/ Chapter 07 · Real examples

EXAMPLES

River data is not the data every brand already checks.

It is not search behaviour, social listening, CRM, web analytics, or standard campaign reporting.

River data is the outside world moving around the brand: aircraft signals, road damage, wildlife counts, flight cancellations, transport systems, infrastructure data, and live operational context.

These real examples show how organisations used unexpected external signals to create sharper decisions, stronger ideas, and more useful brand actions.

Illustrated scene of a child pointing up at a British Airways plane flying above city rooftops.

/ Fig. 01 — British Airways

/ Case study 01

British Airways

River data used: Live aircraft movement data.
What happened: The "Magic of Flying" campaign used live aircraft data to trigger digital billboards when BA planes flew overhead. The billboards showed a child pointing up at the real plane, with dynamic flight information connected to the aircraft passing above the viewer.
Why it matters: The campaign did not rely on normal audience targeting. It used a live physical signal from the sky.
Trees and Rivers point: The tree was British Airways' flight network. The river was live aircraft movement above real people.

Illustrated scene of a delivery vehicle on a suburban road marked with potholes.

/ Fig. 02 — Domino's

/ Case study 02

Domino's

River data used: Road damage and pothole conditions.
What happened: "Paving for Pizza" connected pizza delivery quality with damaged roads. The campaign offered grants to repair potholes and cracks in local roads, turning public infrastructure into part of the brand experience.
Why it matters: The data signal was not media data. It was the condition of the roads between the store and the customer.
Trees and Rivers point: The tree was Domino's delivery experience. The river was local road quality.

Illustrated scene of endangered species arranged around a Lacoste-style polo shirt.

/ Fig. 03 — Lacoste

/ Case study 03

Lacoste

River data used: Wildlife population counts.
What happened: "Save Our Species" replaced the crocodile logo with endangered species on limited-edition polo shirts. The number of shirts produced for each species matched the number of known remaining individuals in the wild.
Why it matters: The campaign used conservation data, not fashion data, to shape the product idea.
Trees and Rivers point: The tree was Lacoste's iconic polo and logo system. The river was endangered species population data from the outside world.

Illustrated scene of a rainy airport at night with a hotel nearby.

/ Fig. 04 — Red Roof Inn

/ Case study 04

Red Roof Inn

River data used: Live flight cancellation data.
What happened: Red Roof Inn used live flight cancellation data to reach stranded travellers near airports. Custom flight-tracking technology processed cancellation data, then automatically adjusted mobile search bids and ad copy for people likely to need a hotel.
Why it matters: The signal was not hotel search behaviour alone. It was a real-world disruption creating immediate need.
Trees and Rivers point: The tree was Red Roof Inn's airport hotel footprint. The river was live disruption across the aviation system.

Illustrated scene of a UPS delivery route across a stylised map.

/ Fig. 05 — UPS

/ Case study 05

UPS

River data used: Route, vehicle, stop, and delivery movement data.
What happened: UPS developed ORION, a route-optimisation system for delivery drivers. The system uses analytics to improve route planning, reduce miles, save fuel, and support more efficient delivery operations.
Why it matters: This is River data at an operational level. The outside world is not just a media trigger. It is roads, stops, routes, timing, vehicle movement, and delivery constraints.
Trees and Rivers point: The tree was UPS's delivery network. The river was the live and historical movement system around every route.

/ Want more

SEE THE FULL
river in motion.

Request the framework Read River Signals