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Introduction
 It’s no surprise that Artificial Intelligence (AI) is leading
the way in almost every industry it is adopted. The latest
statistics show that current AI technology can boost
business productivity by up to 40%.
 Amid the rapid dissemination of new technologies
recently, a lot of market leaders have been stimulated to
step up in a more advanced and efficient area, in which AI
has solidified itself as the most powerful weapon.
 Clearly, businesses that have AI under their power will have
more chances to stay ahead in the competition in many
different ways. In fact, more and more are investing in AI
marketing - a great adoption to revolutionize the way we do
marketing.
What is AI Marketing?
 AI is an interdisciplinary science with multiple approaches.
that’s why we can see a lot of answers to the question
“What is Artificial Intelligence?” , there is no singular
definition of AI that is universally accepted.
 At its core, Artificial Intelligence is a constellation of many
different technologies that are capable of performing tasks
requiring human intelligence. When applied to the usual
business tasks, these technologies can learn, act, and
perform with human-like levels of intelligence. It is used to
simulate human intelligence in machines, saving us a lot of
time and money in doing business.
Four Different Approaches of AI
 Think humanly
 Think rationally
 Act humanely
 Act rationally
 According to the United States Patent and Trademark
Office (USPTO), technologies that belong to the AI
landscape include machine learning, knowledge
processing, AI hardware, natural language processing,
evolutionary computation, computer vision, speech
recognition, and planning/control.
Why is AI Marketing important?
 The impact of artificial intelligence in digital
marketing is huge. It is surveyed that, 76% of
customers expect companies to understand their
needs and expectations. AI marketing allows
marketers to crunch a huge amount of marketing data
analytics from social media, emails, and the Web in a
relatively faster time. That’s why AI marketing is a
must for every business.
Benefits of AI Marketing
 Automation
 AI makes your marketing automation more intelligent. It
can work with marketing automation to enable translating
data into decisions, meaningful interactions and positively
impact your business outcomes.
 Everything is about data, but what matters more is quickly
and accurately turning data into actionable insights. In
other words, the speed with which the marketing tasks are
executed and implemented is a critical element that AI
marketing can bring to your business. AI can help
marketers scale the number of campaigns they create,
determine the next best actions for customers, and then
define which campaign to send to them properly.
Benefits of AI Marketing
 Minimizing errors
 Humans are naturally prone to making mistakes. AI and human
error - a broadly-discussed topic that many have come to an
argument over whether AI can be a remedy for human error?
 Unquestionably, Artificial Intelligence exists to avoid human
intervention that eliminates the likelihood of human error.
Provenly, AI can help with human errors, especially in the most
concerning aspect: data security.
 The common data security problems make many businesses
worry about the lack of ability of their employees to safeguard
customer data and other critical data of the business. The cyber-
attacks increase is the risk that every e Commerce business has
to weigh. Fortunately, AI can help address these problems by
learning, adapting, and reacting to the cyber security a business
needs.
Benefits of AI Marketing
 Cost savings
 AI can help you eliminate many slash-and-burn resources usually used
to create and employ a marketing strategy. With AI, you can achieve a
significant cost reduction by working more quickly and efficiently,
increasing your revenue.
 When your organization is spending too much money and hours to get
things done, AI can help you complete repetitive and mundane tasks. It
shortens the time that those tasks are originally done by your staff
while reducing the errors to zero. The costs for hiring employees can be
slashing significantly while taking advantage of available talents to do
more critical tasks.
 With AI, you can work more efficiently.
 For example, a content manager can use AI to perform thousands of
copy and creative variations of the A/B tests and construct email
subject lines automatically, speeding up the process and performing
even better than humans.
Benefits of AI Marketing
 Increased Return on investment
 AI helps marketers better understand customers and improve
customer experiences. AI-powered marketing enables marketers
to create a predictive customer analysis and design customer
journey more targeted and individually tailored, which
effectively increases ROI on each customer contact.
 Through AI, marketers can gain greater customer insights and
know better how to group them, and drive them to the next step
to bring in the best experience on their journey.
 By deeply analyzing customer insights and understanding what
they actually want, marketers can maximize ROI without
wasting budgets on efforts with no effects. They can also avoid
dwelling on mind-numbing campaigns that annoy customers.
Benefits of AI Marketing
 Increased personalization
 We have heard a lot about personalization across shopping in the
digital world. That’s what customers increasingly stick out for when it
comes to online shopping.
 So what’s the secret to better personalization e Commerce businesses
can use to win customers’ hearts?
 The answer is Artificial Intelligence (AI).
 Artificial Intelligence will make your marketing more personalized in
many different ways. Many companies are already using AI to
personalize their websites, emails, social media posts, video, and other
content to address better what customers want.
 For instance, e Commerce business doers are getting more positive
results by making push notifications mobile-friendly. When done well,
push notifications delivered via mobile gain more attention from
customers because it creates a sense of personalization.
Benefits of AI Marketing
 Smarter and faster decision making
 AI helps conduct data much faster than human
intervention, guarantees the accuracy, security, and enables
your team to focus on strategic initiatives to make effective
AI-powered campaigns.
 AI is able to collect and track real-time tactical data so that
marketers can make decisions right at the moment without
having to wait until the campaigns end. They can
determine what to do next based on the data-driven
reports so that the decisions will be smarter and more
objective.
How to use AI in Marketing?
 Sales forecasting
 Knowing what to do next and doing it right is what every business
should aim to meet customers’ expectations and earn more sales. The
application of AI in marketing makes it easier for marketers to
understand customers and participate in their actions based on the
data collected on their contacts and past purchases.
 Through this system, you can predict what customers will buy next and
the quantity of a product sold. It helps you define what product to
promote and promote to whom to drive higher sales. This way of
creating business intelligence also enables you to avoid overselling or
selling out-of-stock products by balancing your inventory.
 An example of software that uses AI to aid marketing reps is Qurious.
The software helps your marketing or sales reps understand every
conversation with prospects instantly without paying outrageous
