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Datasembly (Compass platform) — Non-sampled, weekly-collected retail market data for fast-moving consumer goods — observed shelf prices, promotion mechanics and assortment/distribution coverage measured across every product, retailer and store rather than a sampled panel — delivered through the Compass platform as a Market Overview trend-detection layer, pre-built pricing/promotion/assortment analytics modules, user-configurable category hierarchies and product groups, and a shareable report builder.. Established mid-size independent data vendor: ~56 employees, ~$9M revenue, ~$34.8M raised to…
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Non-sampled, weekly-collected retail market data for fast-moving consumer goods — observed shelf prices, promotion mechanics and assortment/distribution coverage measured across every product, retailer and store rather than a sampled panel — delivered through the Compass platform as a Market Overview trend-detection layer, pre-built pricing/promotion/assortment analytics modules, user-configurable category hierarchies and product groups, and a shareable report builder.
From 5 yearsCoverage IndustrialsAsset class Equities
Sample, licence terms, pricing and eval results when Datasembly publishes them. Until then, discover alternatives today with a 7-day trial.
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Datasembly (Compass platform) — Non-sampled, weekly-collected retail market data for fast-moving consumer goods — observed shelf prices, promotion mechanics and assortment/distribution coverage measured across every product, retailer and store rather than a sampled panel — delivered through the Compass platform as a Market Overview trend-detection layer, pre-built pricing/promotion/assortment analytics modules, user-configurable category hierarchies and product groups, and a shareable report builder.. Established mid-size independent data vendor: ~56 employees, ~$9M revenue, ~$34.8M raised to…
Datasembly offers (Alternative, Price, Supply Chain) — est. order of 10^6-10^7 price/promotion/assortment observations per week (non-sampled collection is asserted to span every product, retailer and store rather than a panel subset).
Promotional effectiveness and price-investment optimization for CPG manufacturers; retail-vs-retail price-gap and competitive positioning monitoring; early detection of category resets and emerging volatile categories before syndicated panels report them; assortment and distribution-coverage tracking for new product launches; meat and protein category pricing/promotion analysis where packer-to-retail cost pass-through timing matters; audit of trade-spend execution against planned promotions
The data is with 5 years of history.
Coverage spans US; Research & Consulting Services; alternative, price, supply_chain; equities.
Datasembly has not added their own details yet. Not yet on file: