Welcome 👋 This community is about one thing: using AI to make your Amazon PPC sharper, faster, and more profitable. Not theory. The actual moves that move ACOS, TACOS, and profit. I'll keep this first post simple. If you've heard "AI for PPC" thrown around but don't know where it actually fits, here are a few ways claude is already changing how good advertisers work and how you can start this week. 1. Bid & budget decisions at a scale you can't do by hand Manually, you can review maybe a few dozen keywords with real attention. Claude AI can sit on top of your full account, watch every keyword, target, and placement, and flag exactly where you're overspending and where you're leaving sales on the table daily, not weekly. Start here export your Search Term Report and your Targeting report, and ask an AI to find your highest-spend, zero-sale terms and your best converters that are under-bid. That one pass usually surfaces money you're losing right now. 2. Search term mining and negative keywords on autopilot The slowest, most tedious part of PPC is reading hundreds of search terms to decide what to scale and what to kill. Claude reads the whole report in seconds, clusters terms by intent, and tells you what to graduate into exact-match campaigns and what to negate before it drains budget. Start here: feed it last 30 days of search terms and ask it to group them into "scale," "watch," and "negate." You'll get in 30 seconds what normally takes an afternoon. 3. Reporting and "what changed and why" in plain English Most sellers stare at dashboards and still can't answer "why did ACOS jump last week?" Cloud can compare periods, find the campaigns and ASINs driving the change, and explain it like a human so you spend your time deciding, not digging. Start here drop in two weeks of campaign data and ask "what changed week over week and what's the likely cause?