MBA Training Data

Luxury waitlist allocation: building a defensible scarcity model

MBA Training Data

Show Notes

Who decides that a Hermes Birkin buyer waits six years? The position here is blunt: scarcity is an asset a data team manages, and every "nothing available" is an allocation decision someone modeled. The episode separates manufactured scarcity from the allocation logic that ranks clients by lifetime spend, purchase breadth and loyalty, and looks at the US class action arguing that tying Birkin access to other purchases is illegal bundling.

You come away with a three-layer design, scarcity forecast, eligibility stripped of protected proxies, and allocation ranking, plus why transformation tools like dbt give you lineage as a legal shield. Also covered: the Patek Philippe Nautilus 5711 discontinuation and reading waitlists as intent data for product planning.

0:00 Why a Birkin waitlist is a data decision 1:13 Client scoring and the Hermes bundling lawsuit 2:04 Three-layer allocation architecture and dbt lineage 3:06 Patek Nautilus 5711 and waitlists as demand sensors 4:05 Keeping the algorithm out of the boutique

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