Replication Data for: How push messaging impacts consumer spending and reward redemption in store-loyalty programs

DOI

Data from large scale field experiment not included in package because NDA agreement with company prevents us from adding this. The study looks into the effectiveness of mobile push messaging in terms of increasing consumer spending and redemption during a temporary loyalty program.

Abstract: Retailer loyalty programs (LPs) are pervasive in grocery retailing. However, participant spending and redemption typically wear off over time and traditional communication has not revealed very effective at maintaining program engagement. We study the impact of in-app mobile push notifications on consumer participation and reward collection in store-loyalty programs. Using a unique data set covering consumer spending before and during such a program, we estimate the effect of push messaging on expenditure and reward redemption during the program. We report positive effects of push messages on spending, and even stronger effects on redemption, relative to a control group not receiving such messages. Due to the savings dynamics, the total spending impact is larger for messages sent early on rather than late in the program, while the opposite holds for the total number of stamps redeemed. Conditioning on observable consumer characteristics, we allow for heterogeneous treatment effects and find that the spending and redemption effects of push messaging increase with high levels of pre-program spending. Our findings reveal which loyalty-program stakeholders benefit the most from mobile marketing campaigns and help to formulate rules for campaign scheduling and targeting.

Identifier
DOI https://doi.org/10.34894/4AOMC4
Related Identifier https://doi.org/10.1016/j.ijresmar.2021.02.001
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/4AOMC4
Provenance
Creator Bies, Suzanne; Bronnenberg, Bart; Gijsbrechts, Els ORCID logo
Publisher DataverseNL
Contributor Bies, Suzanne M.T.A.; DataverseNL
Publication Year 2021
Rights This work is licensed under a CC BY license. For more information see https://creativecommons.org/licenses/by/4.0/; info:eu-repo/semantics/openAccess
OpenAccess true
Contact Bies, Suzanne M.T.A. (Tilburg University, Tilburg School of Economics and Management)
Representation
Resource Type Field experiment data; Dataset
Format application/x-stata-syntax; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/pdf; text/x-matlab
Size 467; 5533; 3592; 4856; 6684; 7964; 12848; 20372; 212726; 21540; 612149; 123235; 6048; 6073; 9961; 10078; 10047; 10388; 95350; 998914; 399053; 43161; 406028; 5802; 5918; 5798; 2894; 2943; 6099; 229243; 236538; 236123
Version 2.1
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences