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Visitor Value Scoring

Zenovay's AI-powered Visitor Value Scoring analyzes behavior patterns to identify your most valuable visitors in real-time.

What is Visitor Value Scoring?

Visitor Value Scoring uses machine learning to predict the potential value of each visitor based on their behavior, engagement, and characteristics.

Key Benefits

  • Identify high-value visitors before they convert
  • Prioritize outreach to visitors most likely to buy
  • Personalize experiences based on visitor value
  • Optimize marketing spend on high-value segments

How It Works

Our AI analyzes multiple signals:

Behavioral Signals

  • Pages visited
  • Time spent on site
  • Scroll depth
  • Click patterns
  • Return visits
  • Session frequency

Engagement Signals

  • Form interactions
  • Video views
  • Download actions
  • Search queries
  • Feature usage

Contextual Signals

  • Traffic source
  • Referral URL
  • Device type
  • Geographic location
  • Time of day

Value Score Tiers

Visitors are scored from 0-100:

Score RangeTierDescription
80-100HotVery high purchase intent
60-79WarmStrong engagement signals
40-59NeutralAverage visitor behavior
20-39CoolLow engagement
0-19ColdMinimal activity

Viewing Value Scores

Dashboard View

Access value scores in your dashboard:

  1. Navigate to Visitors tab
  2. Sort by Value Score (highest first)
  3. Click any visitor to see detailed analysis

Real-Time Alerts

Get notified when high-value visitors are on your site:

High-Value Visitor AlertJavaScript
// Set up webhook for high-value visitors
{
"event": "high_value_visitor",
"visitor_id": "vis_abc123",
"score": 92,
"current_page": "/pricing",
"time_on_site": 420 // seconds
}

Using Scores Programmatically

Access visitor data via the External API. Visitor value scores are included in the visitor data response:

Get Visitor DataBash
curl -X GET 'https://api.zenovay.com/api/external/v1/analytics/YOUR_WEBSITE_ID/visitors' \
-H 'X-API-Key: YOUR_API_KEY'
Response (visitor with value score)JSON
{
"visitor_id": "vis_abc123",
"value_score": 87,
"tier": "hot",
"signals": {
  "engagement": 92,
  "intent": 85,
  "recency": 89
},
"predicted_lifetime_value": 299.99,
"conversion_probability": 0.78
}

Personalization Based on Score

Customize experiences for different score tiers:

Personalize by ScoreJavaScript
// Visitor value scoring is calculated automatically by Zenovay.
// Access scores via the External API:
// GET /api/external/v1/analytics/{websiteId}/visitors?sort=value_score
//
// Use scores to personalize experiences on your backend:
if (visitorScore >= 80) {
// Show chat widget for high-value visitors
showLiveChat();

// Track high-value engagement
zenovay('track', 'high_value_visitor_active', {
  score: visitorScore,
  page: window.location.pathname
});
} else if (visitorScore >= 60) {
// Show email capture for warm visitors
showEmailCapturePopup();
}

Integrations

Slack Notifications

Get notified in Slack when hot visitors are active:

Slack WebhookJSON
{
"text": "🔥 High-value visitor on site!",
"blocks": [
  {
    "type": "section",
    "text": {
      "type": "mrkdwn",
      "text": "*Value Score:* 94/100\n*Page:* /pricing\n*Time on site:* 8 min"
    }
  }
]
}

Salesforce Integration

Automatically create leads for high-value visitors:

  • Score ≥ 80: Create high-priority lead
  • Score 60-79: Create standard lead
  • Score < 60: Add to nurture campaign

Email Automation

Trigger personalized email sequences:

Email TriggerJavaScript
// Score tier changes can trigger email sequences via webhooks.
// Configure webhook notifications in your Zenovay dashboard
// under Settings → Integrations → Webhooks.
//
// Your webhook endpoint receives:
// { "event": "score_tier_change", "new_tier": "hot", "visitor_id": "...", "email": "..." }
//
// Example webhook handler (Node.js):
app.post('/webhooks/zenovay', (req, res) => {
const { event, new_tier, email } = req.body;
if (event === 'score_tier_change' && new_tier === 'hot' && email) {
  sendPersonalizedEmail(email, 'high-value-sequence');
}
res.sendStatus(200);
});

Score Factors

Understanding what influences scores:

Positive Factors

Increases score:

  • Visiting pricing page
  • Viewing product demos
  • Downloading resources
  • Comparing plans
  • Reading documentation
  • Multiple return visits
  • Long session duration

Negative Factors

Decreases score:

  • High bounce rate
  • Very short sessions
  • Visiting only careers/about pages
  • Low scroll depth
  • No interactions

Improving Accuracy

Train the model with your conversion data:

Track ConversionsJavaScript
// When a visitor converts
zenovay('track', 'conversion', {
visitor_id: 'vis_abc123',
conversion_value: 99.00,
conversion_type: 'purchase'
});

// The AI learns from this to improve future predictions

The more conversion data you provide, the more accurate the scoring becomes for your specific business.

Custom Scoring Models

For enterprise customers, we can create custom scoring models based on your specific:

  • Industry
  • Product type
  • Customer journey
  • Conversion patterns
  • Historical data

Contact our team at [email protected] to discuss custom models.

Privacy & GDPR

Visitor value scoring is privacy-first:

  • No personal data required for scoring
  • Scores based on anonymous behavioral patterns
  • User can request deletion of their data
  • Opt-out respected for all tracking

Best Practices

1. Act on Hot Visitors

When you see a hot visitor (80+):

  • Trigger live chat
  • Offer personalized help
  • Show relevant content
  • Provide exclusive offers

2. Nurture Warm Visitors

For warm visitors (60-79):

  • Capture email address
  • Send educational content
  • Offer free trials
  • Add to retargeting campaigns

3. Qualify Early

Use scores to prioritize sales outreach:

  • Focus on 80+ scores first
  • Qualify 60-79 scores
  • Nurture < 60 with automation

Next Steps

Learn more:

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