I have been working on my app Clara and it's been a whirlwind. I started by spending on ads the opposite of what am seeing people say here. At the beginning I started it as a way for people in e-commerce to generate store photos without the hustle of editing then I looked at the numbers. I was using the photoroom API which is amazing because they allow you to do the editing with a simple API request and you can do bulk editing. They are expensive to be honest so I applied to startup got in. Long story short, I saw no one coming in, so I decided to go into AI UGC with multiple niches, ads, books mostly like veed and try and see if I get any traffic..
Still not much right now but I thought I should just write about it and get people's views on how I can get it right..
One of the things I am already trying is, going with the bulk buy where you pay like $5 and do multiple edits without the worry of a subscription.
The first positioning produced little demand, so the pivot makes sense. Have any users shown that the bulk-buy model is what makes Clara worth trying, or is niche demand still the bigger unknown?
I think testing different niches makes sense here, especially since you’re still trying to find where the strongest demand is. I’d focus on which niche shows repeat usage rather than just traffic, because that should give you a much clearer signal on where to take Clara.
Bulk $5 versus a subscription is a pricing test. It will not tell you which product you have. You already learned the hard version of that: Photoroom is good, store photos were the job, and nobody came. "AI UGC, ads, books, multiple niches" is the same offer with the constraint removed, so the numbers stay noisy.
Pick the one output that already has a deadline someone pays for. One ad format, or one marketplace image pack, sold as a finished set, not as edits. Traffic cannot choose the niche for you while the page still claims all of them. Narrow the offer first, then look at the first five buyers' actual files, not the signup count.