--- Discover how a B2B SaaS company generated 1,200 qualified leads monthly, reduced CAC by 70%, and increased conversion by 280% by leveraging automation with AI. ## The Initial Situation An HR software SaaS company was spending $15,000 per month on LinkedIn ads and had a Cost per Lead (CPL) of $150. Unsustainable. The incoming leads were cold, and the sales team was wasting time contacting people who weren't interested. ## The Strategy: "Hyper-Personalized Outbound" Instead of mass ads, they switched to an **AI-powered outbound marketing strategy**. ### Step 1: Lead Identification (Clay.com) They used Clay to search LinkedIn and find companies that: * Are currently hiring (growth signal). * Use competitor software (technology signal). ### Step 2: Data Enrichment The AI analyzed the latest news about each target company. Have they received investments? Launched a product? ### Step 3: Hyper-Personalized Creation Using GPT-4, emails were generated that began like this: *"Hello [Name], I saw that you just posted a job for [Position]. This usually brings challenges with [Specific Problem]. At [Our Company] we help to manage these..."* It didn't seem automated. It seemed like 15 minutes of manual research. ## The Results * **Volume:** 1,200 qualified leads generated per month (vs. 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 potential customers with the same attention and detail that one could previously only dedicate to 10.