24 January 2017
4:30 PM
CORE, b-135
Using Early Click Information in Online Flash Sales Campaigns
Victor MARTINEZ de ALBENIZ, IESE Business School
Flash sales retailers organize online campaigns where products are sold for a short period of time at a deep discount. The demand in these events is very uncertain, but clickstream data provides very detailed information about the shopping process. We build a model for shoppers' sequential decisions about visiting a campaign, obtaining product information and placing a purchase, which we validate using a large data set from a leading flash sales firm. We find that life-cycle dynamics and heterogeneity across campaigns and products are the main sources of variation, and that the main uncertainty occurs in the transition between considering a product and purchasing it. Our forecasting model allows flash sales retailers to learn about the performance new products in a few hours. We use this information to update prices so as to better match supply and forecasted demand and increase profits.