Advertising

Analysis of the GSP auction used by Google and the gap from VCG efficiency.

Equilibrium analysis of position auctions with symmetric Nash equilibrium characterization.

Comprehensive survey of auction theory and mechanism design for practitioners.

Nobel Prize-winning paper establishing truthful bidding in second-price sealed-bid auctions—the theoretical bedrock for all VCG mechanisms and modern ad auctions. ~8,000 citations.

Derives revenue-maximizing auctions and optimal reserve prices via 'virtual value' concept. Essential for understanding how platforms set reserve prices. ~6,400 citations.

Optimal budget pacing strategies for advertisers in repeated auctions.

Value-maximizing autobidding under budget and ROI constraints.

Mechanism design for autobidders and the transition to first-price auctions.

Introduces adaptive pacing strategies with asymptotic optimality proofs; shows these form approximate Nash equilibrium. The reference paper for budget pacing algorithms at Google/Meta.

Formalizes pacing equilibrium as game-theoretic solution concept for autobidding; proves existence when platforms use multiplicative bid scaling.

Theoretical justification for industry's transition to first-price auctions (Google 2019); proves unique equilibrium and efficient computation via Eisenberg-Gale program.

Google's framework for measuring incremental ad impact using geographic experiments.

Novel methodology for measuring ad lift without holdout using predicted ad exposure.

Google's approach to marketing mix modeling with Bayesian methods.

Landmark eBay experiment showing paid search ROI vastly overestimated—99.5% of brand keyword traffic substitutes to organic. Demonstrates critical importance of experiments over observational methods. ~800 citations.

Analyzes 25 large RCTs ($2.8M spend) showing massive sample sizes needed for reliable ad measurement due to individual sales volatility (CV of 10). Explains why selection bias is 'crippling.' ~700 citations.

Compares RCTs to observational methods using 15 Facebook experiments (1.6B impressions). Demonstrates observational methods consistently fail even with rich behavioral data. ~500 citations.

Border-strategy identification across 288 brands finds TV ad elasticity of ~0.025—much lower than prior estimates; 80%+ of brands show negative marginal ROI.

Criteo's uplift modeling benchmark and methods for targeting persuadables.

Compares effectiveness of behavioral vs. segment-based ad targeting.

Large-scale RCT showing retargeting increases website returns by 14.6%, with effectiveness decaying over time (33% of impact on day 1) and advertising complementarities across weeks.

Unified framework combining ML-based targeting with auction models; shows efficient targeting improves CTR by 66.8% over current practice, with implications for privacy regulation.

Field experiments showing adding recipient names increases open rates by 20%, sales leads by 31%—even though names are non-informative. Gary Lilien Prize Finalist.

IPA research on optimal balance between brand building and activation.

Trade-offs between ad targeting precision and user annoyance.

How digital advertising affects consumer search behavior and market outcomes.

Definitive meta-analysis of 751 short-term and 402 long-term advertising elasticities from 56 studies (1960-2008). Average short-term elasticity: 0.12; long-term: 0.24. ~440 citations.

Classic BehaviorScan meta-analysis showing only ~50% of TV ad weight tests had positive sales effects; established that copy/strategy changes matter more than budget increases. Foundational paper.

Foundational empirical paper showing EU privacy regulation (ePrivacy Directive) reduced display ad effectiveness by 65% in changing purchase intent. ~2,500 citations.

Shows GDPR's opt-in led to 12.5% drop in tracked consumers, but remaining consumers are more valuable—demonstrating 'privacy externalities' where privacy-conscious consumers make opt-in consumers more predictable.

Panel data on 27,000+ websites shows GDPR reduced vendor use by 15% but increased market concentration by 17%—large platforms (Google, Facebook) gained share as small vendors dropped.

Quantifies ATT's economic effects: 37% reduction in CTR for Meta's conversion-optimized ads; firms with higher Meta dependence experienced 37% revenue decline. Smaller e-commerce firms disproportionately harmed.

Studies 128M ad impressions over 2.5 years; average cookie lifetime is 279 days with €2.52 value. One-year cookie restrictions would cost €904M annually in Europe. IJRM Best Article Award 2024.

Comprehensive literature review organizing display advertising research by ecosystem agents (advertisers, publishers, intermediaries). Essential reading for understanding the programmatic landscape. ~200 citations.

Introduces Fluid Mean Field Equilibrium (FMFE) framework for budget-constrained advertisers; provides prescriptions for reserve prices and impression allocation. ~500 citations.

Game-theoretic model showing symmetric advertisers use asymmetric strategies; publishers should maintain reservation contracts alongside RTB for revenue optimization.

Explains industry shift from second-price to first-price auctions as direct economic consequence of header bidding adoption, not trust issues. Analyzes waterfalling vs. header bidding mechanisms.

Foundational two-sided market model for advertising-financed media; analyzes when equilibrium advertising levels are socially optimal. The theoretical foundation for attention economics. ~680 citations.

First study distinguishing TV ad viewability from actual viewing using passive measurement; finds 30% of TV ads play to empty rooms. Demonstrates attention metrics predict brand search lift better than tuning data.

Examines 'Social TV'—joint consumption of TV and social media production. TV advertising impacts online WOM volume for both brands and programs. ~200 citations.

Field experiments on how native advertising disclosure affects consumer behavior; provides causal evidence on tension between ad effectiveness and consumer deception in native formats.