AI Lab: my prospects send signals. My AI agents are listening.
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THE LAB · EXPERIMENT 04
My prospects send signals. My AI agents are listening.
Today, I'm showing you another piece of what I've automated: detecting and managing marketing signals.
A prospect doesn't always say, "I'm interested."
But they leave signals.
→ A company publishes about AI.
→ It shows buying intent for AI services.
→ Someone visits my website.
→ A person who matches my target shows interest.
My system currently tracks 7 types of signals.
For some, I use external data. For example, I buy intent signals on Apollo and use the platform to identify the right people in the companies and markets I target.
For others, I built my own mechanisms. I detect visits to my site so I can retarget directly with my AI agents, rather than adding yet another marketing tool.
But receiving a signal doesn't mean the prospect is worth pursuing.
So I built my own scoring system directly in my platform.
Each prospect is scored on how close they are to my targets and markets: company size, industry, the person's role, and how relevant the detected signals are.
My agents shouldn't just find prospects. They have to know which ones deserve our attention.
Then everything flows automatically:
SIGNAL → ENRICHMENT → SCORING → PRIORITIZATION → PERSONALIZED MESSAGE → SEQUENCE → FOLLOW-UP
For each signal, the content is adapted and, when relevant, the prospect is automatically placed in the right sequence.
Sending, data enrichment and follow-up are automated.
What I find particularly interesting: AI doesn't only replace tasks. It can also replace part of the software I would normally have had to buy.
Fewer tools. More integration. And 15 specialized AI agents working from the same information.
What do you think?
Share your thoughts or ask me questions in the comments.
Follow me to see what comes next.
Paquin & Co.: https://www.paquinco.com/en
All the AI Lab experiments: https://www.paquinco.com/le-laboratoire-ia
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