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SHOPPER MARKETING

Every shopper marketing moment is competing for one thing: a behavioral response.

Most never measure whether they got it.

Shopper marketing investments only deliver ROI when they influence behavior — capturing attention, building impulse, shaping decisions, and converting at the moment of truth. VideoMining’s Shopper Marketing suite connects real in-store behavioral evidence to every moment along the path to purchase, revealing what breaks through, what creates friction, and what drives the response you’re
investing for.

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THE MEASUREMENT GAP

THE MEASUREMENT GAP

Limitless retail data, but none can tell you what captured attention, built impulse, or shaped the decision that led to the sale.

The most consequential moments in shopper marketing happen before the transaction. A display either stops a shopper, or it doesn’t. A promotion either changes behavior or simply rewards a purchase that was already going to happen. A retail media moment either registers, redirects, and influences — or it blends into the background. These are the moments that determine whether your investment generated a return. And they’re invisible to every data source that measures only outcomes.

Without behavioral evidence, shopper marketing strategy is built on instinct — what worked before, what feels right, what the agency recommended, what leadership approved. The result is a planning cycle where the most important questions go unanswered. Which placements genuinely drive incremental response? Which creative formats earn attention versus get ignored? Which promotions build trial versus erode margins? Which retail media moments truly influence what a shopper does next?

VideoMining makes those moments visible — connecting real in-store behavioral evidence to every stage of the path to purchase, so the decisions behind your investment are grounded in Shopper Truth, not assumption. 

WHAT WE DELIVER

Five areas of shopper marketing intelligence — each one built around an in-store moment that influences behavior.

1

Display Playbook

Which display types, placements, and assortments create true incrementality — and what’s therepeatable blueprint to scale it ?

VideoMining reveals why a display worked — or didn’t — by quantifying the complete behavioral funnel from store traffic through display exposure, engagement, and conversion at the individual display level. We identify which placement zones intercept the most relevant shoppers, which creative formats and assortment configurations drive the strongest stop-and-convert response, and which attributes are worth replicating across campaigns, retailers, and channels. The output is a fact-based display playbook grounded in observed shopper behavior — not assumption.
2

Promotion Best Practices

Which promotions drive incremental behavioral response — and which just create noise ?

VideoMining measures real shopper response to promotion mechanics in-store — comparing tactics like BOGO versus percentage-off, evaluating which signage formats drive the strongest stop-and-convert lift, and identifying which cross-merchandising pairings generate meaningful add-on sales. The result is a promotion best-practices playbook built on what shoppers actually react to.
3

Shopper Decision Trees

How do shoppers actually decide — what do they consider first, what do they rule out, and whatultimately tips the scale ?

Most decision trees are built from what shoppers say they do. VideoMining builds them from what shoppers actually do — observing real in-aisle behavior and synchronizing it with consumer context to produce a validated decision hierarchy that reflects the true sequence of consideration, comparison, and choice. The result is a decision framework grounded in behavioral reality — one that reveals the attributes that genuinely drive purchase, the points where shoppers disengage, and the opportunities to influence the decision before it’s made.
4

Shopper Segmentation

How do different shopper profiles respond to your in-store marketing — and what tactics areproven to move each one towards a conversion ?

Different shoppers require different strategies. VideoMining builds behavioral shopper profiles across two dimensions — trip mission, defined by how shoppers navigate, what they buy, and how they build their basket; and shopper demographics, including gender, age, ethnicity and group dynamics. Each profile is mapped against response to in-store stimuli — placement, signage, display format, and brand activations — to identify the tactics most likely to capture attention, build impulse, and drive conversion for each distinct shopper type.
5

Retail Media Optimization

How do you prove retail media is driving real in-store behavior — and which moments actuallybuild awareness, influence, and incremental sales ?

Retail media investment is growing rapidly — but the gap between what RMN platforms report and what shoppers actually do remains wide. VideoMining bridges that gap by connecting retail media exposure directly to observed in-store behavior — tracking whether shoppers saw the moment, whether it changed what they did next, and whether it drove incremental impact. The result is behavioral proof of retail media effectiveness that no attribution model can replicate.
1

Display Playbook

Which display types, placements, and assortments create true incrementality — and what’s therepeatable blueprint to scale it ?

VideoMining reveals why a display worked — or didn’t — by quantifying the complete behavioral funnel from store traffic through display exposure, engagement, and conversion at the individual display level. We identify which placement zones intercept the most relevant shoppers, which creative formats and assortment configurations drive the strongest stop-and-convert response, and which attributes are worth replicating across campaigns, retailers, and channels. The output is a fact-based display playbook grounded in observed shopper behavior — not assumption.
2

Promotion Best Practices

Which promotions drive incremental behavioral response — and which just create noise ?

