Back
Gino D'Acampo restaurant group campaign
Case Study — Digital Infrastructure · Analytics

Gino
D'Acampo

We built a cross-domain attribution system from scratch — closing the loop between paid media spend and confirmed restaurant bookings across a closed third-party engine, and surfacing £100K+ of annual media waste in the process.

£100K+ Media Savings Attributed
0 Development Budget Required
Full Funnel Visibility Achieved
Attribution Analytics Cross-Domain Tracking Hospitality Digital Infrastructure

The Gino D'Acampo restaurant group wasn't short of marketing activity. Paid campaigns were live, budget was moving, tables were being booked — but nobody could connect one to the other with any confidence.

The root cause sat in the plumbing: reservations ran through a third-party booking engine on a separate domain, and attribution died at that boundary. The moment a diner clicked through to book, the media stack lost sight of them completely.

The challenge

Every budget decision was a guess dressed up as a metric. Clicks, sessions and enquiries stood in for the only number that mattered — confirmed bookings — and the relationship between spend and revenue was invisible.

The fix came with two hard constraints: no development budget, and no changes to the third-party booking engine. Either requirement would have stalled a conventional project indefinitely.

The approach

The solution combined UTM architecture, tag-management configuration and custom analytics instrumentation into a tracking layer that followed diners across the domain boundary — tying each confirmed booking back to its originating source, campaign, ad set and creative.

What the group got was something it had never had: a dashboard drawing a straight line from media spend to confirmed covers at every restaurant in the estate. Which campaigns filled tables — and which quietly burned budget — was finally visible.

The result

The numbers were stark: more than £100,000 of annual media spend was flowing into campaigns with no demonstrable link to bookings. Redirecting it to proven performers improved efficiency immediately, without any additional spend.

The deeper value was operational. With real bookings data in the stack, every subsequent media decision optimised toward covers rather than proxies — a permanent upgrade to how the business read its own performance. It's the clearest illustration of media infrastructure versus media buying — and exactly the kind of measurement work we build for hospitality and multi-location brands in North America.

Can't see what your spend is doing?

Get in touch →