Publication Type
Journal Article
Version
acceptedVersion
Publication Date
4-2016
Abstract
In live broadcasting, the break lengths available for commercials are not always fixed and known in advance (e.g., strategic and injury time-outs are of variable duration in live sports transmissions). Broadcasters actively manage their advertising revenue by jointly optimizing sales and scheduling policies. We characterize the optimal dynamic schedule in a simplified setting that incorporates stochastic break durations and advertisement lengths of 15 and 30 seconds. The optimal policy is a "greedy" look-ahead rule that accounts for the remaining number of breaks; in this setting, there is no value to perfect information at the scheduling stage, and hence knowing the duration of all breaks would not change the schedule. We present heuristics to help solve scheduling problems of even greater complexity. The performance of these heuristics under various scenarios is tested by running simulations calibrated using industry data. The simple greedy heuristic is shown to perform well except when revenues are concave in ad length, in which case the look-ahead aspect of the optimal schedule becomes more important. Finally, we recommend ways for broadcasters to balance their portfolio of booked ads by determining the optimal overbooking level and mix of ads as a function of their associated revenues generated and penalties incurred.
Keywords
live broadcasting, advertising, scheduling, random capacity
Discipline
Advertising and Promotion Management | Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Management Science
Volume
62
Issue
4
First Page
1145
Last Page
1164
ISSN
0025-1909
Identifier
10.1287/mnsc.2015.2185
Publisher
INFORMS
Embargo Period
6-6-2017
Citation
POPESCU, Dana G. and CRAMA, Pascale.
Ad revenue optimization in live broadcasting. (2016). Management Science. 62, (4), 1145-1164.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5150
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1287/mnsc.2015.2185
Included in
Advertising and Promotion Management Commons, Operations and Supply Chain Management Commons