Stop Guessing. Start Closing
Your sales team spends 60% of its time on companies that will never buy. Our machine learning model identifies the company profiles where you win most.
We do two things:
1. Identify the company profiles where you win most
Using your historical CRM data and machine learning, we uncover the segments with the highest win-rate.
2. Allocate each new company to the seller most likely to close it
Every new lead is scored and routed based on predicted win probability.
Higher win-rate. Same number of leads.
Identify Your Ideal Win Profiles
We analyze your historical CRM data to uncover:
Which company profiles convert at the highest rate
Which seller performs best with which type of company
What actually predicts a won deal — not assumptions
Outcome: A clear, data-backed map of where you win.
Match the Right Lead to the Right Seller
Using machine learning, we calculate a win probability for every new lead — per seller.
Instead of distributing leads randomly, we:
Score each company
Predict seller-level success probability
Route the lead to the highest-probability match
Outcome: Higher win-rate from the same number of leads.
Win More Every Month
Sales patterns evolve. So should your model.
Our propriety model continuously:
Re-trains on new CRM data
Improves prediction accuracy
Refines seller-profile matching
Outcome: A system that gets smarter as you sell.
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About us & Contact
Swobuzo was founded by two Aalto University colleagues who, after years in the industry, recognized that small to mid-cap companies weren’t getting the solutions they truly needed. Drawing on our professional experience, we set out to build something better.
Interested in working together? Share your details and we’ll be in touch soon.