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Know which accounts are your most profitable. And where to win more like them.Not an account list. The segments behind your revenue.

Persona Identification turns your pipeline and customer signals into predictive account segments. It resolves every account against firmographic and regional attributes, then synthesises the segments that move revenue, each ranked by the contribution margin it carries. Collect the signals, predict the segment, activate it across your channels. Customer value tells you what an account is worth. Identity tells you who they are.

Persona Identification · account segmentsDemonstrative data
Account segments · tiles sized by margin, coloured by how far they over- or under-index vs your book
Enterprise Anchors2.6x$1.9M CM
Mid-Market Growers1.6x$1.3M CM
Regional Repeat1.3x$880k CM
Public & Education1.0x$610k CM
Project One-Offs0.8x$320k CM
Price-Led Tenders0.4x$140k CM
Over-indexes (≥1.3x)~ Book parityUnder-indexes (<0.7x)
Each tile is an account segment. Enterprise Anchors are a fraction of your accounts but carry the most margin and over-index 2.6x, the clearest signal of where your profitable revenue sits and which accounts to pursue next.
Account archetypes
6
across your book
Firmographic attributes
40+
industry, size, region
Your account segments
6
synthesised from signals
Accounts profiled
84%
resolved to a segment
Top segment, margin share
31%
of contribution
Strongest over-index
2.6x
vs your book
Audit-grade analytics from the award-winning team behind 100+ operators
What it answers

Who your best accounts are, beyond a revenue number.

The identity behind the book: which account types carry your margin, who your segments really are, and how to win and grow each one.

01
Who are our best accounts, beyond what they billed?
Every account resolved against firmographic attributes and synthesised into account segments, so your book reads as real types of customer, not an average.
02
Which account types actually carry our margin?
Every segment ranked by the contribution it holds and how far it over- or under-indexes against your book, so the profitable types are obvious.
03
Which industries and regions look like our best?
A look-alike read across the firmographic mosaic: the high-margin segments where your penetration is still small, the clearest target list you have.
04
What should we pitch, and to whom?
Each segment arrives with the attributes that define it and the signals behind it, so sales and marketing pursue the right accounts with the right offer, not a guess.
05
Which accounts will expand, and which will leave?
Identity describes who to pursue. Read alongside the Customers view, expansion and churn signals show which segments compound and which quietly attrite.
06
How do we actually grow each segment?
The signals knowable early, onboarding depth, multi-product adoption and first-project size, read per segment, so each one comes with the move that lifts retention, not just a label.
The segment lens

See which account types carry your margin.

Every account is resolved against firmographic attributes, industry, size, region and buying pattern, and grouped into account segments. Each is ranked by the contribution it carries and how far it over- or under-indexes against your book, so you see exactly where your profitable revenue sits, and the high-margin types you have barely won.

  • Indexed to your book. Over and under-index against your real account base, not a flat average
  • Attribute-resolved. Industry, size, region and buying pattern, not a hand-built list
  • Headroom to pursue. The high-margin segments where your penetration is still small
See your segments
Over / under-indexDemonstrative data
Account segments · margin index vs your book (parity = 1.0x)
Enterprise Anchors
2.6x
Mid-Market Growers
1.6x
Regional Repeat
1.3x
Public & Education
1.0x
Project One-Offs
0.8x
Price-Led Tenders
0.4x
Enterprise Anchors and Mid-Market Growers carry your margin and over-index well above your book, so they are both who to keep and the blueprint for who to pursue. Price-Led Tenders under-index; the same read tells you where not to chase work.
Inside a segment

Open any segment, see what defines it.

A tile is a door. Open one and you see the attributes that actually make that segment, industry, headcount, region, deal size, multi-product adoption and tenure, each as a share of the segment and indexed against your book. It is how a label like Enterprise Anchors becomes a profile your sales team can pursue.

  • Share and index. Every attribute as a share of the segment and over-index vs your book
  • The attributes that matter. Industry, size, region, deal value, tenure
  • From label to profile. A segment you can brief and target, not just name
See a segment opened up
Enterprise Anchors · profile vs bookDemonstrative data
The attributes that define this segment, share and over-index
AttributeShareIndex
Infrastructure / industrial58%1.8x
200+ headcount64%2.3x
Metro-based61%1.4x
Multi-product72%2.1x
Avg deal $120k+55%2.4x
Tenure 3yr+67%1.9x
Enterprise Anchors skew large, metro, multi-product and long-tenured, each attribute well above your book. That profile is what your sales team pursues, and what you prospect for in look-alike accounts.
Your segments

Your book, synthesised into predictive segments.

On top of the attributes sits the synthesis: your own account segments. Each arrives audience-ready, the margin index it carries, the attributes that define it, the work it tends to win and the regions it lives in, blending firmographic signals with how accounts actually buy. It is the bridge from an attribute to a target list you can activate.

