Why do people still treat data and creativity as if they are two separate streams, running in parallel but never quite meeting?
When a malfunctioning computer went on a homicidal rampage in Stanley Kubrick’s 1968 masterpiece, 2001: A Space Odyssey, it captured the imagination of a world barely conscious of the concept of artificial intelligence.
Computers long ago surpassed human beings in logic-based tasks such as computation. But it has taken much longer for them to even passingly mimic human beings in many of the chaotically-structured tasks that we undertake each day, such as interpersonal conversation.
So can artificial intelligence really contribute anything of value to a process as personally oriented as sales and marketing?
Thanks to the evolution of various artificial intelligence methods, machines are learning to learn from their mistakes and success, and fine-tune their performance over time. And that includes their ability to predict and meet the needs of everyday consumers.
US-based sales conversion software developer, Conversica, is using artificial intelligence at the heart of its technology for intelligently following up sales leads.
The company was founded in 2007 as AutoFerret.com by computer scientist, Ben Brigham, and initially managed leads for autodealers, before rebranding to Conversica in mid-2014. Its technology is now used to create artificial personas to represent brands, and follow up and qualify leads before handing them on to human sales representatives.
Vice-president of product management, Will Webb-Purkis, says Conversica has clients in sectors including education, insurance, financial services and technology.
“What we have is a system that does natural language understanding,” he said. “We are able to interpret the responses to emails that we are sending out, and these responses can come in basically any form.
“The persona can follow-up with the prospects to determine which ones are real, and actually have intent about learning more about a product, want to see a demo and want to get engaged, versus a student or a competitor or someone who us just doing information collection. And the persona can do that and have these two-way conversations through the use of artificial intelligence.”
Unlike auto-responders or chat-bots, Webb-Purkis says the Conversica technology can carry out actual conversations online, and is able to learn from the responses it receives. To date, it has sent out more than 50 million messages.
“We can train the AI to understand different questions and the responses to those questions, so it is a scalable system,” he says. “With Conversica, you are having a true conversation where the prospect has pretty no idea they are talking to Conversica, versus a real inside sales person who is trained to follow-up on a lead.”
The company claims to have assisted in more than US$7.6 billion in sales conversions, and Webb-Purkis says the quality of the experience is such that prospects often don’t realise they are communicating with AI. He also claims some personas have been asked on dates and offered jobs.
Webb-Purkis says that while Conversica is currently focused on sales conversion, the technology will work with any form of online customer interaction.
“Where there is a customer interaction and a conversation that needs to be started, the system will work very well,” he says.
Mobile marketing intelligence
Conversica is not alone in its desire to bring AI into marketing and sales. Californian start-up, Kahuna, has recently released a significant upgrade to its AI-based marketing automation, with impressive results.
The company was founded two-and-a-half years ago and has raised US$11 million in venture capital from tier one investor, Sequoia Capital. According to CEO, Adam Marchick Kahuna, it is working to help mobile marketers know exactly when and how to communicate with their customers.
“What we did was build a way for mobile marketers to send relevant, timely, personalised messages – but millions of them, and mostly automatically,” Marchick says. “Traditional marketing automation systems have a 1 to 2 per cent response rate. Our average response rate is 21 per cent. And I really want to get to 40 per cent.”
The key to Kahuna is its ability to constantly learn from the responses of consumers and tweak its message delivery to hit times where consumers will be most responsive. To date, it has processed more than 200 million messages for clients including Yahoo! Sports and Coupons.com.
Marchick says one of the common uses is retargeting users that have abandoned shopping carts.
“We start digesting all the different conversion behaviour, then start running thousands of tests in parallel to understand what their purchase preferences are, and figure out the exact right terms to send cart fulfilment messages,” he says. “We then automatically create a distribution curve and send the exact right amount of messages at exactly the right time.
”We are starting to automatically understand purchasing behaviour, and we automatically optimise when a user gets a message and what message they should get in order to increase conversion.”
To date, the company has focused on message delivery to mobile devices, but Marchick says Kahuna is already developing algorithms to send messages optimally to wearable devices.
“As wearables get more popular, what message is worthy of going to someone’s watch?” he asks.
Up next: Virtual assistance and Watson