The 4% Problem in CPG: Why Growth Now Depends on Turning Decisions into Action at Scale
The CPG growth equation has a problem.
For decades, 4% annual growth was reliable. The math was simple: population growth contributed roughly 1%, real consumption added another 1–2% and pricing supplied the rest. Three levers, consistent output. That equation is now broken.
The pressure was evident at CAGNY 2026. Pricing has plateaued and, in some categories, reversed. Volume is volatile as consumers trade down and private labels gain structural share.
Mix is now carrying the load that pricing and volume once shared. But mix is no longer just a portfolio outcome. It reflects a far more complex reality: a shopper who alternates between saving and premiumizing depending on the occasion, moves across channels, and responds differently to price, pack and context. Managing mix today is not about optimizing SKUs. It is about understanding and orchestrating that complexity.
Getting to 4% now demands significantly more from a commercial organization than it did five years ago.
Why 4% Is Widely Misunderstood
For a CPG enterprise, 4% is a threshold. Below it, relevance erodes. At it, the business keeps pace. Above it, something deliberate exists: a system that converts commercial decisions into financial outcomes.
Companies that treat 4% as an aspiration are already behind. Those consistently above it are doing something structurally different, and the gap is widening.
How Pricing Masked the Gap
During the inflationary period, pricing delivered growth without requiring operational excellence. Fragmented decisions, slow approvals, limited reach into the long tail, and weak linkage between insight and execution were all tolerable because the top line kept moving.
Pricing has now normalized. The structural gaps it masked are exposed. Growth must now be earned through commercial capability, not cost recovery. That requires a different system.
The Companies Winning Are Structurally Ahead
Outperformers are not winning because they have better tools. They are winning because they make better decisions and execute them consistently.
They compete in structurally growing segments rather than defend declining ones. They improve mix instead of chasing volume. They execute with precision across channels, using data to change decisions in real time, not just explain outcomes.
That advantage comes from four deliberate capabilities:
- Focus the portfolio: Decide where to compete based on a deep understanding of today’s complex shopper — omnichannel, price-sensitive yet willing to premiumize by occasion — and align investment to where that behavior creates disproportionate value.
- Innovate and premiumize: Shift mix toward higher-value segments to expand revenue per unit.
- Execute Revenue Growth Management (RGM) with precision: Capture pricing and promotion opportunities without destroying volume.
- Strengthen route-to-market: Convert distribution and in-market execution into consistent volume realization.
Each maps directly to the growth equation:
- Volume through distribution and execution
- Mix through innovation and premiumization
- Price through disciplined RGM
Growth no longer comes from a single lever. It comes from orchestrating all three, consistently.
Traditional RGM Is Necessary — But No Longer Sufficient
Most companies have invested heavily in RGM. The tools exist, and the teams are in place. However, the traditional RGM model is no longer sufficient in its current form. It was designed for more stable environments and linear decision-making, not for orchestrating dynamic, interdependent decisions at scale.
Also: How Georgia-Pacific invests in RGM optimization to sustain growth
The problem is not capability. It is conversion — the ability to consistently translate insight into financial outcomes.
The gap is not analytical. It is organizational. In most companies, RGM insights do not fail because they are wrong; they fail because they do not travel across teams, across channels and into execution.
These breakdowns show up consistently in four areas. Decisions move too slowly from insight to action. Pricing, promotion, assortment and execution are not coordinated, leading to conflicting outcomes. Optimization remains concentrated on top SKUs and accounts, leaving the long tail under-managed. And central decisions do not consistently translate into in-market execution. These are not technical gaps. They are operating model gaps, where incentives, ownership and execution rhythms are not aligned with how decisions need to be made.
The Shift: A Connected Decision System
Closing this gap requires connecting what is currently fragmented: signals, strategy, decisions, execution and activation. Decisions must become continuous and connected, rather than sequential and siloed.
This cannot be solved by technology alone. It requires strong fundamentals, including reliable data, clear processes, well-defined governance and alignment on how decisions are made. Without these, AI does not scale, and in many cases, does not even take off.
AI enables this system in three distinct ways. Prescriptive AI identifies the right decisions in real time. Generative AI simulates scenarios and trade-offs before those decisions are made. Agentic AI executes those decisions at scale within defined guardrails.
However, AI does not create value on its own. Value is created only when organizations trust, adopt and operationalize AI-driven decisions consistently and at scale.
The Question Every CPG Leader Needs to Answer
The 4% threshold has not changed. What has changed is what it takes to reach it. Pricing will not close the gap. Analytics alone will not create value. Only a connected, scalable decision system will. The challenge is no longer access to data. It is building organizations that can act on it, consistently and at scale.
The companies that will win are not those that generate the most insights, but those that turn them into action, every day across the entire commercial engine.
We call it turning data into EBITDA, at scale.
Venky Ramesh is the chief client officer, CPG, retail and marketplaces at LatentView Analytics. Marcelle Cruz is senior director, revenue management capability at PepsiCo LATAM.
