--- 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 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 (sign of growth). * Used competitor software (technological signal). ### Step 2: Data Enrichment The AI analyzed the latest news from each target company. Did they receive investment? Did they launch a product? ### Step 3: Hyper-Personalized Copywriting Using GPT-4, they generated emails that started like this: *"Hello [Name], I saw that you just opened a position for [Job Title]. This usually implies challenges with [Specific Problem]. At [Our Company] we help manage..."* It didn't look automated. It looked 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 Mass personalization is the Holy Grail of B2B. AI allows you to treat 10,000 prospects with the same attention and detail that you could previously only dedicate to 10.