Lead·Gene

AI Lead Machine for B2B SaaS

Fill your pipeline with qualified tech decision-makers. Targeting by stack, company size, maturity and product intent signals.

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Gains mesurés

Ce que vous gagnez concrètement

+420%
demos booked / month
−72%
CAC
18 d
sales cycle
Vos problèmes actuels

Les 3 blocages de croissance du B2B SaaS

  • 1Long sales cycle, need for consistent volume
  • 2CAC exploding with paid ads
  • 3Junior SDRs burning through the best lists
Notre solution

Comment l'AI Lead Machine y répond

  • Tech stack targeting
    The AI detects companies using compatible stacks (e.g. Stripe, HubSpot, AWS) via Clearbit, BuiltWith and Wappalyzer.
  • Product intent signals
    Funding rounds, tech hiring, mentions of your category on LinkedIn, G2 and Capterra — the AI detects prospects in evaluation mode.
  • Ultra-targeted sequences
    Messages tailored to specific stacks, integrations and use cases. Personalisation at scale impossible to do manually.
Cas client réel

Series B SaaS Scale-up · London

3-SDR team, 180 demos/month target. Before: 62 demos/month, 8% close rate. After 60 days: 312 demos/month, 19% close rate.

+402% qualified demos · CAC reduced by 3.8×
Cas client typique

TechCore SaaS

Paris · PME (20–80 salariés) · Déploiement 60 jours

Problème

Leur pipeline outbound stagnait à 62 démos/mois avec un CAC de 4 800 € malgré 3 SDRs dédiés.

Solution déployée

Lead-Gene a déployé un scoring IA sur 12 critères ICP (stack technique, signaux intent, levée de fonds) couplé à des séquences LinkedIn + email hyper-personnalisées.

IndicateurAvantAprès
Démos qualifiées / mois62274
CAC4 800 €1 250 €
Cycle de vente42 j18 j
Taux de closing8 %21 %

“En 30 jours, l'équipe commerciale avait arrêté de prospecter manuellement. Les démos arrivaient toutes seules, pré-qualifiées.”

J.V., Head of Growth, TechCore SaaS

FAQ B2B SaaS

Frequently asked questions

How does Lead-Gene's AI lead machine work for B2B SaaS?
Fill your pipeline with qualified tech decision-makers. Targeting by stack, company size, maturity and product intent signals. Our AI engine combines scraping, scoring on sector-specific criteria and multichannel sequences (LinkedIn, email, phone) tailored to the B2B SaaS buying journey.
What problem does it solve for B2B SaaS teams?
Long sales cycle, need for consistent volume. We replace fragmented stacks (scraping tool + email tool + manual scoring) with a single sector-tuned engine, fully RGPD/GDPR compliant.
What results can a B2B SaaS company expect?
Average measured impact across our B2B SaaS clients: +420% demos booked / month. +402% qualified demos · CAC reduced by 3.8×.
How fast is the setup for a B2B SaaS business?
Setup in 7 days, first qualified leads from day 10, measurable booked meetings between day 14 and 21. 3-SDR team, 180 demos/month target. Before: 62 demos/month, 8% close rate. After 60 days: 312 demos/month, 19% close rate.

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