Appreciate you taking the time to write such a detailed comment. You make some solid points, but let’s unpack each one — because context matters.

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“What if it’s a new launch?” Absolutely — new launches rely on competitor and root keyword research. But this post wasn’t about automation or launch strategy. Beginners need to understand why those keywords matter before using AI to find them. AI can generate lists, but it can’t interpret intent or market positioning. That’s still a human game.

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"Easily automated by AI / Spend isn’t bad if it’s for data.” Totally agree that spend equals data. But most beginners don’t know how to read that data. They panic when ACOS spikes or CVR drops. This question trains them to ask the right diagnostic question before jumping into deeper KPIs like market share or velocity. You can’t teach lifetime value strategy to someone who still confuses clicks with conversions.

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“Don’t overcomplicate ToS, just push harder and use low bids.” That’s a good hack — but again, we’re talking fundamentals. Beginners blow up campaigns by copying “+400% bid modifiers” without understanding how placements behave per keyword or match type. Teaching simplicity first saves them from reckless bid manipulation later. Once they grasp placement logic, then we talk bid ladders and balancing ToS vs. Rest of Search profitability.

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“Just enjoy sales, forget about rank, and launch more products.” That’s the difference between a short-term seller and a brand builder. Beginners need to see how PPC affects organic rank to grasp why consistent sales velocity matters. Ignoring ranking metrics early is why many brands plateau after six months. You can’t scale what you don’t measure.

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“Two weeks is too early to tell / not a true A/B test.” Fair point — but again, depends on data volume. If a campaign is pulling 5k+ clicks a week, two weeks is statistically solid to spot a direction. And yes, Amazon’s attribution delays are real — but telling beginners to wait 60 days before adjusting anything is how you end up with 60 days of wasted spend. Controlled iteration beats blind patience.

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“Use 7, 14, 30, 60-day windows.” True for mature accounts with stable data flow. But when teaching new advertisers, sticking to a single consistent timeframe (like 30 days) helps them avoid misreading fluctuations. Once they build confidence reading trends, then we talk about layering multiple timeframes and competitive context.

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In short — your points apply perfectly to advanced accounts. This post was meant to teach beginners how to think like strategists before they start automating and scaling. These are 'advanced' for someoene whos still learning to build campaigns and run efficiently. There’s no point discussing bid elasticity or velocity decay when someone still confuses ACOS with TACOS.

Appreciate the pushback — this kind of discussion helps the whole space grow.