What Is CPG Promo Analysis?

CPG promo analysis (also called trade promotion analysis) is the process of measuring what a retail promotion actually earned: isolating the promoted weeks in syndicated point-of-sale data, separating baseline sales from incremental sales, netting out volume that would have sold anyway, and comparing the incremental margin to the trade dollars spent. Its output is a per-event, per-retailer read of lift and return that decides which promotions to run again.

Picture the line review where this goes wrong. A brand shows a 140% lift on last quarter's feature-and-display event. The buyer asks two questions: what did the category do in those weeks, and what did the event cost you? The room goes quiet. The lift was real. Nobody computed the return, and nobody checked whether the volume came from the category or from the brand's own shelf next door. That silence is the problem this guide exists to close.

The four layers

Promo analysis is four questions asked in order, each one narrower than the last.

The event layer asks which store-weeks were promoted, under what tactic, and at what price. The lift layer asks how much more sold than the provider's model expected. The return layer asks what that extra volume earned after the trade cost and the cost of goods are subtracted. The source layer asks where the volume came from: new demand, a competitor's shelf, a shopper's pantry, or your own sibling item.

Most recap decks stop at lift. The rest of this guide is about the other three layers, because that is where money is won or lost and where the buyer's questions live.

What promo analysis is not

It is not trade promotion management. TPM systems plan events, hold the budget, settle deductions, and reconcile claims; POI's description of TPM capability runs from planning and forecasting through deduction resolution and settlement [3]. Those systems record what was paid. Promo analysis measures what was earned. A brand can run flawless TPM and still not know whether any of its events paid back.

It is also not consumer promotion measurement. Syndicated promo data tracks retailer activity only. SPINS states plainly that promotions in CPG data cover activity at retailers and exclude media and other advertising [6]. The three tactics the providers code (a shelf price reduction, a retailer feature, a secondary display) are the ones the retailer controls and executes in-store [7]. Coupons the manufacturer drops, bonus packs, retail media, and loyalty offers are outside the frame. Chapter 2 covers exactly what the data sees and what it misses.

Why it matters on the P&L

Three facts, each dated and attributed, make the case.

First, the spend is large. Per POI's 2026 State of the Industry findings, trade promotion often represents the second-largest P&L expense after cost of goods sold, and nearly 68% of surveyed manufacturers allocate more than 15% of annual revenue to it, with many between 16% and 23% and a significant segment above 27% [1]. POI's 2023 survey of more than 130 manufacturers put the historical range at 11% to 27% of revenue [2]. The CPG Data Tip Sheet, writing for practitioners rather than surveying them, uses 10% to 20% of gross sales [7]. These are self-reports and rules of thumb, not audited figures, but they agree on the order of magnitude.

Second, the results are poor on average. Nielsen's 2015 Trade Promotion Landscape Analysis, which covered 331 categories, 5 million UPCs, and 76 million event weeks across the US, Canada, and 5 European markets, found that 59% of promotion events did not break even. In the US alone, 71% did not [4]. That study is eleven years old and remains the last large public benchmark we could open. Nothing published since with a public URL has matched its sample, so this guide dates it every time and never rounds it into "most."

Third, the argument about who benefits has never been settled. The authors of the largest published pass-through study open by noting that manufacturers accuse retailers of pocketing trade dollars while retailers claim most of the money reaches the shopper, and that the debate has run for decades because the empirical research was thin [5]. Promo analysis is how a brand gets its own answer for its own accounts instead of inheriting the industry's argument.

The four questions a buyer will ask

A category manager at the retailer reads the same syndicated feed you do, and the questions are predictable.

Buyer's question	Layer it tests	What a good answer contains
"What did the category do those weeks?"	Source	Category and competitor movement in the same store-weeks alongside your brand's
"How much of that would have sold anyway?"	Lift	Base, incremental, and subsidized volume, by event
"What did you spend to get it?"	Return	Trade cost and incremental cost of goods against incremental margin
"What are you proposing next, and why?"	All four	The next event with the same math attached, at this retailer's level

Every chapter in this guide maps to one of those rows. Chapter 8 puts them together as a recap.

Who does this work

At an emerging brand, the founder or the one sales lead does it, usually the week before a review, usually in a spreadsheet, usually on a channel total because that is what the export gave them. At a scaled brand, a revenue growth management team owns it with a TPM system alongside; POI reports that 79% of its surveyed respondents use a TPM or TPMx system to manage trade [3]. The math is identical at both sizes. What differs is whether anyone has time to run it at the level where it means something, which is retailer by retailer and event by event.

That time problem has a rhythm. New SPINS, Circana, or Nielsen data lands every 1 to 4 weeks, and the promo recap built on the prior file has to be rebuilt on the new one: same events, same lift table, same merch-reach read, new numbers. At most brands that is a day gone every period. Chapter 10 covers what changes when the recap is a living workbook that re-runs itself instead of a deck someone reconstructs; the rest of this guide covers what has to be right before that is worth automating.

Where a term is new, the Syndicated Data guide's chapter on base, incremental, and promotion measures defines the measures themselves. This guide uses them to do the work.

Common questions

What is promo analysis in CPG? The measurement of what a retail promotion earned rather than what it sold: isolate the promoted weeks, separate baseline from incremental, net out volume that would have sold anyway, and compare incremental margin to trade cost, per event and per retailer.

Is promo analysis the same as trade promotion analysis? Yes. "Trade promotion" is the industry's formal phrase for the money a manufacturer pays a retailer to run an event; "promo" is what people say in the meeting. The analysis is the same.

How is promo analysis different from TPM? TPM tracks and pays: planning, budgets, deductions, settlements. Promo analysis measures whether the events tracked and paid for earned anything.

What data do you need? Weekly syndicated POS data from SPINS, Circana, or Nielsen at the retailer level, with merchandising conditions and base and incremental measures, plus the brand's own record of what each event cost. Without the cost side you can compute lift but not return.

How much do CPG companies spend on trade? Per POI's 2026 survey, nearly 68% of manufacturers spend more than 15% of revenue; POI's 2023 survey put the historical range at 11% to 27%. Both are member self-reports.

What share of promotions lose money? In Nielsen's 2015 analysis of 76 million event weeks, 59% of events globally and 71% in the US did not break even. No newer public benchmark of that size exists.