--- Discover how a B2B SaaS company generated 1,200 qualified leads monthly, reduced CAC by 70%, and increased conversion by 280% using AI automation. ## The Initial Situation An HR software SaaS company was spending $15,000 a month on LinkedIn ads with a Cost per Lead (CPL) of $150. Unsustainable. The leads that came in were cold and the sales team wasted time contacting people who weren't interested. ## The Strategy: "Hyper-Personalized Outbound" Instead of massive ads, they switched to an **AI-powered Outbound Marketing** strategy. ### Step 1: Lead Identification (Clay.com) They used Clay to scan LinkedIn and find companies that: * Were actively hiring (a sign of growth). * Were using competitor software (a technological signal). ### Step 2: Data Enrichment AI analyzed the latest news from each target company. Did they receive investments? Did they launch a product? ### Step 3: Hyper-Personalized Copywriting Using GPT-4, they generated emails that started like this: *"Hi [Name], I saw that you just opened a position for [Position]. This usually involves challenges with [Specific Problem]. At [Our Company] 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 Mass personalization is the Holy Grail of B2B. AI allows you to treat 10,000 potential customers with the same care and detail that you could previously only dedicate to 10. ---