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Know who your customers are in life, not just what they spend.Two geodemographic lenses, your own lifestyle audiences.

Persona Identification geocodes your base to its neighbourhood, places every customer in a national demographic mosaic and a value-climate lens, then synthesises your own lifestyle audiences, each carrying real contribution margin. It is the identity read: who your customers are, where they live, and which neighbourhoods look like your best. Segmentation tells you what state a customer is in and what they are worth; identity tells you who they are. They pair.

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Persona Identification · the MosaicDemonstrative data
Demographic mosaic · tiles sized by margin, coloured by how far you over- or under-index vs the national population
Urban Professionals2.1x$214k CM
Aspirational Families1.6x$148k CM
City Singles1.3x$96k CM
Established Suburbs1.0x$71k CM
Regional Retirees0.8x$44k CM
Rural Families0.5x$22k CM
Over-indexes (≥1.3x)~ National parityUnder-indexes (<0.7x)
Each tile is a national demographic type. Urban Professionals are a fraction of the population but carry the most margin and over-index 2.1x, the clearest signal of where your profitable customers actually live and who to prospect next.
Demographic types
12
across 6 communities
Value-climate types
6
psychographic lens
Your lifestyle audiences
7
carved from your base
Base geocoded & placed
78%
mapped to a neighbourhood
Top audience, margin share
24%
of contribution
Strongest over-index
2.1x
vs national population
Margin intelligence from the award-winning team behind 100+ brands
What it answers

Who your customers are, beyond a spend number.

The identity behind the base: which neighbourhood types carry your margin, who your audiences really are, and how to grow each one.

01
Who are our customers in life, beyond what they spend?
Every customer geocoded to their neighbourhood and placed in a national demographic typology, then carved into lifestyle audiences, so your base reads as real people, not an average.
02
Which neighbourhood types actually carry our margin?
Every demographic type ranked by the contribution it holds and how far it over- or under-indexes against the national population, so the profitable types are obvious.
03
What should we say and sell to each audience?
Each lifestyle audience comes with its taste, the categories it over-indexes on, and its front-door versus repeat basket, so creative and merchandising are grounded, not guessed.
04
Which neighbourhoods look like our best but we barely reach?
A lookalike-headroom read across the national mosaic: the high-margin types where your penetration is still tiny, the clearest prospecting list you have.
05
Does who they are actually make them loyal?
Honestly, no. First-order size and entry product drive repeat; area wealth, age and education barely move it. Identity tells you who to reach and what to say, not what makes them stay.
06
How do we actually grow each audience?
The levers knowable at acquisition, first-order size and entry product, read per audience, so each one comes with the move that lifts repeat, not just a label.
The mosaic lens

See which neighbourhood types carry your margin.

Every geocoded customer is mapped to a national demographic typology, twelve types across six communities, built on the free 2023 census. Each type is ranked by the contribution it carries and how far it over- or under-indexes against the national population, so you see exactly where your profitable customers live, and the high-margin types you have barely reached. A second value-climate lens reads the same base on values and lifestyle.

  • Indexed to the nation. Over and under-index against the real population, not your own average
  • Two lenses. Demographic mosaic plus a value-climate read of why they buy
  • Headroom for prospecting. The high-margin types where your penetration is still small
See your mosaic →
Over / under-indexDemonstrative data
Demographic types · margin index vs national population (parity = 1.0x)
Urban Professionals
2.1x
Aspirational Families
1.6x
City Singles
1.3x
Established Suburbs
1.0x
Regional Retirees
0.8x
Rural Families
0.5x
Urban Professionals and Aspirational Families carry your margin and over-index well above the national population, so they are both who to keep and the blueprint for who to prospect. Rural Families under-index, the same read tells you where not to spend.
Inside a type

Crack open any type, see what defines it.

A tile on the mosaic is a door. Open one and you see the categories that actually make that type, age, income, education, location and life-stage, each as a share of the type and indexed against the national population. It is how a label like Urban Professionals becomes a profile you can write creative against and prospect on.

  • Share and index. Every category as a share of the type and over-index vs the nation
  • The categories that matter. Age, income, education, location, life-stage
  • From label to profile. A type you can brief and prospect, not just name
See a type cracked open →
Urban Professionals · profile vs nationalDemonstrative data
The categories that define this type, share and over-index
CategoryShareIndex
Age 25–3964%1.9x
Income $100k+52%2.1x
Tertiary educated71%1.8x
Inner-city metro58%2.3x
Renting / apartment47%1.6x
Professional occupation63%2.0x
Urban Professionals skew young, high-income, tertiary-educated and inner-city, each category well above the national rate. That profile is what you brief creative against and what you prospect for in lookalike neighbourhoods.
Your audiences

Your base, carved into lifestyle audiences.

On top of the two lenses sits the synthesis: your own six-to-eight lifestyle and life-stage audiences. Each arrives as a marketer-ready story, who they are, the margin they carry, the categories they reach for and the regions they live in, blending neighbourhood character with how they actually buy. It is the bridge from a census type to a campaign you can run.

