When Facebook launched its Messenger platform, developers could build chatbots for customers. At the end of 2016, the platform had more than 34,000 bots available to use. The bots are built to answer customer questions and give recommendations based on what the user asks them. One example is travel fare aggregator Kayak, which provides personalized travel suggestions based on the user's preferences. Users can narrow their travel needs by entering a single keyword, but this is not always helpful.
For example, if a person visits your Facebook business page, they might message your page if they have any questions. When a Messenger bot answers a question, the customer receives an answer in the form of an automated response. This type of customer service makes it possible for customers to contact businesses without leaving the platform. By creating a Messenger bot, customers can ask questions about a company's products or services, and the bot will answer them accordingly.
Once a customer contacts your bot, they should have a way to switch to a human agent. Ideally, they should be able to seamlessly switch between chatbot and human agents. The Facebook Messenger platform is designed to integrate seamlessly with the current processes of a business. When an agent is contacted through the bot, they should be able to handle escalations. The goal is to provide the customer with a seamless experience.
A Messenger bot should be designed to answer the questions that customers want to ask. This is where the chatbot comes in. The Facebook Messenger bots will respond to these questions and offer suggestions based on the user's answers. These bots will be able to answer questions that users have about products and services, and the chatbot will be able to recommend products that are best for them. Aside from answering a customer's question, it will also be able to give recommendations based on the answers.
A messenger bot should be able to respond to a variety of messages. The bot should be able to answer a wide range of questions from simple to complex. The message should include the capabilities of the bot, so that it can respond to the questions that customers ask. In addition to this, it should be able to provide assistance to people with various needs. The Messenger chatbot should also be able to handle escalations.
After a bot has been approved by Facebook, it can be published. Once published, the chatbot will be visible to Facebook users. The bot's Facebook Page must be published for the bot to work. This will allow other Messenger users to interact with the bot. Once approved, the Messenger Bot will begin sending and receiving messages. It will also have an option to reply to Facebook users. When users have a chatbot, they can search for it using their name or search for it by company's name.
To build a Facebook Chatbot, a business must have a Facebook page. The bot should be associated with a Facebook page. The status of the page will show the bot's status. It should be able to communicate with users and respond to their comments. If the Facebook Page has a chatbot, the bot will be able to display these messages in different ways. Once the user has signed in, the chatbot will respond to the messages they have left.
After a Messenger bot is registered and published, it must be published on Facebook to use the Facebook Messenger API. Until the app is published, it is in Development Mode. During this time, it will only be visible to Facebook's testers and admins. To publish a chatbot, the owner should ensure the Facebook Page associated with the bot is publicly published as well. This will enable the chatbot to connect to Facebook's Messenger page.
If you are using a Facebook Messenger bot for business, it is vital that the chatbot you create is approved by Facebook. The bot should contain all the required URLs and images, otherwise it won't be able to send relevant messages to customers. Additionally, the bot should contain a Welcome Message. This is the opening message of the conversational flow sequence. It is essential to include a Welcome Message regardless of whether you're using a template or building the bot from scratch. This message should set expectations for the user, avoiding any frustrations on the part of the customer.