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Webhooks enable powerful integrations. Here are common patterns and how to implement them.

CRM Integration

Goal

Automatically log calls and update contact records in your CRM.

Implementation

On call.end:
  1. Receive webhook with transcript and outcome
  2. Look up contact by phone number
  3. Create/update contact record
  4. Add call notes with summary
  5. Create follow-up tasks if needed

Example Flow

call.end webhook received

Parse caller_phone from payload

Search CRM for matching contact

If exists: Update record
If not: Create new contact

Add activity: "Voice call - {duration}min - {disposition}"

If follow_up_needed: Create task

Real-Time Dashboard

Goal

Show live call activity and metrics on a dashboard.

Implementation

On call.start:
  • Add to “active calls” count
  • Show caller info in live feed
On call.end:
  • Remove from active calls
  • Update completed calls count
  • Recalculate metrics
On analytics.completed:
  • Update satisfaction scores
  • Refresh aggregate statistics

Technology Options

  • WebSocket connection to frontend
  • Push notifications
  • Server-sent events
  • Polling from dashboard

Email Follow-Up

Goal

Send personalized follow-up emails based on call outcomes.

Implementation

On analytics.completed:
  1. Receive metrics (satisfaction, resolution, etc.)
  2. Determine email template:
    • Satisfied + Resolved → “Thank you” email
    • Unsatisfied → “We’re sorry” + escalation
    • Unresolved → “Additional resources” email
  3. Queue or send email

Example Logic

if (metrics.satisfaction_score >= 4 && metrics.issue_resolved) {
  sendEmail('thank_you_template', caller_email);
} else if (metrics.satisfaction_score <= 2) {
  sendEmail('escalation_template', caller_email);
  notifyManager(call_id);
}

Ticket Creation

Goal

Automatically create support tickets from calls.

Implementation

On call.end:
  1. Check if issue was resolved
  2. If unresolved, create ticket:
    • Title: Issue type
    • Description: Transcript summary
    • Priority: Based on sentiment
    • Customer: Caller info
  3. Assign to appropriate queue

Data Warehouse

Goal

Store all call data for analytics and reporting.

Implementation

On call.end and analytics.completed:
  1. Receive payload
  2. Transform to your schema
  3. Insert into data warehouse
  4. Available for BI tools

Data Points to Capture

  • Call metadata (time, duration, direction)
  • Transcript (full or summarized)
  • Outcome (disposition)
  • Metrics (satisfaction, resolution)
  • Variables (customer data collected)

Slack Notifications

Goal

Alert team members about important call events.

Implementation

On call.end: If certain conditions:
  • Escalation requested
  • Low satisfaction
  • High-value customer
Send Slack message with:
  • Call summary
  • Customer info
  • Action needed

Example Triggers

ConditionNotification
Transfer requested”#support - Transfer requested by [customer]“
Satisfaction ≤ 2”#alerts - Unhappy customer: [summary]“
VIP customer”#vip - VIP call completed: [outcome]“

Multi-System Sync

Goal

Keep multiple systems updated with call data.

Implementation

Your webhook endpoint fans out to multiple services:
Webhook received

    Process payload

    ├── Update CRM
    ├── Update Analytics
    ├── Update Helpdesk
    └── Log to Database
Use async processing so one slow system doesn’t block others.

Best Practices

Acknowledge Quickly

Return 200 immediately, process asynchronously:
app.post('/webhook', (req, res) => {
  res.status(200).send('OK');  // Acknowledge immediately
  processAsync(req.body);       // Process in background
});

Handle Failures

What if your processing fails?
  • Log the failure
  • Queue for retry
  • Alert if persistent

Idempotency

Webhooks may be sent more than once. Handle duplicates:
  • Track call_id to detect duplicates
  • Use upsert operations
  • Design for idempotency

What’s Next