The Problem with Most ICPs
Most Ideal Customer Profiles are built on intuition. Someone in a conference room says "we sell to mid-market SaaS companies" and that becomes the target. But intuition doesn't answer the questions that matter:
- Which segments have the highest lifetime value?
- Where do we have the best win rates?
- Which customers churn fastest (and why)?
- Are we targeting segments we can't actually serve well?
- Where should we focus limited marketing budget?
Without data, you're optimizing for the wrong customers—wasting budget on segments that churn and ignoring segments that would stick.
What We Analyze
We examine your customer data across multiple dimensions to find patterns that predict success:
Industry, company size, growth rate, funding stage, geographic footprint
Sales team size, RevOps maturity, marketing team presence, technical resources
CRM platform, marketing automation, data tools, integration complexity
Sales cycle length, deal size, buying committee structure, expansion patterns
Metrics We Calculate
For each segment, we calculate the metrics that actually matter for your business:
We analyzed 315 deals across 5 dimensions and discovered that a single variable—RevOps team size—predicted 4x differences in customer lifetime value. The "2 RevOps" segment had 25% churn while other segments churned at 48%+.
Read the Case StudyWhat You Get
Segment Performance Analysis
Clear breakdown of how each customer segment performs across LTV, churn, win rate, and deal size. See exactly which segments are profitable and which are destroying value.
Prioritized Target Segments
Ranked list of segments to pursue, with the math behind each recommendation. We show you where to focus and where to avoid.
Budget Allocation Recommendations
Specific guidance on how to allocate marketing spend across segments based on expected ROI, not gut feel.
Retention Insights
Analysis of churn patterns by segment, with recommendations for segment-specific retention programs.
Segments to Avoid
Explicit list of segments where you're losing money—and why. Sometimes the best strategy is knowing where not to play.
How It Works
- Share your data — Customer list, closed deals (won and lost), revenue data, and any CRM exports you have.
- We clean and enrich — Fill in missing firmographic data using our 50+ data sources.
- AI analyzes patterns — Our models identify which variables predict customer success.
- You get actionable insights — Clear recommendations with the data to back them up.
Who This Is For
- Series A/B startups — Define your ICP with data before you scale
- CMOs and Marketing Leaders — Focus budget on segments that actually convert and retain
- RevOps teams — Build data-driven lead scoring and routing
- Sales Leaders — Give your team clear, defensible targeting criteria
- Founders preparing for fundraising — Show investors you know exactly who your customer is
Pricing
ICP Analysis projects start at $2,500 for companies with 100-500 customers. Larger datasets and more complex analyses are priced based on scope.
Most analyses delivered within 2 weeks