amounts of speech-to-text costs.
Get AI-powered customer insights
 The main reason businesses use AI is for data collection.
 The insights that AI collects for businesses are valuable sources for
them to understand customers at their best and make customer-
centered decisions. AI enables external market knowledge by analyzing
the vast amount of online content on social media platforms, blogs, or
other platforms.
 Marketers can easily create customer personas based on billions of data
collected from AI algorithms. They are on-site interactions, geographic
specials, purchase behaviors, past interactions/communications,
referral sources, and more.
 From then, customer segmentation can be done more effectively.
Marketers can identify more clearly which customers should be
targeted and included or excluded from the campaign, better match
customers to the products they’re likely to buy, and prevent promoting
irrelevant or out-of-stock products to customers.
Craft personalized customer
experience
 Brands can use AI to improve customer experience by
offering personalized content and offers and top-notch
support to each individual customer.
 Think about the last time you visited an online store. You
see a page with products you may enjoy and features
selections exactly what you are going to buy. AI is used to
analyze the products you’ve purchased in the past and
recommends products that fit your needs. This is an
example of how AI improves customer experience with
personalization.
 The result of a personalization campaign using AI is more
sales, engagement, and customer retention.
Content Generation
 AI-powered tools can help the works of content
creators much more efficiently and easily.
 Though the core of the content is routed from human
creativity, you can use AI tools to maximize your
content team’s efficiency by automating specific tasks
such as email content, personalized reports/messages,
or social media content curation.
 Some tools like Rocco can help you create fresh social
media content that increases your followers’
engagement.
AI-enhanced PPC advertising
 AI is also used widely in PPC advertising. According
to GoodFirms, researches showed intriguing findings of the
application of Artificial Intelligence in PPC (pay-per-click
advertising) from PPC gurus.
 In particular, some top of AI applications in PPC are:
 Smart bidding
 Micro-moment targeting
 Responsive ads
 Performance analysis
 Dynamic search ads
 Price optimization
 Account management
Chatbots
 You might have at least once chatted with a bot in an online
store, from their Live Chat on the website, or through social
media, especially Facebook Messenger. This is how AI is
applied to build better customer service.
 Besides responding to the repetitive questions from
customers - those questions related to price, size, or
quantity, AI is used at its best to create personalized and
tailored content that might be more efficient than humans.
 Mobile Monkey’s chatbot Also, It would be best to combine
AI chatbots with personalized content marketing to turn
them into proactive advertisers, not just used for direct
customer acquisition.
Top 10 Best AI Chatbot for
enterprise customer service.
 Speech Recognition
 Currently, we already have similar AIs with speech recognition
capabilities. Ever heard of Siri, Google Assistant, or Alexa? These
are just some of the most popular chatbots that use speech
recognition.
 These AIs can recognize spoken words and/or convert them into
the text to execute the command. Speech recognition is even
used in apps such as Google Maps, Shazam, and other hands-free
systems.
 So how can marketers take advantage of speech recognition for
their campaigns? Well, >55% of households will have a smart
speaker by 2022 from just 13% in 2018. Moreover, sales from voice
shopping are expected to jump to USD 40 billion in 2022, up
from just USD2-billion in 2018. If the data are to be believed, t
 Dynamic Pricing
 This AI is often referred to as personalized pricing. It’s a pricing
strategy wherein a product’s price is determined by demand and/or
supply. A good example is the prices of ride-sharing apps that increase
as demand rises or when you can’t find a discount when you need to
purchase a product online.
 An application’s or website’s bot can monitor your predictive analytics
use cases such as cookies, history, searches, and other activities, to
provide you with real-time pricing. This means you get fewer discounts
and/or higher prices for the product/service you need at the moment.
It sounds unfair, doesn’t it? But there are always two sides to a story.
 Customers can benefit from dynamic pricing when the demand for a
product is down. A good example of this is when hotel rooms go
unsold. To help decrease the chances of a vacancy, dynamic pricing can
offer competitive pricing to attract customers.
 Automated email content curation
 Content curation is about finding great content and presenting it
to your audience in an effective way. Simply, you share content
created by others with your followers.
 However, it’s not just re-sharing content; this process is done by
adding more values to your content that’s more likely to engage
your audience.
 With Artificial Intelligence, you can curate content and put it
into action on the fly. The automation will save you time
scheduling and sending emails to customers. After segmenting
your audience and their emails, AI helps you personalize your
newsletter’s content sent to each of your audiences.
Your newsletters need to be more relevant from what you say to
the links your audience will click.
 Automated image recognition
 Big brands like Google, Facebook, Pinterest, and Amazon use AI to
identify people and objects in images and videos with an accuracy
percent up to 99.75%.
 If you are a Facebook user, you may notice how exact the system has
become at recognizing your friends’ faces in the photos you post and
automatically tag them.
 From a marketing perspective, image recognition can better syn the
online content and store visits. Many stores trace customers’ in-store
visits through facial recognition software and link to their profile to
serve them with a better online shopping experience. Some others
combine this technology with AI-managed push notifications to send
real-time offers, discounts, and personalized messages to customers
individually. This increases the interactions between stores and
customers as well as keeps their excitement longer when staying in the
store.
 Ensure data quality and privacy
 Once fully and correctly implemented, AI can improve the
data quality and privacy of an organization. Usually,
marketers will need a vast amount of data at their disposal.
Therefore, to leverage Artificial Intelligence solutions, it’s
crucial to have quality data in a place that is suitable for AI
to perform its job.
 Think of using a modern data warehouse and deploy all-in-
one data management software to avoid data quality issues
caused by complicated data management.
 AI provides you with better data acquisition and prevents
this rich source of information from being harmed by cyber
attacks.
Examples of AI in Marketing
 1. Nike - Personalized online experiences
 Nike creates personalized experiences for customers
by using artificial intelligence. The technology enables
Nike’s website to recommend products that uniquely
suit customers. It also enables customers to search for
products using conversational language, images
without interacting with a person.
 Nike uses AI thoroughly to personalize the customer
journey, which is a huge value-add to their business.

