First party data – the secret unlock for CPG businesses and their RGM strategy

Every serious CPG runs Revenue Growth Management today. Most of them run it with the same vendors, the same elasticity models, the same trade promotion optimisers, and the same agent-based simulators. The tooling is mature, the methodologies are shared, and the competitive edge from any individual RGM deployment has narrowed to almost nothing. Which raises an obvious question for anyone running an RGM transformation right now: Where does the unique competitive advantage actually come from?

The answer is first-party data at scale, and it is now achievable for every FMCG brand – not just the high-consideration, high-basket-value categories that have always been able to afford a loyalty programme. Unique QR codes on pack have changed the economics so completely that the snack, the soft drink, the household staple and the £1.20 chocolate bar can all build direct, consented, longitudinal relationships with the people who buy them. Pour that data into an otherwise off-the-shelf RGM stack and the stack stops looking like everyone else’s. Whilst the vendor tooling is shared, your shopper data is yours. That is the asymmetry, your source of competitive advantage, and it is available right now to any CPG willing to build it.

This article explains how it’s possible and the impact it can have.

The RGM picture we all see

A category director at a global CPG is reviewing a price-pack decision for next year. The deck is excellent. Elasticity curves from the vendor’s model. Scenario outputs from an agent-based simulator. A tidy table showing forecast revenue under each option. The data foundation is real, the analytics are credible, the decision intelligence has been properly outsourced to a specialist who has tuned this work across a thousand categories.

There is one thing missing from the room. None of the data in front of that director has been generated by an actual buyer of the product.

Every elasticity, every promotion uplift, every assortment recommendation has been triangulated from POS scans, syndicated panels, retailer-shared loyalty extracts, and modelled inference. The models work historically, and are poor at predicting the future, let alone seeing what is happening right now. The shopper –  the human who picked the SKU off the shelf last Tuesday – is present only as a statistical residue.

It’s the picture you are optimising to. And the one your category competitors are seeing too.

Why RGM makes sense

Revenue Growth Management is one of the great success stories of modern CPG. The five-lever framework – pricing, promotions, mix, trade, assortment – was built by smart people working around a real constraint: brands could see what shoppers were doing in aggregate, but not why, and not at the granularity needed to act. An entire operating model emerged around inferring demand from POS, syndicated, and retailer-supplied data, layered with increasingly sophisticated analytics. The discipline added billions to CPG bottom lines. It still does.

The canonical RGM source layer tells the story of how it got there. ERP, POS, syndicated (Circana, NIQ), CRM, TPM, loyalty. ERP is the company’s own commercial truth. POS and syndicated are bought-in. The CRM-of-shoppers and direct loyalty cells have historically stayed light, or filled with retailer-shared extracts under contracts the retailer controls.

Which means the whole RGM tech stack – the elasticity models, the trade promotion optimisers, the agent-based shopper simulators – was engineered to deliver real commercial value without the brand ever owning the customer relationship. That makes sense when the modus operandi and perceived wisdom in the room is that customer 1^st party data (1PD) is non-viable. Customers won’t share data for the cost of a crisp packet.

But that is changing, and it leaves an enormous amount of upside on the table for whoever gets to that customer relationship first.

The unlock available to RGM

There is a presumption I hear often in client conversations, usually delivered as settled fact.

“We’re a CPG. We don’t have a direct relationship with the consumer. We sell through retail, wholesale or distribution. Shoppers won’t share their data with us, so building first-party data at scale isn’t realistic.”

It is repeated by thoughtful, experienced people – category directors, CMOs, chief data officers. It made complete sense in 2008. It held up, with caveats, in 2015. But now in 2026 I think it is simply a mental bias – maybe anchor, or sunk cost from failed past attempts, or simple framing bias.  The good news is that in 2026, with smartphones in 84% of adult hands globally and unique QR codes that cost essentially nothing to encode per unit, the constraint has lifted. The technology is mature, the consumer behaviour is there, and the economics work. The historical conclusion (that 1PD is inaccessible at scale) is ready to be retired.

1PD success as part of RGM unlock

Working with one of the world’s largest CPG brands, we have built and scaled an on-pack loyalty programme using a unique QR code per pack. Every individual unit is its own digital handshake. The shopper scans, lands in a branded experience, and chooses to engage – for entry into a prize draw, for a reward, for a moment of utility tied to that specific pack.

