3-Way Conversations: Go Beyond Chatbots For Massive 24% Sales Conversions

Updated: Jul 7


3-Way Conversations: Go Beyond Chatbots For Massive 24% Sales Conversions
3-Way Conversations: Go Beyond Chatbots

Do you know that not all chatbots are created the same?


They work differently depending on how advanced the technology is. And, let’s be clear about one thing- chatbots that were created 2 years ago are outdated today due to rapid advancements in AI, ML and NLP technologies.


Artificial intelligence and chatbots have come together in the market to resolve all traditional issues associated with generic bots. This has led to new and advanced features added to chatbots, turning them into a humanized Conversational AI platform.


ORAI has introduced its 3-way conversation feature allowing human agents to work alongside AI to deliver excellent customer experience. This has resulted in 24% sales conversions for clients who were struggling to even maintain 5% conversions earlier. However, it is obvious for you to wonder why you need a 3-way conversational AI chatbot for your business.


So, here you will understand what 3-way communication means in AI Chatbots and how it can grow sales conversions in your business. Let’s dig in!


Why generic chatbots fail: Cons of 2-way conversations between a customer and a bot


Chatbots are supposed to improve customer engagement and brand experience by offering helpful insights and assistance to customers. But so many bots fail to actually live up to the expectations.


This is because of the generic chatbot technology that comes with many limitations. Only a few chatbots are advanced enough to deliver humanlike, rich conversations while engaging users. Generic bots are unable to offer consistency across different digital channels. Plus, they are unable to communicate in different languages preferred by today’s customers.


It’s the lack of intelligence in generic chatbots why Gartner expects 40% of 1st generation chatbots launched in the year 2018 to be abandoned by the end of 2020.


Here are the major issues why generic chatbots are failing:


1. Poor conversational flexibility


Probably the biggest issue with generic chatbots is that they fail to understand customers’ intent, behavior, and questions.


When such bots are asked questions, they fail many times to accurately recognize the meaning and respond accordingly. This happens because humans can phrase a single question in multiple ways, that too, within a single conversation. Hence, bots need to have advanced conversational AI technology to understand flexible questions and respond with flexible answers.


2. Lack of a consistent personality


The issue of a consistent bot personality is another problem business leaders face while using a generic chatbot. Such bots collect dialogues from various text fragments instead of using artificial intelligence. Hence, businesses feel unable to offer a clear, consistent personality of their virtual assistant across all channels. This is critical in today’s market where a consistent personality of your brand means everything for long-term survival.


3. Created to answer first-level queries only


Many chatbots are made to answer first-level queries only. So, they fail to respond to complex queries with relevant solutions. Without the presence of a human agent present in real-time, customers feel dissatisfied at the end of such 2-way conversations.


4. Unable to perform customer retention activities


When you’re running a business, retaining every customer becomes a vital function. In fact, businesses focus on it more than finding new customers.


While chatbots can play a major role in customer retention, generic bots fail to fulfill this expectation when working alone. AI and Human interruption are more effective in retaining customers, as they can better understand the behavior and feelings of every customer.


So, the issues associated with generic bots impact all efforts of gaining and maintaining customers across all touchpoints.


What is a 3-way conversation: AI Chatbot at its peak of potential


Chatbots that came to market with generic rule-based features evolved to conversational virtual assistants with the disruption of artificial intelligence.


And now, the market is again evolving with 3-way conversations between a customer, AI Chatbot, and human agent. You can say that 3-way conversation is taking AI Chatb