Customer Centric Solutions LLC · Segmentation

Segment by job.
Target by attribute.

Stop segmenting for reach. Start segmenting for decisions.

Most segmentation tells you who the customer is. Job-based segmentation tells you why they're buying right now. That's the difference between writing messaging people ignore and messaging that immediately feels relevant.

JobsReveal demand.
AttributesHelp you reach it.

The whole page in three rows

Three questions. Three different tools.

You want to know…Use…What it earns you
Who should we target?Firmographics & demographicsReach
Why will they buy?Jobs-to-be-DoneProduct-market fitLanguage-market fit
How do we reach them?Marketing channels & targetingDistribution

Product-market fit

Does the progress you enable match progress someone is actually struggling to make? Jobs tell you whether the thing you built is wanted — by whom, and under what circumstance.

Language-market fit

Do you describe that progress the way they do? Switch interviews hand you the customer's own words for the struggle. Borrowed language is why technically accurate messaging still lands flat.

Most teams have the first row and the third. The middle row is the only one that produces fit of either kind — and it's the one most segmentation models leave out.


Hold everything constant except the struggle

Same profile. Different job.

01 — Consumer · Smart thermostat

Same citySame incomeSame houseSame thermostat

Traditional segmentation puts them in one segment. Job-based segmentation doesn't.

Homeowner A

Just received an electricity bill that jumped after a utility rate increase. They're trying to reduce monthly energy costs.

They're buyingLower utility bills

Homeowner B

Has spent the last six months connecting the house — smart locks, doorbell, lighting. The beige thermostat in the hallway is now the last analog thing on the wall. They're trying to bring the home up to date.

They're buyingA home that feels current

A message about payback period sounds irrelevant to the second buyer. A message about design and integration misses the first.

02 — B2B SaaS · CRM

Same industrySame ARRSame employee countSame CRM

What attribute segmentation sees

Two software companies, matched on every variable in the model: industry, revenue band, headcount, current stack.

They receive the same campaign, the same demo script, the same onboarding sequence.

One segment.

What job segmentation sees

One has just hired its first outbound sales team and needs a repeatable sales process before growth stalls. It's hiring a CRM to create process.

The other has doubled headcount and leadership no longer trusts pipeline forecasts, because every team uses the CRM differently. It's hiring a CRM to restore operational trust.

Two segments.

Both evaluate the same vendors. Both buy CRM software. But they respond to entirely different positioning, compare different alternatives, and measure success differently.

03 — B2B AI · Series A

Same fundingSame headcountSame AI budgetSame vendor shortlist

Traditional segmentation puts them in one segment. Job-based segmentation doesn't.

Company A

Deploying agents to deflect repetitive support tickets. Success is measured in cost per resolution and deflection rate.

Hiring AI forOperational efficiency

Company B

Deploying agents to enrich accounts so AEs walk into meetings prepared. Success is measured in cycle length and win rate.

Hiring AI forRevenue growth

Same category, same shortlist, opposite jobs. Treat them as one market and your messaging goes generic. Understand the job and you know which outcomes matter, which competitors you're compared against, and what evidence they need before they buy.

The difference isn't who they are. It's the progress they're trying to make.

Why this keeps happening

Attributes describe the buyer, not the buying situation.

Most GTM teams build segments from industry, company size, revenue, persona, role, and tech stack. Those variables are useful — but not one of them explains why someone is looking for a solution today.

That's why positioning, messaging, onboarding, and roadmap priority stay contested internally. Without a model of why anyone buys, every one of those arguments comes down to whoever is most senior in the room.

Two methods, two questions

They aren't competing. They're answering different things.

Conventional segmentationJob-based segmentation
Who are they?What progress are they trying to make?
What company do they work for?What changed?
What role do they have?Why are they looking now?
What software do they use?What are they comparing you against?
How do we reach them?What should we say?

Division of labour

Use each for what it's good at.

Attribute segmentation

Answers: Who can we reach?

Excellent for

  • Media buying
  • Territory design
  • Lead lists
  • Pricing tiers
  • TAM analysis

Cannot tell you

Why people switch, or what message will resonate when they do.

Job-based segmentation

Answers: Why do customers buy?

Excellent for

  • Positioning
  • Messaging
  • Product strategy
  • Onboarding
  • Sales conversations
  • Customer success

Cannot tell you

Where to advertise, or which accounts exist to advertise to.

One creates the message.
The other delivers it.

Downstream effects

What changes when you segment around jobs.

01

Messaging becomes contextual.

People respond to their situation, not their demographics. Name the struggle a buyer is actually in and relevance stops being something you argue for.

02

Competitors become visible.

Customers compare ways of making progress, not products. Sometimes the competitor is Excel. Sometimes it's doing nothing — and that one never shows up in a competitive matrix.

03

Product opportunities become measurable.

Desired outcomes expose which segments are underserved and which are overserved. Roadmap calls stop being a contest of conviction.

04

Every function gets a shared customer model.

Marketing, Sales, Product and Customer Success working from one definition of value instead of four competing ones.

05

Segments stay stable.

People change. Companies change. Titles change. The struggle stays remarkably consistent — which is why job segments outlast the demographics built on top of them.

The inverse

And if you skip it?

Teams without a job model don't have a segmentation problem. They have a positioning problem they keep trying to solve with better targeting — which is why the lists get cleaner and the reply rates don't move.

See the order ↓

The framework

The correct order.

Most teams do steps 3 and 4 and skip the first two entirely. That's why they can find more people and still can't tell them anything useful.

Step 1

Discover jobs through switching interviews.

Talk to people who recently switched. Reconstruct the timeline of the struggle, not their opinion of your product.

Step 2

Define job segments around shared struggles.

Group by the progress being sought and the circumstance that triggered it — not by who the buyer happens to be.

Step 3

Profile each segment using firmographics, demographics and technographics.

Now the attributes have a job to do: describing what the members of each job segment tend to look like.

Step 4

Use those attributes to find more people like them.

Targeting, lists, territories, media. The same tools you were already using — now pointed at a segment defined by demand rather than by convenience.

Jobs tell you what creates demand. Attributes tell you where to find more of it. High-performing GTM teams use both — in that order.

Where to start

You can run step one this month.

Ten switching interviews with recent buyers will tell you more about your positioning than another quarter of persona work. The B2B Customer Intelligence Sprint is built to get you from interviews to a defensible job-segment map — and to the messaging that follows from it.