Fully automated campaigns: where AI ends and human judgement begins
Automated campaigns decide bids, audiences and ads with little intervention. That saves time, but it does not replace what only a person can do: set the…
Automated campaigns decide bids, audiences and ads with little intervention. That saves time, but it does not replace what only a person can do: set the…
Bidding algorithms learn from the signals they receive. As third-party data loses weight, first-party signals (purchases, enquiries, customer lists…
Platforms have shifted focus from exact keywords to intent inferred from pages, signals and context. That widens reach but removes control. Advertisers…
AI agents can already analyse accounts, propose changes and carry out repetitive tasks. The value lies in freeing time for decisions, not in handing the…
Platforms increasingly accept natural-language instructions: business descriptions, tone of voice, exclusions, goals. A good prompt works as a short…
With campaigns that expand search on their own, exclusions have become the main protection mechanism. Knowing what exclusion lists still control, what they…
Some platforms already move budget between campaigns or channels according to predicted performance. It can be efficient, but it can also concentrate spend…
Bidding on conversions treats all sales as equal. Bidding on value teaches the algorithm to look for people who spend more or leave more margin. The switch…
In automated campaigns, audience signals (lists, interests, visitors) work as a starting point for the algorithm, not as a boundary. Understanding that…
Platforms offer lift tests to measure how many conversions would not have happened without the ads. They are useful, but the vendor is measuring its own…
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