Several social networks use automated methods to converse with their users and meet their every need. Among these methods, chatbots are the most efficient. They are programmable conversation tools that optimize customer relations. Although most of them require coding for their creation, it is possible to create chatbot without coding. Here is how!
Define the objectives of your chatbot
You have to define the objectives of your messaging robot when creating your chatbot. For your different products or services, perform a personal survey to find out the most sold on the market and the frequently asked questions on them; this provides you with precise data on potential requests. The mission of the messenger robot is to be able to adapt to customers, so all their habits must be taken into account.
There are times when the level of demand is in constant free fall. The robot messenger will have to analyze the various opportunities or other services that may increase the level of customer engagement. His mission will be to meet consumers to support them on various projects. Thus, in the event of a satisfactory response, the relevant information will be relayed to an advisor who will be responsible for putting together a file.
This support goes through a questioning process where questions are asked in a coordinated and precise manner, which will leave the customer the choice to personalize their answers.
Make a selection of questions to be answered and submitted by the messenger robot
To create chatbot, you should not exceed the limit of four questions. This helps keep customers’ interest. A question can be similar to one or more personalized requests according to the customer’s habits. That is to say quite simply, that the habits (browsing data on different websites) of the customer will be recorded and on this basis, the messenger robot will submit him with propositions that meet his needs.
For example, for a user of a social network whose business is selling cell phones, the bot will only propose him offers related to his field of activity. This approach saves time.
Model chatbot conversations
You must develop an effective and adapted script so that the exchanges are fluid; the customer will simply have to provide an answer to the questions asked. To have a conclusive result at the end of discussions, the requests or questions must include at least elements such as:
- The customer’s request number
- The possibility of request cancellation
- The intentions of the robot messenger, this will convince the customer of the help you are offering
Conversation modeling is also about preparing the bot for any eventuality so that it does not prove ineffective answers in the long run. Systems like Botnation or Dialogflow will help you in this task. Training the bot is allowing it to focus on just one project so as not to lose sight of the goal.
To ensure the chatbot’s functionality, test the various questions needed to start a conversation and discard any incorrect answers in case they exist. To finalize the creation of your bot, after validating its level of reliability, be sure to strengthen and improve communication.