🤖 AI Ad Copy: Flawless Results? 🚀

A process for generating ad copy with AI: build a detailed customer avatar with product details and pain points, feed it to the model with targeting info (cold/warm/hot audience, platform), and get copy tailored to where prospects are in the funnel.
Chapters
And from my experience of running it this way, the copy is almost flawless. This is exactly how I'm writing ads right now, but also building the logic into my AI. So for you, if you have your own eyes, you're doing your own prompts, you're doing your own GPTs, all that kind of stuff, it's not good enough to say, hey, as a act as a Facebook advertiser and write me copy for a cold audience, a warm audience, a hot audience, go one level deeper and be a lot more specific on your product and service. So what I do, for example, is I build an avatar. I upload that to the AI so it has context. So who's, who's being targeting the what the pain points, who are we actually trying to sell to? And what is the product service? What is the pain point that we're trying to attach to? And then going into, where are they in terms of the market stage as well? So it's not just, I want a cold, warm and hot ad, where are they and how can we speak to them specifically, whether it's on matter or YouTube. And then the AI has a lot more specific context to then come up with the copy that we need. And from my experience of running it this way, the copy is almost flawless. And it's all because of this logic and this kind of heavy lifting that goes into the background to make sure that the copy is right for your prospect at the right time of where they are in their funnel.
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