--- Discover how a B2B SaaS company generated 1,200 qualified leads per month, reduced CAC by 70%, and increased conversion by 280% using AI automation. ## The Initial Situation An HR software SaaS company was spending $15,000/month on LinkedIn Ads with a Cost Per Lead (CPL) of $150. Unsustainable. The leads were cold, and the sales team was wasting time contacting uninterested people. ## The Strategy: "Hyper-Personalized Outbound" Instead of mass ads, they opted for an **AI-powered outbound marketing** strategy. ### Step 1: Lead Identification (Clay.com) They used Clay to scan LinkedIn and find companies that: * Were actively recruiting (a sign of growth). * Were using competing software (a technological sign). ### Step 2: Data Enrichment The AI analyzed the latest news from each target company. Did they receive an investment? Did they launch a product? ### Step 3: Hyper-Personalized Writing Using GPT-4, they generated emails that started like this: *"Hello [Name], I saw that you just opened a position for [Poste]. This usually implies challenges with [Problème Spécifique]. At [Notre Entreprise], we help manage..."* It didn't seem automated. It looked like a 15-minute manual search. ## The Results * **Volume:** 1,200 qualified leads generated per month (compared to 100 with Ads). * **CAC:** Reduced from $150 to $45. * **Conversion:** The response rate increased from 1% to 8%. ## Conclusion Massive personalization is the Holy Grail of B2B. AI makes it possible to treat 10,000 prospects with the same attention and detail that was previously reserved for 10.