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Lead Capture & Scoring

GroupHunter automatically captures contact information from membership question answers and assigns each member a lead score (0-100) based on data quality and engagement signals.

How Lead Capture Works

When a member requests to join your Facebook Group and answers membership questions, GroupHunter:

  1. Scans answers for emails and phone numbers
  2. Extracts contact info using pattern recognition
  3. Validates formats (proper email format, valid phone structure)
  4. Stores data securely in your dashboard
  5. Calculates lead score based on multiple factors

Ask specific membership questions like "What's your email address?" or "How can we contact you?" to increase capture rates.

Email Extraction

How It Works

GroupHunter uses advanced pattern matching to find emails in any answer field:

Examples detected:

  • Standard: john@example.com
  • With name: John Doe <john@example.com>
  • In sentence: You can reach me at john.doe@company.co
  • Obfuscated: john [at] example [dot] com (converted)

Email Validation

Captured emails are validated for:

  • Proper format (name@domain.extension)
  • Valid domain extension (.com, .net, .org, etc.)
  • No obvious typos (gamil.com → flagged)

Validation indicators:

  • Verified — Valid format and deliverable domain
  • ⚠️ Unverified — Valid format but domain not checked
  • Invalid — Incorrect format

Multiple Emails

If a member provides multiple emails:

  • All are captured and displayed
  • Primary email is used for integrations
  • You can manually select which email to use

Phone Number Extraction

Supported Formats

GroupHunter recognizes phone numbers in various formats:

US/International:

  • +1 (555) 123-4567
  • 555-123-4567
  • 555.123.4567
  • 5551234567
  • +44 20 1234 5678 (UK)
  • +61 2 1234 5678 (Australia)

In context:

  • "Call me at 555-123-4567"
  • "My number: (555) 123-4567"
  • "Phone: +1-555-123-4567"

Phone Validation

Basic validation includes:

  • Correct digit count for country
  • Valid area codes (US)
  • Proper formatting

Lead Scoring System

Every member gets a score from 0-100 based on these factors:

Scoring Breakdown

FactorPointsDetails
Email provided+30Any valid email extracted
Phone provided+20Any valid phone extracted
Verified email+10Deliverable email domain
All questions answered+10No blank answers
Answer quality+10Detailed, thoughtful responses (greater than 50 chars per answer)
Mutual friends+5 eachUp to +15 max (3+ mutual friends)
Facebook account age+10Account greater than 1 year old
Profile complete+5Has profile picture, bio, work/education

Score Interpretation

80-100 (🟢 Excellent)

  • Has email + phone
  • Detailed answers
  • Established Facebook account
  • Mutual connections

50-79 (🟡 Good)

  • Has email or phone
  • Some answers completed
  • Active Facebook profile

0-49 (🔴 Low Quality)

  • No contact info
  • Incomplete answers
  • New or empty Facebook profile
  • Possible spam/bot

Focus your manual review time on leads scored 50+. Automate declines for scores below 30.

Viewing Lead Scores

In Member Cards

Lead score appears prominently on each member card:

┌─────────────────────────────┐
│ John Doe               [85] │ ← Green badge (excellent)
│ Marketing Masters           │
│                            │
│ 📧 john@example.com         │
│ 📱 +1 (555) 123-4567        │
└─────────────────────────────┘

In Leads View

Dashboard → Members → Leads shows members sorted by score (highest first).

Columns:

  • Name
  • Group
  • Email
  • Phone
  • Score (sortable)
  • Status

Quick actions:

  • Filter by score range (e.g., 80-100)
  • Export high-scoring leads
  • Bulk approve quality leads

Optimizing Lead Capture

Membership Questions

Best practices:

  1. Ask directly:

    • ✅ "What's your email address?"
    • ❌ "Tell us about yourself"
  2. Make it required:

    • Mark email/phone questions as required in Facebook
  3. Explain why:

    • "Email (required for welcome guide and updates)"
  4. Multiple touchpoints:

    • Ask email in one question
    • Ask phone in another (optional)
    • Ask "best way to contact you" as backup

Example question set:

Q1: What's your email address? (required)
Q2: What's your phone number? (optional)
Q3: Why do you want to join this group?
Q4: What's your business or profession?

Improving Capture Rates

Current capture rate below 50%?

