Screening with Advertisements
Kolagani Paramahamsa
TL;DR
This paper analyzes a two-dimensional screening problem where a seller monetizes a desirable good together with an advertising burden, receiving third-party revenue $k$ for ad exposure. Using the Daskalakis–Deckelbaum–Tzamos duality, the authors reformulate revenue as $\int u\,d\mu$ with a transformed measure $\mu$ that depends on $k$, and derive near-characterizations and tractability-friendly sufficiency tests for three practical pricing menus: Good-Only, Ad-Tiered, and Single-Bundle. A key contribution is the $k$-driven comparative static: low $k$ excludes the bad, intermediate $k$ supports a two-tier Ad-Tiered menu separating ad-tolerant and ad-averse buyers, and high $k$ bundles ads for all types, with a clean partition under uniform bad density. The framework yields interpretable geometric conditions (orthant tests) that simplify verifying optimality in two dimensions and informs pricing strategies for ad-supported digital services, while outlining natural extensions to richer, multi-dimensional settings.
Abstract
We investigate a seller's revenue-maximizing mechanism in a setting where a desirable good is sold together with an undesirable bad (e.g., advertisements) that generates third-party revenue. The buyer's private information is two-dimensional: valuation for the good and willingness to pay to avoid the bad. Following the duality framework of Daskalakis, Deckelbaum, and Tzamos (2017), whose results extend to our setting, we formulate the seller's problem using a transformed measure $μ$ that depends on the third-party payment $k$. We provide a near-characterization for optimality of three pricing mechanisms commonly used in practice -- the Good-Only, Ad-Tiered, and Single-Bundle Posted Price -- and introduce a new class of tractable, interpretable two-dimensional orthant conditions on $μ$ for sufficiency. Economically, $k$ yields a clean comparative static: low $k$ excludes the bad, intermediate $k$ separates ad-tolerant and ad-averse buyers, and high $k$ bundles ads for all types.
