Every campaign, matched to the people who actually walked in.
A beacon in each store detects real visits. Kairos reconciles them with the ad exposure logs of every channel you buy, offline and online, and reports what each campaign contributed to in-store revenue.
From a visit in your store to a number your CFO can use
A beacon detects the visit
Exposure is read on the media side
Kairos reconciles the two
You read the result in revenue
Media KPIs measure the digital world. These measure the store.
Exposed visitors
Visitor coverage
Cost per exposed visitor (CPV)
Contribution to in-store revenue
Beacons, not GPS
Built for dense locations
No visits from outside
Read the study
An iterative loop on the budget you already have
01 · Test
02 · Analyze
03 · Transform
Results · Baseline, then iteration
Same budget. More revenue in store.
The first campaign is your baseline. At each iteration, Kairos AI operates a larger share of the plan, cuts the media waste it finds and moves the money toward the channels and sequences that contribute most to in-store revenue.
Baseline · before Kairos
Campaign 1
Current iteration · with Kairos AI
Campaign 2, same $100k
Demo data, one national retailer. Gains are measured on the share of the plan Kairos operates; that share grows at each iteration.
Every channel on the same scale
| Channel | Budget | Cost per exposed visitor | Contribution / budget |
|---|---|---|---|
| Digital out-of-home | $230k | $1.98 | 4.3 |
| Display | $130k | $2.34 | 3.2 |
| Online video | $210k | $4.82 | 1.6 |
| Social | $250k | $5.75 | 1.3 |
| Audio streaming | $25k | $6.20 | 1.2 |
| $150k | $5.20 | 0.7 | |
| Linear TV | $1,320k | $9.35 | 0.6 |
Demo data, branding campaigns, one national retailer. Ratios below 1 mean the channel contributed less revenue than it cost; they are the first candidates for reallocation.
Media plan learnings · Exposure journey
The same mix, in the right order and at the right pace, brings more people through the door.
Kairos AI does not only measure each channel. It looks for the exposure sequence that contributes most to in-store revenue: which channel opens, which one repeats, which one closes, and on which day. Below, the winning week of a national retailer on the demo account.
The winning sequence · typical week
Cumulative index of useful exposed visitors (base 100 = first solo exposure)
Indices computed on exposed visitors. Same budget, sequenced journey versus simultaneous activation of the same channels. Demo data, national retailer, typical week outside peak.
Sequenced journey
Cost per useful exposed visitor
Reversed sequence
The wide screen opens, the street closes. TV priming conditions the efficiency of every following exposure.
48 hours max between two steps. Beyond that, the previous wave fades. The YouTube bounce at D+1 of TV is the most profitable link in the chain.
4 display repetitions, not more. Beyond 4 contacts, each extra impression adds no useful exposed visitor: it is pure media waste.
Media plan learnings · Timing
Each channel has its own clock.
Median delay observed between the last exposure to a channel and the visit of the same visitor in store. Some channels act in days, others in months. The right plan aligns each channel's delay with your commercial calendar.
Median delay · last exposure → first visit
Observed on exposed visitors, 12 rolling months
Demo data, national retailer. Channel order and delays illustrate the method; your own clocks are measured on your visitors.
Fast action
DOOH acts in daysActivate it right before your sales events: its effect is immediate but short.
Long action
TV works over monthsJudge it over time: cutting TV is paid for one quarter later, not the following week.