This paper investigates the preference between real-time locational targeting and discount depth and how these factors influence consumer purchasing behavior in mobile marketing. We experiment with the context of the location (focal, competitive, benchmark), the timing (real -time vs. delayed) and the discounting depth (low, medium, high) using a 3 x 2 x 3 factorial field experiment with 36,000 observations. Causal effects are identified using random assignment, difference-in-differences estimation and triple differences regression. Results show significant locational targeting effects especially in competitive locations when combined with deeper discounts. Discount response curves vary significantly across locations, showing diminishing returns to focal locations as well as threshold effects in competitive situations. The findings provide useful information for mobile pricing strategies at the location level.
P. Grifoni, A. D’Ulizia, and F. Ferri, “Context-Awareness in Location Based Services in the Big Data Era,” Mobile Big Data, pp. 85–127, Nov. 2017, doi: 10.1007/978-3-319-67925-9_5.
D. Asamoah, S. Takieddine, and M. Amedofu, “Examining the effect of mobile money transfer (MMT) capabilities on business growth and development impact,” Information Technology for Development, vol. 26, no. 1, pp. 146–161, Apr. 2019, doi: 10.1080/02681102.2019.1599798.
O. Yurur, C. H. Liu, Z. Sheng, V. C. M. Leung, W. Moreno, and K. K. Leung, “Context-Awareness for Mobile Sensing: A Survey and Future Directions,” IEEE Communications Surveys & Tutorials, vol. 18, no. 1, pp. 68–93, 2016, doi: 10.1109/comst.2014.2381246.
C.-D. Ham, J. Lee, J. L. Hayes, and Y. H. Bae, “Exploring sharing behaviors across social media platforms,” International Journal of Market Research, vol. 61, no. 2, pp. 157–177, Jun. 2018, doi: 10.1177/1470785318782790.
A. A. Ahmed and A. Palusa, “A Location-Based Mobile Advertising System for Small-to-Medium Businesses,” 2nd EAI International Conference on Smart Technology, pp. 1–14, Jun. 2022, doi: 10.1007/978-3-031-07670-1_1.
T. Park, R. Shenoy, and G. Salvendy, “Effective advertising on mobile phones: a literature review and presentation of results from 53 case studies,” Behaviour & Information Technology, vol. 27, no. 5, pp. 355–373, Sep. 2008, doi: 10.1080/01449290600958882.
T. Matsumoto and K. Hidaka, “Evaluation the effect of mobile information services for public transportation through the empirical research on commuter trains,” Technology in Society, vol. 43, pp. 144–158, Nov. 2015, doi: 10.1016/j.techsoc.2015.08.001.
A. Kendrick, “Promotional products vs price promotion in fostering customer loyalty: a report of two controlled field experiments,” Journal of Services Marketing, vol. 12, no. 4, pp. 312–326, Aug. 1998, doi: 10.1108/08876049810226982.
H. Qi, X. Yao, and W. Fan, “Competitive rivalry in the digital market: an action-configuration perspective,” Management Decision, vol. 61, no. 1, pp. 144–175, Nov. 2022, doi: 10.1108/md-09-2021-1158.
S. Khajehzadeh, H. Oppewal, and D. Tojib, “Mobile coupons: what to offer, to whom, and where?,” European Journal of Marketing, vol. 49, no. 5/6, pp. 851–873, May 2015, doi: 10.1108/ejm-04-2014-0252.
P. N. Shamdasani, A. J. S. Stanaland, and J. Tan, “Location, Location, Location: Insights for Advertising Placement on the Web,” Journal of Advertising Research, vol. 41, no. 4, pp. 7–21, Jul. 2001, doi: 10.2501/jar-41-4-7-21.
E. M. K. Shiu, G. Walsh, L. M. Hassan, and D. Shaw, “Consumer uncertainty, revisited,” Psychology & Marketing, vol. 28, no. 6, pp. 584–607, May 2011, doi: 10.1002/mar.20402.
N. M. Fong, Z. Fang, and X. Luo, “Geo-Conquesting: Competitive Locational Targeting of Mobile Promotions,” Journal of Marketing Research, vol. 52, no. 5, pp. 726–735, Oct. 2015, doi: 10.1509/jmr.14.0229.
S. F. Bernritter, P. E. Ketelaar, and F. Sotgiu, “Behaviorally targeted location-based mobile marketing,” Journal of the Academy of Marketing Science, vol. 49, no. 4, pp. 677–702, Jun. 2021, doi: 10.1007/s11747-021-00784-0.
Y.-M. Chen, T.-Y. Chen, and L.-C. Chen, “On a method for location and mobility analytics using location-based services: a case study of retail store recommendation,” Online Information Review, vol. 45, no. 2, pp. 297–315, Jun. 2020, doi: 10.1108/oir-10-2017-0292.
J. Bacon, J. Bates, and D. Halls, “Location-oriented multimedia,” IEEE Personal Communications, vol. 4, no. 5, pp. 48–57, 1997, doi: 10.1109/98.626983.
T. Zhu and V. Singh, “Spatial competition with endogenous location choices: An application to discount retailing,” Quantitative Marketing and Economics, vol. 7, no. 1, pp. 1–35, Jan. 2009, doi: 10.1007/s11129-008-9048-6.
E. J. Salazar, M. Jurado, and M. E. Samper, “Reinforcement Learning-Based Pricing and Incentive Strategy for Demand Response in Smart Grids,” Energies, vol. 16, no. 3, p. 1466, Feb. 2023, doi: 10.3390/en16031466.
CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Anandakumar Haldorai;
Methodology: Runtian Jing;
Writing- Original Draft Preparation: Runtian Jing and Anandakumar Haldorai;
Visualization: Anandakumar Haldorai;
Investigation: Runtian Jing;
Supervision: Runtian Jing;
Validation: Runtian Jing and Anandakumar Haldorai;
Writing- Reviewing and Editing: Runtian Jing and Anandakumar Haldorai.
All authors reviewed the results and approved the final version of the manuscript.
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Anandakumar Haldorai
Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
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Cite this article
Runtian Jing and Anandakumar Haldorai, “Examining Real-Time Locational Targeting and Discount Depth in Mobile Marketing Promotions”, Journal of Enterprise and Business Intelligence, vol.6, no.2, pp. 093-101, April 2026. doi: 10.53759/5181/JEBI202606010.
