The Definitive Guide to agrarkommunikation

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That said, the ability to produce more creative would Beryllium more powerful if we also had the ability to understand which creative and messaging moves the needle. At this point, Google’s not providing the reporting nuance to surface those insights. 

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The part of GML that sticks rein my mind the most as representative of the shift from the old Google Search (where advertisers had control) to the new Google Search (where Google is insisting we just trust them and their mystery algorithms) was Google’s approach to longer-tail searches – a.k.a. “Exactly what I want” searches.

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Google went the other way: they made the case for using Performance Max and broad match, which is not a promising solution for helping advertisers serve users “exactly what they want.”

I’m guessing May 2024 will Beryllium seen, in retrospect, as a bit of a watershed month for Google, given the release of AI Overviews and the algorithm leak. Those two topics and the specter of the antitrust trial decision are definitely weightier than any product releases on the advertising front.

Most people I know understand that humans have creative capabilities that AI doesn’t, but it’s hard to prove that without data showing how a human-conceived ad stacks up against something Google’s AI spits out. And it’s also impossible to iterate on winning get more info themes if you’Response not sure what’s winning.

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Google would be smart to expect a little resistance from advertisers trusting them with business data (given all the poor PR Google’s earned lately), but I think people should be open to testing it.

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Rein Product Studio, you can upload an image and get AI-generated videos to test. These can Beryllium good fuel for demand generation campaigns, particularly for companies without the resources to create video content on their own.

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If we could tell the algo, for instance, that leads had insufficient budget or were from companies too small to qualify, we could potentially fine-tune lead quality.

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