How to Create Chatbots for Lead Generation, Customer Support, and FAQs? 🤖 | WhatChimp Basics
How to Create a Chatbot
Introduction to Chatbots
- Anand introduces the concept of chatbots, emphasizing their utility in qualifying leads and addressing frequently asked questions.
- He explains that chatbots are triggered by user messages containing specific keywords, highlighting the importance of keyword selection.
Setting Up the Chatbot
- The process begins in the Bot Manager, where users can create a chatbot through a flow builder interface.
- Anand discusses setting triggers for the chatbot activation based on keywords like "hello," "hi," or "hey."
Keyword Matching Techniques
- Two types of keyword matching are explained: exact match (where messages must be identical) and string match (where partial matches are acceptable).
- For example, using string match allows variations like "I need support" to trigger the bot if "support" is included.
Designing User Interaction
- Users can tag new contacts as leads when they first message, indicating potential interest in products or services.
- The chatbot's initial response acknowledges user messages with personalized greetings.
Enhancing User Experience with Delays
- Anand mentions an option to delay responses for a more natural interaction feel; however, he opts for immediate replies in this demonstration.
Demonstration of Functionality
- A live demo shows how sending greetings like "Hi" or "Hey" activates the chatbot due to string matching capabilities.
Adding Interactive Elements
- Anand introduces interactive blocks that allow adding buttons for user actions within chatbot responses.
- He emphasizes that while only three buttons can be created at once, there are workarounds available.
Configuring Button Actions
- The video details creating buttons labeled “sales” and defining actions such as sending follow-up messages or tagging users based on button clicks.
How to Enhance Customer Interaction with Chatbot Features
Implementing Actionable Buttons in Chatbots
- When a customer clicks on the support button, they receive a label that helps filter contacts based on their interests, making it easier to manage leads.
- It's essential to connect buttons with actions; leaving them empty will result in errors. Each button must trigger a subsequent action or message.
- Adding interactive blocks allows for tailored responses, such as inquiries about pricing. Labels like "pricing" help identify warm leads interested in specific information.
- Additional buttons can be created for different actions (e.g., "talk to sales"), which also receive labels for easy tracking of customer requests.
- If an action is not connected to a button, it cannot be saved. A default message should be set up if no other action is specified.
Testing and Monitoring Customer Engagement
- After setting up the chatbot, testing through platforms like WhatsApp allows real-time interaction and feedback from users.
- Users can select options (like sales or support), leading them through predefined paths that enhance user experience and data collection.
- The dashboard reflects user interactions live, showing applied labels based on choices made during the conversation, aiding sales teams in identifying interested customers.
Exporting and Importing Chatbot Templates
- To share the created chatbot, exporting it as a downloadable file enables others to import it into their dashboards easily.
- The import process involves selecting the template and refreshing the page after saving to ensure it's correctly added to the system.
Managing Labels Post Import
- Imported templates may lose assigned labels; users need to manually reassign these labels within their dashboards for effective lead management.
- It’s crucial to verify that all necessary labels are recreated post-import so that functionality remains intact when qualifying leads.
Qualifying Leads Through Interactive Engagement
- Engaging questions help qualify incoming leads by assessing their fit for products before passing them onto sales teams for follow-up.