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The name is Bot, Chatbot: How to shake up conversions with stirring conversations
Columnist Purna Virji explains why an AI-driven conversation agent can potentially be the best sales assistant you have, and provides advice for how to plan and implement your own chatbot.
Five years! It seems like forever ago.
Now, Facebook stock has only gone up since its much-decried stock market debut, gifs are old hat (though the “jif” vs. “gif” pronunciation debate rages on), and you can order pizza by text, chatbot, Alexa, Google Assistant, Cortana and more.
It’s not just pizza. New technology is changing the way we behave as consumers and marketers. The landing page, once the internet’s gatekeeper and conversion hotspot, is becoming unessential. It’s a middleman that’s growing middle-aged and might not know what “the cool thing” is anymore.
The new conversion platform for brands and commerce?
From AI with love
Where the conversation happens matters.
According to a 2016 Ovum study, 53 percent of American and German respondents stated that they favor talking with businesses through chat apps versus the phone, mainly because of speed and convenience.
Meanwhile, 50.6 percent of consumers responding to a 2016 Ubisend survey said they believed that a business should be able to respond to their queries 24/7.
So, we have soaring usage of messaging apps, and a considerable number of our customers who believe we should be contactable 24/7. But staffing a customer service center 24/7 is costly and expends human capital by the bucketload.
Enter stage left: chatbots.
Take stage center for explanation purposes: XiaoIce, sometimes dubbed “Cortana’s little sister.”
Created by Microsoft (my employer) in 2014, XiaoIce is an AI chatbot that is based in part on Bing’s search technology. She’s designed to have a high IQ, as well as high EQ (Emotional Quotient, or emotional intelligence), to help her build strong bonds and connections with humans.
She’s able to remember and learn from previous conversations, and she is sensitive to emotions. For example, if you chat with her about a relationship ending, she’ll put you on a 33-day break-up recovery plan, checking in with you throughout.
To say she is popular would be an understatement. In just her first three days, XiaoIce was added to 1.5 million conversations on WeChat. On Weibo, she’s one of the most popular celebrity accounts. Can you imagine a bot having celebrity status? She has approximately 40 million users in China, with incredible engagement stats. The average conversation with her lasts 26 turns, and one out of four users has even said “I love you” to her!
What we learned from Xiaoice is that people want their tech to be approachable and to adjust to the way we communicate.
WeChat has proven just how profitable that can be.
Did you know, over half of WeChat’s 938 million monthly active users have linked their bank cards to the app? They can easily do a staggering number of tasks — from booking a flight to booking a doctor’s appointment to ordering a new pair of shoes — all without leaving the app.
That’s got to be worth a lot of money, right?
According to estimates by Nomura, WeChat’s average annual revenue per user is $7, compared to $1 per user on WhatsApp.
Clearly, conversation pays off.
License to chat
There are three key steps you need to take to bring your bot from being a twinkle in your eye to the online version of your best salesperson.
1. Identify the problem
You can’t solve world peace with your bot (at least, not yet).
What you can do is consult with your customer service teams, conduct surveys and read customer feedback from as many avenues as possible in order to pinpoint key customer issues. Can a bot address any of these?
If not, then other options include building a bot whose purpose is solely to engage in a fresh new way with customers, or save time and resources relating to customer service.
Let’s think about a bank, for example. It’s quite likely that they spend hundreds of thousands of dollars each month handling repetitive calls like a balance inquiry.
Now, even though it’s a quick question, it usually takes three or four minutes, with the security questions and hold time factored in. It’s not the best customer service experience, and it costs the business a lot of money.
But what if the bank had a chatbot? It would be easy to just use the phone verification (fingerprint in iPhone, for example) and answer the question via a bot.
That’s so easy that a kindergarten bot could do it. More complex questions are well within bots’ capabilities, such as, “Hey, bank, how much did I spend on Uber in May?”
This bot saves the bank money and improves the customer experience. It’s a win-win. Think about how this could apply to your own business.
2. Plan the overall experience
Your users already have multiple options to interact with you, such as your website or app, so how can your bot compete for attention? Good planning is the key, especially when it comes to the user experience.
The experience needs to make sense to them and appear seamless. The most important consideration is making interaction as easy as possible for your customer. Look at the two options below. Which one do you think is easier?
Example 2 is easier because the user doesn’t have to type anything, and the options are foreshadowed and one tap away. A combination of typing, talking and tapping can make the interaction a lot easier for your customer.
In all of this, remember to make it feel as personal as possible. When the bot addresses the user with, “Hello, Anonymous,” it comes across as rude and impersonal, like an uninterested shop assistant. The bot should ask the user their name, creating a rapport.
The bot must be also able to learn from the conversation. For example, if the user is asking for a weather forecast for the same city every day, or booking a particular restaurant often, the bot should recognize this and offer a more relevant solution.
3. Get all your tech in a row
There are many options to help you build your bot. In what is being known as the democratization of AI, large tech companies like Microsoft, Google and Facebook are putting the power of AI into the hands of the masses via developer tools like APIs.
Google offers api.ai, Facebook has Messenger Platform, and Microsoft has the Bot Framework, which allows you to build bots that can be used across multiple platforms — wherever your users are — including Cortana, Skype, Slack, Facebook Messenger, Skype for Business and more.
Bot Framework also allows you to enhance your bot’s capabilities by adding intelligence via the Cognitive Services APIs. These APIs allow your bot to respond as if they can see the world as people see it and are even able to learn from interactions — just like humans can improve their capabilities as they gain more experience.
While that may sound complex, building a bot doesn’t have to be complex. Nor does it always require coding experience.
There’s the QnAMaker.ai tool, where you can create a chatbot based on your FAQs. No coding needed — you simply name your bot, enter your company’s FAQ URL, and click “Create.”
How straightforward, useful and easy is that?
Whether it’s a chatbot or a skill, AI-driven conversation agents can potentially be the best sales assistant you have. In one way, this is actually the future returning to the past. For years, internet users have sacrificed the personal touch for convenience. Now, we’re entering a world where we can have both. It’s the Personal Touch 2.0.
Opinions expressed in this article are those of the guest author and not necessarily MarTech Today. Staff authors are listed here.