We rolled out AI Max for Search across campaigns for clients in multiple verticals, including eCommerce, online education, and nonprofit. In most cases, it captured 5–10% of Search spend, produced ~30% stronger ROAS than non‑AI Max traffic, and uncovered incremental volume. However, it also proved to “cherry-pick” volume from existing keywords, which masked some inefficient spend, emphasizing the need for strong conversion signals and constant guardrails.

For years, marketers have been talking about AI. At this year’s Think Leads event, it finally felt tangible and purposeful. Google pulled back the curtain to reveal how AI is reshaping everything from how consumers search to how advertisers define and predict value. The message was clear: AI isn’t coming; it’s here. And, those not yet embracing it are already behind.

Google’s newest AI-powered features promise more reach, more conversions, better efficiency… and sometimes even all at once. The pitch is alluring: hand over the keys and let the machine do the driving. But here’s the truth: AI doesn’t know your profit margins, your customer lifetime value, or the nuances of your brand. Without your direction, it’s just as happy driving you in circles as it is taking you to your destination.

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.

At the heart of our strategy was a data-driven approach, combining deep expertise in campaign management with the powerful automation tools.