I Tested 900 AI Offers: Here's What Actually Worked episode artwork

EPISODE · Jul 1, 2026 · 13 MIN

I Tested 900 AI Offers: Here's What Actually Worked

from The Value Engine · host Nico Hartwell

Most AI entrepreneurs are throwing money at offers that'll never work. They copy what they see online, launch generic chatbot services, and burn through their savings wondering why nobody's buying. But what if someone actually tested the market? What if they ran 900 different AI offers and tracked exactly which ones made money? That's exactly what happened. One entrepreneur spent months testing everything from AI writing tools to custom automation services. The results? Brutal honesty about what works and what's just wishful thinking. In This Episode: > Why 88% of AI offers fail within their first 90 days > The pricing sweet spot that maximizes both conversion and retention > How B2B AI services consistently outperform consumer apps by 3:1 > The specific AI writing niches pulling 15-20% conversion rates > Why most people are targeting the wrong market entirely The data tells a clear story. While everyone's chasing the latest AI trend, the real money sits in unsexy automation that businesses actually need. Nico breaks down the exact offer types, price points, and target markets that separate profitable AI businesses from expensive hobbies. This isn't theory or speculation. These are real numbers from real tests with real customers. Timestamps: 00:00 Introduction and testing methodology 02:15 The 88% failure rate breakdown 04:30 B2B vs B2C performance comparison 06:45 Winning price points and why they work 08:20 AI writing services domination 10:30 Biggest mistakes to avoid 🤖 Follow The Value Engine for daily episodes on AI that actually generates ROI. Nico drops new data-driven insights every day. More episodes available at The Value Engine ------- Keywords: business process automation, automation mistakes, ai implementation, ai entrepreneurship, business automation, automation roi, business ai, business intelligence Learn more about your ad choices. Visit megaphone.fm/adchoices

Most AI entrepreneurs are throwing money at offers that'll never work. They copy what they see online, launch generic chatbot services, and burn through their savings wondering why nobody's buying. But what if someone actually tested the market? What if they ran 900 different AI offers and tracked exactly which ones made money? That's exactly what happened. One entrepreneur spent months testing everything from AI writing tools to custom automation services. The results? Brutal honesty about what works and what's just wishful thinking. In This Episode: > Why 88% of AI offers fail within their first 90 days > The pricing sweet spot that maximizes both conversion and retention > How B2B AI services consistently outperform consumer apps by 3:1 > The specific AI writing niches pulling 15-20% conversion rates > Why most people are targeting the wrong market entirely The data tells a clear story. While everyone's chasing the latest AI trend, the real money sits in unsexy automation that businesses actually need. Nico breaks down the exact offer types, price points, and target markets that separate profitable AI businesses from expensive hobbies. This isn't theory or speculation. These are real numbers from real tests with real customers. Timestamps: 00:00 Introduction and testing methodology 02:15 The 88% failure rate breakdown 04:30 B2B vs B2C performance comparison 06:45 Winning price points and why they work 08:20 AI writing services domination 10:30 Biggest mistakes to avoid 🤖 Follow The Value Engine for daily episodes on AI that actually generates ROI. Nico drops new data-driven insights every day. More episodes available at The Value Engine ------- Keywords: business process automation, automation mistakes, ai implementation, ai entrepreneurship, business automation, automation roi, business ai, business intelligence Learn more about your ad choices. Visit megaphone.fm/adchoices

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I Tested 900 AI Offers: Here's What Actually Worked

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This episode was published on July 1, 2026.

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Most AI entrepreneurs are throwing money at offers that'll never work. They copy what they see online, launch generic chatbot services, and burn through their savings wondering why nobody's buying. But what if someone actually tested the market?...

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