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α: calibrated so average coauthorship-adjusted count equals average raw count
Abstract We consider competing mobile marketers that complement geo-targeting with behavior-based pricing and send personalized offers to customers. Firms observe consumers’ locations and can infer their (heterogeneous) responsiveness to discounts from purchase histories. The overall profit effect of behavioral targeting is driven by firms’ discount factor and consumers’ transport cost and can be neutral, positive, or negative. We are the first to show that the profitability of behavioral data may depend on firms’ time preferences. We derive conditions for when firms prefer more rather than less behavioral targeting.