Mobile Push vs. Pull Targeting and Geo-Conquesting
Published Online:13 Mar 2024https://doi.org/10.1287/isre.2021.0206
References
- (2001) Empirically distinguishing informative and prestige effects of advertising. RAND J. Econom. 32(2):316–333.Crossref, Google Scholar
- (2003) Interaction terms in logit and probit models. Econom. Lett. 80(1):123–129.Crossref, Google Scholar
- (1987) Dimensions of consumer expertise. J. Consumer Res. 13(4):411–454.Crossref, Google Scholar
- (2013) Advertising in a competitive market: The role of product standards, customer learning, and switching costs. J. Marketing Res. 50(4):489–504.Crossref, Google Scholar
- (2016a) Mobile ad effectiveness: Hyper-contextual targeting with crowdedness. Marketing Sci. 35(2):218–233.Link, Google Scholar
- (2016b) Mobile promotions: A framework and research priorities. J. Interactive Marketing 34(May):15–24.Crossref, Google Scholar
- (2011) Paying for prominence. Econom. J. 121(556):F368–F395.Google Scholar
- (2009) Prominence and consumer search. RAND J. Econom. 40(2):209–233.Crossref, Google Scholar
- (1991) A strategic analysis of electronic marketplaces. Management Inform. Systems Quart. 15(3):295–310.Crossref, Google Scholar
- (1998) Determining where to shop: Fixed and variable costs of shopping. J. Marketing Res. 35(3):352–369.Crossref, Google Scholar
- (2005) Trust in and adoption of online recommendation agents. J. Assoc. Inform. Systems 6(3):4.Google Scholar
- (2015) Consumer heterogeneity and paid search effectiveness: A large‐scale field experiment. Econometrica 83(1):155–174.Crossref, Google Scholar
- (2012) Sales promotions. Özer Ö, Philipps R, eds. The Oxford Handbook of Pricing Management (Oxford University Press, Oxford, UK), 1–912.Google Scholar
- (2003) Consumer switching costs: A typology, antecedents, and consequences. J. Acad. Marketing Sci. 31(2):109–126.Crossref, Google Scholar
- BusinessofApps (2019) Push notification statistics. Accessed March 25, 2023, https://www.businessofapps.com/marketplace/push-notifications/research/push-notifications-statistics/.Google Scholar
- (2015) Where, when, and how long: Factors that influence the redemption of mobile phone coupons. J. Marketing Res. 52(5):710–725.Crossref, Google Scholar
- (2008) Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons. J. Interactive Marketing 22(3):23–39.Crossref, Google Scholar
- (2017) Competitive price targeting with smartphone coupons. Marketing Sci. 36(6):944–975.Link, Google Scholar
- (2015) Contemporaneous and delayed sales impact of location-based mobile promotions. Inform. Systems Res. 26(3):552–564.Link, Google Scholar
- (1975) Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research (Addison-Welsey, Reading, MA).Google Scholar
- (2015) Geo-conquesting: Competitive locational targeting of mobile promotions. J. Marketing Res. 52(5):726–735.Crossref, Google Scholar
- (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47–57.Link, Google Scholar
- (2003) Inexperience and experience with online stores: The importance of tam and trust. IEEE Trans. Engrg. Management 50(3):307–321.Crossref, Google Scholar
- (2013) How is the mobile Internet different? Search costs and local activities. Inform. Systems Res. 24(3):613–631.Link, Google Scholar
- (2019a) Mobile targeting using customer trajectory patterns. Management Sci. 65(11):4951–5448.Link, Google Scholar
- (2019b) Seizing the commuting moment: Contextual targeting based on mobile transportation apps. Inform. Systems Res. 30(1):154–174.Link, Google Scholar
- (2015) How retailers can improve promotion effectiveness: A four-part approach to generating growth. Accessed March 25, 2023, https://www.bcg.com/en-us/publications/2015/retail-pricing-how-retailers-can-improve-promotion-effectiveness.Google Scholar
- (2019) Digital economics. J. Econom. Literature 57(1):3–43.Crossref, Google Scholar
- (1990) An evaluation cost model of consideration sets. J. Consumer Res. 16(4):393–408.Crossref, Google Scholar
- (2020) Distance and local competition in mobile geofencing. Inform. Systems Res. 31(4):1421–1442.Link, Google Scholar
- (2019) Search and learning at a daily deals website. Marketing Sci. 38(4):609–642.Link, Google Scholar
- (2009) Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods. J. Marketing 73(2):55–69.Crossref, Google Scholar
- (2019) The power of geofence marketing. Accessed March 25, 2023, https://www.cmswire.com/digital-marketing/the-power-of-geofence-marketing/.Google Scholar
- (2014) Consumer click behavior at a search engine: The role of keyword popularity. J. Marketing Res. 51(4):480–486.Crossref, Google Scholar
