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How AI Revolutionizes
Marketing
Marketers currently use artificial intelligence,
commonly known as AI, in a wide range of
applications. Search engines like Bing and Google
use it to provide people with more intelligent
results leading them to delivery drones and
personal assistants by Amazon and a self-driving
car by Uber. This leaves many to wonder how
marketing will be affected by different types of AI
as they use it to improve return on investment
(ROI) and make smarter business decisions.
So just what is AI? One simple definition is that AI
involves non-human entities performing actions
based on human behavior. Over time, AI robots
can improve responses by analyzing customer
responses. This is a big improvement over pre-
programmed and possibly inaccurate responses.
Below are several practical applications that AI
developers and marketers should learn about as
much as possible.
Automation offers many benefits to marketers.
However, businesses that plan to implement it
must invest in computer-based learning and
apply it at scale. It’s best to do this both before
and during implementation of automatic
processes that depend on evaluation by humans.
Some marketers are fortunate to have advanced
tools for statistical purposes such as behavior
information, demographic data, purchase history,
and analytics software from a variety of sources.
Even so, only a human can determine the actual
results of a marketing campaign without using AI.
Naturally, every marketer desires to improve his or
her understanding of customer behavior and activity
as it occurs in real time. Predictive marketing can
help achieve this. The concept of predictive
marketing involves forecasting success by using AI.
With AI implemented, a computer can analyze a
website visitor’s unique actions and learn to
predict what he or she might do next. In other
words, you can predict and understand why your
customers have come to your website and what
they hope to accomplish during the online visit.
This enables your company to deliver a
personalized call to action at just the right time.
Best of all, you can use this tool in a variety of
ways.
For example, AI makes it possible to employ
predictive marketing to increase the hit rate of
your email campaigns. Instead of batch and
blast campaigns or simply guessing, you can
evaluate the previous shopping history of the
customer as well as engagement rates from
past emails to similar customers. This makes it
easier to create new and more effective
marketing campaigns.
Another example is using AI-based
intelligence to obtain real-time stock updates
from local stores and use this information in
customer emails. You could also implement a
higher level of machine learning to provide
personalized banner advertising on your
website.
You can expect AI to improve as it learns.
Eventually, it will offer visitors to your website
recommendations based on products that
people often purchase together or match it to
email campaigns that show a more personal
touch.
Chatbots, which first became popular in 2016 and
2017, are a tool that provide customers with an
experience that doesn’t include the human element.
By 2021, industry analysts expect chatbots to grow
into an industry worth $3 billion dollars in the United
States alone. While some people view chatbots as a
slight improvement to the online inquiry form or a
way to deal with unhappy customers, the software is
poised to have a much greater reach in the future.
Chatbots, which first became popular in 2016 and
2017, are a tool that provide customers with an
experience that doesn’t include the human element.
By 2021, industry analysts expect chatbots to grow
into an industry worth $3 billion dollars in the United
States alone. While some people view chatbots as a
slight improvement to the online inquiry form or a
way to deal with unhappy customers, the software is
poised to have a much greater reach in the future.
Marketers can consider a chatbot intelligent once
it recognizes and responds to the needs of the
user. The intelligence it possesses is what gives it
the ability to handle all customer conversations
and scenarios with confidence. This includes
everything from understanding the tone and
mood of customers to gathering data and guiding
them towards making a purchase. Many people
report that they enjoy interacting with chatbots,
especially as they become more advanced.
Plug and play is a great AI tool but there’s
more to come. One of the top chatbots in
2018 is Zendesk Answer Bot. This customer
service platform answers questions in real-
time and assists customers with purchase
decisions.
Chatbots are an excellent first step for first-time
users of artificial intelligence (AI). Developing your
own chatbot can help you create a niche such as
offering assistance in a variety of languages or
recognizing phrases unique to your line or work or
ongoing customer issues. In the future, you could
find yourself developing a chatbot that understands
marketing campaigns in the same way that a human
member of your marketing team would. You might
even be able to skip weekly meetings and download
information from the Chabot instead.
There’s a strong likelihood that you know
someone who has Alexa or another smart
home device. These AI-powered machines can
do everything from play the type of music its
user requests to dimming the lights in the
home to acting as a virtual assistant that
responds to voice commands.
As a marketer, the popularity of these devices
means that the relevance of conversational
marketing will only increase. You should plan
to tailor your content for easy use by home
assistants by including accurate answers to
specific questions as well as long-tail search
terms.
It’s probably not surprising to learn that AI
leads the way in image recognition search
marketing. Also called computer vision,
companies as diverse as L’Oreal and Coca Cola
use it to scan social media as intelligently as
possible. This enables them to strategically
place branded messages with photos related
to their brand image on websites across the
Internet.
