First-Time Chat Reactions

Overview

First-time chat message reactions create special moments for regular viewers by acknowledging their initial messages in your stream. This unique reaction type differs from others by operating on a per-user basis, allowing you to craft personalised responses for specific community members.

Understanding First-Time Chat Reactions

These reactions serve as powerful tools for community engagement, enabling streamers to create memorable moments when targeted viewers first participate in chat. Unlike other reaction types that respond to general events, first-time chat reactions are specifically configured for individual users, making them particularly effective for recognising valued community members.

Initial Configuration Process

The setup begins at the reaction configuration panel, where you’ll select “first chat message on stream” from the available options. The system will prompt you to enter a specific username, creating a dedicated reaction for that viewer’s first chat message. This user-specific approach allows for highly personalised engagement strategies.

Available Reaction Types

When configuring a first time chat reaction, you can choose from several response types:

• Text/TTS - Text or voice responses
• Shoutout - Automated viewer recognition
• Audio - Sound effects and music
• Image - Visual elements and graphics
• Video - Video clip playback
• Switch Personality - AI personality changes
• Multimedia - Combined media responses
• Random List Items - Randomised content selection
• OBS Control - Stream scene management

Select any reaction type above to view its detailed configuration guide.

Text/TTS Configuration Process

For the purposes of this guide, we will be using the Text/TTS reaction type.

Description Field Configuration

While optional, the description field proves particularly valuable for first-time chat reactions. Consider including specific details about the viewer and your intended response strategy. For example: “Welcome response for community artist [username]” or “Special recognition for long-time lurker [username]”. These descriptions help manage multiple user-specific reactions effectively.

AI Response System Integration

The AI response system offers two approaches to acknowledging first-time chat messages:

When disabled, you’ll create a static response tailored to the specific viewer. This approach works well when you have particular information or inside references you want to include in your welcome message.

When enabled, the AI generates dynamic responses based on your instructions, using one AI token per generation. This option proves useful for creating varied yet personalised responses that maintain their freshness while acknowledging the viewer’s first message.

Response Configuration Details

Static Response Development

Creating static responses for first-time chat messages requires careful consideration of your relationship with the viewer. Consider incorporating:

• References to their known interests or contributions to the community
• Acknowledgment of their previous support through lurking or other platforms
• Welcoming messages that encourage further engagement

AI-Guided Response Creation

When using AI-generated responses, provide clear instructions that help the system create appropriate welcomes. Your instructions might include:

• Known information about the viewer’s interests or background
• Preferred tone and style for addressing this particular community member
• Specific topics or references to include or avoid

Audio-Visual Integration

The Text-to-Speech system adds an auditory dimension to your welcome messages. Consider how different TTS voices or styles might enhance the personalised nature of these reactions. The combination of text and audio can create particularly memorable moments for viewers’ first chat interactions.

Technical Considerations

User Management

First-time chat reactions require careful management of user-specific configurations:

• Each viewer can have only one active first-time chat reaction
• Multiple reactions can exist simultaneously for different viewers
• Reactions trigger only once when the specified user first chats

Performance and Resource Management

When implementing multiple first-time chat reactions:

• Consider the cumulative impact on system resources
• Monitor AI token usage if implementing AI responses across multiple users
• Plan for scenarios where multiple first-time chatters might appear in quick succession

Reaction Timing

Consider the timing of these reactions in relation to other stream events:

• Ensure reactions don’t overlap with other automated responses
• Account for potential delays in TTS delivery
• Plan for concurrent chat activity during the reaction

Maintenance and Updates

Regular review of your first-time chat reactions helps maintain their effectiveness:

• Periodically review and update user-specific reactions
• Remove or modify reactions for users who have already triggered them
• Update reaction content to reflect changes in your relationship with specific viewers

Best Practices

Creating effective first-time chat reactions involves several key considerations:

• Craft responses that feel genuinely personal rather than generic
• Balance between celebrating the moment and maintaining stream flow
• Consider the viewer’s known preferences about public recognition
• Create reactions that encourage natural conversation continuation

Remember that first-time chat reactions serve as powerful tools for strengthening community bonds. Each reaction should feel special and personalised while maintaining appropriate boundaries and respect for the viewer’s comfort level with public recognition.