Welcome messages are the first contact users have with your assistant. Configuring them correctly can significantly increase engagement and service effectiveness.
Welcome messages configuration
In the "Appearance" section, you will find the area dedicated to welcome messages:
Main message
- Purpose: The first message the assistant sends when the user opens the chat
- Effective examples:
- "Hi! I'm the virtual assistant of [Company Name]. How can I help you today?"
- "Welcome! Do you have questions about our products or services? I'm here to help you!"
- "Hello! I'm here to answer your questions. What do you need?"
Suggestion messages
- Purpose: Suggested questions that appear as clickable buttons
- Examples:
- "What are your opening hours?"
- "How can I contact support?"
- "Pricing information"
- "How does your service work?"
- Limit: Maximum 3-4 suggestions to avoid cluttering the interface
Automatic widget opening
This feature allows the widget to open automatically after a certain time from page loading.
Opening time configuration
- Value in seconds: Enter the number of seconds after which the widget will open
- Recommended values:
- 5-10 seconds for informational sites
- 15-30 seconds for e-commerce
- 60+ seconds for long content or blogs
- Disable: Enter -1 to disable automatic opening
Requirements for automatic opening
Important: Automatic opening only works if you have configured at least one welcome message. Without welcome messages, this feature is automatically disabled.
Best practices for welcome messages
Tone of voice
- Professional but friendly: Avoid being too formal or too informal
- Consistent with brand: Use the same tone as the rest of your communication
- Clear and direct: Immediately explain what the assistant can do
Effective content
- Introduction: Specify who the assistant is and which company it works for
- Value offered: Briefly explain how it can help the user
- Call to action: Invite the user to ask a question or choose a suggestion
Mistakes to avoid
- Messages too long that discourage reading
- Too many suggestions that confuse the user
- Language too technical or specific
- Too aggressive automatic opening (immediately at loading)
Testing and optimization
- A/B testing: Try different messages and opening times
- Metrics analysis: Monitor initial engagement rate
- User feedback: Collect opinions on welcome messages
- Continuous iteration: Improve messages based on collected data