AI in PPC: Where It Helps, Where It Breaks, and Where It’s Risky | PPC TH 122

Описание: Host Frederick Vallaeys sits down with Julie Bacchini, PPC consultant, founder of Neptune Moon, and host of PPC Chat, to unpack how AI is really being used in PPC—and where it starts to break down.

They explore where AI and automation genuinely help marketers save time, where Google Ads automation struggles (especially for lead generation), and why data volume, verification, and context matter more than ever. Frederick and Julie also discuss real risks of using AI in PPC, including incorrect data, accountability, and who owns the outcome when AI-generated insights are wrong.

Julie shares practical guidance on using AI cautiously: how to validate AI outputs, why documentation is essential, when to trust automation, and how PPC professionals can use AI as an assistant—without losing control or getting burned.

Follow Julie here:   / neptunemoon  
Follow Fred:   / frederickvallaeys  

Chapters:
00:00 – AI Anxiety in PPC: What This Episode Covers
00:56 – Meet Julie Bacchini + What PPC Chat Is
03:51 – What PPC Pros Are Talking About Right Now (CPCs, Change, Platforms)
06:20 – Is Google Ads Still Safe in an AI-First World? (Gemini, Competition, Ads)
09:05 – AI Max in Google Ads: Early Reactions + “Your Mileage May Vary”
11:17 – Lead Gen vs Ecommerce: Why Google Automation Hits Different
18:41 – Manual Bidding vs Smart Bidding: Tradeoffs (and Why Manual Isn’t Forever)
27:14 – The Real Risk of AI in PPC: Liability, Insurance, and Bad Inputs
31:20 – Verification: Who Double-Checks AI Outputs (Client vs Agency)?
36:05 – How to Validate AI: Ask Questions You Already Know
39:37 – The Practical Workflow Tip: Document Everything (Prompts, Inputs, Outputs)
48:07 – Real Client Example: AI Data You Can’t Verify + Final Takeaways
50:31 – Where to Find Julie + PPC Chat

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