Solutions / Sales & Marketing / Customer Segmentation
Customer Segmentation
A segmentation that cannot be applied to a real account list is an interesting document. The test is whether someone can sort next quarter's targets with it.
Built to be appliedSegments delivered with scoring rules, so they work on your live records rather than the study sample.
Profit, not just revenueSegments measured against true cost to serve, which often reverses which ones look attractive.
Validated, not assertedStatistical testing that segments differ on what matters, not just on how they were built.
In simple terms
You tell us who you sell to. We build segments from real behaviour and economics, check they actually behave differently, and give you the rules to apply them to your own database.
What Customer Segmentation is. Customer segmentation builds actionable segments from behavioural, firmographic and transactional evidence, validates that they behave differently, and delivers the rules to apply them to your existing customer and prospect base.
What makes this different. Most commercial work adds activity. This adds evidence about which activity works, so the same team and the same budget produce more without simply doing more.
What the service covers
These are the areas we work across, such as the ones below. We combine them in the proportion your question needs, and we tell you which ones your question does not need.
Segment development
Segments built on need, behaviour and economics, then tested for whether they are reachable and servable differently.
Profitability analysis
Revenue set against true cost to serve, which routinely reveals that a favoured segment is unprofitable.
Validation
Statistical testing that segments genuinely differ on the variables that matter, rather than on the ones used to build them.
Application rules
A scoring model and field mapping so the segmentation can be applied to your live database, not just to the study sample.
Questions this answers
If something like this is on your agenda, the engagement is already half scoped.
- Which customers are actually profitable once cost to serve is included?
- Which segments should we stop chasing?
- Do our segments behave differently, or do they just look different?
- How do we apply this to the ninety thousand records already in our CRM?
- Which segment should the next product be built for?
How you can use this
A few of the situations where this service does real work.
Unprofitable customers
You suspect some accounts cost more to serve than they return.
Focusing the sales effort
The team treats every prospect the same because nothing tells them not to.
Applying segments to your CRM
A segmentation exists on paper and nowhere in the systems.
Choosing who to build for
The next product needs a defined primary audience.
What changes for your business
The practical difference between running on this and running on what you have now, such as the following.
You see what is actually working
Performance measured to pipeline and revenue, so reallocation decisions rest on evidence rather than on channel fashion.
The same budget produces more
Spend moves to what converts, which usually changes results without changing the total.
Your team spends time on the right accounts
Prioritisation means limited selling hours go where the opportunity genuinely is.
Sales and marketing stop arguing
A shared, evidenced definition of a good lead removes the most common source of friction between the two functions.
Your systems become trustworthy again
Clean, verified, mapped data means reporting people act on rather than question.
It keeps working after we leave
Scoring models, playbooks and processes are handed over so the improvement is repeatable, not a one-off lift.
Who this is for
Roles that commission this work most often include those below. Each asks a different question and gets a different cut of the same evidence.
Sales leadership
Where should the team spend its time, and why there?
Territory and account priority grounded in evidence, with the reasoning attached so reps trust it.
Marketing leadership
Which of our spend is actually producing pipeline?
Performance measured to revenue rather than clicks, with specific reallocation and expected effect.
Revenue operations
Can our systems support the process we are trying to run?
Clean, mapped, validated data that loads into your stack and stays usable.
Business development and partnerships
Who should we be approaching, and with what?
Qualified targets with the context to open a conversation that is not generic.
Commercial and executive leadership
Is our commercial engine improving or just busier?
A clear view of what changed, what caused it, and what to do next quarter-on-quarter.
Typical clients
How we work
The third step is the one that makes the output usable, and it is the one most work of this kind skips.
Understand the decision
We start from what you need the commercial engine to do differently, because that decides what to measure and what to ignore.
Gather and verify
Your own data, external sources and direct verification, with coverage and quality reported honestly rather than smoothed over.
Read it for your position
Your segment, deal size and sales motion decide what a good lead, a good account or a good channel actually looks like.
Hand over something usable
Files mapped to your systems, models your team can apply, and a walkthrough so it gets used rather than filed.
What you receive
Verified dataset or analysis in your preferred format
CRM-ready filemapped to your fields and validated on import
Methodology note covering sourceschecks and coverage rates
Playbook for using the outputplus a walkthrough with the team
Access to Phi, our AI research platformincluded
Every engagement comes with access to Phi. Ask questions of your own findings in plain language, pull the evidence behind any number, and keep querying long after the work is delivered. Your team gets the working intelligence, not just the document.
Open PhiWays to start
Tell us the decision and the date it has to be made by. We will recommend the smallest engagement that gets you there.
Pilot batch
A first tranche of records or analysis, so you can test quality before committing.
Full programme
The complete build, delivered to your CRM or systems.
Continuous refresh
Ongoing enrichment, monitoring and replenishment on a set cadence.
Common questions
How many segments should we have?
Usually four to six. More than that and sales teams stop using it, which makes the extra precision worthless.
Can you apply this to our existing database?
Yes. Delivering the classification rules and applying them to your records is part of the work, not an extra.
Who owns the work?
You do. It is exclusive to you, it is not resold, and working files are handed over unlocked.
Will you sign an NDA?
Yes, before the first conversation if you prefer.
Tell us the decision you are facing
Send us the question, the context and your timeline. You get back a recommended first step, what evidence it needs, and what it costs. Not a capability deck.