Cited by 71Digital Marketing and Social MediaConsumer Market Behavior and PricingCustomer Service Quality and Loyalty

Words matter! Toward a prosocial call-to-action for online referral: evidence from two field experiments

Jung, Jaehwuen, Bapna, Ravi, Golden, Joseph M., Sun, Tianshu·2020·Information Systems Research

Abstract

The underlying premise of referral marketing is to target existing ostensibly delighted customers to spread awareness and influence adoption of a focal product among their friends who are also likely to benefit from adopting the product. In other words, referral programs are designed to accelerate organic word-of-mouth (WOM) exposure using financial incentives. This poses a challenge, in that it mixes an intrinsically motivated process (stemming from the desire to share a customer’s delight with a product or a service) with an extrinsic trigger in the form of a financial incentive. In this paper, we demonstrate how firms can benefit from framing calls-to-action for referral programs in such a way as to move closer to the original intent of organic, intrinsically motivated WOM marketing, and yet at the same time reap the benefits of using a financial incentive to increase referral rates. In particular, via two large-scale randomized field experiment involving 100,000 customers each, we show the efficacy of a prosocial call-to-action over some of the more commonly used calls-to-action observed in practice. Additional mechanism-level analysis confirms the importance of an altruistic element in generating a higher quality of advocacy and reducing referral frictions.

Integrity signals

Registry

Crossref · 10.1287/isre.2019.0873

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Ichheiser D, 1946, Amer. Psych., 1, 258
  2. Sun T, 2020, Management Sci.
  3. 10.1509/jm.74.2.133 · DOI

Cited by

Sorted by citations

Authors
Jung, J., Bapna, R., Golden, J. M., & Sun, T.
Affiliations
  • Temple University (US)
  • University of Minnesota (US)
  • Collage.com, Brighton, Michigan 48116;
  • University of Southern California (US)
Venue
Information Systems Research
Published
2020-03
Volume
31
Issue
1
Pages
16-36
ISSN
  • 1047-7047 (ISSN-L)
  • 1526-5536
OpenAlex
W2952830335
Cited by
71
References
26
Citations by year
2026: 11 · 2025: 13 · 2024: 10 · 2023: 11 · 2022: 9 · 2021: 10 · 2019: 2 · 2018: 3 · 2015: 1 · 2014: 1
FWCI
10.01
Type
journal article
Language
en
Open access
closed
Locations
Information Systems Research (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
Keywords
referral program, word-of-mouth marketing, financial incentives, referral rates, altruism, customer advocacy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review