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STORE OPTIMIZATION

Every inch of the
store is an investment. Behavioral evidence reveals which ones are working — and which ones aren’t.

Every element of the store — the layout, the fixtures, the signage, the aisle flow, the front end, the destination zones — carries a cost. And every one of them is either driving shopper behavior in the right direction or working against it. VideoMining’s Store Optimization suite gives retailers and the CPG brands that partner with them the behavioral evidence to know which is which — and what to do about it.

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THE PERFORMANCE GAP

WHAT WE DELIVER

Five areas of store intelligence — each one builtaround making the store work harder for shoppersand the bottom line.

1

Store Design

How does the store environment shape shopper behavior — and which design decisions are earning their investment ?

Store design sets the tone for everything that happens inside the four walls — from the layout and flow that determine how shoppers navigate, to the visual environment that shapes how they feel in the space. VideoMining quantifies how store design elements influence where shoppers go, what they engage with, and what ends up in their basket — identifying what’s driving performance and what’s working against the experience the store is trying to create.
2

Front End

Is the front end converting its traffic — or leaving basket-building opportunity on the table ?

The front end is one of the highest-traffic, highest-potential zones in any store — and one of the most behaviorally complex. VideoMining measures how shoppers interact with the front end in real time — what captures attention, what drives impulse engagement, what checkout configurations and impulse assortments generate add-on purchases, and how front end performance varies across trip missions and shopper profiles. The result is behavioral evidence that turns the front end from a transactional endpoint into an active driver of basket growth, while optimizing the operating costs with the right number and types of checkouts.
3

Macro Space Plan

Is space allocated to the categories and zones that best serve shopper behavior — and the business?

Space is the store’s most finite and expensive resource. VideoMining connects behavioral traffic patterns, category engagement rates, and basket outcomes to evaluate whether space is allocated in proportion to the shopper behavior it generates. We identify which categories are over- or under-spaced relative to their behavioral productivity, where adjacencies are creating cross-purchase opportunity, and how reallocation of space could improve both shopper experience and sales per square foot. The result is a macro space strategy grounded in behavioral evidence rather than historical allocation.
4

Destination Zones

Are destination zones driving traffic to and through the store — and turning those visits into profitable shopping missions?

Modern stores are built around destinations — the services, experiences, and categories that give shoppers a reason to walk through the door. But the commercial value of a destination zone isn’t just in the visits it generates. It’s in what happens to those shoppers once they’re inside. VideoMining decodes how destination shoppers move through the store — where they go, what they’re exposed to, what they engage with beyond their primary mission, and where the layout is inadvertently routing them out the door before they’ve had the chance to build a basket. When destination zones are concentrated in ways that bypass impulse categories, that leakage is invisible without behavioral evidence. We make it visible — and give retailers and their CPG partners the blueprint to design destination strategies that drive trips, deepen loyalty, and maximize the productivity of every visit.
5

Shoppability

Is the store experience frictionless enough to convert — or are hidden barriers quietly costing you?

From how aisles are organized and how signage guides navigation, to product availability, shelf flow, and the ease of the overall shopping mission — every element of the in-store experience either reduces friction or creates it. And friction is expensive. Nearly 40% of resets fail because they ignore how shoppers actually shop. VideoMining identifies the behavioral root causes of poor shoppability — where shoppers hesitate, backtrack, disengage, or abandon a mission entirely — across the full store experience. The result is a precise, actionable picture of what’s working, what isn’t, and what changes will make the store easier to shop, higher converting, and more compelling to return to.
1

Store Design

How does the store environment shape shopper behavior — and which design decisions are earning their investment ?

Store design sets the tone for everything that happens inside the four walls — from the layout and flow that determine how shoppers navigate, to the visual environment that shapes how they feel in the space. VideoMining quantifies how store design elements influence where shoppers go, what they engage with, and what ends up in their basket — identifying what’s driving performance and what’s working against the experience the store is trying to create.
2

Front End

Is the front end converting its traffic — or leaving basket-building opportunity on the table ?

The front end is one of the highest-traffic, highest-potential zones in any store — and one of the most behaviorally complex. VideoMining measures how shoppers interact with the front end in real time — what captures attention, what drives impulse engagement, what checkout configurations and impulse assortments generate add-on purchases, and how front end performance varies across trip missions and shopper profiles. The result is behavioral evidence that turns the front end from a transactional endpoint into an active driver of basket growth, while optimizing the operating costs with the right number and types of checkouts.
3

Macro Space Plan

Is space allocated to the categories and zones that best serve shopper behavior — and the business?

Space is the store’s most finite and expensive resource. VideoMining connects behavioral traffic patterns, category engagement rates, and basket outcomes to evaluate whether space is allocated in proportion to the shopper behavior it generates. We identify which categories are over- or under-spaced relative to their behavioral productivity, where adjacencies are creating cross-purchase opportunity, and how reallocation of space could improve both shopper experience and sales per square foot. The result is a macro space strategy grounded in behavioral evidence rather than historical allocation.
4

Destination Zones

Are destination zones driving traffic to and through the store — and turning those visits into profitable shopping missions?

