Feed 10-20 Reddit threads to Claude to write ads in your audience's words

… the time on research which is i think we're already a lot of this tends to go wrong where people they feel like i want to make an ad so they start going into like a generative ai tool and they start making ads if you want to write empathetic copy that really tailors to like one of your like sub audiences well then you first need to understand well who are these audiences how do they talk how can i attach my product to an existing kind of problem

definition on social media so we need to go in there and figure that stuff out most interesting places for this are reddit from my experience they write anonymously meaning kind of they're gonna be very straightforward and write the way they usually would a lot of people commenting you can have massive threats which gives you an engagement signal of what's important and with LLMs now you can easily kind of feed all of that into like I use Claude mainly to then in the end structure like your research in a way where it's like well across these 10-20 threads that I found

with high engagement find me kind of the most relevant kind of sub audiences based on how they kind of like language patterns pain points desires and like note down any kind of vivid emotional language transformations anything that could be relevant for me as a marketer you said find the vivid emotional language from these reddit posts like the stuff that you're trying to get out really is just the language that the target audience uses to …

… was the kind of the original question like how do we use ai to like fully generate that like the final product but you said that copywriting is kind of like the biggest lever in conversion for app ads so yeah how do you use ai to do copywriting if you've done kind of your copy research and then maybe looked at a few comment sections as well during your visual research which again you can just feed as text blocks into an llm then you can come up

you basically claude is going to have a pretty good understanding of how these people talk and their pain points as we said before i tend to then kind of basically have it structure all of it in a way for example if i then picked my sub audiences and i have maybe five of them then it's like well create like a context file for each of them so that i don't have this massive context of everything I put into Cloud when I write copy. And then the other pieces I want to, of course, have in Cloud so it understands what I'm writing for are one, what's the product this

is for? It's an app. What does it do? What are the features? Anything else that could be relevant for copywriting, for example, like any social proof has this one, any awards, anything you might want to mention in a copy just for it to have the full context on the audience, but also the product you're looking to advertise. And then from there, you can really just go in and prompt it to like ask for well let's write copy for this let's start with like three highly distinct like text hooks like what how can i how can i pitch my product you can start that either from scratch directly just based on the context files or you feed in a competitor reference like if you have

like a text wall from someone else we'll feed that in tell claude well i want to write a text wall like this for my app i think it's fitting how can i kind of use what we've learned about the pain points of my audience and kind of put it in a similar length. The key is context. Like Claude does, or like any LLM is going to do a poor job at copywriting if you do it based off their like default learning, because it's been fed with like all the like …