The keyword era in PPC is ending. The next skill is not picking terms, but managing the signals that automated systems learn from.
For years, PPC search advertising was built around a reassuringly simple idea. We chose the keywords. Google matched the search. We had a sense of control and a way to diagnose what was happening.
That world is now disappearing. In Search Engine Journal, Frederick Vallaeys, who joined Google in 2002 and was its first AdWords Evangelist, put it bluntly: “Keywords are dead.” He explains how the underlying system is moving away from manually declared keywords and towards intent, automation and business signals.
Some of this should be welcome. But we should not pretend the change comes without a cost.
The biggest loss is ‘diagnosability’. When campaigns underperform, the old question was simple: “What did we pay to appear for?” We could see patterns. As targeting becomes more abstract, that gets harder. We may still be able to use negative keywords. We may still be able to run tests. But the machine’s reasoning becomes harder to follow.
We are also losing some of the skill of account structure. When PPC management involves careful separation of intent, such as ‘brand’ and ‘non-brand’, or research and buying terms, we have a way of thinking clearly about the market. This is genuinely useful. We see how customers describe problems and how odd little searches revealed real intent. If the system hides too much of that, we lose one of the best ways of understanding buyers.
We can’t cling to the old model. But it’s important to know what we’re losing, and to obtain that experience and data elsewhere. Running a PPC campaign is no longer just knowing what to target. It is knowing what the machine is learning from, and where we still need to keep control.
As has been written elsewhere, the keyword era is ending. But the need for judgement is not.