Modern stores are built around destinations — the services, experiences, and categories that give shoppers a reason to walk through the door. But the commercial value of a destination zone isn’t just in the visits it generates. It’s in what happens to those shoppers once they’re inside. VideoMining decodes how destination shoppers move through the store — where they go, what they’re exposed to, what they engage with beyond their primary mission, and where the layout is inadvertently routing them out the door before they’ve had the chance to build a basket. When destination zones are concentrated in ways that bypass impulse categories, that leakage is invisible without behavioral evidence. We make it visible — and give retailers and their CPG partners the blueprint to design destination strategies that drive trips, deepen loyalty, and maximize the productivity of every visit.
5

Shoppability

Is the store experience frictionless enough to convert — or are hidden barriers quietly costing you?

From how aisles are organized and how signage guides navigation, to product availability, shelf flow, and the ease of the overall shopping mission — every element of the in-store experience either reduces friction or creates it. And friction is expensive. Nearly 40% of resets fail because they ignore how shoppers actually shop. VideoMining identifies the behavioral root causes of poor shoppability — where shoppers hesitate, backtrack, disengage, or abandon a mission entirely — across the full store experience. The result is a precise, actionable picture of what’s working, what isn’t, and what changes will make the store easier to shop, higher converting, and more compelling to return to.
WORK EXAMPLES

The kinds of store challenges we solve — and what happens when behavioral evidence shapes the decision.

01
DESTINATION ZONES / STORE DESIGN

A convenience retailer’s destination zones were driving traffic — straight past the impulse categories that build baskets.

Outcome: Redesigning destination zone placement increased impulse snack category exposure by 4x and improved productivity per square foot by +300%.

A national convenience chain preparing a store redesign rollout needed behavioral evidence before committing to a format at scale. VideoMining’s analysis revealed that destination zones concentrated in one quadrant were routing shoppers on a path that by passed key impulse categories — salty snack exposure sat at just 7.6%. A redesigned layout distributed destination zones differently, lifting snack exposure to 21.6% with basket and unit growth following. Best practices were validated in Lab Stores™ before national rollout — delivering +300% improvement in productivity per square foot.
02
SHOPPABILITY

A category reset made perfect sense internally. But shoppers couldn’t find what they were looking for — and the behavioral data showed exactly why.

Outcome: Behavioral analysis identified the disconnect between internal category logic andhow shoppers actually navigate — and defined the fix that recovered the leakage.

A retailer organized their bread category by brand — a logical decision internally that aligned with supplier relationships. VideoMining’s behavioral analysis revealed that shoppers navigateby bread type, not brand. The mismatch drove 30% longer search times and tripled leakage as shoppers a bandoned the mission. Realigning the segmentation to match shopper mental models reduced navigation friction and recovered the conversion the reset had cost.
03
FRONT END

A CPG brand and a convenience retailer wanted to know whether a checkout queue with merchandising would drive incremental front end sales — and exactly how to configure it to maximize performance.

Outcome: Active front end shopping more than tripled and buyers increased over 200% — but behavioral evidence revealed that fixture size and shelf placement made the difference betweena marginal result and a transformational one.

A leading CPG brand collaborated with a convenience retailer to test checkout queue fixtures across two stores with different configurations. VideoMining measured the complete behavioral path to purchase before and after installation — tracking exposure, engagement, and conversion at the individual product level. The larger fixture dramatically out performed the smaller one, and within each fixture, only products on the top shelf facing directly into the queue generated meaningful engagement. Products on outside-facing or lower shelves were largely ignored. The behavioral evidence gave the brand and retailer a precise configuration and placement blueprint — not just proof that the fixture worked, but exactly why and how to scale it.
04
MACRO SPACE PLAN

A retailer assumed their highest-traffic display locations were their most productive. Behavioral evidence revealed the opposite — and reframed how they thought about space entirely.

Outcome: Behavioral measurement exposed a productivity gap of more than 10x between display locations that looked high-value on paper and those that actually drove purchase.

A retailer evaluating space allocation across multiple display types and store locations used VideoMining to quantify actual shopper productivity by placement. The behavioral evidence revealed that perceived high-visibility locations were dramatically underperforming relative to their space investment — delivering less than a tenth of the conversion rate of the category’sprimary shelf location. The findings reframed the retailer’s macro space strategy, shifting investment toward behaviorally validated locations and away from placements that consumed space without generating meaningful return.

Ready to make every inch of your store work harder?

Talk to our team about how VideoMining’s Store Optimization suite can bring behavioral evidence to your most important store performance decisions.
Talk to Our Team