SMS Gateway Center Desk
05/12/2025
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Have you ever wondered which SMS campaign performed better? Whether a different sender ID improved delivery? Or if changing your message content increased engagement? The A/B Test Comparator Report helps you answer these questions.

Why compare SMS campaigns?

Comparing campaigns helps you:

Identify what works and what doesn’t
Understand why some messages perform better
Optimize sender IDs, templates, and content
Improve delivery rates and reduce costs
Make informed decisions for future campaigns

What is the A/B Test Comparator Report?

A tool that lets you compare two SMS campaigns using their Transaction IDs. Enter two UUIDs and get a side-by-side comparison with metrics, visualizations, and recommendations.

Getting started: how to use the A/B Test Comparator

Step 1: Access the tool

Step 2: Enter your Transaction IDs

Campaign A: First Transaction ID
Campaign B: Second Transaction ID

Both Transaction IDs must exist in your account and have sent messages.

Step 3: Click Compare

The system validates both IDs and generates the comparison report.

Step 4: Analyze your results

Review the side-by-side metrics, charts, and recommendations.

Understanding your comparison dashboard

Campaign summary cards

Each campaign shows:

Total messages sent
Delivery rates (delivered vs failed)
DND hits and blocked/spam rates
Average delivery time
Total cost

Campaign details include:

Sender ID used
Sample message content
DLT Template ID
Campaign name (if available)

Timeline comparison chart

An interactive line chart shows delivered vs failed messages over time for both campaigns. Use it to:

Spot delivery patterns
Identify peak performance times
Compare trends across campaigns
Understand delivery consistency

The chart automatically adjusts granularity:

Hourly for campaigns under 48 hours
Daily for longer campaigns

Channel performance analysis

Compare how each channel (SMPP, API, UI) performs with:

Tabular data with delivery rates
Donut charts showing message distribution
Channel-specific insights

Use this to:

Identify the most reliable channel
Optimize channel selection
Understand channel-specific performance

Operator performance statistics

Compare top 20 operators with:

Delivery rates per operator
Total messages per operator
Visual donut charts
Operator-specific performance data

Use this to:

Identify operator-specific issues
Optimize routing
Understand regional performance

Circle performance analysis

Geographic insights showing:

Top 20 circles by performance
Circle-wise delivery rates
Visual distribution charts
Regional performance patterns

Use this to:

Understand geographic performance
Optimize targeting
Identify regional trends

AI-powered recommendations

Get automated insights that:

Identify the winning campaign
Explain why one performed better
Highlight key differentiators
Suggest optimization strategies

Real-world use cases

Use case 1: Testing different sender IDs

Scenario: You want to test if a branded sender ID improves delivery.

How to do it:

Send Campaign A with your regular sender ID
Send Campaign B with a branded sender ID
Compare both campaigns using the A/B Test Comparator
Analyze which sender ID had better delivery rates

What to look for:

Higher delivery rates
Lower failure rates
Better operator performance
Cost efficiency

Use case 2: Message content optimization

Scenario: You want to test different message variations.

How to do it:

Send Campaign A with your original message
Send Campaign B with a modified message (shorter, different CTA, etc.)
Compare both campaigns
Identify which message performed better

What to look for:

Delivery rates
Message length impact
Content effectiveness
Engagement patterns

Use case 3: DLT template performance

Scenario: You want to compare different DLT templates.

How to do it:

Send Campaign A with Template ID 1
Send Campaign B with Template ID 2
Compare both campaigns
See which template performs better

What to look for:

Delivery rates by template
Operator acceptance
Regional performance
Cost efficiency

Use case 4: Channel selection

Scenario: You want to determine the most reliable channel.

How to do it:

Send Campaign A via SMPP
Send Campaign B via API
Compare both campaigns
Analyze channel performance

What to look for:

Channel-specific delivery rates
Reliability metrics
Performance consistency
Cost comparison

Use case 5: Time-based optimization

Scenario: You want to find the best sending time.

How to do it:

Send Campaign A in the morning
Send Campaign B in the evening
Compare both campaigns
Identify optimal sending windows

What to look for:

Delivery rates by time
Peak performance periods
Operator availability
User engagement patterns

Best practices for A/B testing

1. Test one variable at a time

Sender ID
Message content
DLT template
Sending time
Channel

2. Use similar sample sizes

Ensure both campaigns have comparable volumes for fair comparison.

3. Consider timing

Account for sending time differences and external factors.

4. Review all metrics

Look beyond delivery rates:

Operator performance
Circle performance
Channel performance
Cost efficiency

5. Use recommendations wisely

AI recommendations are a starting point; combine with your business context.

Common mistakes to avoid

Mistake 1: Comparing dissimilar campaigns

Problem: Comparing campaigns with different audiences, volumes, or purposes.

Solution: Compare campaigns with similar characteristics for meaningful insights.

Mistake 2: Ignoring operator performance

Problem: Focusing only on overall delivery rates.

Solution: Review operator-specific data to identify issues and opportunities.

Mistake 3: Not considering costs

Problem: Focusing only on delivery rates without cost analysis.

Solution: Consider cost per message and total campaign cost.

Mistake 4: Rushing to conclusions

Problem: Making decisions based on limited data.

Solution: Gather sufficient data and consider multiple factors.

Interpreting your results

What makes a campaign successful?

A successful campaign typically shows:

High delivery rates (90%+)
Low failure rates (<5%)
Consistent performance across operators
Reasonable cost per message
Good geographic coverage

Red flags to watch for

Very low delivery rates (<70%)
High failure rates (>10%)
Poor operator performance
Inconsistent delivery patterns
High cost per message

Tips for optimization

1. Start with sender ID

A recognizable sender ID often improves delivery rates.

2. Optimize message content

Keep messages concise
Use clear CTAs
Avoid spam trigger words
Personalize when possible

3. Choose the right DLT template

Select templates that are:

Approved and active
Relevant to your content
Accepted by major operators

4. Select optimal channels

Test different channels to find the most reliable for your use case.

5. Time your campaigns

Send during optimal hours for your audience and operators.

Advanced features

JSON API endpoint

Access comparison data programmatically for:

Automated reporting
Integration with other tools
Custom analytics
Bulk comparisons

Export capabilities

Export comparison data for:

Further analysis
Reporting
Documentation
Sharing with your team

Security and privacy

Your data is secure: only you can access your campaigns
Transaction ID validation: ensures accurate comparisons
Rate limiting: prevents abuse and ensures system stability
User isolation: compare only your own campaigns

Getting help

If you need assistance:

Check the help documentation
Contact support
Review our knowledge base

Conclusion

The A/B Test Comparator Report helps you make data-driven decisions, optimize campaigns, and improve ROI. Use it to:

Compare campaigns side-by-side
Identify what works best
Optimize your messaging strategy
Improve delivery rates
Reduce costs

Start comparing your campaigns today and see the difference data-driven decisions can make.

About SMSGatewayCenter

SMSGatewayCenter is a trusted bulk SMS service provider helping businesses communicate effectively. Our platform offers tools and features to optimize your SMS campaigns and achieve better results.

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