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The short answer
A lead-scoring engine ranks every prospect against your buy-box and the signals that predict a deal, so acquisitions works the top of a ranked list instead of a raw feed. It weighs ownership tenure, distress and intent signals, and fit to your criteria, and it updates as new data lands. It is only as good as the data beneath it, which is why it pairs with property enrichment upstream and follow-up sequences downstream.
The signal set is built for your market rather than shipped as a default, and every lead in the pipeline is scored against the same one, so the ranking is comparable across the whole list. As Lucas Eschapasse, CEO of NextAutomation, puts it: “Scoring earns its keep when it changes what your team works first; if the top of the ranked list is not measurably better than a random pull, the model is just decoration.”
Deal & LP Lead Scoring Engine
AI scoring for acquisition targets and LP prospects. Rank deals by fit criteria (cap rate, location, vintage) and qualify LPs by investment profile — so your team works the highest-value opportunities first.
CAPABILITIES
What's included
Deal scoring by fit criteria
LP qualification scoring
Priority routing
CRM integration
Ready to implement this in your firm?
NextAutomation builds this as a custom system tailored to your tools, team size, and investment strategy.