The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Attributing Conversions in a Multichannel Online Marketing Environment: An Empirical Model and a Field Experiment
Abstract
Technology enables a firm to produce a granular record of every touchpoint consumers make in their online purchase journey before they convert at the firm's website. However, firms still depend on aggregate measures to guide their marketing investments in multiple online channels (e.g., display, paid search, referral, e-mail). This article introduces a methodology to attribute the incremental value of each marketing channel in an online environment using individual-level data of customers’ touches. The authors propose a measurement model to analyze customers’ (1) consideration of online channels, (2) visits through these channels over time, and (3) subsequent purchases at the website to estimate the carryover and spillover effects of prior touches at both the visit and purchase stages. The authors use the estimated carryover and spillover effects to attribute the conversion credit to different channels and find that these channels’ relative contributions are significantly different from those found by other currently used metrics. A field study validates the proposed model's ability to estimate the incremental impact of a channel on conversions. In targeting customers with different patterns of touches in their purchase funnel, these estimates help identify cases in which retargeting strategies may actually decrease conversion probabilities.
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Cites
17. A Value for n-Person Games
Shapley, L. S. (1953) · Contributions to the Theory of Games (AM-28), Volume II · doi:10.1515/9781400881970-018 · Cited by 6,950
Cognitive Lock-In and the Power Law of Practice
Johnson, E. J., Bellman, S., & Lohse, G. L. (2003) · Journal of Marketing · doi:10.1509/jmkg.67.2.62.18615 · Cited by 389
From Generic to Branded: A Model of Spillover in Paid Search Advertising
Rutz, O. J., & Bucklin, R. E. (2011) · Journal of Marketing Research · doi:10.1509/jmkr.48.1.87 · Cited by 360
Practice Prize Paper—Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression
Wiesel, T., Pauwels, K., & Arts, J. (2011) · Marketing Science · doi:10.1287/mksc.1100.0612 · Cited by 207 · cited 2×
“…channels for information search; (2) the visit stage, in which the customer visits the website through a specific channel for information search and evaluation of alternatives; and finally, (3) the purchase stage, in which the customer makes a purchase (see, e.g., Wiesel, Pauwels, and Arts 2011).”
Cited by
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
Digital marketing: a framework, review, and research agenda
Kannan, P. K., & Li, H. “. (2017) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2016.11.006 · Cited by 1,707
Self-citationMarketing Analytics for Data-Rich Environments
Wedel, M., & Kannan, P. K. (2016) · Journal of Marketing · doi:10.1509/jm.15.0413 · Cited by 1,261
Self-citationAugmented reality marketing: How mobile AR-apps can improve brands through inspiration
Rauschnabel, P. A., Felix, R., & Hinsch, C. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.004 · Cited by 747
Machine learning and AI in marketing–Connecting computing power to human insights
Ma, L., & Sun, B. (2020) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2020.04.005 · Cited by 602
Metadata
- Authors
- Li, H. (., & Kannan, P. K.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2014-02
- Volume
- 51
- Issue
- 1
- Pages
- 40-56
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W2064636232
- Cited by
- 437
- References
- 4
- FWCI
- 53.58
- Type
- journal article
- Language
- en
- Open access
- closed
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