For payment partner acquisition teams
The formula weighs a wide range of factors to predict when a company is likely to enter a payments buying cycle — and surfaces it while the window is still open. Every prospect arrives scored, researched and buyer-named, on a formula that learns from every deal your team closes.
Private workspace · one manager runs the search, issues the list · no autonomous outreach
Vertical SaaS · field service
Reach out now · buyer named · sources cited
Vertical SaaS · practice mgmt
Reach out now · buyer named · sources cited
Vertical SaaS · logistics
Signs showing · buyer named · sources cited
Anyone can find companies already in payments. The formula weighs a wide set of factors to estimate when each one is likely to enter a buying cycle — so you show up months before the decision, not after.
Every prospect arrives scored, with the buyer named, the current provider evidenced, and the estimated payment volume priced at your rates. The pre-call research is already done.
The prediction is driven by data, not a static checklist — and every deal your team wins, loses or skips feeds back in, so the timing gets sharper with every run.
It gets sharper with every deal
The formula reads data across a variety of key factors to predict when a company will likely be entering a payments buying cycle — and every outcome your team logs flows straight back in, sharpening that prediction. Your win-loss history becomes the model. Nobody else has it, and the longer it runs, the further ahead it gets.
Signed, replied, lost, not a fit — every verdict recalibrates how the next prospect is judged.
Your team writes criteria in plain English, and both the search and the scoring follow them.
The patterns that showed up before your past signings are exactly what the search is tuned to catch.
If it can't be evidenced, the account says unknown — and tells you what was checked.