The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Return on Engagement Initiatives: A Study of a Business-to-Business Mobile App
Abstract
Firms are increasingly offering engagement initiatives to facilitate firm–customer interactions or interactions among customers, with the primary goal of fostering emotional and psychological bonds between customers and the firm. Unlike traditional marketing interventions, which are designed to prompt sales, assessing returns on engagement initiatives (RoEI) is more complex because sales are not the primary goal and, often, direct sales are not associated with such initiatives. To assess RoEI across varying institutional contexts, the authors propose and empirically implement a methodological framework to investigate a business-to-business mobile app that a tool manufacturer provides for free to engage its buyers. The data include sales by buyer firms that adopted the app over 15 months, as well as a control group of buyers that did not adopt. The results from a difference-in-differences specification, together with selection on observables and unobservables, show that the app increased the manufacturer's annual sales revenues by 19.11%–22.79%; even after accounting for development costs, it resulted in positive RoEI. This RoEI was higher when buyers created more projects using the app, so customer participation intensity appears to underlie RoEI. This article contributes to engagement literature by providing a methodological framework and empirical evidence on how the benefits of engagement initiatives materialize.
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Cites
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
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
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2008) · doi:10.2307/j.ctvcm4j72 · Cited by 5,051
Customer engagement behavior: Theoretical foundations and research directions
van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010) · Journal of Service Research · doi:10.1177/1094670510375599 · Cited by 3,536
Customer engagement: exploring customer relationships beyond purchase.
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679200201 · Cited by 2,089
News Media Channels: Complements or Substitutes? Evidence from Mobile Phone Usage
Xu, J., Forman, C., Kim, J. B., & Van Ittersum, K. (2014) · Journal of Marketing · doi:10.1509/jm.13.0198 · Cited by 180 · cited 5×
“Research designed to assess the efficacy of mobile apps (e.g., Einav et al. 2014; Urban and Sultan 2015; Xu et al. 2014) thus should account for both direct (e.g., nonzero”
BackgroundInfluentialExcessive dependence on mobile social apps: A rational addiction perspective
Kwon, H. E., So, H., Han, S. P., & Oh, W. (2016) · Information Systems Research · doi:10.1287/isre.2016.0658 · Cited by 156
Mobile App Analytics: A Multiple Discrete-Continuous Choice Framework1
Han, S. P., Park, S., & Oh, W. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.4.09 · Cited by 86
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Hughes, C., Swaminathan, V., & Brooks, G. (2019) · Journal of Marketing · doi:10.1177/0022242919854374 · Cited by 789
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Tong, S., Luo, X., & Xu, B. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00693-3 · Cited by 322
The Role of Marketer-Generated Content in Customer Engagement Marketing
Meire, M., Hewett, K., Ballings, M., Kumar, V., & Van den Poel, D. (2019) · Journal of Marketing · doi:10.1177/0022242919873903 · Cited by 298
Driving Mobile App User Engagement Through Gamification
Paschmann, J. W., Bruno, H. A., van Heerde, H. J., Völckner, F., & Klein, K. (2025) · Journal of Marketing Research · doi:10.1177/00222437241275927 · Cited by 34
Metadata
- Authors
- Gill, M., Sridhar, S., & Grewal, R.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2017-07
- Volume
- 81
- Issue
- 4
- Pages
- 45-66
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2587336072
- Cited by
- 158
- References
- 9
- FWCI
- 39.84
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.