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DealPotential
The mid-market PE deal sourcing landscape is evolving fast. Traditional networking and cold outreach are no longer enough.
This case shows how one European mid-market PE fund used DealPotential to double its qualified deal flow in 90 days without adding headcount.
Private equity teams often rely on fragmented databases and personal networks. That’s time-consuming, reactive, and often misses high-potential founder-led companies.
This fund faced three key challenges:
Limited visibility into private company signals
Long research cycles before contacting targets
Missed early-stage opportunities before processes began
They needed speed, precision, and verified data not another generic company list.
The fund adopted DealPotential to combine AI-driven intent signals with verified private company data.
Here’s how:
Using Predictive AI-Signals, they identified companies showing early indicators of capital need or potential exit intent months before competitors.
Within the Company Data module, they refined targets by revenue range, ownership type, and industry, ensuring alignment with their investment mandate.
Daily updates and automated watchlists kept their sourcing team ahead of new opportunities.
This dual approach AI for prediction, data for qualification transformed how they built their pipeline.
Within three months, the fund reported a 110% increase in qualified deal flow and a 60% faster conversion from outreach to first meeting.
Even more importantly, three off-market companies entered LOI all detected first through DealPotential’s predictive signals.
The results proved that proactive sourcing powered by verified data delivers measurable ROI.
DealPotential gives private equity investors a data advantage in sourcing.
Instead of waiting for intermediated processes, they can anticipate them.
Key advantages:
Detect “likely-to-sell” companies 6–8 months before the market
Validate targets with revenue, ownership, and sector data
Save hundreds of hours in manual research and outreach
For mid-market PE teams, this means scaling sourcing capacity without adding analysts and building a proprietary deal pipeline powered by AI.
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