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Artificial Enhanced Experience Advertising (AEEA): Turning Narrative-Driven, Localized Ads Into Real-World Transactions

Authors: Jellen, Scott;

Artificial Enhanced Experience Advertising (AEEA): Turning Narrative-Driven, Localized Ads Into Real-World Transactions

Abstract

Artificial Enhanced Experience Advertising (AEEA) proposes a structural reframing of advertising as an experience-to-transaction infrastructure layer rather than a creative or impression-based optimization problem. The framework models ads as modular, narrative-driven experience assemblies that dynamically adapt to local inventory, context, and fulfillment constraints. By separating narrative illusion from backend determinism, AEEA enables advertising experiences to function as lightweight commerce interfaces that bridge storytelling, localization, and transactional execution. The paper outlines the architectural components of AEEA and situates the framework within broader shifts in platform economics, commerce infrastructure, and post-impression monetization strategies.

Keywords

narrative systems, localized inventory, platform strategy, transaction design, commerce infrastructure, incentive alignment, shoppable media, attribution systems, experience-based advertising

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green