Outbound Campaign Phone Validation

Validating phone numbers before outbound campaigns improves contact rates, reduces costs, and ensures compliance. This guide covers the validation workflow from list upload to campaign launch.

Key Takeaways

  • Pre-campaign validation typically improves contact rates 20-50%
  • Batch processing handles large lists cost-effectively
  • Preview results before paying ensures data quality
  • Validation data enables campaign segmentation

Validation Workflow

Step 1: Export Campaign List

Export your contact list from CRM or marketing automation:

campaign_list.csv:
id,phone,first_name,last_name,email,source
1001,5551234567,John,Smith,john@example.com,webinar
1002,5559876543,Jane,Doe,jane@example.com,tradeshow
...

Step 2: Upload for Validation

  1. Log in to VeriRoute Intel dashboard
  2. Navigate to Bulk Upload
  3. Upload your CSV file
  4. Map phone number column

Step 3: Preview Results

Before paying, you'll see a preview of validation results:

  • Total records
  • Valid numbers
  • Invalid/disconnected numbers
  • Line type breakdown
  • Sample enriched records

Preview before you pay. See what you're getting before committing.

Try Bulk Upload

Step 4: Confirm and Process

After reviewing the preview:

  • Confirm to process full list
  • Processing happens in background
  • Email notification when complete

Step 5: Download Results

Download enriched CSV with validation data:

campaign_list_validated.csv:
id,phone,first_name,last_name,is_valid,line_type,carrier,activation_date
1001,5551234567,John,Smith,true,wireless,Verizon,2023-04-15
1002,5559876543,Jane,Doe,false,disconnected,,
...

Step 6: Segment and Load

Use validation data to segment your campaign:

# Python example
import pandas as pd

df = pd.read_csv('campaign_list_validated.csv')

# Filter to valid numbers only
valid = df[df['is_valid'] == True]

# Segment by line type
mobile = valid[valid['line_type'] == 'wireless']
landline = valid[valid['line_type'] == 'landline']

# Export for dialer
mobile.to_csv('campaign_mobile.csv', index=False)
landline.to_csv('campaign_landline.csv', index=False)

Segmentation Strategies

By Validity

  • Valid → Include in campaign
  • Invalid/Disconnected → Remove from campaign
  • Unknown → Review or attempt once

By Line Type

  • Mobile → Daytime calls, SMS follow-up option
  • Landline → Evening calls, no SMS
  • VoIP → Business hours, flag for review

By Activation Date

  • Recently activated (< 90 days) → Verify identity carefully
  • Stable (> 1 year) → Higher confidence

Expected Results

Metric Before Validation After Validation
List size 10,000 8,500 (valid only)
Contact rate 15% 22%
Contacts reached 1,500 1,870
Wasted dials 2,500 400
Cost per contact $2.50 $1.75

When to Validate

Always Validate

  • Purchased or acquired lists
  • Lists older than 90 days
  • Before large campaigns
  • Compliance-sensitive campaigns

Consider Validating

  • Existing CRM contacts (periodic refresh)
  • Event registrations before follow-up
  • Leads from new sources

Timing Recommendation

  • Validate 1-3 days before campaign — Fresh data, time to process
  • Don't validate weeks in advance — Data can change

Best Practices

  1. Validate every campaign list — Even "fresh" data has issues
  2. Preview before paying — Verify data quality first
  3. Segment by line type — Different strategies for mobile vs. landline
  4. Track source quality — Know which sources have best data
  5. Save validation results — Use for future campaigns
  6. Validate close to launch — Fresher is better

Related Articles

← Back to How Phone Intelligence Increases Contact Rates by 40%

Validate Your Campaign List

Upload your list and preview results before paying.