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Live Event Attribution: Real-Time Multi-Touch Modeling for High-Velocity Commerce

Authors: Robinson, Michael Forsythe;

Live Event Attribution: Real-Time Multi-Touch Modeling for High-Velocity Commerce

Abstract

Live commerce, flash sales, and ticketing create attribution challenges that invalidate standard 30-day window models. This paper presents a real-time multi-touch attribution framework optimized for high-velocity commerce, featuring sub-second event ingestion, time-decay weighting with velocity adjustments, and urgency-aware conversion modeling. The framework handles microsecond purchase decisions while maintaining causal integrity and Shapley-fair channel credit allocation. Extends Robinson (2026a) to live event contexts.

Keywords

real-time attribution, high-velocity commerce, time-decay weighting, Shapley values, conversion modeling, live event attribution, multi-touch modeling

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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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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