What is a planogram (POG)? Shelf layout

What a planogram is

A planogram, often shortened to POG, is the diagram that shows exactly where each SKU sits on a shelf: which position left to right, how many facings it gets, and at which shelf height. It is the blueprint a store team follows when they reset a section, down to "your 12oz oat granola goes here, three facings, second shelf from the top." The first time I got a Sprouts planogram back after a category review, my new SKU had landed on the bottom shelf with a single facing, and I understood immediately why the velocity projection in my launch model had been wishful thinking.

If you searched "planogram meaning" because someone in a buyer meeting kept saying "POG" like everyone should know it, that is the whole term. It is the shelf map, and where your item lands on it quietly decides a large share of how fast it sells.

Facings, position, and eye level

Three variables drive most of a planogram's impact on velocity:

• Facings: how many units of a SKU face the shopper across the shelf. More facings mean more visual weight and a slower out-of-stock.
• Horizontal position: shoppers scan left to right; prime real estate is near the category's natural anchor brand.
• Eye level: the "eye level is buy level" rule is real. Shelves roughly at 4 to 5 feet outsell the top and bottom shelves for the same item.

Here is a SPINS-shaped example of how facings track with velocity for one granola SKU across a natural-channel region, holding everything else roughly constant:

Two things to read off this. Facings have diminishing returns, a fourth facing rarely doubles a second, but the jump from bottom shelf to eye level is large and is partly position, not just facing count. This is also why on-shelf availability and planogram compliance are linked: a beautiful planogram does nothing if the store never reset to it or lets the facings collapse to one when stock runs low.

Tools and who builds them

Planograms are not drawn by hand anymore. The category captain or the retailer's space-planning team builds them in dedicated software, and the output is a precise diagram plus a SKU-by-SKU position list the store can execute.

As a brand analyst you usually do not own the software, but you live with its output. The position list that comes back from a category review is the ground truth for what distribution you actually have, and it feeds straight into the assortment decisions and the velocity model for the next planning cycle.

Realogram vs planogram: the shelf as it actually is

A realogram is a record of the shelf as it actually stands in one store on one day, set against a planogram that says how head office intended it to stand. The usual way a realogram gets built is shelf-image recognition: someone photographs the section, software identifies each product in the picture, and the output is a position-and-facing list for that store. The planogram is the plan. The realogram is the audit.

The two diverge more than most brand teams assume, and the causes are ordinary. A store never reset after the category review. A facing collapsed to one when the backstock ran out and nobody rebuilt it. The new item did not physically fit the space it was drawn into, so the crew blocked the shelf their own way.

Put the two side by side on the same granola SKU, using the velocity figures from the table above:

Three stores were handed the same shelf map and are running three different shelves. Store C is doing 6.0 against the 17.0 the plan was built to deliver, which is 35% of it. Averaged into one regional velocity number, that reads as soft demand at a natural chain like Sprouts, and the brand team goes and rewrites the marketing plan. The fix is in the reset process instead, which implementing a category plan walks through.

Hold the distinction because the two documents answer different questions. The planogram tells you what you were promised. The realogram tells you what you got. Only the second explains a velocity gap between two stores that received identical instructions.

Why the planogram matters to a brand analyst

The reason to care is that velocity depends as much on shelf placement as on the product itself. When you compare two stores and one moves 17 units a week while the other moves 6, the gap is often not demand at all, it is that the first store has you at eye level with four facings and the second has you on the bottom shelf with one. If your velocity analysis ignores the planogram, you will misread placement problems as demand problems and chase the wrong fix.

This is also why planogram compliance shows up in category reviews. A retailer can approve a great planogram and still have a third of stores never reset to it. When your numbers look soft in a region, the first question is whether the stores are actually running the planogram you were promised, which ties planogram work directly back to category management and the review cycle that produced the shelf map in the first place.

Where Scout fits

The hard part of connecting a planogram to performance is joining your shelf placement to your store-level velocity, and most of that lives in separate files. Scout sits on your SPINS or retailer data, so you can compare velocity across stores and regions and spot the placement-driven gaps a single category-average number hides, and it can hold and publish the planogram itself rather than only reading around one. What it cannot do is see the shelf: Scout reads transactions rather than shelf images, so it produces no realogram, and compliance still has to be observed in the store. What it does is tell you which placements are actually paying off, so you walk into the next review with evidence.

The short version

• A planogram (POG) is the diagram of exactly where each SKU sits on a shelf: position, facings, and eye level.
• Facings and shelf height drive velocity. In the worked example, moving from one bottom-shelf facing to four eye-level facings nearly tripled units per store per week.
• The position list a planogram produces is your real distribution. Read velocity against it, or you will mistake a bad shelf spot for weak demand.