Online sales charts increasingly show shoppers how many people chose each product. Demand is more concentrated when a few products take a larger share of all choices. Imagine your team is deciding whether to show prior choices beside the songs in a music storefront. How would that change demand, and how well could you forecast market share?
When shoppers see what others already chose, they crowd toward popular products, which concentrates demand and makes market share harder to forecast.
Data chart
Percent rise in how unevenly choices spread across a category's 30 products when shoppers see prior choices, compared with seeing none. Unevenness runs from 0, every product chosen equally, to 1, one product taking every choice.
Showing prior choices concentrates actual music demand, interest in movies and consideration of scarves.
Online choices across 30 products per category; each purchase stage was tested in a different category. Exact concentration scores with prior choices hidden and shown: music .147 and .220; movies .088 and .105; scarves .155 and .178 (Table 1, p. 430). Bars show the percent rise between each pair, rounded to whole numbers, not a rise in total demand. The earlier music experiment reported .2 and .45–.55, read from its graphs; these are a separate study benchmark.
Data chart
Largest observed fall and rise in a midrange song's market share when shoppers see prior choices rather than none, in percent change.
Showing prior choices can move a midrange song's market share sharply in either direction.
Observed extremes for intermediate songs in the artificial music markets, compared with choices made without prior-choice information: decreases by up to 40% and increases by up to 65% (p. 430; signed values −40% and +65%). The paper does not define how many songs count as intermediate and does not report these extremes for movies or scarves.
Key takeaway
When shoppers see prior choices, they crowd toward popular products, which makes market share harder to forecast.
The experiment covers online choices about music, movies and scarves in a panel from Western Europe, and only music involved actual demand. Movies and scarves involved stated interest or consideration, and the study did not track retail sales or profit.
Source
Maecker, O., Grabenströer, N.S., Clement, M., & Heitmann, M. (2013). Charts and demand: Empirical generalizations on social influence. International Journal of Research in Marketing, 30, 429–431. https://doi.org/10.1016/j.ijresmar.2013.08.001.
https://doi.org/10.1016/j.ijresmar.2013.08.001
Exact values behind the rounded figures: concentration is the Gini coefficient of choices across the 30 products in each category, where a higher value means fewer products take a larger share of choices; values without and with prior choices are .147 and .220 for music (about 50% higher), .088 and .105 for movies (about 19% higher), and .155 and .178 for scarves (about 15% higher); average top-ten market-share gains of 2% for music, 4% for movies and 8% for scarves, and bottom-ten changes of −20%, −1% and −5%, respectively; midrange music market-share falls of up to 40% (−40%) and rises of up to 65% (+65%); earlier music experiment about .2 without and .45–.55 with prior choices (roughly 125% to 175% higher), versus .147 and .220 in this replication.