BrandVox AI Documentation
Support BV

Personality

Define how your Support BV communicates with customers

Support BV Personality

Your Support BV's personality determines how it communicates with customers, ensuring it represents your brand authentically and creates positive experiences.

Quick Setup

Access Personality Settings

From your BrandVox dashboard, go to Support BV > Personality tab.

Choose a Template

Select a preset that matches your brand, or create a custom personality.

Test & Refine

Use the conversation simulator to test responses before applying changes.

Personality Templates

Choose from pre-configured templates or customize your own:

Best for: B2B, financial services, legal, healthcare

Characteristics: Formal language and complete sentences, Minimal contractions, No emojis or slang, Precise terminology

Example:

"Thank you for your inquiry. I would be happy to assist you with information about our enterprise solutions."

Best for: E-commerce, retail, consumer services

Characteristics: Warm, approachable language, Balanced professionalism, Occasional emojis, Conversational phrases

Example:

"Hi there! 😊 I'd be happy to help you find the perfect product. What are you looking for today?"

Best for: Youth brands, lifestyle, entertainment

Characteristics: Informal, conversational, Frequent emojis, Relaxed, fun communication

Example:

"Hey! 👋 That's awesome! Let's find exactly what you need."

Define your own parameters: Formality level (1-10), Emoji usage frequency, Sentence structure, Industry-specific terms

Key Configuration Options

Tone of Voice

Control how formal or casual your Support BV sounds:

  • Professional - Formal, precise language
  • Friendly - Balanced warmth and professionalism (recommended)
  • Casual - Informal, conversational style

Response Style

SettingWhen to Use
BriefQuick questions, mobile users
BalancedMost use cases (recommended)
DetailedComplex topics, first-time users

Empathy Level

How the Support BV responds to customer emotions:

Customer: "I'm frustrated my order hasn't arrived."

Response: "Your order shipped on the 15th. Expected delivery is tomorrow."

Customer: "I'm frustrated my order hasn't arrived."

Response: "I understand waiting can be frustrating. Let me check the status. It shipped on the 15th and should arrive tomorrow."

Customer: "I'm frustrated my order hasn't arrived."

Response: "I'm really sorry you're experiencing this frustration. Let me look into this right away and see how I can help make this right."

Emoji Usage

SettingFrequencyBest For
None0Professional industries
Minimal0-1 per messageConservative brands
Moderate1-2 per messageMost businesses
Frequent2-4 per messageLifestyle brands

Custom Phrases

Define how Support BV handles common situations:

SituationCustomize
Greeting"Hi there! How can I help?"
Closing"Is there anything else?"
Apology"I apologize for the inconvenience."
Unknown"Let me find someone who can help."

Testing Your Personality

Conversation Simulator

Test how personality settings affect responses:

Test Scenarios:

  1. Simple question (e.g., "What are your hours?")
  2. Problem/complaint (e.g., "My order is late")
  3. Complex inquiry (e.g., "Help me choose between products")
  4. Positive feedback (e.g., "I love your products!")

Best Practices

  • Know Your Audience - Match customer expectations
  • Stay Authentic - Don't force a personality that doesn't fit your brand
  • Monitor & Refine - Review conversations regularly and adjust based on feedback
  • Consider Context - Be more empathetic when customers are frustrated

Continuous Improvement

The best personalities evolve based on customer feedback. Plan to review and refine quarterly.

Common Mistakes to Avoid

Too Formal

Problem: Customers feel like they're talking to a robot

Solution: Add warmth, use contractions, acknowledge emotions

Too Casual

Problem: Brand seems unprofessional

Solution: Increase formality, reduce emojis, use complete sentences

Inconsistent Tone

Problem: Personality varies between conversations

Solution: Use personality presets, monitor consistency, refine training data

Troubleshooting

Next Steps