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I Chatbots are a major help for businesses. Over the years, conversational AI  has successfully automated customer support activities, sales, marketing, and so on. AI Chatbots have made quite an impact on enterprises. AI Chatbots for business has helped organizations to optimize their outreach and to generate massive leads. In the upcoming days, the growth of conversational AI will only increase. 


However, most organizations make some common mistakes when it comes to conversational AI. These mistakes can cause them huge losses at some point. If you’re not ready to make the same mistakes, we’re here to help. 


In this article, we’ll let you know about those mistakes and will also explain how you can avoid them. Let’s get started. 


1. You don’t have a strategy to start with 


Investing in conversational AI will be a big mistake if you don’t have a strategy to start with. Two of the main purposes of adding an AI chatbot to your business are for lead generation and to drive sales and appointments. If you don’t have a plan, how do you expect to achieve success? To build a strategy, first, be more clear about your requirements. 


For example, why do you need an AI chatbot? Is it for improving lead generation and sales? Do you want to automate your customer support activities? Are you focussing on personalizing customer interactions? Depending upon the answer to this question, your AI chatbot strategy will vary. Also, don’t forget to create a buyers’ persona. It will help you project the bot applications in the right direction. 


2. Not naming your AI chatbot 

As odd as it may sound, you have to name your AI chatbot. Like two persons can be distinguished by their names, it is important to differentiate your AI chatbot from that of your competitors’. So, the key here is to provide a name to your bot. 


In fact, a name for the conversational AI platform can help you nurture your brand’s identity. Your customers/prospects want to know more about you. They expect the utmost level of personalization and an AI chatbot with a name can help you build your brand presence. Also, don’t forget to provide a name that’s easy to pronounce. Never use a name that has been previously used. That could bring in unwanted legal troubles. 


3. Making your AI chatbot sound forceful 

A major reason behind including an AI chatbot is to grow customer engagement. But, sounding too pushy can do more harm than good. In an attempt to persuade customers, some AI chatbots make the mistake of forcing the customers/prospects. We don’t recommend that. 


Forcing customers to buy a product/service repeatedly can be pretty irritating. Customers are bound to get agitated and they may even uninstall or unsubscribe. The whole point of including conversational AI in your business is initiating natural conversation with prospects and customers through the website, WhatsApp for Business, Facebook Messenger, and other channels. 


During this conversation, you can nudge your customers a little to buy a product/service or inform them about discounts and price concessions. But that’s it. Don’t ever try to exaggerate your promotions. It won’t help. 


4. Not Focussing on Behavioral Analytics 

Suppose you have added an AI chatbot, automated the necessary responses, and launched it. But what if you find out that the prospects/customers are not behaving the way you predicted? In that case, all are your efforts will be in vain. Despite having an AI chatbot, you won’t be able to generate sufficient leads. 


The mistake you’ve made here is, not focussing on the behavioral analytics part. The behavioral analytics feature within conversational AI generates real-time data from human interactions. This data is useful when you automate your responses. It can predict exactly which questions the users might ask. Make sure that your AI chatbot has this feature. Since behavioral trends keep changing regularly, you’ll require to update the AI chatbots after every 3 months to stay familiar with the trends. 


5. Not Updating the System from Time to Time 

Many enterprises believe that testing an AI chatbot before its launch is enough. But there’s no such thing called “ultimate” when it comes to a technological system. Bugs and errors are very common within an AI chatbot. A successful conversational AI platform is one that is regularly maintained and updated.  


Also, organizations should not forget to evaluate their AI chatbot’s performance often. You must train your bot applications regularly to improve accuracy. Make sure you’re reading through historical conversations to find new used cases and to plan your actions accordingly. 

6. Providing Unclear Information through AI Chatbot 

When a customer or prospect comes to your website with the hope to buy something, they expect clear and to the point information. Hence, try to train your AI chatbot in such a way that it can actually help the visitors with explicit information. It is pointless to add an AI chatbot that offers 24/7 live support but fails to provide the information a prospect is looking for. 


By providing vague information, you basically misguide your prospects. In this process, you can also reduce the possibilities of converting a powerful lead. Create a well equipped conversational AI platform that can offer responsive answers to customers’ questions. Some of the information customers look for includes product price, ratings, elaborate product descriptions, etc. Make this information easily accessible and you’ll drive more sales and appointments. 


Final Words 

Before summing up our discussion, we want to suggest a conversational AI platform that can be an absolute strategic fit for your brand. We’re talking about Konverse. Use this AI chatbot to generate more leads, grow sales and engage customers, and multiply your profitability. 


Are you making any of the mistakes mentioned above? Do you want to share your experiences related to conversational AI with us?

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