Google’s ad quality score was an opaque behavioral-prediction metric priced by the firm
Evidence
Another key metric called the “quality score” helped determine the price of an ad and its specific position on the page, in addition to advertisers’ own auction bids. The quality score was determined in part by click-through rates and in part by the firm’s analyses of behavioral surplus. “The clickthrough rate needed to be a predictive thing,” one top executive insisted, and that would require “all the information we had about the query right then.” It would take enormous computing power and leading-edge algorithmic programs to produce powerful predictions of user behavior that became the criteria for estimating the relevance of an ad. Ads that scored high would sell at a lower price than those that scored poorly. Google’s customers, its advertisers, complained that the quality score was a black box, and Google was determined to keep it so. Nonetheless, when customers followed its disciplines and produced high-scoring ads, their click-through rates soared. — Shoshana Zuboff, The Age of Surveillance Capitalism, 260
Categorization
- SHARE: Someone studying ad-tech or platform governance would appreciate the black-box quality score detail as concrete evidence.
- XREF: connects to: Google’s early ad-matching patents replaced guesswork with predictive behavioral data — Shoshana Zuboff, The Age of Surveillance Capitalism, 245; Google’s quality-score system tied ad placement to measured clicks — Tim Wu, The Attention Merchants, 890; Google’s ad-ranking innovation operationalized behavioral surplus as its core asset — Shoshana Zuboff, The Age of Surveillance Capitalism, 239 (+3 more)
Broader Connections
- Google’s quality-score system tied ad placement to measured clicks
#exemplifies(0.80) — Tim Wu, The Attention Merchants, 890 - Google’s ad-ranking innovation operationalized behavioral surplus as its core asset
#expands(0.78) — Shoshana Zuboff, The Age of Surveillance Capitalism, 239 - Markets in future behavior emerged from Google’s predictive analysis of data exhaust
#expands(0.75) — Shoshana Zuboff, The Age of Surveillance Capitalism, 1066 - Behavioral data shifted from improving service to reading users’ minds for ad targeting.
#corroborates(0.70) — Shoshana Zuboff, The Age of Surveillance Capitalism, 244 - Advertising shifted from selling product qualities to selling user identity
#qualifies(0.70) — Tim Wu, The Attention Merchants, 550