  • Profile, not a label. A signal-backed segment your team can pursue
  • Margin-true. Each segment ranked by the contribution it carries, not account count
  • Ready to activate. Every segment exports to your CRM and ad channels
See your segments
Your account segmentsDemonstrative data
Account segments · who they are and the margin they carry
Enterprise Anchors
12% of book31% of margin2.6x index
Large, multi-year, multi-product accounts. Highest margin, deepest expansion signals.
Mid-Market Growers
18% of book24% of margin1.3x index
Expanding mid-market accounts, multi-project. The clearest expansion play.
Regional Repeat
15% of book16% of margin1.1x index
Steady repeat by region. Reliable margin, strong referral signals.
Referral-Led
11% of book12% of margin1.1x index
Won through referral and reputation. High win rate, low acquisition cost.
Single-Project
22% of book10% of margin0.5x index
One-off scopes, low repeat. The segment to nurture toward a second engagement.
Price-Led Tenders
22% of book7% of margin0.3x index
Won on price, thin margin. Large headcount, low return on sales effort.
Each segment blends firmographic attributes with real pipeline signals and carries its own margin index, win pattern and region. Drill in for the full profile, the expansion mix, and the channels to activate it across.
Expansion signals

What actually makes an account grow.

Identity tells you who to pursue. It does not, on its own, make an account expand, and we are honest about that. The signals that predict expansion and lifetime margin are knowable early: how big the first project was, and how deep the onboarding went. Read per segment, each one arrives with the move that lifts retention.

  • First-project size. The single biggest predictor of expansion and lifetime margin
  • Onboarding depth. Multi-product adoption versus single-scope churn risk
  • Per segment. The signal read for each segment, so the play is specific
See your expansion signals
First-project size vs expansionDemonstrative data
Expansion rate by first-project size · share placing a second engagement
< $10k
14% expand
$3.1k CM
$10–50k
28% expand
$11k CM
$50–150k
46% expand
$38k CM
$150k+
63% expand
$96k CM
Firmographics rank last. Industry, size and region barely move expansion, accounts that grow and accounts that stall look firmographically near-identical. They start with a bigger first project and a deeper onboarding, not a different industry. So we use identity to describe and pursue, and the behavioural signals, first-project size and onboarding depth, to actually grow each segment.
Where the numbers come from

Collect the signals. Predict the segment. Activate it.

Identity is built from your own first-party signals, pipeline and deal history, the account's firmographics and region, resolved against public attributes and ranked on real contribution. A segment-level read, used to describe and pursue, never to target an individual.

Signals we collect

Every deal, stage, source and close per account, the first-party pipeline signals that ground each segment in how accounts actually buy, not a survey or a guess.

HubSpotSalesforcePipedrive

Attributes we resolve

Each account resolved against firmographic and regional attributes, industry, size, location and buying pattern, so identity is grounded in real account character.

FirmographicsRegionIndustry

Segments you activate

Cost feeds rank each segment on the margin it carries, then every segment exports to your CRM and channels, ready to activate for acquisition or expansion.

Cost feedsCRM syncEmail / ads
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.

Blufire is trusted by 100+ mid-market and enterprise operators and recognised across the APAC and Global Search Awards. The same people now model your margin.

100+
Operators served
$5M-$1B
Turnover served
4
Industry awards
100 Fast StartersAPAC Search Awards 2025 WinnerGlobal Search Awards 2025 FinalistGlobal Agency Awards 2025 Finalist
Questions

The things buyers ask.

An account segment is a predictive grouping of your customers built from first-party signals: pipeline and deal history, firmographic attributes (industry, size, region), and the contribution margin each account carries. We resolve every account against those attributes, then synthesise the segments that actually move revenue. It is the identity layer for a service business: who your best accounts are, not just what they billed last quarter.
Customers models the economic life of each relationship: churn risk, expansion, what each one is worth. Persona Identification is the identity read above it: which types of account carry your margin, which industries and regions look like your best, and which segments to pursue and activate. Value tells you what an account is worth. Identity tells you who they are. They pair.
No. This is a segment-level read used to describe your base and prospect for more like your best, never to target an individual. It runs on your own first-party pipeline and customer data, resolved against public firmographic and regional attributes.
Yes. Every segment is ready to activate: export it to your CRM, your email and SMS tools, or your ad platforms to run a look-alike acquisition or expansion play. We hand you the audience and the move; you stay in control of what sends.
Identity describes who to pursue. The signals that actually predict expansion and retention are knowable early: onboarding depth, multi-product adoption and first-project size. We read those per segment, so each one arrives with the move that lifts retention, not just a label.
Your CRM and pipeline (deals, stages, sources, close dates), your customer and revenue records, and your cost feeds so each segment is ranked on real contribution margin. Most of it is already in the systems you run; onboarding is days, not a data project.

See who your best accounts really are.

Connect your CRM and your costs. We resolve your book against firmographic attributes, synthesise your account segments, and hand you the segments to pursue and the move to grow each one.

01

Connect your CRM

Deals, stages, sources and accounts. No data team.

02

Resolve your book

Each account matched to firmographic attributes.

03

Predict the segments

Account segments, indexed to your book.

04

Rank on margin

Each segment ranked by the contribution it carries.

05

Pursue & activate

Look-alike accounts, segments exported to your CRM.

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