20%

of CPG revenue spent on trade promotions annually

72%

of US trade promotions fail to break even on incremental volume

$500B–$1T

spent globally on trade promotions each year  

Trade promotion is, by spend size, the second-largest line item in most CPG P&Ls, sitting just behind cost of goods. Yet the industry’s collective ROI on that spend has barely improved in the decade. The uncomfortable reality is not that companies are spending too little time on promotions. It’s that the foundational architecture of how promotions are planned, executed, and evaluated is structurally misaligned with how modern retail actually works.

The structural flaws no one wants to name

Traditional Trade Promotion Management (TPM) was designed for a world of stable shelf sets, predictable seasonal sell-in windows, and retailer relationships that operated on annual joint business plans. That world is gone. What replaced it is an omnichannel, algorithmically-merchandised, real-time-priced retail environment where a competitor’s flash promotion on a Tuesday afternoon can erode your entire quarter’s volume plan before your regional sales team even knows it happened.

The first structural failure is temporal lag. Conventional planning cycles, annual or semi-annual, produce promotion calendars that are already stale by the time field teams execute them. Consumer demand signals now shift faster than planning cycles can accommodate.

The second failure is data fragmentation. Most CPG organizations operate with syndicated data informing planning teams, distributor sell-in data sitting with finance, and actual field execution data trapped in disconnected DMS or manual spreadsheets. There is no single version of truth. Promotional effectiveness is measured on what shipped to the retailer, not what was actually bought through — a distinction that can represent millions in phantom ROI.

The false comfort of post-event analysis

Post-event analysis (PEA) has become the industry’s answer to accountability, but it’s accountability delivered 8 to 12 weeks after the promotion closed. By then, the budget will have already been committed for the next cycle. Structural decisions, which accounts to prioritize, which mechanics to deploy, and what baseline to fund against, are made on gut instinct and precedent, not on real signal. PEA tells you what went wrong. It does almost nothing to prevent the same mistake from being made next quarter.

Compounding this is the well-documented problem of trade fund leakage. Industry estimates consistently show that between 15% and 30% of trade funds either go to non-incremental volume, are claimed for executions that never happened, or are absorbed into retailer margin without passing through to the shopper. Without granular, SKU-level, store-level tracking of promotional compliance and sell-through, this leakage is invisible to planning teams and it compounds annually.

Why modern retail demands a different operating model

Retail today is not one channel; it is an ecosystem of channels, each with its own velocity pattern, promotional mechanics, and data infrastructure. Planning tools built around a single retail model simply cannot accommodate this complexity without significant manual workarounds that cost time, introduce error, and ultimately degrade plan quality. Meanwhile, retailer sophistication has grown dramatically, and the leverage in trade review negotiations now belongs to whoever shows up with better data:

What real transformation looks like

Bridging this gap requires moving from promotion administration to promotion intelligence. This means connecting planning, execution, and settlement in a single data environment, so that what was planned, what was executed in-store, and what was claimed against are all visible in the same system. It requires predictive modeling at the promotion level: understanding likely ROI, cannibalization effects, and halo impact before the budget is committed, not after. And it requires field execution data that is granular enough to distinguish between a promotion that failed due to poor mechanics versus one that failed due to non-execution at outlet level.

This is not a reporting upgrade. It is an operating model change, one that most CPG organizations are only beginning to make, and one that represents a genuine source of competitive differentiation for those who move first.

Ivy Mobility TPM: Built for where retail is going

Ivy Mobility’s Trade Promotion Management solution is designed precisely for this transformation. Unlike legacy systems retrofitted with dashboards, it delivers an integrated platform that connects promotion planning, in-field execution visibility, and financial settlement, giving commercial teams and finance a shared, real-time view of trade investment performance across channels.

The platform enables scenario-based promotion planning with predictive ROI modeling, helping teams move investment decisions upstream, before funds are committed, not after they’ve been spent. Real-time field execution data, captured at the outlet level, eliminates the blind spots where trade spend leakage typically occurs. And automated deduction management reduces the manual reconciliation burden that quietly consumes weeks of finance team capacity each cycle.

For CPG organizations operating across both modern and general trade, in markets where channel complexity is highest and data infrastructure is most fragmented — Ivy Mobility’s architecture is purpose-built to deliver the visibility and control that traditional TPM systems cannot.

See how leading CPG companies are closing the loop between trade investment and measurable business outcomes.