Examples of AI in Marketing
 2. Amazon - Personalized shopping recommendations
 Amazon has set the standard for product recommendations and continues to be the
leader in the e Commerce marketplace today.
 Amazon’s product recommendations feature provides customers with a more
personalized and enjoyable shopping experience. Research shows that 53% of
shoppers say they always do research before buying a product to make sure that they are
making the best possible purchase. That’s why product recommendations will be a great
help for customers to find what they are looking for.
 Whether the recommendations are based on customers’ historical purchases or just
similar products at different pricing points, it’s effective to educate customers and
empower them to make the purchase decision much easier. esides, Amazon also designed
a pricing strategy to excel in the modern and ever-changing market. Amazon’s dynamic
pricing is a great success. Instead of overwhelming customers with the rapid changes in
prices, the company leverages this strategy to adjust its prices at the same rapid pace of
the market demand. This helps Amazon stay ahead of the competition and grab the first-
mover advantage to offer customers compelling products’ prices before their rivals take
any action.
Examples of AI in Marketing
 3. Alibaba – Fashion AI store
 Alibaba brings AI to fashion to improve the fashion retail experience by
opening a physical FashionAI store in Hong Kong. This use of Artificial
Intelligence effectively simplifies the apparel shopping experience and
gains more customers’ interest.
 Alibaba’s FashionAI store uses 3 key features to streamline the fashion
retail experience for customers:
 Smart lock to capture customers’ preference: Products in this store
have special tracking tags containing radio-frequency identification,
gyro-sensors, low-energy Bluetooth chips. Each garment will carry
specialized information about the item it’s attached to. The amazing
gyro-sensor will empower the tag to decide which items can be touched
and which one is not.

