AI Lead Machine for Debt Collection Agencies & Litigation
Identify SMEs with overdue invoices and outstanding debts. Detection of financial signals, late filings and gazette publications.
Ce que vous gagnez concrètement
Les 3 blocages de croissance du Debt Collection & Litigation
- 1Hard to identify SMEs with bad debt before they act themselves
- 2Competition from online platforms (Hoist Finance, Lowell, Cabot)
- 3Decision-makers (CFOs, directors) protected by gatekeepers and switchboards
Comment l'AI Lead Machine y répond
- SME financial signal detectionCompanies House, Gazette, returned cheques, late accounts filings, CFO/credit manager hires — the AI detects SMEs in cashflow crisis.
- Targeting by debt typologyB2B / B2C differentiation, invoices <£10k vs >£50k, international claims, court proceedings. Each pitch adapts process and commission terms.
- Urgency + no-upfront approachUSP messaging: 'Recover without paying upfront, AI + bailiff partners, results or nothing'. Converts massively vs competitors who require deposits.
Debt collection agency · London (8 staff)
Before Lead-Gene: 12 mandates/month via SEO + referrals. After 90 days: 49 mandates/month signed, average claim £8,400, recovery rate 71%.
RecovPro Cabinet
Paris · PME (8 collaborateurs) · Déploiement 90 jours
12 mandats/mois via SEO + apport historique, concurrence des plateformes digitales comme GCollect.
Lead-Gene a détecté les PME en crise de trésorerie (BODACC + Pappers + Ringover) avec messaging USP 'sans avance, résultat ou rien' et approche urgence.
“Les DAF qu'on cible ont un problème urgent. Notre pitch 'sans avance, résultat ou rien' convertit immédiatement. Lead-Gene nous a mis face aux bons profils.”
K.L., Directeur, RecovPro Cabinet
Frequently asked questions
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