Key Differences
| Factor | Mobile | Landline |
|---|---|---|
| Ownership | Usually personal | Often shared (household/business) |
| Screening | Heavy (unknown callers often ignored) | Light (more likely to answer) |
| Best time | Lunch, commute, early evening | Evening, weekends |
| Local presence | Very effective | Moderately effective |
| SMS follow-up | Yes | No (text-to-speech only) |
Mobile Number Strategies
Call Timing
Mobile users check their phones constantly but screen calls. Best windows:
- 11am-1pm — Lunch break, more likely to answer personal
- 5pm-7pm — After work, before dinner
- Avoid — 9-11am (work focus), after 8pm
Local Presence Dialing
Mobile users heavily screen unknown numbers. Local area codes answer 30-40% more:
- Match caller ID to recipient's area code
- Use dynamic number pools by region
- Maintain reputation on local numbers
SMS Integration
After unsuccessful calls, follow up with SMS:
- Introduce yourself before calling again
- Provide callback option
- Requires consent and 10DLC registration
Know before you call. Line type detection for smarter strategies.
Get Free API KeyLandline Number Strategies
Call Timing
Landlines are more likely to be answered during home hours:
- 6pm-8pm weekdays — After work, during dinner
- Saturday 10am-12pm — Weekend morning
- Avoid — Weekday work hours (unless business line)
Household Dynamics
Landlines may be answered by anyone in the household:
- Prepare scripts for reaching the right person
- "Is [Name] available?"
- Leave callbacks for specific individuals
Higher Answer Rates
Landline users screen less aggressively:
- Unknown numbers answered more often
- Toll-free numbers less suspicious
- CNAM display more prominent
VoIP Number Considerations
VoIP numbers require special handling:
- Business lines — May reach receptionist first
- Google Voice/Skype — Heavy screening, may not answer
- Fraud risk — Easier to obtain anonymously
- SMS variable — Some VoIP supports SMS, some doesn't
Segmentation Strategy
# Segment contacts by line type
def segment_contacts(contacts):
segments = {
'mobile_daytime': [],
'mobile_evening': [],
'landline_evening': [],
'landline_weekend': [],
'business': [],
'voip_review': []
}
for contact in contacts:
line_type = contact.line_type
if line_type == 'wireless':
segments['mobile_daytime'].append(contact)
segments['mobile_evening'].append(contact)
elif line_type == 'landline':
if contact.is_business:
segments['business'].append(contact)
else:
segments['landline_evening'].append(contact)
segments['landline_weekend'].append(contact)
elif line_type == 'voip':
segments['voip_review'].append(contact)
return segments
Measuring Results by Line Type
| Metric | Mobile | Landline |
|---|---|---|
| Answer rate | 15-25% | 25-40% |
| Right party rate | 85-95% | 60-80% |
| Conversion | Varies | Varies |
Best Practices
- Always check line type before campaign assignment
- Use local presence for mobile numbers
- Adjust call times based on line type
- Train agents on line-type-specific scripts
- Track metrics separately for mobile vs. landline
- Consider SMS as follow-up for mobile only