The Effectiveness of Customized Promotions in Online and Offline Stores
288 citations recorded by the source corpus.
Subfields: Management Information Systems, Marketing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
In Marketing
- Els Breugelmans
- Tammo H. A. Bijmolt
- Tae Hyun Baek
- M. Dorotic
- Peter C. Verhoef
- Di Wang
- Matthew Goldman
- Justin M. Rao
Citations in the corpus
- Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017, methodology): “Typical demand system studies [13, 18, 37, 38] usually involve only several products, categories and several hundred transactions.”
- Marketing Analytics for Data-Rich Environments (2016, unknown): “Within a Bayesian framework, analyses of subsamples of big data with a single or multiple models have been combined using meta-analysis techniques (Bijmolt, Van Heerde, and Pieters 2005; Wang, Bradlow, and George 2014) or model-averaging methods (Chung, Rust, and Wedel 2009).”
- Digital marketing: A framework, review and research agenda (2017, unknown): “Zhang and Wedel (2009) formally compared effectiveness of customized promotions at three levels of granularitymass market, segment specific, and individual specific – in both online and offline stores.”
- Loyalty Programmes: Current Knowledge and Research Directions* (2012, background): “on-line versus off-line) beyond the sensitivity of programme members (Zhang and Wedel 2009).”
- Advertising Bans and the Substitutability of Online and Offline Advertising (2011, unknown): “, 2009), customized promotions (Zhang and Wedel, 2009), ad pricing (Goldfarb and Tucker, 2009), search behavior (Lambert and Pregibon, 2008) and price sensitivity (Chu et al.”
- The Impact of an Item-Based Loyalty Program on Consumer Purchase Behavior (2012, methodology): “To account for uncertainties in the parameter estimates from the model estimation procedure, we adopt Zhang and Wedel’s (2009) approach and integrate each prediction function over the asymptotic distribution of the parameter estimates.”
- Stay Away From Me (2012, background): “As suggested by Zhang and Wedel (2009), personalized promotions are primarily funded by consumer products companies based on special agreements, such as customized coupons and consumer loyalty programs.”