Advice from people who work with PPC campaigns every day — no magic promises, concrete examples, and a focus on control.
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The search terms report is both treasure and trouble. AI sorts the noise — you keep what is strategic.
Scaling a PPC portfolio without incidents needs rules: who can approve, what gets logged, and what never runs automatically.
AI is fast with data; humans are good at context, clients, and strategy. The best outcome is a clear combination of both.
LinkedIn is expensive per click. AI helps you find segments that cost a lot but do not deliver qualified leads.
On Meta, performance shifts quickly between audiences and formats. AI helps you see what works now — not what worked last month.
AI does not replace your PPC specialist, but it can scan thousands of search terms daily and show you where money is wasted — you decide what gets applied.
Do not optimize on false data. First check conversions are recorded correctly — AI can flag anomalies.
Clients do not want 50 metrics. They want to know: is it working, what did you do, what is next.
PMax feels opaque, but it is not a total black box. There are clear signals when something is wrong — if you know where to look.
AI is only as good as the objectives you give it. Wrong CPA = noisy or late recommendations.
With 10–30 accounts, the problem is not missing data — it is prioritization. One panel and clear rules make the difference.
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