Try these improvements:

  1. Make email required in Facebook Group settings
  2. Reorder questions — Put email first
  3. Add context — Explain why you need it
  4. Offer value — "Email required for free guide"
  5. Use incentive — "Email for exclusive content"

Well-optimized Groups achieve 70-90% email capture rates.

Lead Scoring in Automation

You can use lead scores in automation rules:

Score-Based Rules

Example 1: Auto-approve high scores

  • Condition: Lead score ≥ 80
  • Action: Auto-approve
  • Result: Best leads get instant access

Example 2: Auto-decline low scores

  • Condition: Lead score < 30 AND no email
  • Action: Auto-decline
  • Result: Spam/bots filtered out

Example 3: Flag medium scores

  • Condition: Lead score 40-60
  • Action: Flag for manual review
  • Result: Borderline cases reviewed by you

Learn more about automation rules →

Exporting Leads

CSV Export

Export leads with all captured data:

  1. Go to Members → Leads
  2. Apply filters (e.g., score 80+)
  3. Click Export to CSV
  4. Opens spreadsheet with:
    • Name, Email, Phone
    • Lead Score
    • Group Name
    • Join Date
    • All Q&A answers

Integration Exports

Google Sheets: Auto-sync approved members to a Sheet with:

  • Real-time updates
  • Lead scores included
  • Formulas for score-based filtering

Email Marketing: Send captured emails to:

  • Mailchimp lists
  • ConvertKit sequences
  • ActiveCampaign contacts

Webhooks: Trigger custom workflows with lead data:

{
  "name": "John Doe",
  "email": "john@example.com",
  "phone": "+15551234567",
  "lead_score": 85,
  "group": "Marketing Masters"
}

Learn more about integrations →

Analytics

Track lead capture performance:

Dashboard Stats

  • Email Capture Rate: % of members with email
  • Phone Capture Rate: % of members with phone
  • Average Lead Score: Across all members
  • Score Distribution: How many in each range

Per-Group Breakdown

See which Groups have:

  • Highest capture rates
  • Best lead scores
  • Most complete answers

Use this data to:

  • Improve question wording
  • Identify high-performing Groups
  • Optimize automation rules

Privacy & Compliance

Data Storage

  • Emails and phones stored securely (encrypted)
  • Data retained as long as your account is active
  • Delete members to remove their data

GDPR/Privacy

  • Members provide info voluntarily (Facebook join request)
  • You're the data controller (Group admin)
  • GroupHunter is the data processor
  • Members can request deletion

Email Marketing Compliance

Before adding to email lists:

  • Verify members opted in (membership questions)
  • Include unsubscribe links (required by law)
  • Follow CAN-SPAM / GDPR rules
  • Don't buy/sell email lists

Always comply with email marketing laws in your jurisdiction. Get explicit consent before adding members to promotional lists.

Best Practices

Lead Qualification

  1. Set score thresholds:

    • 80+ = Hot lead (immediate approval)
    • 50-79 = Warm lead (review)
    • 0-49 = Cold lead (decline or nurture)
  2. Combine with other data:

    • Mutual friends = trust signal
    • Complete answers = genuine interest
    • Facebook activity = real person
  3. Regular review:

    • Export top 20% of leads weekly
    • Monitor score trends
    • Adjust thresholds based on results

Workflow

Daily:

  • Approve members with score 80+
  • Review flagged members (50-79)
  • Export new high-quality leads

Weekly:

  • Analyze capture rates
  • Update membership questions if needed
  • Export all leads to CRM

Monthly:

  • Review automation rules based on score patterns
  • Optimize questions for better capture
  • Clean up declined members (GDPR)

Troubleshooting

Low email capture rate

Problem: Less than 30% of members provide email

Solutions:

  1. Make email question required
  2. Reword: "What's your email?" (not "How can we reach you?")
  3. Add value: "Email required for free guide"
  4. Check if question is visible (not hidden)

Incorrect scores

Problem: High scores for obvious spam

Solution:

  • Spam can have fake emails/phones
  • Use keyword filters to catch spam patterns
  • Add manual review for new Groups
  • Report false positives to support

Missing emails/phones

Problem: Member provided email but not detected

Solution:

  • Check for unusual formatting
  • Look in answer text (may be obfuscated)
  • Manually add if visible
  • Contact support if pattern is missed

Related Features

Next Steps