Most B2B Teams Segment Customers Wrong - Lets Help You Fix It
Feb 6, 2026
Peter Tullin Partner at Fraymwerk
Your sales team treats every prospect the same.
Your marketing sends identical messages to completely different buyers.
Your customer success team uses one playbook for customers with wildly different needs.
At Fraymwerk, we see this pattern constantly when working with B2B and B2G commercial teams: they know segmentation matters, but they either don't do it at all, or they segment based on surface-level criteria that don't actually drive decisions.
The result? Wasted sales cycles. Generic marketing that converts poorly. Customer churn you could have prevented.
This isn't a data problem. It's a segmentation problem.
Here's how to build a customer segmentation strategy that actually improves your commercial performance.
Why Most Segmentation Fails
Before we get into what works, let's address why most segmentation efforts fall flat:
1. Segments are too broad "Enterprise" and "SMB" isn't segmentation. Neither is "Industry A" and "Industry B." These categories are too generic to drive meaningful differences in how you sell, market, or support.
2. Segments don't map to behavior Demographic data tells you who your customers are. It doesn't tell you how they buy, what they value, or when they're ready to move forward. Behavioral patterns do.
3. No one actually uses the segments You run a segmentation project. You create beautiful personas. Then... nothing changes. Sales still pitches everyone the same way. Marketing still sends batch-and-blast emails. The segments live in a deck, not in your CRM or marketing automation.
Let's fix this.
The Four Types of Customer Segmentation That Actually Matter
1. Demographic Segmentation
Start here, but don't stop here.
Demographic segmentation organizes customers by company size, industry, role, geography, and budget range. This is table stakes for B2B segmentation.
What it's useful for:
Qualifying inbound leads quickly
Setting appropriate pricing and packaging
Tailoring sales materials to company context
What it misses:
Urgency and buying intent
Internal decision dynamics
Strategic priorities that drive purchases
2. Behavioral Segmentation
This is where segmentation starts creating real value.
Behavioral segmentation looks at what customers do: which content they consume, how they engage with your product during trials, which features they use most, how often they log in, and what triggers them to take action.
What it's useful for:
Identifying buying signals and warm leads
Personalizing outreach based on demonstrated interest
Predicting churn before it happens
Building targeted nurture sequences
Example: A prospect who downloads your ROI calculator, attends a webinar on implementation, and requests a custom demo is signaling very different intent than someone who just subscribed to your newsletter.
3. Value-Based Segmentation
Not all customers are worth the same effort.
Value-based segmentation identifies your highest lifetime value customers and focuses resources accordingly. This includes factors like average deal size, expansion potential, retention rates, and cost to serve.
What it's useful for:
Prioritizing which deals to chase
Allocating account management resources
Designing loyalty and expansion programs
Understanding which segments fund your growth
Reality check: Your top 20% of customers likely generate 60-80% of your revenue. Are you treating them differently than the bottom 20%?
4. Needs-Based Segmentation
This is the hardest to build, but often the most powerful.
Needs-based segmentation clusters customers by the problems they're trying to solve and the outcomes they care about. Two companies in the same industry and size category might have completely different buying criteria depending on their strategic priorities.
What it's useful for:
Crafting messaging that resonates
Structuring discovery conversations
Positioning against competitors
Designing product roadmaps
Example: One SaaS buyer might prioritize speed to deployment because they need a quick win. Another prioritizes deep integration because they're replacing a legacy system. Same product, completely different sales approach.
How to Build a Segmentation Strategy That Drives Results
Here's the process we use at Fraymwerk when helping clients design their segmentation strategy:
Step 1: Define What Success Looks Like
Before you segment, get clear on what you're optimizing for.
Are you trying to:
Increase conversion rates from marketing qualified leads?
Reduce sales cycle length?
Improve customer retention?
Identify expansion opportunities faster?
Your segmentation strategy should directly support these goals.
Step 2: Collect the Right Data
You can't segment based on data you don't have.
Start with what's already in your CRM: company demographics, deal history, product usage, support interactions, and engagement patterns.
