Most Amazon Echo and Google Home owners utilize their device at least once a day and 34% of owners activate their voice assistant 3+ times every day.
Voice is expected to eclipse typed searches in the next 2 years with 30% of searches by consumers not even using a screen when searching.
3 out of 4 households are forecasted to own an in-home voice technology device like Amazon Echo or Google Home by 2020, up from just 7% in 2016. That's over 94M units!
By 2019, the speech recognition industry will be a massive opportunity for brands and technologists who take advantage of the global trend.
If you've been waiting to see if voice-activated solutions have arrived - there is no longer any doubt. In 2018, over 35 million Americans will use a voice assistant like Amazon’s Alexa, Google's Assistant/Home, Apple’s Siri, or Microsoft’s Cortana with spoken English at least once a month.
The adoption rate of smart speakers is predicted to be dramatically faster than that of radio, TV, internet or smartphone.
Today, users are utilizing voice for everything from a Google Voice search to controlling their smart homes. They are becoming less shy about using voice apps in public now that they don't have to be as concerned about background noise or finding a quite place.
41% of people who own a voice-activated speaker say it feels like talking to a friend or another person.
We are in the middle of a voice technology revolution. The explosion of smarter voice assistants, more sophisticated voice recognition, and smart speakers all add convenience to our daily lives, and Amazon Alexa developers, Google Android/Assistant voice developers and spoken dialogue systems software engineering experts are creating incredible voice technology.
Machine learning, voice AI, natural language processing, and other new technologies are spurring innovation as the technology grows. Here are some things to keep in mind:
Conversational experiences through voice applications represent an opportunity for brands to extend their company's voice and tone in every customer interaction with an Amazon Alexa, Google Assistant, or IoT-based engagement.
It is important to think about how you would like to represent your brand in this voice-first context. What tone will your voice app carry forward? How will it handle off-topic questions? What opportunities do you have to use rich multi-media? Conversational AI will impact your choices, an ultimately provide users of your voice applications with a powerful experience.
Like the mobile apps on our phones, voice applications can support a wide variety of use cases and experiences for your customers.
Our Customer Success Program has worked with a variety of organizations over the years, and our team has found that it is always best to start with a focused use case in mind. That’s how you can make sure you delight your users with the experience you create. Then, through the use of voice analytics and testing, you can expand your voice application's knowledge and capabilities to broaden its interaction with customers.
Guiding your users through a conversational experience is critical to their success and satisfaction. But you have to be prepared for them to leave their expected path, because, we promise, they will go there!
With PullString, we encourage the use of our standard components to answer common "off-path" questions you should anticipate from your audience. Additionally, look for opportunities to delight your users through "unexpected responses" that can bring more fun and play to the experience.
Brands that wish to produce voice applications for use on Amazon Alexa, Google Home, and IoT devices have traditionally required technical resources to design and write code against the various platform providers' APIs. That code then has to directly integrate with the target voice-enabled device platform. This approach provides maximum flexibility for the organization, but it also tends to introduce a substantial technical burden and provides challenges in scaling the experience.
PullString provides a turnkey solution for creative-led teams at enterprises and digital agencies that want to rapidly design, prototype, and publish voice applications for a wide-variety of use cases.