Stop chasing coverage and start chasing conversion. Propensity modeling helps you prioritize the accounts most likely to buy.
After building 100+ models, we've found:
Most teams are sitting on data that's never been turned into insight. We combine your data with 28+ data sources to give you a competitive edge.
We find the accounts in your total addressable market who are most likely to become high-value customers
By looking at each sales rep's territory we can help you to balance territories against real buyers
We turn your CRM into a prioritisation engine and feed this data into our AI-powered dialer
A data-driven approach to account prioritization. Click each step to explore our methodology.
Unified intelligent dataset
We unify CRM, marketing, and enrichment data into a single intelligent dataset. No more data silos—everything in one place, ready for analysis.
Pull historical win/loss data and account attributes
Engagement signals, campaign performance, and behavioral data
28+ data sources including firmographics and technographics
Testing hundreds of predictors
We define and test hundreds of potential predictors—from company growth rates to tech stack density to cyber staff composition.
Company size, revenue, growth rate, industry classification
Tech stack composition, technology adoption patterns
Website visits, content downloads, engagement intensity
Statistical correlation
Our models use advanced ML algorithms to find and validate which variables statistically correlate with conversion.
Choose the right ML approach for your data patterns
Identify which signals matter most for your ICP
Test against holdout data to ensure accuracy
Ranked for win probability
The result: a ranked list of accounts and territories optimized for focus, efficiency, and win probability.
0-100 score for every account in your TAM
Detect imbalance and optimization opportunities
Understand which segments have highest conversion potential
Always ahead of market changes
As markets shift, we retrain the model to stay predictive—keeping your go-to-market motion ahead of change.
Incorporate new win/loss data to improve accuracy
Track changes in signal effectiveness over time
Continuous refinement of your ideal customer profile
Most revenue teams chase coverage. We help you chase correlation—with measurable results that transform go-to-market efficiency.
Propensity modeling uses proven data science and machine learning to predict which accounts are most likely to convert—and why. It cuts through the noise to reveal the patterns that matter, bringing precision to account prioritization, territory design, and ICP definition.
Stop wasting resources on low-propensity accounts. When you know which accounts to prioritize, every motion—from SDR outreach to marketing spend to territory allocation—works harder and delivers higher returns.
Average improvement in sales efficiency
Reduced sales cycle through sharper focus
Unified operating model for marketing and sales
From data to deployed coverage model
When prioritization is backed by data, efficiency follows.
Propensity Modeling isn't just a sales tool; it's a marketing accelerator.
It helps your team:
Target the right audiences
Personalize campaigns based on real buying signals
Allocate spend to high-likelihood segments
Build brand presence where pipeline potential is highest
Marketing and sales finally operate from the same data playbook and the same definition of "best account."
Every market leaves clues. Propensity Modeling helps you read them.
Is a cyber staff in the top 10% a positive signal—or a sign of internal competition?
Does high technology correlation indicate readiness or redundancy?
Are you over-invested in markets that look big but don't buy?
We translate questions like these into data-backed answers—so your decisions are driven by evidence, not instinct.