VideoMining measures real shopper response to promotion mechanics in-store — comparing tactics like BOGO versus percentage-off, evaluating which signage formats drive the strongest stop-and-convert lift, and identifying which cross-merchandising pairings generate meaningful add-on sales. The result is a promotion best-practices playbook built on what shoppers actually react to.
3

Shopper Decision Trees

How do shoppers actually decide — what do they consider first, what do they rule out, and whatultimately tips the scale ?

Most decision trees are built from what shoppers say they do. VideoMining builds them from what shoppers actually do — observing real in-aisle behavior and synchronizing it with consumer context to produce a validated decision hierarchy that reflects the true sequence of consideration, comparison, and choice. The result is a decision framework grounded in behavioral reality — one that reveals the attributes that genuinely drive purchase, the points where shoppers disengage, and the opportunities to influence the decision before it’s made.
4

Shopper Segmentation

How do different shopper profiles respond to your in-store marketing — and what tactics areproven to move each one towards a conversion ?

Different shoppers require different strategies. VideoMining builds behavioral shopper profiles across two dimensions — trip mission, defined by how shoppers navigate, what they buy, and how they build their basket; and shopper demographics, including gender, age, ethnicity and group dynamics. Each profile is mapped against response to in-store stimuli — placement, signage, display format, and brand activations — to identify the tactics most likely to capture attention, build impulse, and drive conversion for each distinct shopper type.
5

Retail Media Optimization

How do you prove retail media is driving real in-store behavior — and which moments actuallybuild awareness, influence, and incremental sales ?

Retail media investment is growing rapidly — but the gap between what RMN platforms report and what shoppers actually do remains wide. VideoMining bridges that gap by connecting retail media exposure directly to observed in-store behavior — tracking whether shoppers saw the moment, whether it changed what they did next, and whether it drove incremental impact. The result is behavioral proof of retail media effectiveness that no attribution model can replicate.
WORK EXAMPLES

The kinds of moments we decode — and what happens when you have the behavioral evidence.

01
DISPLAY PLAYBOOK

Same grocery endcap execution. Two different placements. Completely different outcomes.

Outcome: Zone A delivered +44% exposure. Zone B delivered +227% conversions — proving that high traffic and high conversion are not always the same thing.

A CPG brand testing endcap placement kept every variable identical — creative, assortment, fixture, and promotional message — and changed only the display location. VideoMining’s behavioral shopper insights identified which placement delivered the most conversions, despite a lower exposure rate. The finding reframed how the brand evaluated display ROI — shifting the focus from traffic exposure to behavioral conversion and informing a display placement playbook scaled across retailers and channels.

02
PROMOTION BEST PRACTICES

A “2 for $X” promotion on c-store endcaps drove stronger unit lift than a standard sale price. But only in certain contexts. Why?

Outcome: Behavioral analysis identified the signage formats and cross-merchandising conditions that amplified promotional response — and those that didn’t.

A CPG brand running multiple promotional mechanics across convenience store endcaps needed to understand which formats were actually driving behavioral response. VideoMining’s behavioral analysis revealed that “2 for $X” endcap promotions drove +44% unit lift over standard sale price — but that lift was significantly amplified by specific signage formats and cross-merchandising pairings. Seasonal cross-purchase analysis also revealed high-value adjacency opportunities during key holiday windows that promotion planning had previously missed.
03
SHOPPER DECISION TREES

Beer shoppers averaged 34 seconds at the shelf. Only 6% read a label. Buyer sand non-buyers spent identical time. So why did some convert and others walk away?

Outcome: Shoppers weren’t disengaged — they couldn’t find what they wanted. A validated shopper decision tree rebuilt the category architecture and delivered +11% category productivity.

A retailer and CPG brand rebuilt their alcohol beverage decision tree from scratch using VideoMining’s behavioral evidence. Identical well time between buyers and non-buyers pointed to a navigation and findability problem, not a lack of interest. Behavioral findings were synchronized with consumer context surveys to validate the true decision hierarchy — informing a new decision architecture that was tested in select stores before rollout.
04
SHOPPER SEGMENTATION

A CPG brand wanted to better understand and engage Hispanic shoppers in the convenience channel. What did behavioral evidence reveal about how they shop?

Outcome: Behavioral segmentation surfaced distinct shopping patterns and informed targeted merchandising best practices that grew basket size +24%.

VideoMining’s behavioral segmentation revealed that Hispanic shoppers followed a predominantly mission-driven path — concentrating in destination zones with minimal unplanned browsing. Understanding those distinct patterns pointed to specific opportunities in placement, messaging, and cross-merchandising to better engage this high-value and growing shopper segment. The resulting merchandising best practices grew basket size +24% in test markets.

Ready to see what your in-store marketing is actually doing for performance?

Talk to our team about how VideoMining’s Shopper Marketing suite can bring behavioral evidence to your most important in-store investment decisions.
Talk to Our Team