Creating a WhatsApp chatbot is a fantastic way to automate customer interactions and enhance engagement. While Landbot offers an intuitive, no-code platform to build these bots, it’s essential to understand the process before diving in. This guide takes you through the steps to create a WhatsApp chatbot using Landbot’s no-code builder, highlighting its features while also offering a glimpse of how Heltar’s WhatsApp API service can streamline your messaging needs more effectively.

Step 1: Set Up WhatsApp Bot Canvas
The first step in creating your chatbot is to set up the canvas, which is the visual space where you’ll design your bot’s flow. To start:
Navigate to the dashboard and click on the “Build a Chatbot” button.
Select WhatsApp as your desired channel, and you’ll be redirected to a template library where you can either start with a pre-existing template or build from scratch.
If you choose to start from scratch, you'll be prompted to set up your WhatsApp testing channel for testing the bot as you go.
Tip: Heltar offers a simpler setup process with seamless integrations and fewer limitations on testing channels, which may be more scalable as your bot expands.
Step 2: Set Up WhatsApp Testing Channel
Next, you’ll need to set up a testing channel on WhatsApp to connect with your bot. Here’s how:
Click on the WhatsApp icon in the navigation bar.
Add a new test number by choosing a name, entering a test number, and confirming.
Link the test number to your selected bot template for easy testing.
Step 3: Create Your First Block
Now it’s time to start building the conversation flow. The first blocks are preconfigured: "User Input" and "Reply Buttons." These blocks let you capture user responses and guide them through different actions. You can customize these blocks, for instance, by adding:
User Input: Captures the first interaction.
Keyword Jump: Directs users based on their responses.
Conditional Logic: Personalizes the conversation flow based on input, such as redirecting users based on their responses.
Step 4: Ask a Question (Text & Number)
Landbot allows you to ask questions using various formats, such as:
Text Question: Collects open-ended responses.
Number Question: For gathering numerical data like user age or preferences.
Step 5: Add Conditional Logic
With Landbot, you can easily split conversation paths based on conditions like age, location, or any other user input. By setting up conditions, such as:
"Greater than 17" for age validation.
Custom actions based on user responses.
Step 6: Add Buttons (Reply Buttons & List)
Landbot supports WhatsApp’s new button functionality, which allows you to create interactive menus:
Reply Buttons: Users can choose from a few options.
Buttons List: Displays a pop-up menu with multiple options.

Step 7: Add Media (Images, Videos, Links)
You can also add media such as images, videos, and links to enhance user experience. This is especially useful for promoting products or sending important content.
Landbot allows you to upload files directly, but Heltar provides better media handling across multiple communication channels for a more cohesive customer journey.
Step 8: Export Data to Google Sheets
Landbot lets you integrate Google Sheets for collecting data from users’ responses. You can assign variables to columns and export responses with ease. This is ideal for tracking user inputs in a structured format.
Step 9: Set Up Notifications (Email & Slack)
Notifications are essential for keeping track of important interactions. With Landbot, you can send:
Email Notifications: Alerts for new submissions or critical actions.
Slack Notifications: Notify your team instantly about incoming messages.
Step 10: Human Handoff Option
For more complex cases, Landbot allows you to offer human intervention through its "Human Takeover" feature. This ensures that users who need extra help are transferred to a live agent.
Step 11: Test Your Chatbot
Once the bot flow is set up, it’s time to test the chatbot to ensure it works as expected. Landbot provides a built-in testing feature, allowing you to check how your bot performs in real-time.
Why Choose Heltar over LandBot?
While Landbot offers a platform for building WhatsApp bots, Heltar stands out with its ease of use, intergration capabilities & customer support. Heltar’s platform provides businesses with more scalability, better analytics, and a smoother customer experience from start to finish.
A Detailed Tabular Comparison
Feature | Landbot | Heltar |
---|---|---|
Pricing | Starter: €40/month WhatsApp PRO: €200/month WhatsApp Business: €400/month | Plans starting as low as INR 1999/month, including CRM Platform and Chatbot Builder |
Chat Volume | Starter plan includes 500 chats/month; Additional chats at €0.05 each. | Unlimited Chat Volume, with just 5% markup per conversation over the Meta's official WhatsApp API charges (lowest in the industry) |
Integrations | Supports few integrations with Mailchimp, Segment, Stripe, and others | Full Access to Multiple Important & Relevant Integrations including Google Sheets, Shopify, Zoho etc. |
WhatsApp Channel | Not available in low tier plans | Available in all plans, targeted expertise in WhatsApp API |
Customization | Custom Bot Development option only available in higher plans | Fully Customisation available with a No code drag and drop chatbot builder |
User Limits | Have restrictive user limits (2-5 allowed for free) depending upon the plan | Unlimited Users allowed (No Limit) |
Additional User Charges | Upwards of €25/month per additional user | No Charges |
User Interface | Complex and Difficult to understand | Easy to use and understand UI, Intuitive and Comprehensible by non coders as well |
Support & Resources | Offers a knowledge center & community forum | Personalised Customer Support and Services round the clock |
For companies looking for a simple yet powerful solution to scale their WhatsApp business communication, Heltar is the clear choice. The ease of integration, superior customer support, and ability to handle complex requirements make it a more robust alternative to Landbot for businesses of all sizes.