Measurement · The Foundation
Measurement for High Value Actions.
Unique analytics for each industry — the foundation where signal becomes strategy, and strategy becomes a deposit, a purchase, a foot through the door.
001Methodology
Three layers. One signal.
i.
Identity
- 1P / 3P / CRM unification, hashed and salted
- Probabilistic graph for cookie-less environments
- Compliance-first — state and platform aware
ii.
Attribution
- Multi-touch attribution across digital, influencer, and experiential
- Incrementality testing — geo holdouts and ghost ads
- Media-mix modeling for budget reallocation
iii.
Outcomes
- Receipt-panel and POS integrations (NielsenIQ, Dutchie, Drizly)
- Deposit-cycle and FTD attribution for gambling
- Foot-traffic and dispensary visit lift
002KPI matrix
What we measure, by category.
| Industry | Primary signal | Outcomes tracked | Data partners |
|---|---|---|---|
| 01 · Firearm | Recent purchase + range visit + SKU receipts | ROAS · CPA · foot traffic · time on site | Cabela's · Bass Pro · range exchanges |
| 02 · Gambling | Deposit value + frequency + bet cadence | FTD · LTV · D30 retention · wager/week | CRM · sportsbook APIs · 3PD panels |
| 03 · Alcohol | Receipt panel + on-premise check-in | Retail ROAS · trial · repeat · MMM | NielsenIQ · Drizly · OnPrem panels |
| 04 · Cannabis | Dispensary POS + DTC subscription state | In-store ROAS · subscription rate · geo lift | Dutchie · Treez · Flowhub |
| 05 · Political | Voter file + ballot intent survey + donor list | Recall lift · intent shift · donor CPA · GOTV | L2 · TargetSmart · proprietary |
| 06 · Conventional | Sales lift + multi-touch journey + repeat rate | ROAS · CPA/CAC · retention · LTV | NielsenIQ · LiveRamp · MMM |
Fig. 003003Partners
Built on open infrastructure.
NielsenIQ
Dutchie
Drizly
Flowhub
Treez
LiveRamp
Foursquare
Placer.ai
InMarket
L2
TargetSmart
TransUnion
A note on AI
AI is our command center — directing data and optimizations in real time. Proprietary models automate bidding, targeting, and creative optimization within the SENSE ecosystem.
We don't sell AI as a feature. We use it where it earns its keep: where the decision space is wide, the signal is dense, and the cycle is too fast for a person to optimize meaningfully. Everywhere else, our humans win.
Next steps