How We Turned LinkedIn Buying Signals Into 133 Replies With AI
One campaign. 133 replies. The difference was timing.
If this is the campaign you wanted to run, start with one signal-based setup.
Build my first signal agent
Paste your website and Looply will draft the company profile, ICP, competitors, exclusions, and signal ideas.
We ran this from buying signals, not a scraped list.
The people fit the ICP, and something recent made the timing relevant.
This is one campaign, not a promise. The useful lesson is simple: timing changed how the message landed.
Watch the complete workflow in 3 minutes
Why cold lists feel so hard
A cold list can be accurate and still be painful.
The person may fit your ICP. But if nothing has happened recently, your message has to create all the context by itself.
That is why more names often creates more work, not more pipeline.
Looply starts somewhere else: with a reason to reach out.
Could you build this manually?
Yes. Sales Navigator, Clay, spreadsheets, GPT prompts, and campaign tools can all cover pieces of this.
The problem is the handoff. The offer lives in one place. The ICP in another. The signal in another. The reply somewhere else.
Looply keeps the offer, ICP, signal, lead reason, campaign, and reply context together. So when a lead appears, you can see why they matter and what should happen next.
What happens in the first 10 minutes
The first setup should not feel like building a full outbound machine.
You give Looply the offer. It drafts the company profile, market, competitors, ICP, exclusions, and first signal ideas.
Then you review. You tighten the buyer. You remove bad fits. You choose which events are worth watching.
The result is not a giant list. It is a review queue: people, context, and a reason to decide whether outreach makes sense.
What counts as a high-intent lead?
A high-intent lead is not just someone who matches your buyer profile.
They also did something recently that makes the timing better.
Not every signal deserves a message. Looply filters for ICP fit, relevance, and recency before surfacing the lead.
The 300 warm leads review framework
The goal is not to message 300 people.
The goal is to review the best 300 moments and contact only the leads that deserve it.
Watch a complete agent being built from a website
Where Claude fits
Looply finds the signal and checks ICP fit first.
Then Claude Coworker uses the signal, company context, and lead profile to draft a short outreach angle.
You review it before sending. AI helps with the draft; you stay responsible for the conversation.
Review the lead before you launch
A warm lead should answer one question quickly:
Why this person, and why now?
When the reason is clear, the campaign does not have to sound like a pitch dropped from the sky.
What one Looply campaign showed
The numbers at the top are not a forecast.
The point is that timing, ICP fit, sender health, short messages, and fast follow-up all work together. Remove one, and the result gets weaker.
What happens after they reply?
The reply is not the finish line. It is where the real sales work starts.
Looply keeps the signal, profile, campaign, and LinkedIn conversation together, so you are not answering from a blank box.
The AI reply agent drafts a response you can review, edit, or send.
AI drafts. You decide. The conversation stays human.
Build my first signal agent
At this point, the next step is simple: build one signal-based setup and compare the first leads to your usual list.
Optional playbook: how to run it after setup
The main conversion path is above. Keep reading if you want the operating details: messages, prompts, weekly targets, and the 48-hour plan.
A short message sequence built around the signal
Use the signal as the reason for the note. Ask one question. Keep it short.
Connection request
First DM after they accept
After they reply
Optional: prompts if you still do this manually
Skip this section if you are using Looply's AI workflow.
Your first four weeks
Use these as operating targets, not forecasts.
Week 1: build one agent, review the first warm leads, start a small campaign.
Week 2: review which signals created replies and tighten the ICP.
Week 3: add one proven signal source and move interested replies to the next step.
Week 4+: scale only the signal sources that create qualified conversations.
Your next 48 hours with Looply
If you keep treating LinkedIn like a database, you will keep writing cold messages. Treat it like a live market.
Customer proof
Ready to try it on your own market?
Start with one signal-based setup, review the first leads, and keep the signal sources that create real conversations.
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