Competitive Advertising on Brand Search: Traffic Stealing and Click Quality

Andrey Simonov () and Shawndra Hill ()
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Andrey Simonov: Columbia Business School, Columbia University, New York, New York 10027
Shawndra Hill: Columbia Business School, Columbia University, New York, New York 10027

Marketing Science, 2021, vol. 40, issue 5, 923-945

Abstract: We measure the effectiveness of competitive advertising on brand keywords in sponsored search (“brand search”) using a large-scale, quasiexperimental ad allocation on Bing. Competitors are able to steal traffic from the focal brand, and they steal an order of magnitude more clicks if the focal brand’s link is exogenously removed from the top paid position (6%–15% instead of 1%–2% of traffic). The traffic stealing is primarily done by a competitor in the top paid link (6%–9% of traffic) who benefits from the presence of other competitors below. However, the probability of an immediate conversion on these “stolen” clicks is low, with around 20%–47% of consumers returning to Bing in less than 30 seconds after the click (“quick back”) compared with 7% for consumers clicking on the focal brand’s link. More relevant competitors get more clicks with a lower quick-back probability. We discuss the managerial implications of our estimates and compute the quality-adjusted cost of competitors’ “offense” and focal brands’ “defense.”

Keywords: advertising; paid search; natural experiments; causal inference (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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