Eric Siu shows how to capture objections from sales calls and feed them into marketing. After 20 calls, an AI flags repeated objections and suggests changes to website pages, ads, and sales materials. A human reviewer approves or rejects each suggestion, and the system learns what works.
Your sales calls should update your enablement material, your briefs, your pages, your ads. And the way to run this is that it will give you all the suggestions. Maybe after 20 sales calls and you're hearing the same objections over and over, you're hearing the same language over and over, maybe it will suggest these changes to be made on XYZ pages on your website or in your app. And then you could go ahead and review them as a human, and then you can go ahead and approve what changes you like, what you don't like. And by the way, whatever you approve, whatever you disapprove, The model will learn over time, the AI will learn over time what your preferences are and what good looks like and what bad looks like over time, right? And so you want it to learn with you, and that's why this is so powerful.
