Every product on every shelf in every Coles, Woolworths, and IGA store in Australia is there because someone made a deliberate decision. That decision is recorded in a planogram. Understanding how planogram data works — and where it breaks down — is one of the most underrated levers CPG brands have for improving shelf performance.
Most brand teams know what a planogram looks like. Fewer understand how the data behind it flows through a retailer's operation, or how significant the gap between a planned planogram and an executed one actually is. That gap is where shelf performance is won and lost.
What is planogram data?
A planogram is a visual schematic of a retail shelf — it specifies which product goes in which position, how many facings each SKU receives, the order products appear left-to-right and top-to-bottom, and how shelf space is allocated across a category. Planogram data is the structured, machine-readable version of that schematic.
In practice, planogram data includes:
- Product positioning: Exact bay, shelf, and horizontal position for each SKU
- Facing counts: How many units face forward at any given position
- Fixture dimensions: Shelf heights, depths, and widths that define the physical space
- Adjacencies: Which products sit next to each other — critical for category flow and shopper navigation
- Space allocation: Linear metres and cubic volume assigned to each brand or sub-category
Retailers maintain this data in dedicated planogram software (JDA, Blue Yonder, and similar platforms are common in Australian grocery). For major retailers, a national planogram can define shelf layout across hundreds of stores simultaneously.
Key distinction: A planogram defines the intent — what the shelf is supposed to look like. Actual in-store execution is a separate question, and the two don't always match.
How Coles, Woolworths, and Metcash use planogram data
The three dominant retail networks in Australian grocery each approach planogram management somewhat differently, but the underlying logic is consistent: planogram data is used to standardise shelf presentation, drive compliance across a distributed store network, and optimise category performance at scale.
Coles and Woolworths
Both major chains operate centralised category management functions that produce planograms for each category, updated through regular review cycles. Category managers own the planogram — they determine which products make the range, what space allocation each brand receives, and how the shelf is organised. These decisions are informed by sales data, supplier negotiation, and increasingly, shopper behaviour research.
Planograms are then distributed to store teams, who are responsible for implementing them within a compliance window. Store-level compliance is audited — either by the retailer's field team, third-party audit services, or automated shelf monitoring technology. Non-compliance (products out of position, incorrect facings, substitutions) is a persistent operational challenge at scale.
Metcash and independent formats
Metcash, which supplies IGA and the broader independent network, operates a more fragmented planogram model. National planograms exist for the core range, but individual store operators retain more discretion over ranging and layout than their major-chain counterparts. This creates meaningful variation in what a "standard" IGA shelf looks like — and means that planogram data for the independent channel requires more careful interpretation.
The gap between planogram creation and planogram validation
Here's where it gets important for CPG brands: there is a systematic gap between what a planogram specifies and what shoppers actually see on shelf.
This gap exists for several reasons:
- Implementation lag: New planograms take time to implement across a store network. During the transition, old and new layouts coexist.
- Out-of-stocks: When a product is unavailable, adjacent products shift, facings change, and the category layout deviates from the planogram.
- Store-level discretion: Store managers make local adjustments — promotional displays, seasonal swaps, ranging exceptions — that aren't always captured in the central planogram.
- Data latency: Planogram software reflects the designed state, not necessarily the current executed state.
For CPG brands, this gap has a direct performance consequence. A brand negotiating for a specific shelf position based on planned planogram data needs to understand what execution compliance actually looks like — because the shopper behaviour data you generate will reflect what shoppers encounter in reality, not what was designed on a screen.
The validation problem: Most CPG brands can access planned planogram data. Very few have a reliable way to validate whether that plan reflects what's actually happening on shelf — and to test what different shelf configurations would do to shopper behaviour before committing to a range review position.
How ShelfLab bridges the gap
ShelfLab is built around a specific insight: the value of planogram data isn't just in knowing what the shelf looks like — it's in being able to test what happens when you change it.
The platform uses real Australian grocery planogram data to construct virtual shelf environments that replicate actual category layouts in Coles, Woolworths, and independent formats. You can explore a live planogram visualiser immediately — no sign-up required — to see how real planogram data is structured and rendered.
For structured shelf testing, ShelfLab lets you run shopper behaviour studies against your actual competitive context. Instead of testing against a generic shelf mock-up, you're testing against a faithful digital replica of the planogram your brand competes within. That means results are grounded in the specific adjacencies, facing counts, and category flows that define your real shelf situation.
This is what makes planogram-based virtual shelf testing different from traditional shopper research. You're not asking shoppers to respond to an abstraction — you're asking them to navigate something that looks and behaves like the shelf they use every week. The findings translate directly into the category review conversation, because the test data reflects the actual decision you're asking your retailer to make.
Planogram data in Australian grocery is more than a store operations tool. For brands that understand how to use it, it's the foundation for building a shelf strategy grounded in evidence rather than assumption. The brands that treat it as input to a testing process — not just a compliance document — are the ones that show up to range reviews with data worth paying attention to.