Andre Magrini Research Brief
A proprietary commercial theory explaining why complex technical products fail to convert online when buyers lack confidence in receiving, assembling, and operating the product.
Repressed demand appears when intent is high but purchase confidence is low.
Technical delivery is a trust mechanism, not only a logistics service.
Interactive manuals, video guidance, live support, and AI assistance can unlock latent conversion.
The confidence gap creates revenue leakage, returns, warranty cost, and channel migration to physical retail.
This paper strengthens the AI Revenue Architecture thesis by showing that demand creation is incomplete unless the buyer can trust execution. For AI companies, the same principle applies: buyers do not adopt complex AI systems until they believe implementation, governance, and daily use will be controllable.
Positions Andre Magrini around a named commercial law: a clear, ownable concept connecting buyer psychology, technical enablement, e-commerce conversion, and revenue operations.
This page is a web research brief based on Andre Magrini’s paper. The source record is available on SSRN:
https://ssrn.com/abstract=4958024
Citation: Andre Magrini, The Magrini Law: Repressed Demand in Technical Sales. Available at SSRN.
Back to AI Revenue Architecture Research