Prove that campaigns drive store visits — and visits drive sales.
Fundle closes the offline attribution loop: campaign exposure → store visit → verified purchase, measured with control groups so marketing finally gets credit for real-world revenue.
bill-level
purchase verification
control
group methodology
8–12x
measured campaign ROI
Section 01
The business problem
Digital campaigns end at the click. When the purchase happens in a physical store, marketing has no proof it worked — so budgets get cut and the loudest opinion wins the planning meeting.
Why existing solutions fall short
- Last-click attribution is blind to offline purchases.
- Footfall counters count bodies, not identified customers.
- Coupon codes only measure the discount-hungry minority.
Section 02
How Fundle solves it
Fundle joins campaign exposure to identified store visits and receipt-verified purchases at member level, with automatic holdout groups — producing a defensible incremental-revenue number per campaign, channel and creative.
01
Identity spine
One member ID connects the ad, the WhatsApp message, the visit and the bill.
02
Visit detection
QR check-ins, Wi-Fi, POS events and receipt geo-validation confirm the store visit.
03
Purchase verification
Receipt-scan or POS data ties campaigns to actual spend, not proxies.
04
Lift reporting
Exposed-vs-holdout dashboards show incremental visits, sales and ROI per campaign.
How it works
From data to outcome — the agentic workflow.
Expose
Campaign delivered to a measurable member audience with a holdout.
Detect
Store visits identified via check-in, POS or receipt signals.
Verify
Purchases confirmed at bill level and joined to the member.
Report
Incremental lift computed vs control — per campaign and channel.
Business impact & ROI
8–12x
proven campaign ROI
+40%
marketing budget defended
100%
campaigns measured vs 0 before
Integrations
FAQ
Footfall-to-Sales Attribution — questions buyers ask.
Does this need mall-wide sensors?
No — attribution runs on member-level signals (check-ins, receipts, POS), which are more accurate than anonymous counting hardware.
How are holdout groups handled?
The platform automatically reserves a statistically-sized control per campaign; lift is reported only when significance is reached.
Can brands and malls both use it?
Yes — brands measure store campaigns; malls measure events, media and coalition promotions with the same methodology.
Get started
See Footfall-to-Sales Attribution on your data.
A 30-minute working session with the Fundle team — mapped to your brand, mall or programme.