Intent-driven Data Critical for Sales Growth

sasha uritsky

Dec 10, 2015

One of the most central causes of missed growth opportunities and overspending is a failure on the part of businesses to create strategies that are tailored to the intent of the consumer. Recognizing and harnessing visitor intent brings increased engagement with relevant messages and calls to action.

Once a business identifies purchase intenders it can create content that aligns with their needs and desires in order to increase the likelihood of conversion. Consequently it can pick up on pre-sale signals from visitors in the research phase and drive lead-nurturing initiatives accordingly. The ability to identify this spectrum of visitor intent is key to creating relevant engagement campaigns that drive sales.

nmodes has been at the forefront of delivering consumer intent to businesses.

We sort the intents based on conversation topics, called ‘streams’.

Here is a stream of people looking for a hotel:

A stream of people who are getting married:

A stream of people thinking of going on a cruise:

Interested in reading more? Check out our other blogs:

WHY ALL CONVERSATIONAL AI SOLUTIONS ARE CURRENTLY CUSTOM MADE

All quality conversational AI solutions such as chatbots, voice bots, virtual assistants are customized. The reason is because conversational AI solutions have a component called AI training that has to be individually tailored to the needs of each business. Currently AI industry does not have a suitable solution to automate this component.

There are, of course, easy-to-use, scalable products such as Chatfuel, ManyChat and others, but they do not provide sufficient quality and therefore do not add value to the professional sales or customer service process.

The next generation of conversational AI solutions will be scalable, while capable of delivering the level of quality required by businesses and professional organizations. nmodes is among a limited number of AI companies, with sufficient level of technological knowledge and deep enough understanding of underlying linguistic processes. working on delivering this kind of solution to the market as quickly as possible. In the meantime, customizable AI solutions, with personalized AI training component, is industry's best option.

MAKING AI MAINSTREAM

We are experiencing a strong demand for conversational AI solutions. It is coming from every corner of the B2C market. It is growing by the day.

Conversational AI is becoming increasingly popular among the consumer facing business community. It is easy to see why - AI offers sales and customer service scalability and therefore is critical for the long-term success of a business.

Conversational AI solutions such as chatbots, voice bots, and virtual assistants provide much needed speed and efficiency, in an age where the rapid advancement of technology makes them virtually the only sustainable customer service solution.

Bu there is a catch - AI is complicated. Mainstream businesses do not have in house AI expertise. And it is not part of their business model to develop such expertise.

Today’s market offer several good conversational AI solutions, such as IBM Watson or Google DialogFlow. However, getting a business value out of them requires the very AI expertise that mainstream companies do not possess.

So what can be done?

Any AI solution should follow these three steps in order for the mainstream business community to fully benefit from it:

Conversational AI should come as a service,
The service should be available in natural language,
The service should be fully personalized.

In the next several posts we will explore how the AI industry, including nmodes, is moving towards achieving these goals.