![]() ![]() Step #9 (optional): Sync new leads with your CRM Repeat this process until you’ve replaced all your placeholder text with video clips. We’ll fetch each video’s URL in Dropbox by clicking “Share” and “Copy Link,” then pasting it into Chatfuel’s corresponding VIDEO plugin. mp4 format.) Step #8: Add clips to Chatfuelįinally, let’s substitute the placeholder text with our video clips! Add the VIDEO plugin.Īlso, we need to replace the “in the Dropbox URL. Remember, renaming your video clips to match the script’s numbering system will expedite the next step! Step #7: Upload videos to DropboxĪfter testing the placeholder bot to your satisfaction, upload your video clips to Dropbox. Here’s the estimate pricing chart I’m using for reference… Now, we’ll define the conditions that determine who gets what estimate. So far, we’ve saved users’ answers to the qualifying questions. Repeat this step for all your qualifying questions. This plugin is the mechanism that will save users’ responses to specified variables, which we’ll eventually use to determine their personalized estimate. Step #5: Set up user attributesĪfter creating a QUESTIONS block, which is where we’ll redirect users who type “yes,” add a USER INPUT plugin. You don’t want to record the whole script, then later realize it won’t make logistical sense in the bot. Ultimately, the goal of this step is to ensure your script is compatible with the user flow in Chatfuel. Since we don’t have any video clips recorded yet, let’s use text as placeholder content. Next, we’ll convert the script for our video chatbot into a functional user experience. Step #4: Build your bot's flow in Chatfuel Lastly, I’ll write down every possible estimate outcome. This will help us stay organized later when importing and matching our video clips in Chatfuel. Users must enter an input before advancing to the next “field” of the lead gen form.Īs shown above, it’s best practice to number each unique sound bite in the script. Remember to include a clear call-to-action at the end of each video clip. Step #3: Write your video chatbot's scriptĪt this point, let’s translate our basic flowchart into a full-fledged script for the narrator. Now that you know what questions your chatbot will be asking users, it’s a good idea to visually map out the sequencing and logistics of the conversation.Įach user’s number of bedrooms and bathrooms will determine the cost of their estimate. Step #2: Map out your video chatbot’s flow In this example, I’ll need to collect the following information before the chatbot can give users an estimate. Step #1: Determine your qualifying questionsįirstly, you need to ask yourself: “What data do I need to capture from each user?” The bot’s goal is simple: to qualify users and, based on their responses, provide them a free estimate of the services in question. The ideal use cases for a video chatbot are lead generation and customer support, but this tutorial will focus exclusively on lead generation.įor context, the chatbot I’m building here is for a home cleaning service in Australia. In this tutorial, I’ll teach you how to build a video chatbot for Facebook Messenger that will automatically convert users who message your business page into warm leads. ![]()
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