Nov

HOW TO MAKE A SUCCESSFUL CHATBOT (BUSINESS TIPS)


So you decided that your business needs a chatbot.

And you’ve probably heard conflicting opinions on chatbots - some praise them for the ease with which they can offer customer service, others criticize for their lack of true intelligence.

How to proceed?

At nmodes, we have been working on chatbots longer than most, starting long before they became popular.

Here is how we advise mainstream businesses to approach the chatbot quandary.




1. SET YOUR BUSINESS GOALS  

Remember that users prefer to spend less time talking to your chatbot, not more. A user wants to resolve specific issues related to your brand, not engage in a soul searching chit chat about the meaning of life, politics or sports. A user expects your chatbot to provide the answer to a particular question, and the faster the chatbot can do it the more satisfying customer experience it will create.  

All that means is that your chatbot does not need to have the capabilities of a Siri (generic conversational AI solution). Instead, it has to understand really well the conversational domains related to your business. It does not need to support much of the rest of the language.

And so you need to decide which business related topics you want your chatbot to cover and not to venture outside of these topics.

Typically chatbot topics revolve around sales process, customer support, sometimes they include lead generation, FAQs, problem resolution, and reputation management.


2. DEFINE THE DIALOGS

Chatbots are about conversations. After you have decided what kind of topics you want your chatbot to support it is time to get a bit more specific and define the dialogs. Ask yourself the following question: what do you want to achieve at the end of the chatbot’s interaction with the customer. For example, if you are dealing with the sales process, the end result could be a customer making a purchase, or a customer providing contact information for the sales team to follow up on, or  when a customer indicates what product he or she is interested in.

Build a dialog with the end result in mind.

We sometimes call this creating the conversation flow.

Of course, you can create as many conversation flows as required to support your business model.



3. DECIDE IF YOU NEED AI  

The are two types of chatbots - based on multiple choice buttons and based on natural language conversations.

Don’t discard buttons. Remember that a chabot is expected to make the user experience as enjoyable and as friendly as possible. Buttons often make conversation super easy and fun (the user simply clicks a button, what can be easier?).  In many business cases buttons provide a fast and efficient way to ask relevant questions and keep the conversation flowing towards the desired conclusion.

Using buttons also makes chatbot development simpler and reduces the development costs.

The second option is to make a chatbot support natural language conversations, in which case you will need AI.

Pick the AI solution you want to work with.

The good news is that there are several decent products in the market so you have a choice.

The not so good news is that they all are relatively complicated and require a certain level of technical knowledge.

(And you can always talk to us - we provide AI solutions that do not require any technical knowledge).



4. DECIDE IF YOU WANT TO DEVELOP YOUR CHATBOT IN HOUSE OR OUTSOURCE

Unless you want to position your business as an AI company you likely do not want to develop it on your own. There are several reasons for that.

First, AI technology is complex and its complexity if often underestimated. You will need top AI expertise and will probably need more of it than you anticipate.

Second, as Cameron Schuler recently observed, there is a significant shortage of AI experts and it will be difficult for you to find one.

Third, and perhaps most importantly, if you are a mainstream business developing in-house AI expertise is not part of your business model.

Bringing in an AI partner to help with your AI needs is a reasonable option for many businesses. Of course, the downside is additional immediate costs.  



Following the simple steps above and answering these questions will help you navigate the sophisticated world of AI, decide what kind of chatbot does your business require and how to approach the process of creating it.

Interested in reading more? Check out our other blogs:

NMODES at Collision 2019



While Toronto is charged with hosting the Collision - "North America's fastest-growing tech conference" this year, nmodes is excited to make its first appearance among designated start-ups who have been selected to demo their products to conference visitors, potential investors, tech-enthusiasts and business executives.

nmodes, a year and a half in the market, offers a conversational product that uses AI to provide its customers with a scalable solution to execute 24/7/365 marketing acquisition and customer experience programs. While nmodes has already garnered its global presence with 40+ clients, North American market continues to be most enterprising for AI Chatbots and Voicebots.   Collision Tech Event offers an exciting opportunity for nmodes team to take its networking game a notch higher and pitch it to businesses looking to catch-up with the AI space and be early adopters of hottest AI products available in the market.

How nmodes is different than other chatbots?

AI space is nothing new to the tech world as chatbots, virtual assistants and voice bots are finding their commercial contribution toward improving the customer experience of brands. nmodes continues to work closely with the businesses focusing on helping brands drive double digit growth in lead conversions and engagement rates.

Three key market differentiators for nmodes:

  1. 1. Interlacing marketing and customer experience

nmodes chatbots are custom built for the brands.  nmodes solutions support full customer lifecycle from lead generation to marketing campaigns to scheduling demos, to gathering feedback and understanding engagement patterns of existing customers.

  1. 2. Lifetime AI training

nmodes solutions promise to work with progressive AI capabilities that are built to recognize old and new communication patterns and form a sensible response template that is malleable and fulfills the intent of desired conversation for the customers.

Nmodes solutions work on three principles while conversing with the customers.

A) Keep business context

nmodes solutions remember the customer’s history and their presence in the sales cycle and hence conversations are based upon the context of customer for the brand.

B) Data personalization

personalization of conversations focuses on collecting different data points from all internal and external data sources, helping brands deliver tailored and one-on-one predictive interactions.

C) Easy to use analytics

nmodes advanced dashboards uncover detailed analytics and insights on customer conversion rates, engagement rates and listen upon most common conversations to help brands better align their marketing communications and customer experience strategies.




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How nmodes Intent API Improves Social Intelligence

Social media generates a vast amount of data. There are 500 million daily messages on Twitter alone. Still more data on Facebook, Google+, LinkedIn and other social networks. Some of this data is useful to businesses, in fact, it is extremely useful.

A business can use social data to generate actionable insights about customers, competitors and their company strategy. Social information empowers departments and teams, and when used correctly, creates a strong sustainable bond between businesses and their customers.

nmodes Intent API helps businesses to execute their social strategy efficiently. Here are the major elements of social strategy Intent API contributes to:

1. Listening. Intent API finds customer intent with any level of granularity. You might want to know who is looking to buy shoes in general, or looking to buy flip-flops in particular, or interested in buying only Nike footware, or interested in buying sneakers in New York region.

2. Sales and marketing.  Intent API understands what stage in the purchase process your customer is in. Intent API tells if a customer is ready to buy, or is in the awareness stage, or considering the purchase but not ready yet, and so on.

3. Social intelligence. Intent API delivers meaningful intents and behavioral information on a large scale and for all verticals. Any insights and topics, as long as somebody is conversing on this topic, are available.

4. Teams and projects. Intent API channels information to the relevant departments within the company. Sales prospects should go to sales department, complaints to customer service, brand conversations to the marketers, and technical issues to tech support.

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