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Getting the Most Out of Ad Network Reps (and Knowing When to Be Skeptical)
Ad network support can feel like a mystery box. Sometimes it's a gift. Sometimes it's not so helpful, and at worst, it’s a heavy-handed sales pitch. Whether you're running ads on Google, Meta, Microsoft, or another platform, chances are you've encountered network reps or seen their suggestions show up in your account. These relationships can be incredibly useful, but it’s important to understand their purpose and limitations.


The Secret to Smarter Ad Performance: Campaign Structure
Last week, our team did a deep dive into recent test results—sharing wins, misses, and insights from across our client campaigns. While...


Segmentation vs. Aggregation in AI-Driven Optimization
In digital marketing, AI-driven bid strategies rely on volume for effective optimization. But how does segmentation impact this process?


Marketing Mix Modeling (MMM) Is Trending—But Here's Why You Should Be Skeptical
MMM can be powerful when done right—but it's easy to misuse, and when that happens, the impact isn’t just a small misstep.


AI Optimization Case Study: When Early AI Optimization Went Wrong
Machine learning, much like an enthusiastic but untrained helper on a project, can be either remarkably helpful or surprisingly destructive.


5. Testing in an Algorithmic World
Letting AI drive doesn’t mean you’re off the hook; it means your strategy has to work harder
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