Another name for these ads is “in-image.” Instead
of relying only on text advertising, an in-image ad
applies pictures to the top of other pictures to
provide customers with a unique real-time
experience. As an example, an existing image of a
disorganized desk could have a fun pop-up ad for
a desk organizer. When marketers search for
images, they should ensure that it’s as relevant as
possible to the content that already exists. This
enables them to deliver the most appropriate
message at the ideal time.
An image-based AI experience is useful for
online marketers who want to glean data
about their brand without investing hours of
work into manual research and conducting
surveys with people who already know about
the brand. Rather than face an unpleasant
tweet directed at your brand by an angry
customer, you can serve brand photos of
products on social media directly.
This technology enables brands to leverage a
more sophisticated understanding of how
many people they have promoting or
detracting from their brand online. Because of
this, a change in metrics is necessary as well.
By switching to image recognition, marketing
agencies need to increased attention quality,
promoter sources, and engagement along
with several other metrics to achieve the
desired results.
A recent article in UX Magazine indicates that
AI and UX will change at the same time.
Naturally, this will have a big impact on
marketing. According to a recent
announcement from Adobe, a program called
Sensei will enable AI designers to edit, patch,
or possibly recreate specific scenes.
Squarespace, Wix, and other mass marketing
website developers already use AI to help
with UX and other types of existing
technology. This enables users to make minor
decisions more seamlessly.
Anyone who has ever groaned about the
monotony of working on repetitive tasks will
enjoy working with AI and allowing it to take over
the time-consuming task of analyzing data. Many
types of website design feature this type of work
already, but it’s another area that AI-powered UX
could apply to content marketing. Specifically, it
works well with content written mostly for SEO
purposes or to answer certain types of questions
from prospective customers.
While you shouldn’t expect AI to write the next
best seller, it could be the ideal tool if you want
to pitch mass content to find unique locations
and buyer personas. It’s far superior to the
currently existing tools of article spinning and
scrapping. If you have ever read anything
produced by either of these software programs,
you know how robotic and useless it sounds.
With AI, you can combine the best conversational
skills from smart devices and chatbots and apply
it to copywriting. This allows you to develop
content that appeals to people who are searching
for your product or service using long-tail
keywords. AI learns the patterns and rules of
your current content and then produces new
content. Although it’s specific to your industry,
you can apply it to various niches. This provides
you with maximum flexibility as you create your
marketing campaigns.
We encourage you to contact us at Call Sumo
if you have additional questions about this
technology or to request a demonstration.

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How AI Revolutionizes Marketing

  • 2. Marketers currently use artificial intelligence, commonly known as AI, in a wide range of applications. Search engines like Bing and Google use it to provide people with more intelligent results leading them to delivery drones and personal assistants by Amazon and a self-driving car by Uber. This leaves many to wonder how marketing will be affected by different types of AI as they use it to improve return on investment (ROI) and make smarter business decisions.
  • 3. So just what is AI? One simple definition is that AI involves non-human entities performing actions based on human behavior. Over time, AI robots can improve responses by analyzing customer responses. This is a big improvement over pre- programmed and possibly inaccurate responses. Below are several practical applications that AI developers and marketers should learn about as much as possible.
  • 4. Automation offers many benefits to marketers. However, businesses that plan to implement it must invest in computer-based learning and apply it at scale. It’s best to do this both before and during implementation of automatic processes that depend on evaluation by humans.
  • 5. Some marketers are fortunate to have advanced tools for statistical purposes such as behavior information, demographic data, purchase history, and analytics software from a variety of sources. Even so, only a human can determine the actual results of a marketing campaign without using AI. Naturally, every marketer desires to improve his or her understanding of customer behavior and activity as it occurs in real time. Predictive marketing can help achieve this. The concept of predictive marketing involves forecasting success by using AI.
  • 6. With AI implemented, a computer can analyze a website visitor’s unique actions and learn to predict what he or she might do next. In other words, you can predict and understand why your customers have come to your website and what they hope to accomplish during the online visit. This enables your company to deliver a personalized call to action at just the right time. Best of all, you can use this tool in a variety of ways.
  • 7. For example, AI makes it possible to employ predictive marketing to increase the hit rate of your email campaigns. Instead of batch and blast campaigns or simply guessing, you can evaluate the previous shopping history of the customer as well as engagement rates from past emails to similar customers. This makes it easier to create new and more effective marketing campaigns.
  • 8. Another example is using AI-based intelligence to obtain real-time stock updates from local stores and use this information in customer emails. You could also implement a higher level of machine learning to provide personalized banner advertising on your website.
  • 9. You can expect AI to improve as it learns. Eventually, it will offer visitors to your website recommendations based on products that people often purchase together or match it to email campaigns that show a more personal touch.
