When is the Best Time to Send RCS Messages?
Best times are 10 AM-12 PM and 6 PM-8 PM in the recipient's time zone. Tuesday, Wednesday, and Thursday perform best. Avoid early morning, late evening, and Mondays. For time-sensitive messages (cart abandonment, appointments), send immediately regardless of timing.
Key Points
- { "Best times": "10 AM-12 PM and 6 PM-8 PM" }
- { "Best days": "Tuesday, Wednesday, Thursday" }
- { "Avoid": "early morning, late evening, Mondays" }
- { "Time-sensitive messages": "send immediately" }
- Always use recipient's local time zone
RCS Send Time Optimization: When to Message
Timing matters. Here's when your RCS messages will get the most engagement.
Best Times of Day
Peak engagement windows:
10 AM - 12 PM (Mid-Morning)
- Open rates: 60-75%
- Click-through rates: 10-15%
- Why: People settled into workday, checking phones
- Best for: B2B messages, product announcements, promotions
6 PM - 8 PM (Evening Commute)
- Open rates: 55-70%
- Click-through rates: 8-13%
- Why: End of workday, commuting, checking personal messages
- Best for: Retail promotions, entertainment, food delivery
Secondary windows:
2 PM - 4 PM (Mid-Afternoon)
- Open rates: 45-60%
- Click-through rates: 7-12%
- Why: Post-lunch energy dip, phone checking
- Best for: Reminders, follow-ups
8 PM - 9 PM (Early Evening)
- Open rates: 40-55%
- Click-through rates: 6-10%
- Why: Dinner time, relaxed browsing
- Best for: Lifestyle, entertainment, dining
Times to Avoid
Before 9 AM:
- Open rates: 20-35%
- Feels intrusive
- May trigger complaints
- Regulatory issues in some regions
12 PM - 1 PM (Lunch Hour):
- Open rates: 30-45%
- People are busy eating, in meetings
- Lower engagement
After 9 PM:
- Open rates: 15-30%
- Intrusive, annoying
- Regulatory requirement: don't send 9 PM - 8 AM in many regions
- High opt-out risk
10 PM - 8 AM:
- Generally prohibited or strongly discouraged
- Can result in carrier fines
- Damages brand perception
Best Days of the Week
Tuesday:
- Open rates: 55-70%
- People settled into week
- High engagement across industries
- Best overall day for most campaigns
Wednesday:
- Open rates: 55-70%
- Mid-week, peak productivity
- Excellent for B2B and consumer
- Strong click-through rates
Thursday:
- Open rates: 50-65%
- End of week approaching
- Good for promotions, events
- Strong conversion rates
Monday:
- Open rates: 35-50%
- People catching up from weekend
- Busy, distracted
- Lower engagement
Friday:
- Open rates: 40-55%
- People checking out mentally
- Weekend planning mode
- Good for entertainment, dining
- Poor for B2B
Weekend:
- Open rates: 30-45% (Saturday), 35-50% (Sunday)
- Depends on industry
- Good for: retail, dining, entertainment
- Poor for: B2B, financial services
Industry-Specific Timing
E-Commerce:
- Best: Tuesday-Thursday, 10 AM-12 PM and 6 PM-8 PM
- Flash sales: Anytime (time-sensitive)
- Cart abandonment: Immediate + 24h follow-up
- Weekend promotions: Saturday 11 AM-1 PM
B2B / Professional Services:
- Best: Tuesday-Thursday, 10 AM-12 PM and 2 PM-4 PM
- Avoid: Weekends, after 5 PM
- Appointment reminders: 24-48 hours before
Healthcare:
- Appointment reminders: 24-48 hours before, 10 AM-12 PM
- Prescription refills: Morning, weekdays
- Test results: Afternoon, weekdays
- Avoid: Evenings, weekends (unless urgent)
Financial Services:
- Transactional: Immediate
- Fraud alerts: Immediate (regardless of time)
- Marketing: Tuesday-Thursday, 10 AM-12 PM
- Account updates: Weekday mornings
Restaurants:
- Lunch promotions: 10 AM-11 AM
- Dinner promotions: 3 PM-5 PM
- Weekend brunch: Friday evening, Saturday morning
- Reservations: 24 hours before
Retail:
- New arrivals: Tuesday-Thursday, 10 AM-12 PM
- Sales: Friday evening, Saturday morning
- Loyalty rewards: First Monday of month, 10 AM
- Flash sales: Immediate
Time Zone Considerations
Always use recipient's local time zone:
- Don't send at 10 AM EST to someone in PST (that's 7 AM their time)
- Use customer data to determine time zone
- Adjust for daylight saving time
Multi-region campaigns:
- Segment by time zone
- Stagger sends appropriately
- Consider regional preferences (lunch times vary by culture)
Special Timing Scenarios
Cart abandonment:
- Send immediately (1-3 hour window is critical)
- Follow up at 24 hours if no conversion
- Final reminder at 72 hours
- Don't worry about "optimal time" — speed matters more
Appointment reminders:
- 24-48 hours before appointment
- 1-2 hours before appointment (confirmation)
- Send during business hours
Shipping updates:
- Send when status changes (immediate)
- Delivery day: morning for "out for delivery"
- Delivery confirmation: immediate
Event-based:
- Event reminders: 1 week, 1 day, 1 hour before
- Ticket sales: When they go on sale
- Limited offers: Immediately when launched
A/B Testing Send Times
Test different times with small segments:
Test setup:
- Segment A: 10 AM send
- Segment B: 6 PM send
- Measure: open rate, click rate, conversion, opt-out
What to measure:
- Open rate by send time
- Click-through rate by send time
- Conversion rate by send time
- Opt-out rate by send time
- Revenue per message by send time
Duration:
- Run test for 2-4 weeks
- Account for day-of-week variations
- Consider seasonal patterns
Dynamic Send Time Optimization
Advanced RCS platforms offer AI-powered send time optimization:
How it works:
- Platform learns when each recipient typically engages
- Sends messages at individual optimal times
- Continuously improves based on engagement data
Benefits:
- 20-40% higher engagement vs fixed send times
- Personalized for each recipient
- Automatic optimization
When to use:
- You have 10,000+ recipients
- You send 4+ messages per month
- You have 3+ months of engagement data
The Bottom Line
For most campaigns: Tuesday-Thursday, 10 AM-12 PM or 6 PM-8 PM in recipient's time zone. For time-sensitive messages: send immediately, don't wait for "optimal" time. And always test and optimize based on your specific audience engagement patterns.
The best send time is when your specific customer is most likely to engage. Use data to find that window, then respect it.
Need help optimizing your send times? I can analyze your engagement data and recommend optimal timing strategies for your campaigns.
Related Questions
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