Then identify gaps. If you're trying to segment by buying intent but don't track which content prospects consume, you have a data collection problem to solve first.
Don't overcomplicate this:
Start with 3-5 key attributes per segment type
Focus on data you can reliably capture and maintain
Prioritize behavioral signals over self-reported preferences
Step 3: Create Segments That Are Actionable
Good segments meet three criteria:
1. Distinct: Clear differences in behavior, needs, or value between segments 2. Substantial: Large enough to justify different treatment 3. Addressable: You can actually reach and serve them differently
If your segment is "high-value prospects in the Nordics who care about sustainability and have annual revenue between €5M-€50M and are currently using a competitor solution," you've over-segmented. Make it simpler.
Step 4: Map Segments to Commercial Actions
This is where segmentation becomes operational.
For each segment, define:
Marketing approach: Which channels, messages, and content?
Sales motion: What's the qualification criteria and process?
Pricing strategy: Standard, custom, or tiered?
Success strategy: High-touch, tech-touch, or hybrid?
If you can't answer these questions, your segment isn't useful yet.
Step 5: Build Feedback Loops
Segmentation isn't static.
Review your segments quarterly:
Are customers still behaving as predicted?
Are some segments growing or shrinking?
Are win rates improving for targeted segments?
What are sales and CS teams learning in the field?
The best segmentation strategies evolve based on what's actually working.
Common Objections to Segmentation
"We're too small to segment." Wrong. If you have more than 50 customers, you have patterns worth understanding. Start simple: divide customers by value and engagement level. That alone will improve how you allocate time.
"Our customers are all unique." No, they're not. Every B2B buyer thinks their situation is special. Your job is to find the patterns underneath the surface differences.
"Segmentation slows us down." Only if you overcomplicate it. A simple segmentation model implemented consistently beats a sophisticated model that no one uses.
"We don't have the data." Then start collecting it. You don't need perfect data to begin segmenting. Start with what you have and improve over time.
The Commercial Impact of Better Segmentation
When segmentation is done right, the results show up across your commercial engine:
Marketing sees:
Higher email open and click rates
Better qualified leads entering the pipeline
Lower cost per acquisition
More efficient budget allocation
Sales sees:
Shorter sales cycles for well-matched prospects
Higher win rates on targeted segments
Clearer qualification criteria
More relevant conversations with prospects
Customer Success sees:
Lower churn in high-value segments
More predictable expansion patterns
Better resource allocation
Proactive intervention on at-risk accounts
Most importantly: your customers get a better experience because you're not treating them like everyone else.
From Insight to Action
Customer segmentation isn't about creating personas for your wall. It's about building commercial systems that treat different customers differently in ways that drive better outcomes.
The hard part isn't understanding segmentation concepts. The hard part is:
Deciding which segments actually matter for your business
Collecting and maintaining the data to support those segments
Operationalizing segmentation across marketing, sales, and success
Building the discipline to treat segments differently
That's where most teams get stuck.
This is exactly where Fraymwerk helps B2B and B2G commercial teams.
We work with your sales and marketing functions to:
Design segmentation models that map to your commercial motion
Implement segmentation in your CRM and marketing automation
Build targeting strategies for high-value segments
Train teams to sell and market differently based on segment
Create feedback loops that keep segmentation accurate over time
This isn't consulting where we hand you a deck and leave. We embed with your team to build the systems, run the plays, and transfer the capability.
Want to move from generic marketing and sales to targeted, segment-driven commercial execution?
Thomas Overholt Hansen | thomas@fraymwerk.com | +45 3160 6016
Peter Tullin | peter@fraymwerk.com | +45 6147 1234
We'll tell you if segmentation is your highest-leverage move right now - and if it's not, we'll point you to what is.
Peter Tullin, Partner at Fraymwerk
With 20+ years of experience across B2B, B2C, and SaaS, Peter has led marketing and commercial transformation in highly competitive, technology-driven businesses, holding executive roles with full P&L responsibility.
He specialises in turning complex products and digital strategies into scalable growth by combining strategic leadership with hands-on execution, data, and automation.
Peter@fraymwerk.com
Direct: +45 6147 1234





