Effortless A/B Split Testing with AI-Powered Chat
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Automate A/B split testing for your chat interactions using AI. This workflow intelligently routes users to different conversational paths, allowing you to gather data and optimize user experiences seamlessly. Leverage AI to personalize responses and discover what resonates best with your audience.
About This Workflow
This n8n workflow empowers marketers and developers to implement sophisticated A/B split testing directly within chat applications. It begins by receiving a chat message and its associated session ID. The system then checks if a session already exists; if not, it assigns the user to either a baseline or an alternative conversational path using a 50/50 random split. This path then dictates the prompt sent to an AI agent (powered by OpenAI's GPT-4o-mini), which generates a personalized response. Chat history is maintained using a Postgres database, ensuring context is preserved across interactions. This dynamic approach allows for continuous experimentation and optimization of chatbot conversations to improve engagement and achieve marketing goals.
Key Features
- Automated A/B Path Assignment: Randomly assigns users to different conversational flows for testing.
- AI-Powered Response Generation: Utilizes advanced language models (e.g., GPT-4o-mini) for dynamic and context-aware replies.
- Session Management: Tracks user sessions to ensure consistent experience and data collection.
- Flexible Prompt Definition: Easily customize baseline and alternative prompt values for tailored testing.
- Persistent Chat History: Leverages PostgreSQL for reliable storage and retrieval of conversation logs.
How To Use
- Configure Chat Trigger: Set up the 'When chat message received' node to listen for incoming messages and capture
chatInputandsessionId. - Define Path Values: In the 'Define Path Values' node, customize the
baseline_valueandalternative_valuestrings to represent the different conversational paths you want to test. - Check Session Existence: The 'Check If Session Exists' node (using Supabase) determines if a user session has already been established. Ensure your Supabase connection is correctly configured.
- Assign Path: If no session exists, the 'Assign Path To Session' node (using Supabase) randomly assigns a
show_alternativeboolean value (true/false) to the session, determining which path the user will follow. - Get Correct Prompt: The 'Get Correct Prompt' node dynamically selects either the
baseline_valueoralternative_valuebased on the assignedshow_alternativestatus. - AI Agent Interaction: The 'AI Agent' node takes the determined prompt and the user's input to generate a response. You can swap the 'OpenAI Chat Model' node with another language model if needed.
- Chat Memory: The 'Postgres Chat Memory' node stores the conversation history for each session, ensuring context is maintained. Configure your PostgreSQL connection to a Supabase instance.
- Connect Nodes: Ensure all nodes are connected sequentially as shown in the workflow diagram, with the 'If Session Does Exist' node branching the logic appropriately.
Apps Used
Workflow JSON
{
"id": "6030b844-3877-4905-9c3d-7d480ab04a17",
"name": "Effortless A/B Split Testing with AI-Powered Chat",
"nodes": 10,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 6030b844-3877...
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