Your team gets 47 AI newsletters. Nobody reads them.
I tested every signal source marketing teams actually use. Here's what separates decision tools from news dumps.
The Testing Process
I spent 20 hours reviewing signal sources with one criterion: does this change what you do Monday morning?
Most sources fail. They report what happened. Not what it means for your team of three doing the work of 10.
The five sources below passed a simple test. Each one answered: "What decision does this support?" and "How often should I check it?"
Selection Criteria
Sources made the list if they:
Deliver decisions over dopamine. No "AI is changing everything" articles. Only "here's the choice you need to make."
Include application notes. Every insight tied to implementation. Not theory.
Respect your 10-minute budget. Marketing leaders don't have time for 3,000-word deep dives written by people who've never run a campaign.
Focus on signal, not noise. The question isn't "how many sources?" It's "which decisions am I trying to inform?"
Research shows 80% of actionable insights come from 20% of sources. These five are that 20%.
What you're about to get:
5 vetted signal sources with implementation frameworks
Decision mapping for each source (what choices it supports)
Check frequency guidance (daily, weekly, monthly)
Before/after examples showing impact
3-step implementation guides for immediate use
I tested 47 sources. These 5 won.


