![]() Your Facebook Messenger bots can make the ordering process seamless. A fashion brand can send out weekly fashion tips to customers.If you are a fitness brand or mental health app might send daily positive mantras in the morning.A bookstore might send out the weekly list of best sellers.Try out Sending Messages for Better Engagementĭepending on what type of brand you are, send weekly or daily messages to customers using Facebook Messenger Bots. What is your customer care contact number?.Start with creating a simple chatbot to respond to queries like ![]() You’ll be amazed how your live agents’ workload gets halved. It is the simplest yet one of the most useful ways to use a chatbot.ĪI chatbots can handle customer queries efficiently.įind out what customers ask you about the most, train the bot accordingly and implement them. Once you partner with an awesome bot-builder, get started with your Facebook Messenger Bots using any of these 7 ways. All you need to do is explore Konverse AI. There are several features that Konverse offers. Once identified you can reach them out proactively for higher conversion. Conversation Starter- This feature helps the bot to detect visitors with high-buying intent.It helps you cover as many customer queries as possible. FAQ– This feature suggests questions while training the bot. ![]() All you have to do is partner with a no-code chatbot builder like Konverse AI.Īt Konverse, we not only make building chatbots easy, but we also offer features that help in training the bot as well. The best thing about Facebook Messenger bots is that they are super easy to use. 7 Ways to Help you Get Started with Facebook Messenger Bots So, why wait?! Let’s hop right into the details of Facebook Messenger bots and Facebook Chatbot Marketing! That means, if you start with Facebook Chatbot marketing, you can tap into the massive customer base that’s out there. Currently, there are over 300,000 Facebook Messenger bots engaging customers now and then. Then create a Facebook Messenger bot and gear up for some Facebook chatbot marketing.įacebook Messenger statistics have disclosed that over 20 billion messages are exchanged monthly between customers and brands. Well, a massive audience of 1.3 billion is waiting. ![]() 23 const = process.Hinking of ways to grow your business? □ Inside the newly created directory, run the following command in the terminal to initialize the project with a package.json file.ġ const fetch = require ( 'node-fetch' ) Ģ 3 // You can find your project ID in your Dialogflow agent settings 4 const projectId = '' // 5 const sessionId = '123456' ħ 8 const dialogflow = require ( 'dialogflow' ) ġ2 private_key : _PRIVATE_KEY,ġ3 client_email : _CLIENT_EMAILġ6 17 const sessionClient = new dialogflow.SessionsClient(config) ġ8 19 const sessionPath = ssionPath(projectId, sessionId) Ģ0 21 // Remember the Page Access Token you got from Facebook earlier? 22 // Don't forget to add it to your `variables.env` file. To get started, create a new directory for the bot we will build. The webhook provides the core of your chatbot experience as it is how your bot gets notified of the various interactions and events that happen, including when someone sends a message. The first step to creating a Messenger bot is to create a server that will be provided as a webhook when setting up the bot. No prior experience with building chatbots is necessary, but you need a basic understanding of JavaScript to be able to complete this tutorial Set up your webhook server Prerequisitesīefore you continue, you need to have Node.js and npm installed. They both provide several NLP functions that parse user input and match them to the right response without any coding. Of these platforms, Dialogflow (formerly known as Api.ai) and Wit.ai are the most popular today. Implementing NLP in your bot can be pretty difficult, but there are several platforms that make it much easier. Many chatbots leverage Natural Language Processing (NLP) to interpret the intent of a customer’s input, allowing the bot to give an accurate response. You can find the entire source code of the application on this GitHub repository. In this tutorial, I will describe how you can build a Facebook Messenger chatbot that incorporates NLP with Dialogflow and deploy it to Facebook.
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