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TrewUp — CPG trade-spend and deduction outcome data generated as workflow byproduct: promotion calendars with deal terms and measured incremental lift per retailer/item, retailer deduction and chargeback records at line-item level with reason codes and dispute outcomes, invoice-to-cash reconciliation (payment terms, early-payment discount usage), and normalized sell-through velocity (units per store per week, shelf presence) joined to the promotion that drove it. The syndicated scan data it displays is licensed in from Circana, NielsenIQ and SPINS and is not the vendor's to resell — the licen…
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CPG trade-spend and deduction outcome data generated as workflow byproduct: promotion calendars with deal terms and measured incremental lift per retailer/item, retailer deduction and chargeback records at line-item level with reason codes and dispute outcomes, invoice-to-cash reconciliation (payment terms, early-payment discount usage), and normalized sell-through velocity (units per store per week, shelf presence) joined to the promotion that drove it. The syndicated scan data it displays is licensed in from Circana, NielsenIQ and SPINS and is not the vendor's to resell — the licensable asset is the promotion-to-outcome join and the deduction reason-code history, which no scan-data panel carries.
Scale Not disclosed on the pageFrom 4 yearsCoverage Consumer Staples
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TrewUp — CPG trade-spend and deduction outcome data generated as workflow byproduct: promotion calendars with deal terms and measured incremental lift per retailer/item, retailer deduction and chargeback records at line-item level with reason codes and dispute outcomes, invoice-to-cash reconciliation (payment terms, early-payment discount usage), and normalized sell-through velocity (units per store per week, shelf presence) joined to the promotion that drove it. The syndicated scan data it displays is licensed in from Circana, NielsenIQ and SPINS and is not the vendor's to resell — the licen…
TrewUp offers (Alternative, Supply Chain, Fundamental) — Not disclosed on the page — request further research on row counts; structurally this is SKU x retailer x week promotion and deduction history across the customer base, so volume is driven by tenure of the book rather than user count.
Trade-promotion effectiveness benchmarking across CPG categories; retail power and margin-pressure modeling from deduction frequency and reason-code mix; promotional elasticity and discount-depth modeling; working-capital and days-sales-outstanding modeling from payment terms and cash-application behavior; alternative revenue-visibility signal on listed consumer-staples makers ahead of reported results; ML training for deduction auto-classification and promotion planning agents
The data is with 4 years of history.
Coverage spans US; Packaged Foods & Meats, Personal Care Products; alternative, supply_chain, fundamental; equities.
The supplier's own access route is a conversation with the supplier. Request a sample through Brickroad to start.
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