Costs rising faster than price
Input and operating costs keep climbing while pricing power thins. You close that gap with mix, pack architecture, and smarter promotion, not with blanket increases.
Revenue Growth Management · Consumer Packaged Goods
Input costs are up, shoppers are trading down, and yesterday's pricing and promotion playbooks are quietly leaking margin. Let's rebuild your RGM processes from the ground up, pricing, price pack architecture, mix, and trade promotion, all with AI at the core rather than bolted onto spreadsheets from the side.
Built for the realities facing modern consumer goods leaders
The macro picture
Sustained input-cost inflation, volatile commodities, and shopper behaviour have compressed CPG margins from both ends. List-price increases are losing their headroom, private label is winning market share, and retailers are demanding more for less. The growth that used to come from "let's just push through a price increase" now has to be strategically engineered. You win it surgically, by pack, by channel, and by occasion.
Here's the hard truth. Most RGM functions were built for a low-inflation, spreadsheet-driven world, and 43% of CPGs still run pack-price architecture in Excel or Sheets. They react slowly and treat pricing, promotion, and mix as separate workstreams. In today's market, that costs you points of margin every cycle. RGM mentions in top-100 CPG earnings calls have doubled, and two-thirds of profitable growers have already invested in RGM systems.
Input and operating costs keep climbing while pricing power thins. You close that gap with mix, pack architecture, and smarter promotion, not with blanket increases.
Roughly a fifth of revenue flows through trade promotion, and a large share of those events return less than they cost. It's the single biggest pool of recoverable margin in the P&L.
Pricing, promo, mix and assortment decisions are made in disconnected tools on quarterly cycles. The market moves weekly. The operating model has to change.
The five levers
We pressure-test all five, then rebuild the one with the most trapped value first. For most CPGs, that's trade promotion.
Trade spend is often the second-largest line on the P&L and the least governed. Australia is one of the most heavily promoted grocery markets in the world, yet an estimated A$11.3bn in promotional discounting each year generates little to no incremental sales. We bring AI-driven promo optimisation, post-event ROI measurement, and guardrails that kill value-destroying events and scale the winners. In practice that lifts trade ROI by 10 to 15% and turns trade from a cost centre into a growth lever.
AI-modelled price elasticity by SKU, channel, and occasion, so increases land where demand can bear them and hold where it can't.
Engineer the right sizes at the right price points across channels to defend value perception and unlock entry and premium tiers.
Shift volume toward higher-margin SKUs, packs, and channels with decision science that sees the whole portfolio at once.
Right-range the shelf: cut the tail, protect hero SKUs, and win the categories that drive trips and baskets.
Our thesis
Most "AI for RGM" today is a model bolted onto a process designed for a spreadsheet era. It speeds up a broken workflow. The real prize comes from redesigning the workstream around what AI makes possible: continuous, granular, connected decisions.
We rebuild RGM as an always-on decision engine. Elasticity, promotion, mix, and pack decisions are made together, weekly, at SKU-store granularity. Humans set the strategy and the guardrails while the system does the heavy analytical lifting. McKinsey puts the global generative-AI prize for CPG at US$160 to 270B in annual profit, and the operators capturing it are redesigning the workstream rather than bolting AI onto the old one.
How we engage
Rapid, data-driven RGM diagnostic across all levers. Quantify the trapped margin and rank it by speed-to-value.
Build you a business case and pick the workstreams to rebuild, start with trade promotion, with a clear ROI target.
Redesign your workstreams: models, data, governance, and the operating rhythm that makes it stick.
Prove value, then roll the engine across levers (and Customers/ markets), with handover to your teams to own.
Who we are
GrowthEngine is a specialist Revenue Growth Management consultancy. Combining deep +16 years commercial expertise with modern AI and RGM.
We work shoulder-to-shoulder with commercial, finance, and revenue teams to turn the theory of "AI-driven RGM" into governed, measurable margin in the P&L. You won't get a 200-slide deck that gathers dust. You get working systems and a clear scoreboard.
Sam Ford, Founder
Book a 45-minute strategy call. We'll walk your RGM picture, pinpoint the biggest recoverable margin pool, and show you what an AI-native rebuild looks like for your business.