After a decade managing Google Ads, I built an AI agent that works like a senior media buyer. It handles the tedious repetition so you can focus on strategy. Here is what it does: • Scans live data to queue exact, ready-to-deploy fixes for your review. • Features a chat assistant to troubleshoot and build full campaigns. • Automates client-ready reporting and strict budget pacing. • Requires your explicit approval for every single change. I'm saving hours a week. Try it free for 90 days.
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Maker
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Hey everyone, I'm Ryan!
I spent years trying to find the ultimate Google Ads tool, but every platform I tried served up recommendations that just didn't work for real-world account scaling. They never optimized the way I wanted them to.
I built PPC Tuner to fix that, and to kill the need for multiple subscriptions. Here's what PPC Tuner brings to your stack:
• Smart Optimizations: AI recommendations that actually make sense, waiting for your one-click approval. Don't like a recommendation? No problem, you can refine it in-app with AI or decline it. The system will learn based on your feedback, and continue to make better recommendations.
• Chat with Your Data: Use the conversational AI Assistant to uncover trends, optimize accounts, or build full campaigns from scratch just by typing what you need.
• Client-Ready Reporting: A fully customizable reporting dashboard (with reports you can export to XLSX or PDF) and automated executive summaries that you can export directly to clients, eliminating the need to pay for a separate reporting tool.
• Automated Budget Pacing: Continuous pacing monitor flags underspend and overspend across every campaign, with safety caps that act before month-end.
To give everyone a real shot to see the value firsthand, I'm offereing a 90-day free trial. Hook up an account, get a full quarter of PPC Tuner powered by Gemini 3.1 Pro (hopefully 3.5 pro soon...) analyzing your account, and let me know what you think. Give me the good, bad, and the ugly.
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The approval flow sounds solid, but adding a quick "explain why" button next to each suggested change would be huge. Sometimes the recommendation is right but I'd love context on the data pattern that triggered it, especially when I'm handing reports off to clients who always ask how I know.
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Maker
@ekin1365035 Thanks for the amazing feedback! I just implemented this.
The approval flow sounds solid, but adding a quick "explain why" button next to each suggested change would be huge. Sometimes the recommendation is right but I'd love context on the data pattern that triggered it, especially when I'm handing reports off to clients who always ask how I know.
@ekin1365035 Thanks for the amazing feedback! I just implemented this.