and two offline—by means of a structural vector autoregressive model and restricted impulse responses. For five product categories, we investigate how these forms of advertising generate traffic, affect conversion, and contribute to revenue. We find that content-integrated advertising is the most effective form, followed by content-separated advertising and firm-initiated advertising. Although online advertising forms have similar power to drive traffic, content integration dominates content separation in the area of progression toward purchase. Last-click attribution underestimates content-integrated activities and suggests online advertising budget allocations that yield 10%–12% less revenue than the status quo, whereas the model's proposed online advertising budget allocation yields a 21% revenue increase over the status quo. These results highlight the payoffs for companies that integrate content into online media.
DOI 10.1016/j.ijresmar.2015.12.001
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The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework

Author Haan, E. de, Wiesel, T., Pauwels, Koen Hendrik
Publication Date 2016-09
Publication Place - Elsevier
Subject Marketing attribution, Content integration, Customer initiated, Structural vector autoregression, Restricted impulse response function
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0167-8116
Record ID edc5a553-b35c-426b-adaf-39137d275c50
Library Location Business Administration
Date 2016-09
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text The Internet has given rise to many new forms of advertising. Scientific studies have focused on individual reactions to specific advertising forms in isolation and have offered little guidance for aggregate-level budget allocation decisions, which are typically based on simple rules. This article compares the long-term effectiveness of nine forms of advertising—seven online and two offline—by means of a structural vector autoregressive model and restricted impulse responses. For five product categories, we investigate how these forms of advertising generate traffic, affect conversion, and contribute to revenue. We find that content-integrated advertising is the most effective form, followed by content-separated advertising and firm-initiated advertising. Although online advertising forms have similar power to drive traffic, content integration dominates content separation in the area of progression toward purchase. Last-click attribution underestimates content-integrated activities and suggests online advertising budget allocations that yield 10%–12% less revenue than the status quo, whereas the model's proposed online advertising budget allocation yields a 21% revenue increase over the status quo. These results highlight the payoffs for companies that integrate content into online media.
DOI 10.1016/j.ijresmar.2015.12.001
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