![]() So the prospects are already on your product have strong leads. Lead generation Google helps you take user information and save it in google sheets.Which notify the admin whenever a new lead is generated Social media marketing bot A lead generation chatbot template for social media marketing agencies.Saves the answers provided by the user, calculates their score and also sends an email to the user letting them know their score It comes with attractive wallpaper and button colour customizations. Quiz bot for market research Generates a quiz around the market research.Real Estate bot Collect requirements from your customers on what they are looking for.Automotive Lead Generation bot Automotive Lead Generation allows customers to get details on cars, features, prices etc, along with booking service.The chatbot also provides details on course fees, duration and admission mode per course Education-course bot This bot allows prospective students to browse through various course offerings by an educational institution.You can send your customers images through carousels and link your website for purchases eCommerce bot Browse through products directly from your chatbot.In some cases, that could require enterprise-level AI capabilities however, in other instances, simple menu buttons may be the perfect solution. The right chatbot is the one that best fits the value proposition you’re trying to convey to your users. All the more reason to have users extensively test your chatbot before you fully commit and push it live. ![]() Some users may prefer to have the chatbot guide them with visual menu buttons rather than an open-ended experience where they’re required to ask the chatbot questions directly. Is conversational context going to significantly impact this value? If not, then it is probably not worth the time and resources to implement at the moment.Īnother thing to consider is your target user base and their UX preferences. While deciding if a chatbot is right for you, place yourself in the shoes of your users and think about the value they’re trying to receive. So, which type of chatbot is right for you? A voice-activated chatbot brings frictionless experiences directly to the end customer. It’s much easier for a customer to speak rather than type. Voice bots have been on the rise for the last couple of years, with virtual assistants like Apple’s Siri, to Amazon’s Alexa, and why? Because of the convenience they bring. To make conversational interfaces even more vernacular, businesses are now beginning to use voice-based chatbots or voice bots. The ultimate goal of any chatbot should be to provide an improved user experience over the alternative of the status quo. Leveraging conversation context is one of the best ways to shorten processes like these via a chatbot. While this food ordering example is elementary, it is easy to see just how powerful conversation context can be when harnessed with AI and ML. Instead of having to respond to several questions the user just has to answer with ‘Yes’ and the food is ready! The result is that eventually when a user chats with this chatbot, it will remember their most common order, their delivery address, and their payment information and merely ask if they’d like to repeat this order. Unlike keyword recognition-based bots, chatbots that have contextual awareness are smart enough to self-improve based on what users are asking for and how they are asking it.įor example, a contextual chatbot that allows users to order food the chatbot will store the data from each conversation and learn what the user likes to order. These types of chatbots utilize Machine Learning (ML) and Artificial Intelligence (AI) to remember conversations with specific users to learn and grow over time. Ever wondered what is a contextual chatbot? A contextual chatbot is far more advanced than the three bots discussed previously.
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