A/B Testing your call agents

Why Test Call Agents?

Voice conversations are different from chat:

• Can’t easily “look back” at information
• Tone and pacing matter greatly
• Interruptions are common
• Real-time decision making

What to test:

• Greetings and openings
• Voice selection
• Conversation flow
• Qualification questions
• Objection handling
• Call-to-action

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Setting Up Voice Tests

Create Variations

Method: Duplicate & Modify

1. Duplicate existing call funnel
2. Change ONE variable:

• Different greeting
• Alternative voice
• New questioning approach
• Different closing

1. Keep everything else identical

Example test:

Variation A: "Hello! Thanks for calling Acme Software. 
              This is Michael, your AI assistant."

Variation B: "Hi there! You've reached Acme Software. 
              My name is Michael and I'm here to help."

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What to Test

Test 1: Opening Greeting

Long vs Short:

Variation A (Detailed):

"Hello! Thanks for calling Acme Software. This is Michael, 
your AI assistant. I'm here to help you learn about our 
project management solutions and answer any questions you 
might have. How can I help you today?"

Variation B (Concise):

"Hi! Thanks for calling Acme Software. I'm Michael. 
How can I help you today?"

Measure:

• Caller engagement
• Early hang-ups
• Confusion rate
• Lead conversion

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Test 2: Voice Selection

Professional vs Friendly:

Voice A: Rachel

• Professional, clear
• American accent
• Moderate pace
• Higher pitch (female)

Voice B: David

• Warm, conversational
• American accent
• Slightly slower
• Lower pitch (male)

Measure:

• Call duration
• Caller comfort (qualitative)
• Completion rate
• Lead quality

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Test 3: Qualification Timing

Early vs Late:

Variation A (Early Qualification):

AI: "Thanks for calling! Before I share details, can I 
     ask - what's your company size?"
(Qualifies before presenting)

Variation B (Late Qualification):

AI: "Thanks for calling! I'd love to tell you about our 
     solutions. What specifically interests you?"
(Builds rapport first, qualifies later)

Measure:

• Qualification completion rate
• Call abandonment
• Lead quality
• Sales conversion

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Test 4: Objection Handling

Empathetic vs Direct:

Variation A (Empathetic):

Caller: "That's too expensive."

AI: "I completely understand - budget is always a concern. 
     Many of our customers felt the same way initially. 
     What they found was that the time saved actually paid 
     for the software in the first month. Can I share how?"

Variation B (Direct):

Caller: "That's too expensive."

AI: "Our Growth plan is $49 per user, which is about $1.60 
     per day. Most customers save 5+ hours per week. That's 
     worth far more than $49. Would you like to see a demo?"

Measure:

• Objection overcome rate
• Call continuation
• Booking rate
• Actual sales

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Test 5: Appointment Booking

Immediate vs Soft:

Variation A (Immediate):

"Perfect! Let me schedule a demo for you. I have Thursday 
at 2 PM or Friday at 10 AM available. Which works better?"

Variation B (Soft):

"That's great! Would it be helpful to schedule a quick demo 
with our team to see this in action? It only takes 15 minutes."

Measure:

• Booking acceptance rate
• Show-up rate
• Demo-to-sale conversion

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Running Call Tests

Traffic Splitting

Option 1: Time-Based

• Variation A: Week 1-2
• Variation B: Week 3-4
• Compare results

Option 2: Alternating

• Variation A: Mon, Wed, Fri
• Variation B: Tue, Thu, Sat
• Account for day-of-week patterns

Option 3: Different Numbers

• Variation A: Number ending in …555
• Variation B: Number ending in …777
• Use in different campaigns

Automatic splitting (Coming Soon):

• 50/50 call distribution
• Real-time results
• Statistical tracking

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Tracking Results

Call Metrics

Volume Metrics:

• Total calls received
• Calls answered
• Average call duration
• Abandoned calls
• Voicemails left

Engagement Metrics:

• Questions asked by caller
• Conversation turns
• Interruptions (caller engaged)
• Qualification completion rate

Conversion Metrics:

• Leads captured
• Qualified leads
• Appointments booked
• Lead score average
• Sales closed

Quality Metrics:

• No-answer rate
• Transfer requests
• Callback requests
• Caller satisfaction (if collected)

