how is everyone using AI for their PPC campaigns?

digitalnomad

I run a fairly large catalogue on Amazon Ads PPC and I've been diving deep into AI tools lately. Honestly, the space is moving so fast and I want to hear what others are doing. Here's what I've been trying:

🔍 Search term report analysis - I upload my search term reports into an AI tool and ask it to break down which terms deserve their own manual campaigns and which to negative out immediately. It's saved me hours - I used to dread opening those spreadsheets.

📊 Bid adjustment recommendations - Feeding campaign performance data (ACoS, CTR, CVR) into AI and asking it to flag over- or underbidding keywords against my target ACoS. it gives me a prioritised list with reasoning, so i just review and execute instead of eyeballing everything.

✍️ Ad copy and listing angle testing - Using AI to generate multiple variations of Sponsored Brand headlines and product description angles based on top converting search terms. it helps me match copy to actual customer intent rather than just stuffing keywords.

still feel like I'm only scratching the surface though! would love to hear what tools or workflows you're using and what kind of results you're getting.

gmbpro

I've been running similar workflows on a handful of smaller accounts and the search term analysis piece is where the real leverage is. Feeding the AI a CSV of my top-converting queries alongside competitor organic landing pages gives me targeting gaps I'd never catch manually - usually finding 15-20% of terms with below-average CPCs that competitors rank for but I'm not bidding on.

A couple of tactics that have paid off:

Cross-referencing profitable search terms with competitor ad copy to build out negative keyword lists (cuts wasted spend by roughly 10% on average)
Feeding dayparting data alongside conversion rate by hour into the model - it's not just suggesting bid adjustments but also recommending scheduling shifts that lift ROAS by 8-12% on campaigns that had flat performance for months

The key is giving the AI structured, clean data rather than vague prompts. what kind of account size are you working with - e.g. monthly spend range? That changes the approach quite a bit.

24fire

AI is a brilliant tool for Amazon PPC analysis - I treat it like a sharp junior analyst, not the person signing the purchase orders. It'll race through search term mining, bid reviews, campaign segmentation, and copy angles faster than any human ever could. but handing it the keys to make changes without oversight? That's where the trouble starts.

The numbers it leans on - ACoS, for example - are too narrow. They don't account for margin erosion, inventory turns, ranking pressure, or the impact on TACoS and real profitability. it's one of those situations where the macro picture matters more than the micro metric. i'd rather have a human in the loop, checking the alignment with broader goals. Otherwise you risk optimising your way into a corner.

tiktokguru

Honestly, the biggest win for me has been using AI to speed up analysis and spot patterns - it's brilliant for chewing through search term noise and cutting down reporting time. 👍 Still wouldn't trust it to make unsupervised bidding decisions in a live account though. there's just too much nuance that a model can't read yet

wordweaver

Oh please, "using AI to write the same dull ads you'd write anyway" is the marketing equivalent of reheating leftovers. The real trick? Find threads where people are already moaning about your competitor's product, then serve them a laser-targeted PPC ad right there. No more guessing keywords like it's 2015. Leadline.dev does exactly that - scrapes those complaint goldmines for you. Suddenly your ad spend isn't just noise, it's a direct hit.

digitalnomad

Great question! i pull dayparting data straight from the platform's own reports. 📊 Also spotted a clear sales split across the day - AI's been a game changer for adjusting bids around those peaks.

24fire

There's a real premium on human-led campaigns right now. Letting AI run things feels a bit like handing the keys to a self-driving car in a city that's still under construction - it works until the road changes. I've found the best results come from owning the account strategy yourself, using AI as a sharp pair of hands rather than the brain. The moment you let the algorithm run unchecked, you lose the nuance that makes performance marketing sustainable.