- (2003) Cognitive lock-in and the power law of practice. J. Marketing 67(2):62–75.Crossref, Google Scholar
- (1995) Competition when consumers have switching costs: An overview with applications to industrial organization, macroeconomics, and international trade. Rev. Econom. Stud. 62(4):515–539.Crossref, Google Scholar
- (2009) Marketing Management, 15th ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
- (2008) Marketspace or marketplace? Online information search and channel outcomes in auto retailing. Inform. Systems Res. 19(2):182–201.Link, Google Scholar
- (2020) Matching mobile applications for cross-promotion. Inform. Systems Res. 31(3):865–891.Link, Google Scholar
- (2018) Local market characteristics and online-to-offline commerce: An empirical analysis of groupon. Management Sci. 64(4):1860–1878.Link, Google Scholar
- (2017) Sunny, rainy, and cloudy with a chance of mobile promotion effectiveness. Marketing Sci. 36(5):762–779.Link, Google Scholar
- (2014) Mobile targeting. Management Sci. 60(7):1738–1756.Link, Google Scholar
- (2018) Scanning for discounts: Examining the redemption of competing mobile coupons. J. Acad. Marketing Sci. 46(5):964–982.Crossref, Google Scholar
- MMA (2012) U.S. Consumer best practices for messaging. Accessed March 19, 2023, https://www.mmaglobal.com/files/bestpractices.pdf.Google Scholar
- (2020) Effectiveness of location-based advertising and the impact of interface design. J. Management Inform. Systems 37(2):431–456.Crossref, Google Scholar
- (2007) Explaining cognitive lock-in: The role of skill-based habits of use in consumer choice. J. Consumer Res. 34(1):77–88.Crossref, Google Scholar
- (1996) Promotional elasticities and category characteristics. J. Marketing 60(2):17–30.Crossref, Google Scholar
- (1970) Information and consumer behavior. J. Political Econom. 78(2):311–329.Crossref, Google Scholar
- (2004) Computing interaction effects and standard errors in logit and probit models. Stata J. 4(2):154–167.Crossref, Google Scholar
- (1995) Differential effects of subjective knowledge, objective knowledge, and usage experience on decision making: An exploratory investigation. J. Consumer Psych. 4(2):153–180.Crossref, Google Scholar
- (2012) Research note—Online users’ switching costs: Their nature and formation. Inform. Systems Res. 23(1):197–213.Link, Google Scholar
- (2023) Switching cost and store choice. Amer. J. Agricultural Econom. 105(1):195–218.Crossref, Google Scholar
- (1977) “Information load” and consumers. J. Consumer Res. 4(3):148–155.Crossref, Google Scholar
- (2013) The impact of search costs on consumer behavior: A dynamic approach. Quant. Marketing Econom. 11(2):155–203.Crossref, Google Scholar
- (2000) Pay to switch or pay to stay: Preference‐based price discrimination in markets with switching costs. J. Econom. Management Strategy 9(3):397–424.Crossref, Google Scholar
- (2020) When loyalty goes mobile: Effects of mobile loyalty apps on purchase, redemption, and competition. Inform. Systems Res. 31(3):835–847.Link, Google Scholar
- Statista (2018) Preferred way of receiving mobile coupons from retailers according to Internet users in the united states as of September 2018. Accessed March 11, 2023, https://www.statista.com/statistics/995288/internet-users-preferences-receiving-mobile-coupons-retailers-usa/.Google Scholar
- Statista (2021) The top ad spending verticals in the U.S. Accessed March 21, 2023, https://www.statista.com/chart/19241/top-10-digital-ad-spending-verticals/.Google Scholar
- Statista (2022) Projected CPG manufacturer spending on shopper marketing in the United States in 2020, by type. Accessed March 21, 2023, https://www.statista.com/statistics/1182137/cpg-manufacturer-shopper-marketing-spend-usa/.Google Scholar
- (1961) The economics of information. J. Political Econom. 69(3):213–225.Crossref, Google Scholar
- (1995) Assessing it usage: The role of prior experience. Management Inform. Systems Quart. 19(4):561–570.Crossref, Google Scholar
- The Reinvestment Fund (2011) Understanding the grocery industry. Accessed September 22, 2023, https://www.cdfifund.gov/sites/cdfi/files/documents/understanding-grocery-industry_for-fund_102411.pdf.Google Scholar
- (2007) Perceived effectiveness of push vs. Pull mobile location based advertising. J. Interactive Advertising 7(2):28–40.Crossref, Google Scholar
- (2009) The role of push-pull technology in privacy calculus: The case of location-based services. J. Management Inform. Systems 26(3):135–174.Crossref, Google Scholar