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Analysis Framework

Compare Variations

Create comparison:

Metric	Variation A	Variation B	Winner
Total Calls	150	150	Tie
Avg Duration	3:45	4:15	B (+13%)
Qualification Rate	65%	72%	B (+11%)
Leads Captured	98	108	B (+10%)
Qualified Leads	45	62	B (+38%)
Appointments	28	35	B (+25%)
Lead Score Avg	62	71	B (+15%)

Variation B is the clear winner! 🎉

Listen to Samples

Qualitative analysis:

1. Listen to 10-20 calls from each variation
2. Note patterns:

• Where callers engaged more
• Where confusion happened
• What worked well
• What felt awkward

1. Look for:

• Natural flow
• Caller comfort
• Information retention
• Action taken

Example insight:

"In Variation B, callers seemed more comfortable because 
the AI asked permission before qualifying them. The 
softer approach led to more openness and better information 
sharing, resulting in higher quality leads despite similar 
call volumes."

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Statistical Significance

Ensure valid results:

Minimum requirements:

• ✅ 100+ calls per variation
• ✅ Run for 2+ weeks
• ✅ Similar call sources
• ✅ Same time periods

Confidence level:

• 95%+: Very confident winner
• 90-95%: Likely winner
• Below 90%: Need more data

Use A/B test calculator:

• Enter calls and conversions
• Get confidence level
• Make data-driven decision

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Implementing Winners

Roll Out Changes

After confirming winner:

1. Document results:

• What was tested
• What won
• Why it won
• % improvement

1. Apply to main funnel:

• Update live call agent
• Archive losing variation
• Monitor performance

1. Share learnings:

• Train team on findings
• Apply to other agents
• Document best practices

1. Plan next test:

• What to optimize next
• New hypothesis
• Schedule test

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Advanced Testing

Multi-Variable Testing

Test multiple elements:

Example: 2×2 test

• 2 greetings × 2 voices = 4 variations

Variation	Greeting	Voice	Calls	Conv. Rate
A	Long	Rachel	100	28%
B	Long	David	100	32%
C	Short	Rachel	100	35%
D	Short	David	100	41%

Winner: Short greeting + David voice

Requires:

• More traffic
• Longer test period
• More complex analysis

Sequential Testing

Continuous optimization:

Month 1: Test greetings

• Winner: Short greeting

Month 2: Test voices (with short greeting)

• Winner: David voice

Month 3: Test qualification timing (with short + David)

• Winner: Early qualification

Month 4: Test objection handling (with all above)

• Winner: Empathetic approach

Result: Compounding improvements over time

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Voice-Specific Considerations

Things Chat Can’t Test

Unique to voice:

• Tone of voice
• Speaking pace
• Pause timing
• Interruption handling
• Background noise tolerance
• Accent understanding

Test these too:

• Different speaking speeds
• More/less pause time
• How AI handles interruptions
• Multiple accents (via test calls)

Caller Context Matters

Consider:

• Who’s calling:
• Cold caller
• Website visitor
• Returning customer
• When they call:
• Business hours
• After hours
• Weekday vs weekend
• Why they call:
• Sales inquiry
• Support question
• Appointment booking
• General information

Different contexts may need different approaches.

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Testing Checklist

Before testing:

• ☐ Clear hypothesis (“I think X will increase Y by Z%”)
• ☐ ONE variable changed
• ☐ Success metrics defined
• ☐ Minimum sample size calculated
• ☐ Testing period scheduled

During testing:

• ☐ Monitor call quality
• ☐ Track metrics daily
• ☐ Listen to sample calls
• ☐ No other major changes made
• ☐ Equal traffic to variations

After testing:

• ☐ Statistical significance confirmed
• ☐ Results documented
• ☐ Winner implemented
• ☐ Team informed
• ☐ Next test planned

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🎯 Pro Tips

Quick Wins:

1. Keep greetings under 10 seconds
2. Ask permission before qualifying
3. Use natural language, not scripts
4. Test different voices for your audience
5. Listen to first 20 calls carefully

Advanced Strategies:

1. Segment by caller type
2. Time-based routing (different hours)
3. Regional voice matching
4. Industry-specific scripts
5. Multi-language auto-detection

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Last Updated: December 10, 2024
Version: 1.0

Build voice agents that convert calls into customers! 📞🤖