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BoilerTag
For Insurance Companies

We know what boiler they have. We reach them when they're thinking about it.

Engineers tag boilers during routine service. Homeowners scan the QR code to check their service history. At that exact moment — when they're actively engaging with their boiler — your offer is right there.

boilertag / scan-event
> make: Worcester Bosch
> model: Greenstar 30i
> install_date: 2018-03-14
> age: 7.9 years
> last_service: 2025-01-22
> status: service due
> scan_event: homeowner — 2026-02-16
> attention_context: active engagement

0M

UK homes with gas boilers

0

Boiler-level data today

0%

Active attention per scan

0x

Relevance vs display ads

boilertag / insured-boiler
> make: Unknown
> model: Unknown
> age: Unknown
> last_service: Unknown
> condition: Unknown
> risk_data: none
The Problem

You insure boilers you know nothing about

Your customers have boilers. You don't know the make, the age, the service history, or the condition. You're pricing risk with almost no data.

The Channel

A moment-of-attention channel

Every scan is a homeowner actively engaging with their boiler. Compare that to a banner ad they scroll past. The attention is real, and it's relevant.

  • Homeowner initiates the interaction
  • Context: they're thinking about their heating
  • Your offer appears alongside service history
boilertag / channel-comparison
> display_ad_ctr: 0.35%
> email_open_rate: 21%
> boilertag_scan: 100% attention
> context: active boiler engagement

How BoilerTag works for insurers

01

Tag

Gas engineers stick a BoilerTag on boilers during routine annual services. The engineer registers the boiler details — make, model, age, condition notes.

boilertag / registration
> engineer: Dave Mitchell — GS-281943
> property: 14 Maple Road, Leeds
> make: Vaillant ecoTEC Plus
> install_date: 2019-06-10
> status: registered
02

Scan

Months later, the homeowner scans the tag. Maybe they heard a noise. Maybe they're checking when the last service was. Either way, they're actively thinking about their boiler.

boilertag / scan-event
> scanned_by: Homeowner
> timestamp: 2026-02-16 09:14
> context: checking service history
> attention: active
03

Surface

At that moment of attention, relevant offers appear alongside the service history. Boiler cover. Emergency insurance. Targeted by boiler age, condition, and service history — not by postcode.

boilertag / offer-placement
> boiler_age: 6.7 years
> last_service: 11 months ago
> offer_type: boiler breakdown cover
> relevance: high — ageing unit, service due
boilertag / lead-qualification
> boiler_age: 9.2 years
> warranty_status: expired
> last_service: 14 months ago
> scan_frequency: 2nd scan this quarter
> lead_score: high — no active cover
The Outcome

Qualified leads, not cold traffic

A homeowner scanning their ageing boiler with no recent service is a warmer lead than anything your paid channels produce. You know what they have and you know they're paying attention.

  • Target by boiler make, model, and age
  • Reach homeowners at the moment of engagement
  • Data-driven lead qualification

Stop guessing who has a boiler. Start reaching them when it matters.

There are 22 million gas boilers in UK homes. Until now, you had no way to know which ones your customers have, how old they are, or when they last had a service.

BoilerTag changes that. We'll walk you through the data, the channel, and the unit economics.