  • 10. Chatbots, which first became popular in 2016 and 2017, are a tool that provide customers with an experience that doesn’t include the human element. By 2021, industry analysts expect chatbots to grow into an industry worth $3 billion dollars in the United States alone. While some people view chatbots as a slight improvement to the online inquiry form or a way to deal with unhappy customers, the software is poised to have a much greater reach in the future.
  • 11. Chatbots, which first became popular in 2016 and 2017, are a tool that provide customers with an experience that doesn’t include the human element. By 2021, industry analysts expect chatbots to grow into an industry worth $3 billion dollars in the United States alone. While some people view chatbots as a slight improvement to the online inquiry form or a way to deal with unhappy customers, the software is poised to have a much greater reach in the future.
  • 12. Marketers can consider a chatbot intelligent once it recognizes and responds to the needs of the user. The intelligence it possesses is what gives it the ability to handle all customer conversations and scenarios with confidence. This includes everything from understanding the tone and mood of customers to gathering data and guiding them towards making a purchase. Many people report that they enjoy interacting with chatbots, especially as they become more advanced.
  • 13. Plug and play is a great AI tool but there’s more to come. One of the top chatbots in 2018 is Zendesk Answer Bot. This customer service platform answers questions in real- time and assists customers with purchase decisions.
  • 14. Chatbots are an excellent first step for first-time users of artificial intelligence (AI). Developing your own chatbot can help you create a niche such as offering assistance in a variety of languages or recognizing phrases unique to your line or work or ongoing customer issues. In the future, you could find yourself developing a chatbot that understands marketing campaigns in the same way that a human member of your marketing team would. You might even be able to skip weekly meetings and download information from the Chabot instead.
  • 15. There’s a strong likelihood that you know someone who has Alexa or another smart home device. These AI-powered machines can do everything from play the type of music its user requests to dimming the lights in the home to acting as a virtual assistant that responds to voice commands.
  • 16. As a marketer, the popularity of these devices means that the relevance of conversational marketing will only increase. You should plan to tailor your content for easy use by home assistants by including accurate answers to specific questions as well as long-tail search terms.
  • 17. It’s probably not surprising to learn that AI leads the way in image recognition search marketing. Also called computer vision, companies as diverse as L’Oreal and Coca Cola use it to scan social media as intelligently as possible. This enables them to strategically place branded messages with photos related to their brand image on websites across the Internet.
  • 18. Another name for these ads is “in-image.” Instead of relying only on text advertising, an in-image ad applies pictures to the top of other pictures to provide customers with a unique real-time experience. As an example, an existing image of a disorganized desk could have a fun pop-up ad for a desk organizer. When marketers search for images, they should ensure that it’s as relevant as possible to the content that already exists. This enables them to deliver the most appropriate message at the ideal time.
  • 19. An image-based AI experience is useful for online marketers who want to glean data about their brand without investing hours of work into manual research and conducting surveys with people who already know about the brand. Rather than face an unpleasant tweet directed at your brand by an angry customer, you can serve brand photos of products on social media directly.
  • 20. This technology enables brands to leverage a more sophisticated understanding of how many people they have promoting or detracting from their brand online. Because of this, a change in metrics is necessary as well. By switching to image recognition, marketing agencies need to increased attention quality, promoter sources, and engagement along with several other metrics to achieve the desired results.
  • 21. A recent article in UX Magazine indicates that AI and UX will change at the same time. Naturally, this will have a big impact on marketing. According to a recent announcement from Adobe, a program called Sensei will enable AI designers to edit, patch, or possibly recreate specific scenes.
  • 22. Squarespace, Wix, and other mass marketing website developers already use AI to help with UX and other types of existing technology. This enables users to make minor decisions more seamlessly.
  • 23. Anyone who has ever groaned about the monotony of working on repetitive tasks will enjoy working with AI and allowing it to take over the time-consuming task of analyzing data. Many types of website design feature this type of work already, but it’s another area that AI-powered UX could apply to content marketing. Specifically, it works well with content written mostly for SEO purposes or to answer certain types of questions from prospective customers.
  • 24. While you shouldn’t expect AI to write the next best seller, it could be the ideal tool if you want to pitch mass content to find unique locations and buyer personas. It’s far superior to the currently existing tools of article spinning and scrapping. If you have ever read anything produced by either of these software programs, you know how robotic and useless it sounds.
  • 25. With AI, you can combine the best conversational skills from smart devices and chatbots and apply it to copywriting. This allows you to develop content that appeals to people who are searching for your product or service using long-tail keywords. AI learns the patterns and rules of your current content and then produces new content. Although it’s specific to your industry, you can apply it to various niches. This provides you with maximum flexibility as you create your marketing campaigns.
  • 26. We encourage you to contact us at Call Sumo if you have additional questions about this technology or to request a demonstration.