Optimal bidding strategies for digital advertising
M\'ed\'eric Motte (LPSM), Huy\^en Pham (LPSM)

TL;DR
This paper develops a continuous-time framework to determine optimal bidding strategies in digital advertising, considering user behavior, auction mechanisms, and the integration of targeted and non-targeted advertising.
Contribution
It introduces a novel mathematical model for optimal bidding in digital advertising, providing semi-explicit formulas and analyzing the impact of social interactions and information sources.
Findings
Semi-explicit formulas for optimal bids and values.
Sensitivity analysis of model parameters.
Explicit solutions for specific cases.
Abstract
With the emergence of new online channels and information technology, digital advertising tends to substitute more and more to traditional advertising by offering the opportunity to companies to target the consumers/users that are really interested by their products or services. We introduce a novel framework for the study of optimal bidding strategies associated to different types of advertising, namely, commercial advertising for triggering purchases or subscriptions, and social marketing for alerting population about unhealthy behaviours (anti-drug, vaccination, road-safety campaigns). Our continuoustime models are based on a common framework encoding users online behaviours via their web-browsing at random times, and the targeted advertising auction mechanism widely used on Internet, the objective being to efficiently diffuse advertising information by means of digital channels. Our…
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Taxonomy
TopicsConsumer Market Behavior and Pricing · Auction Theory and Applications · Supply Chain and Inventory Management