  • Story, not a label. A narrative profile you can brief creative against
  • Margin-true. Each audience sized by the contribution it carries, not headcount
  • Mapped to both lenses. Every audience tied to its demographic type and taste
See your audiences →
Your audiencesDemonstrative data
Lifestyle audiences · who they are and the margin they carry
Urban Explorers
14% of base24% of margin
Inner-city professionals, early adopters. Premium and small-batch taste, Auckland-led.
Established Homemakers
16% of base21% of margin
Settled suburban families. Core range and bundles, steady repeat, nationwide.
Coastal Lifestylers
11% of base15% of margin
Regional, leisure-led, higher discretionary spend. Seasonal and gifting peaks.
Occasion Gifters
9% of base11% of margin
Buy for others around key dates. Time outreach to their gifting windows.
Young Singles
13% of base9% of margin
Urban, price-aware, entry-product led. The audience to nurture toward a second order.
Value Seekers
19% of base9% of margin
Promo-responsive, broad regional spread. Large headcount, thin margin per head.
Each audience blends neighbourhood character with real buying behaviour and carries its own margin, taste and region. Drill in for the full story, the loyalty mix, and the demographic and value-climate types it maps to.
Acquisition signals

What actually makes a customer loyal.

Identity tells you who to reach and what to say. It does not, on its own, make someone loyal, and we are honest about that. The levers that actually predict repeat and lifetime margin are knowable at the first order: how big that first basket was, and which product brought them in. Read per audience, each one arrives with the move that lifts repeat.

  • First-order size. The single biggest predictor of repeat and lifetime margin
  • Entry product. Loyalty-positive front doors versus high-churn novelty buys
  • Per audience. The lever read for each audience, so the play is specific
See your acquisition signals →
First-order size vs repeatDemonstrative data
Repeat rate by first-order size · share placing a second order
$0–50
18% repeat
$84 CM
$50–100
31% repeat
$176 CM
$100–200
44% repeat
$348 CM
$200+
61% repeat
$612 CM
Demographics rank last. Area wealth, age and education barely move repeat-purchase, loyalists and one-timers are demographically near-identical. They buy a slightly bigger basket, not a more loyal one. So we use identity to describe and prospect, and the behavioural levers, first-order size and entry product, to actually grow each audience.
Where the numbers come from

Built on your store, your geography and true profit.

Identity is built from real orders, the customer's neighbourhood and the public census, ranked on real contribution. An area-level read, used to describe and prospect, never to target an individual.

◇Orders & behaviour

Every order, product and timing per customer, so audiences are grounded in how people actually buy, not a survey or a guess.

ShopifyWooCommerceBigCommerce

⌖Geography & census

Each customer geocoded to their neighbourhood and mapped to the free 2023 census typology, plus a value-climate lens, so identity is grounded in real area character.

Geocoding2023 CensusValue-climate

↗True cost & audiences

COGS, shipping and fees rank each audience on the margin it carries, and every audience exports to your email tool to activate.

Cost feedsKlaviyoEmail / SMS
Every figure is reconcilable to its source, an identity read a CFO signs off.
The team behind it

Built by an award-winning analytics team.

Margin OS comes from Blufire, trusted by 100+ mid-market and enterprise brands and recognised across the APAC and Global Search Awards. The same people now model your margin.

100+
Brands served
$5M-$1B
Turnover served
4
Industry awards
100 Fast StartersAPAC Search Awards 2025 WinnerGlobal Search Awards 2025 FinalistGlobal Agency Awards 2025 Finalist
The rest of the picture

Identity pairs with everything else.

Every part of the business, denominated in the same contribution margin. Identity tells you who; segmentation tells you what they're worth.

Executive Margin Read →
Where profit landed and the move to make.
Unit Economics →
Where true margin is made and lost.
Discounting & Promo →
The true cost of every discount.
Customer Value & Segmentation →
What state each customer is in and what they're worth.
Persona Identification ◆
Who your customers are and where to find more.
Acquisition & Activation →
Which products acquire customers, and the audiences to act on.
Products & Inventory →
Score every SKU on margin.
Creative Analytics →
Creative resolved to the profit it brought in.
Questions

The things buyers ask.

We geocode each customer to their neighbourhood, place them in a national demographic typology built on the free 2023 census (twelve types across six communities) and a value-climate lens, then synthesise your own lifestyle audiences by blending that neighbourhood character with how each customer actually buys. Every audience is ranked on the contribution margin it carries.
No. The signal is area-level, the character of the neighbourhood a customer lives in, not a profile of the individual. We use it to describe your audiences and to prospect lookalike neighbourhoods, never to target a single person by their demographics.
Honestly, no, and we say so. Area wealth, age and education barely move repeat-purchase; loyalists and one-timers are demographically near-identical. The levers that actually drive repeat are behavioural, first-order size and entry product. Identity tells you who to reach and what to say; behaviour tells you what makes them stay.
Segmentation is the behavioural and financial lens: RFM, lifecycle state and lifetime value, answering what state a customer is in and what they are worth. Persona Identification is the identity lens: who they are in life, where they live and what to say. They are orthogonal and pair, an RFM segment cuts across every lifestyle audience.
No. Identity is built from your store orders, the customer's geography and the public census. No ad connection is required.
Describe each audience in real terms, tailor creative and merchandising to their taste, prospect the high-margin neighbourhoods you have barely reached, and grow each audience with the right acquisition lever. Every audience exports to your email tool. You approve and send; we never touch your store.

See who your customers really are.

Connect your store and your costs. We geocode your base, place it in the demographic and value-climate lenses, carve your lifestyle audiences, and hand you the neighbourhoods to prospect and the audiences to activate.

01

Connect your store

Orders, products and timing. No data team.

02

Geocode your base

Each customer mapped to a neighbourhood and census type.

03

Build the lenses

Demographic mosaic and value-climate, indexed to the nation.

04

Carve your audiences

Lifestyle identities, each ranked on the margin it carries.

05

Prospect & activate

Lookalike neighbourhoods, audiences exported to send.

Book a demo ↗Talk to an analyst