PPC & Ads · Podcast episode · source Oct 16, 2026
Daily 5:30 AM PPC Waste Report with Claude Code and the Ad Badger MCP
Get a wasted-spend and Buy Box report in chat every morning without asking
“one brand spent $6,700 on zero-order search terms over 30 days”
Per source From the tool's vendor, not independently tested.
Copy-paste prompt
Build me a daily report that runs at 5:30 AM on my computer and posts to my chat. Write a Python script (don't do the math yourself) that pulls the last 30 days of search terms through my ads data connection and calculates: spend on zero-order search terms and its share of total spend, the last 15 days vs the prior 15, top 10 non-converting search terms and n-grams by spend, and what ACoS would be with no zero-order spend. Then write a short executive summary from the script's output only, and list suggested negatives for me to approve.
The source didn't publish its exact prompt. We wrote this starter so you can try the same workflow. Replace anything in [brackets].
What they did
The host of The PPC Den podcast (Ad Badger) set up a coding agent to run scheduled Python scripts against the Ad Badger MCP before he wakes up. The scripts do the math (zero-order search terms, n-grams, ACoS power ratio, 15-day pace, a counterfactual ACoS with no waste, BSR drops, hijackers, badges, Buy Box suppression), then the AI only writes the summary and posts it to his Google Chat. He can turn the report into ClickUp tasks for his team. He says Claude Code does the heavy lifting, with a local model handling easier work.
How it went
On the anonymized example he showed, the report said one brand spent $6,700 on zero-order search terms over 30 days, 50% of its ad spend, with a current ACoS of 26% against a 12% no-waste benchmark. It also flagged regional Buy Box suppression in Dallas, New York and Miami on a listing with active ads.
We only report what the source says. Results are self-reported unless noted.
Worth knowing
The host works at Ad Badger, which makes the MCP. His key rule: let scripts do the math so the AI isn't calculating on the fly, and start from the report you want, not from a prompt. The computer has to stay awake for scheduled runs.
Original source
Podcast episodeMichael Erickson Facchin (The PPC Den #405) (The PPC Den) https://www.adbadger.com/blog/amazon-ppc-education/530-am-ppc-waste-found-building-an-ai-agent-for-amazon-ppc-the-ppc-den-podcast/Open the sourceAudio-only episode: the link goes to the original episode; quotes were checked against a third-party transcript of it on 2026-10-29.