The shape of it is a loyalty scheme. The substance of it is an RGM data strategy – a direct connection with the buyers of the product, on a weekly basis, at scale. They tell us who they are. They show us what they are buying. And once that signal is flowing into the RGM and marketing stack, the whole stack starts to do more.

Here is what excites me most. This capability is now open to every brand, not just the ones the loyalty industry has historically been able to serve. Conventional loyalty economics only work where the consideration is high and the basket value justifies the cost of acquiring and servicing a member: financial services, airlines, premium spirits, prestige beauty. The everyday CPG categories – the snack, the soft drink, the household staple, the impulse buy at the checkout – sat outside that model for thirty years, for the very good reason that no one was going to sign up to a points scheme for a £1.20 chocolate bar. A unique QR code per pack fundamentally changes this, as the cost of the handshake collapses to near-zero, the friction for the shopper collapses to a single scan, and the low-consideration, high-frequency categories – exactly the categories where RGM levers move the most money – become reachable for the first time.

The data flowing back is the same kind of data the high-consideration brands have been working with for decades. Marketing performance can be measured against the consumers who actually bought. Portfolio activity – launches, range changes, pack reformulations – can be tracked against the segments responding to them, with panel data acting as confirmation rather than as the primary source. Customer insight and purchase intent become observable. Pricing changes and the resulting shifts in purchase behaviour show up at the level of named, consented shoppers. Every cut is available by segment and across the customer journey: who tried, who repeated, who lapsed, who traded up. Campaigns can be measured end-to-end against the consumers exposed to them. Competitor performance – historically the noisiest signal in the stack – becomes legible the moment a known buyer of yours starts buying something else.

This is what turns a generic RGM deployment into a proprietary one. Every CPG in the category can buy the same vendor stack, the same elasticity models, the same trade promotion optimiser, the same agent-based simulator. The tooling is commoditised, and that is fine. The proprietary layer is a longitudinal, consented, first-party record of the people actually buying your product. Whoever owns that layer compounds it every quarter.

The economics surprised us in the best possible way. At maturity, up to 40% of pack-buyers in the active markets engage with the programme on a weekly basis. Not annually. Not once. Weekly.

That is a genuine step change in what a direct relationship with the consumer can mean for a CPG. It is also exactly the layer the standard RGM architecture has always told you to insource – the data foundation, the semantic model, the customer dimension that vendors will gladly configure against but cannot provide for you.

What opens up when the data starts flowing

Several good things happen at once.

Demand signal becomes shopper-level. You can see who buys what, where, alongside what else, with what frequency, in response to which trigger. Elasticity becomes a distribution across real, named segments of your own consumers, with much sharper resolution than a category coefficient can offer.

Promotional ROI becomes properly answerable. The vendor can tell you what lifted; first-party data tells you who responded, and whether the responders were existing heavy buyers or genuinely new ones. That is the question every commercial director wants answered, and it becomes answerable for the first time.

Most importantly for the architecture, the company owns the asset. The trained elasticity models, the agent-based simulators, the planning UIs all live in the vendor’s IP layer and are replaceable. A clean, longitudinal, consented record of who your consumers actually are sits in your own CDP, under your own unique prevue, and grows in value every quarter you operate it.

The prize sits one layer down

On-pack loyalty often gets introduced as a brand engagement tool, and is seen as tactical, messy, and often cannibalising. RGM is in place – in part – to solve this perception at scale. The strategic prize sits one layer below the marketing programme.

A CPG with direct, consented, data on millions of its own consumers has a data store that no competitor and no retailer can replicate. The data does not live in the o9 Knowledge Graph or in McKinsey’s Periscope portal. It lives in the company’s lakehouse. Everybody wants it, but none of the vendors can take it with them when the contract ends, and it won’t train models that subsequently advantage your competitors.

The programme has won awards, which I’m genuinely proud of. The bigger result is the proof point: CPG businesses can build mass direct 1PD at scale.

Where this goes next

If you’re a CPG leader I am sure you are looking for original thought upon which you can act.  If you believe RGM is giving you advantage, but so too are your competitors seeing similar opportunities, then rethinking 1PD strategy is your key unlock.  The technology is mature, the economics work, and the window in which 1PD is a defensible competitive asset is wide open right now. Always up for a good chat.

Doug Killick is the Strategy Director and Senior Partner of Portera.