Vertical: Luxury and high-consideration retail

Standard attribution doesn’t work on six-figure baskets.

Built for fine jewellery, watches, fashion houses, and the rest of luxury retail.

Low volume, high value, long consideration. The averages your ad platforms bid on don’t tell you anything useful, because your real customers don’t behave like averages. We rebuild measurement so the long sales cycle and the high basket value are first-class citizens, not noise to be smoothed over.

Where standard analytics breaks.

The sample is too small for averages

When a converter is worth GBP 50K and you have 40 a month, no off-the-shelf attribution model is going to give you the right answer.

The path is too long

A 30 to 90 day consideration window blows past most attribution lookbacks.

The conversion event is offline

Boutique visits, private appointments, video consultations: none of them are in your GA4 by default.

What we build for luxury retail.

Causal impact modelling

Not last-click. Not data-driven attribution. Proper causal lift testing for channels and creative.

Server-side rebuild with luxury-grade consent

First-party data preserved, ad-platform signal restored, GDPR-clean.

Boutique and private-appointment signal

Offline conversions, including video consultations and high-touch sales paths, fed back to media in real time.

CRM-to-media match for known customers

Identify your top decile and treat them differently across paid channels.

Worked example

Fine jewellery brand, 100%+ recovered revenue.

A high-end fine jewellery brand was losing more than half of its conversion signal to ad blockers and ITP, despite running a Google-funded ad stack at scale. We deployed Google Tag Gateway under Google’s own funding. Within 30 days, the brand was recovering more than 100% of its previous baseline revenue data, with the recovery holding into the second month.

Figure reflects a recovery study window with a verified one-off data anomaly excluded from the reported uplift.

“We know our customers come back, we know they bring friends, we know they spend big on second visits. None of that is in our paid media reporting.”