Category: Blog
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What are the 200 variables Mainkore analyzes in every campaign decision
Performance variables The difference between AI that assists and AI that decides isn’t speed. It’s dimensionality — how much of reality the system can hold and act on at once. A human expert making a campaign decision has access to enormous amounts of data. But they can only actively consider a fraction of it at
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The end of the human trader as we know it
What changes when the execution layer belongs to the agent Let’s start with a number: 85%. That’s the percentage of a typical trader’s time that goes into campaign setup and maintenance, naming conventions, targeting parameters, bid configurations, budget allocations, reporting. The operational layer that keeps campaigns running. Which means roughly 15% goes into the work
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How an AI makes a decision in 20 milliseconds
What a decision actually involves The number comes up often: Mainkore’s agent makes decisions in 20 milliseconds. People hear it and think about speed. That’s the wrong thing to think about. 20 milliseconds is not the interesting part. The interesting part is what’s happening in those 20 milliseconds and why the same decision would take
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Mainkore intelligence vs. smart bidding: what Google doesn’t tell you
What smart bidding actually does Smart bidding is good at what it does. That’s precisely why the comparison matters. If you’re running Google campaigns, you’ve used it or considered it. It adjusts bids in real time, factors in dozens of signals, and optimizes toward the conversion goal you define. For a single campaign on a
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What real autonomy means in media management and why most systems don’t have it
What “autonomous” actually requires If you’ve ever managed media at scale, you know the feeling: everything is technically under control, and nothing is quite right. Campaigns are live, budgets are running, reports are coming in. But somewhere between the data and the decisions, time passes. And in advertising, time passing is money leaving. Real autonomy
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Why traditional automation has a ceiling and Mainkore intelligence doesn’t
What traditional automation was built for You’re managing multiple campaigns across several channels. Each one has its own platform, its own metrics, its own logic. Search behaves differently from social. Social behaves differently from programmatic. And each platform wants you to believe its numbers are the ones that matter. On top of that, 85% of
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AI that assists vs. AI that decides: the difference nobody explains clearly
The assisted model: AI as a better tool Two systems can both be called AI-powered and operate in fundamentally different ways. One waits for you. One doesn’t. In the assisted model, AI surfaces information and makes recommendations. You review. You approve. You act. The intelligence is real but the decision stays with you. In practice,