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saai ads insight · Retail media · point-of-purchase ads

How much did
this spot actually get seen?

We count, separately, who walked past the piece, who turned and drew closer, and where a gaze stopped. The value of a spot is scored by response on the floor, not by outcome.

Products· Function module
One camera watches the shelf and the aisle in front of it
  • Traffic · walked past
  • Approach · turned closer
  • Attention · gaze stopped
SignageEndcap shelfHighest-attention zoneMain aisleApproach1 camera

Walk straight through the aisle and it is traffic. Turn and draw closer and it is approach. Stop in front of it and your gaze is attention.

Traffic
1,240people · daily
Approach · 25.6% of traffic
318people
Attention · 44.7% of approach
142people · 3.1s avg
Action · optional signal
46pickups

No identification: only gaze and response remain. Video is deleted after analysis. * Figures are examples.

01 Limits

The limit of scoring an ad spot by outcome alone

POS limit

Only the purchase remains

Traffic and gaze in front of the piece never appear anywhere in POS. A number after the sale cannot tell you why it sold or where it lost people.

Placement pricing

The spot has no evidence

A near-purchase placement should be priced by the response it actually gets on the floor.

Today, pricing is set by store location and visitor count. Which spot inside the same store got more attention never makes it to the negotiating table.

Same store, same period

Example

The cost per attention differs 3.4× between two spots

With the same visitor count, both spots sell for the same price today. Measure attention and it becomes clear the two spots are different products.

saai ads insight keeps traffic, approach, and attention per spot. Pricing evidence now lives inside the spot, not outside the store.

  1. Spot ATraffic 1,240 · attention 14211.5% attention rate
  2. Spot BTraffic 1,190 · attention 403.4% attention rate
  3. RateSame 600,000 KRW/month · per attention4,225 vs 15,000 KRW

Spot A · per one attention

4,225 KRW

Spot B · per one attention

15,000 KRW

Assumptions · 30-day measurement · Same 600,000 KRW/month placement rate · Attention defined as 1.5s+ gaze

All figures are examples. Real values replace them once measured per placement.

saai ads insight measurement

From who passed by,
to gaze that stayed.

Measure traffic, approach, attention, and action per piece. The next placement has evidence.

02-1 Four stages

Response is not one number. It is four stages

Which stage loses people is the prescription itself.

Low traffic means move the spot. Low approach means check eye level and orientation. Low attention means look at the creative. The same "underperforming" splits three ways.

  • Traffic

    How many walked past the piece, accumulated hour by hour.

  • Approach

    The share of passersby who turned and drew closer.

  • Attention

    Where the gaze stopped, and how long it stayed there.

  • Action

    Picked up or passed by. An optional signal.

    38%

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* Figures are illustrative.

02-2 Simulation

Same traffic, only the spot changes

Run the measured traffic through two placements and it splits apart: is this a creative problem, or a placement problem?

Same traffic · same creativeExample
A · End-of-aisle wall, people brush past it
Selected

12% approach

Approach rate
12%
Avg. attention
1.4s
Action rate
5%
B · Shelf-side eye level, people stop

26% approach

Approach rate
26%
Avg. attention
3.1s
Action rate
11%

A · Reading the end-of-aisle wall

Traffic is high but the walk never stops

Traffic alone makes this look like a good spot. Approach stays at 12% and attention cuts off at 1.4 seconds, so a new creative will not hold the eye any longer. People are already facing the direction they are walking.

The simulation runs on measured values. A placement plan run without real measurement is not evidence. Measure traffic, approach, and attention per spot first, then compare the next placement with those values. People confirm it.

03 Evidence

Evidence that it counts right, and evidence that the judgment changes

It counts right

92–95%

Accuracy compared against manually judged approach and attention.

Traffic & approach 2025 Q2
94.6%
Attention zone 2025 Q2
92.3%
Pickup 2025 Q3
90.8%

* Figures are examples. Real accuracy varies with camera angle, lighting, and shelf shape.

The judgment changes

Where the judgment flipped

Example

The most expensive spot to sell turned out to be the least seen

It had the highest traffic in the store, but the walk never stopped there. A small shelf next to checkout was pulling three times the attention. Pricing moved from traffic to attention.

Placements measured

Example

260 placements · 6 months

Written as category and scale. The brand name is not stated.

Cumulative measurement

Example

8.4 million attention records

Cumulative records of traffic, approach, and attention, counted apart.

04 Privacy

Every measurement uses only anonymized spatial data.

Privacy by Design

Anonymization comes first. The SEAL engine

No video stored
Deleted after analysis, stats only
No originals kept
Source footage is never retained
No re-identification
Identity removed, flow only

CV reads the floor while SEAL removes identity.

05 Install and measure

Three steps on site, three steps in the app

Install · on siteOn the CCTV you already use

  1. 01

    Check the frame

    Just check that the piece and the aisle in front of it fit in one frame

  2. 02

    Plug in the AI box

    One outlet next to your existing recorder. No new hardware

  3. 03

    Connect your phone

    Set up from the phone browser. No keyboard or mouse needed

1 / 3

Measure · in the appMark the piece and it starts

  1. 04

    Mark the piece

    Mark signage, shelves, and displays as zones on screen

  2. 05

    Set thresholds

    Set approach distance and attention duration per placement

  3. 06

    Placement report

    Performance per posting, reports by daypart and audience mix, and CSV

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The shorter a placement’s rotation, the more it matters to keep results per posting. The last posting’s response becomes the evidence for the next one.

Where it goes

As measurement builds up, the spot becomes a market

  1. 01

    Targeting

    Review exposure by daypart and audience mix. The mix is an anonymous estimate.

  2. 02

    Objective results

    See exposure, attention, and conversion as numbers. Use them in placement pricing negotiations.

  3. 03

    Bidding

    Build toward a market for buying and selling shelf-front placement, like online ads.

Through detect, analyze and act

One measurement reads three ways

care detects the same piece, insight analyzes it, and agent connects it to the action.

  • saai careSense

    What needs attention?

    Live gaze response in front of displays, POP and signage

  • saai insightAnalyze

    Why did it happen?

    Attention per piece analysed (gaze→pick, approach conversion)

  • saai agentThink

    What should we do?

    Golden-zone, placement and exposure priority suggested

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If you need the full store route

Dwell, path, and zone transitions are read by saai insight. ads insight picks up where people stop in front of a piece.

See saai insight

Perfect your space.

Ad spots perform differently.

Signage and displays are not done once they are up. Measure the traffic and the gaze in front of them, and the next placement has evidence.