Know when a UK household is ready to buy what you sell.
Moving in. New baby. Renovating. A child starting school. Empty-nest upgrades. Data Bank carries the address-level signals that tell you the week to mail, not just the postcode. Describe the household to the conversational AI. The audience builds itself. You pay only for the addresses you mail.
- Address-level signals: planning consents, life-stage events, affluence shifts
- Audiences built in plain English by conversational AI
- Pay per address record used
By the time a postcode-level audience reaches your CRM, the moment to mail has often passed. Buying a static dataset means paying for a snapshot of the country, refreshed annually, with no way to know who is in market today.
Direct mail is back, because the alternatives stopped working.
Online ad spend is up. Attention is down. Cookie restrictions and browser tracking limits have eroded the targeting data digital marketers used to rely on. Multi-device behaviour fragments what data remains. Reaching the right person, on the right channel, at the right time has become harder and more expensive on every digital surface.
Direct mail done well is one message, in one place, at the right time.
The doormat is uncrowded. The household has time to read. The timing is yours to set. That last part is where Data Bank wins.
Reach UK households at every stage of the buying window.
Four stages, each with address-level signals Data Bank flags as they happen. Map your existing campaigns onto these in seconds.
Just moved in
0–3 months since the address registry change. New occupants need everything. Connections, insurance, decorating, gyms, takeaways, garden improvements. Three to six months of buying decisions sit in this window.
Planning a change
Life-stage signals and planning consents. A child due. A child starting school next September. A planning application submitted. Decisions households plan months in advance, before the spend appears in anyone’s data.
In market
Active life event or renewal window. A new baby has arrived. A child starts school this term. An energy contract is up. The household is in the buying window this month.
New chapter
Household composition or affluence change at a long-held address. A child has left for university. A property has revalued upward. A divorce, a remarriage, an inherited estate. The household is a different prospect to the one your file held last year.
Reach the households at the moments that matter.
A few examples. Build your own in chat.
Second-home owners planning a refurb
Solar installers, glaziers, premium kitchen-makers find these households through planning-consent signals on properties they own but do not live in.
Households starting a family
Pram and car brands, nursery furniture, insurance and life cover, subscriptions parents do not cancel for years. Reach them before the first baby arrives.
Children starting school soon
Uniform, after-school clubs, tutoring, sports gear, premium provider switches. Year-cohort signals at primary (age four) and secondary (age eleven) transitions.
Households mid-renovation
Home improvement, interior design, premium decorating, conservatories, flooring. Active planning consents show you the live projects, not last year’s.
High-affluence households new to your area
Premium retail, heritage brands, local services. Welcome them onto your mailing list before the chain alternative finds them.
Empty-nest households with new disposable income
Holidays, car upgrades, kitchen and garden investment, charity giving. The last child has just left. The household is spending differently now.
Describe the household. The audience builds itself.
- Stage 1
Decide on your target
You describe the household you want to reach.
- Stage 2
The audience is created
The conversational AI builds the audience from UK address-level data, scored against your description, and shows you the matching count.
- Stage 3
The data is refined
Refine in chat, see the count change, decide which addresses to mail. No SQL. No warehouse. No analyst between you and the segment.
Pay for the addresses you use. Not for the dataset.
Most UK consumer data is sold as a huge file, bought annually or quarterly. You pay for everything you do not use, and you pay analysts to build segments from the raw rows.
Data Bank inverts both halves. You build the segments in chat. You pay only for the addresses you actually mail.
And no Elevate subscription required. Data Bank works on its own.
See pricingPay per address record. No minimum commitment.
Filter to criteria you know convert.
Audience updates automatically when something changes.
You mail a household at an address. You never receive a named individual, an email address, a phone number, or any other piece of personally identifiable information. There is no consent file to indemnify and no PII to lose. The data is built from open UK records and our own segment models. Compatible with standard UK direct-mail compliance practice.
I spent fifteen years buying static UK datasets, paying analysts to build segments from them, and watching the audience go stale before we could mail it. Data Bank is the version I always wanted: describe the household in plain English, the audience builds itself, you pay only for the addresses you actually use.
Describe your customer. Get the audience.
Sign up, describe your best household to the conversational AI, watch the matching addresses appear. Pay only for the ones you decide to mail.