LinkedIn Profile Activeness Analyzer

This actor analyzes LinkedIn profile URLs to determine how active and engaged a profile is. It helps you prioritize outreach to active leads and avoid wasting time on inactive profiles.

Increase your LinkedIn outreach reply rate by 20% on average, compared to targetting any LinkedIn profile, by filtering out inactive profiles and focusing only on engaged, responsive prospects. That means 20% more pipeline, 20% more revenue.

Input

• linkedinUrl (string, required): The LinkedIn profile URL to analyze

Output

The actor returns an object with:

• success: boolean indicating if the analysis was successful
• linkedin_url: The analyzed LinkedIn profile URL
• activity_score: Number from 1-10 indicating profile activeness
• recommendation: Text recommendation with emoji indicator
• score_breakdown: Object with points per category (profile_completeness, premium_status, network_size, recent_activity, engagement_frequency)
• profile_summary: Object with full_name, headline, location, connection_count, follower_count, is_premium, is_creator, profile_picture_url
• activity_metrics: Object with last_activity_date, days_since_last_activity, posts_last_30_days, reactions_last_30_days
• insights: Array of key findings about the profile
• analyzed_at: Timestamp of analysis
• processingTime: Processing duration
• statusCode: HTTP status code

Example Input

{
    "linkedinUrl": "https://www.linkedin.com/in/example-profile/"
}

Example Output

{
    "success": true,
    "linkedin_url": "https://linkedin.com/in/example-profile",
    "activity_score": 9,
    "recommendation": "🟢 VERY HIGH - Extremely active profile, very likely to respond",
    "score_breakdown": {
        "profile_completeness": 3,
        "premium_status": 1,
        "network_size": 2,
        "recent_activity": 3,
        "engagement_frequency": 0
    },
    "profile_summary": {
        "full_name": "John Doe",
        "headline": "CEO at Example Company",
        "location": "San Francisco, California, United States",
        "connection_count": 5000,
        "follower_count": 8500,
        "is_premium": true,
        "is_creator": true,
        "profile_picture_url": "https://media.licdn.com/..."
    },
    "activity_metrics": {
        "last_activity_date": "2025-10-13",
        "days_since_last_activity": 0,
        "posts_last_30_days": 5,
        "reactions_last_30_days": 12
    },
    "insights": [
        "✅ Premium member - higher engagement likelihood",
        "✅ Content creator - actively posting",
        "✅ Well-maintained profile"
    ],
    "analyzed_at": "2025-10-13T21:50:53.775Z",
    "processingTime": "22.21s",
    "statusCode": 200
}

Activity Score Guide

• 8-10: 🟢 VERY HIGH - Priority outreach, highly likely to respond
• 6-7: 🟢 HIGH - Good candidate, active profile worth reaching out
• 4-5: 🟡 MEDIUM - Moderate activity, secondary list
• 2-3: 🟠 LOW - Limited activity, skip or delay outreach
• 0-1: 🔴 VERY LOW - Inactive profile, do not contact

How the Score is Calculated

The activity score (1-10) is based on five components:

Profile Completeness (0-3 points)

• Complete About section (50+ characters)
• Experience listed
• Education listed
• Location provided
• Profile picture uploaded

Premium Status (0-1 point)

• Premium LinkedIn member indicates higher engagement likelihood

Network Size (0-2 points)

• Less than 500 connections = likely inactive (0 points)
• More than 10,000 followers = likely managed account (0 points)
• 500-5,000 connections with less than 10k followers = active user (1-2 points)

Recent Activity (0-3 points)

• Last 7 days = 3 points
• Last 30 days = 2 points
• Last 90 days = 1 point
• 90+ days = 0 points

Engagement Frequency (0-1 point)

• 5+ posts OR 10+ reactions in last 30 days = 1 point

Use Cases

Sales Prospecting

Filter your lead lists to contact only profiles with activity_score >= 6

Recruitment

Prioritize active candidates with score >= 7 and is_premium = true

Partnership Outreach

Identify engaged decision-makers with score >= 8 and connection_count > 1000

Content Collaboration

Find active creators with is_creator = true and score >= 7

Integration with Clay.com

1. Add this actor as an enrichment step in your Clay table
2. Map your LinkedIn URL column to the linkedinUrl input
3. Use the activity_score field to filter and prioritize leads
4. Create conditional logic based on the recommendation field

Performance

• Average processing time: 20-30 seconds per profile
• Success rate: 95%+ on valid LinkedIn URLs
• Respects LinkedIn usage policies

Important Notes

• Requires valid, public LinkedIn profile URLs
• Private profiles may return limited data
• Results are point-in-time snapshots
• Activity scores may change as profiles update over time

Support

For questions or issues contact david@automaterevops.ai or visit https://automaterevops.ai

Built by automate rev.ops - Clay.com Certified Experts helping RevOps, Marketing, and Sales teams optimize their outreach with data-driven insights.