Is anyone else just completely drained by the manual math of search ads?
I’ve been talking about this with my team lately. We recently had a client who was spending hours every morning digging through data just to decide whether to scale a campaign or kill it. Even with all the tech available, the actual math usually falls on the human, and they were hitting massive decision fatigue.
They felt like the native recommendations from the platform were okay, but often felt more like a nudge to spend more rather than a way to protect their profit.
To fix it, we built a custom AI agent to act as a second opinion. We basically made a campaign optimizer that does the work:
- It flags wasted spend by spotting keywords that don't hit actual profit margins.
- It finds scale logic by identifying high ROI pockets that are safe to push.
- It runs an attribution check to see what is actually working in real-time.
We keep a human in the loop for the final push so the agent just provides the recommendations, but the client loved the results. It has been a massive relief for them to stop making moves based on a gut feeling.
I am trying to see if this is a bigger problem across different niches or just a specific one we ran into. Is anyone else facing this kind of decision fatigue, or have you found a better way to automate the logic behind your spend?