Digital Advertising Traffic Operation: Flow Management Analysis
Massimiliano Dal Mas

TL;DR
This paper presents a MILP model for managing web advertising campaign workflows, analyzing flow bottlenecks, and proposing new punctuality indicators to improve traffic operation efficiency.
Contribution
It introduces a novel MILP formulation for campaign flow management, analyzes the relationship between punctuality indicators, and proposes more sustainable metrics for traffic operations.
Findings
Classic punctuality indicators conflict with reducing waiting times.
Flow of campaigns is the main bottleneck in traffic operations.
Alternate paths do not improve performance indicators.
Abstract
In a Web Advertising Traffic Operation the Trafficking Routing Problem (TRP) consists in scheduling the management of Web Advertising (Adv) campaign between Trafficking campaigns in the most efficient way to oversee and manage relationship with partners and internal teams, managing expectations through integration and post-launch in order to ensure success for every stakeholders involved. For our own interest we did that independent research projects also through specific innovative tasks validate towards average working time declared on "specification required" by the main worldwide industry leading Advertising Agency. We present a Mixed Integer Linear Programming (MILP) formulation for end-to-end management of campaign workflow along a predetermined path and generalize it to include alternative path to oversee and manage detail-oriented relationship with partners and internal teams to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScheduling and Optimization Algorithms · Resource-Constrained Project Scheduling · Business Process Modeling and Analysis
