Profile View & Connection Response
Someone viewed your profile or sent a connection request — research them and generate a response in seconds
From Clearcue, pull all profile view and connection request signals from the last 24 hours.
For each person who viewed my profile or sent a connection request:
- Who are they? Name, title, company, seniority level
- Why did they find me? Check if they also triggered other signals (engaged with our content, attended an event we track, posted about a topic we monitor). This tells me if the profile view is random or intentional.
- ICP fit? Do they match our target buyer profile?
- Their recent activity: What have they been posting or engaging with on LinkedIn?
Now categorize them:
🔥 HIGH INTENT (viewed profile + has other signals): These people are actively researching us. Accept immediately + send a personalized message referencing their other signals.
👋 WORTH CONNECTING (ICP fit but no other signals): Accept + send a soft opener based on their recent LinkedIn activity.
⏭️ SKIP: Not ICP, no signals, likely random browser.
For each person in HIGH INTENT and WORTH CONNECTING, write:
- An accept message (under 300 characters)
- A follow-up message for 2 days later if they don't reply
Requirements
Profile view or connection signal on your own LinkedIn profile
Pro tip
Profile views with other signals are one of the strongest buying indicators. Someone who viewed your profile AND commented on a competitor post AND attended your tracked event is deep in evaluation mode. These people deserve a phone call, not a LinkedIn message.
What happens
Clearcue correlates profile views with other signal data to distinguish between random browsers and genuine prospects researching you. Claude generates contextual responses based on the full picture — not just 'thanks for connecting' but messages that reference why they likely found you.
Time saved
10 min/lead → 1 prompt
More Daily SDR Actions prompts
Start using Clearcue today
Connect your Clearcue signals to Claude via MCP and run these prompts on real data — no setup required.