Examples of AI in Marketing
 Smart mirrors: The store’s mirrors are located on the sales floor
and in changing rooms with intelligent touch screens. It displays
the information about the items customers are interacting with
thanks to the intelligent locks equipped with each product.
Smart mirrors can also recommend other apparel to complement
the items customers are currently browsing.
 New fitting experience: This concept enables customers to
quickly get the best look at what they wear by adding suggested
garments and accessories brought to them by the store’s staff
after they try out an item. FashionAI also carries increased
omnichannel capability with a “Virtual Wardrobe” on its mobile
Taobao app. This feature allows customers to view the clothes
they are trying on along with other recommended items that
would complement their outfits.
Examples of AI in Marketing
 4. BMW - Intelligent Personal Assistant
 Besides the technology to learn about the driver and adjust the
system and cabin experience to best fit each individual, BMW’s
AI-enhanced sports cars are also equipped with an intelligent
personal assistant. This personal assistant enables various
vehicle functions such as Climate control, Lights, Media, and
settings like Caring car, Experience Modes, etc.
 This amazing assistant allows drivers to communicate with their
cars like they do with smartphones. It is a voiced-activated
manual that can anticipate travel routes to simplify the
destination input, alert the drivers, and integrate with other
apps.

Examples of AI in Marketing
 5. Starbucks - Reward Program/Mobile App
 Starbucks captures its prospects’ data through the use of AI in Rewards
Program and Mobile App.
 In fact, Starbucks has successfully built its relationships with customers
through this Rewards Program. For example, the company gives its customers
free coffee on their birthdays. Via its mobile app, customers can talk with the
barista via voice assistance to order their coffee.

 Reward Points Extension for Magento 2
 Convert buyers to loyal customers effortlessly Learn more

 Through this AI-powered tool, Starbucks acquires your buying history and
gives you tastes they know you will enjoy after considering the date of
purchase, the time of order, and the location.
Can AI replace marketers? How can
they work in tandem?
 At the end of the day, marketing decisions come from human beings.
AI can help marketers accomplish and improve what they are doing
and what to do next, but it can’t replace them entirely.
 Unquestionably, AI helps marketers fulfill their dream to do marketing
in a personalized and meaningful way.
 To achieve success in AI marketing, there are some considerations for
marketers:
 Ensure your data is sufficient for the AI algorithms to learn from and
analyze accurately.
 Never leave it all for tools when it comes to personalization. The
content needs to be natural to users.
 Define where AI can make the biggest impact and bring on the highest
ROI for your business.
 If you are on the hunt for AI marketing vendors, consider choosing
those that can help you make the right decisions for your campaigns.
Conclusion
 A final thought
 Artificial Intelligence has made leaps and bounds
since a long time ago, and it already shapes the future
of marketing. It’s up to you to implement this
technology in your business. But one thing for sure is
that AI is the future. If you plan on running a
successful online business in the coming years, using
AI-powered marketing and tools is a must.
Thank You

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AI Marketing-2.pptx

  • 1.
  • 2. Introduction  It’s no surprise that Artificial Intelligence (AI) is leading the way in almost every industry it is adopted. The latest statistics show that current AI technology can boost business productivity by up to 40%.  Amid the rapid dissemination of new technologies recently, a lot of market leaders have been stimulated to step up in a more advanced and efficient area, in which AI has solidified itself as the most powerful weapon.  Clearly, businesses that have AI under their power will have more chances to stay ahead in the competition in many different ways. In fact, more and more are investing in AI marketing - a great adoption to revolutionize the way we do marketing.
  • 3. What is AI Marketing?  AI is an interdisciplinary science with multiple approaches. that’s why we can see a lot of answers to the question “What is Artificial Intelligence?” , there is no singular definition of AI that is universally accepted.  At its core, Artificial Intelligence is a constellation of many different technologies that are capable of performing tasks requiring human intelligence. When applied to the usual business tasks, these technologies can learn, act, and perform with human-like levels of intelligence. It is used to simulate human intelligence in machines, saving us a lot of time and money in doing business.
  • 4. Four Different Approaches of AI  Think humanly  Think rationally  Act humanely  Act rationally  According to the United States Patent and Trademark Office (USPTO), technologies that belong to the AI landscape include machine learning, knowledge processing, AI hardware, natural language processing, evolutionary computation, computer vision, speech recognition, and planning/control.
  • 5. Why is AI Marketing important?  The impact of artificial intelligence in digital marketing is huge. It is surveyed that, 76% of customers expect companies to understand their needs and expectations. AI marketing allows marketers to crunch a huge amount of marketing data analytics from social media, emails, and the Web in a relatively faster time. That’s why AI marketing is a must for every business.
  • 6. Benefits of AI Marketing  Automation  AI makes your marketing automation more intelligent. It can work with marketing automation to enable translating data into decisions, meaningful interactions and positively impact your business outcomes.  Everything is about data, but what matters more is quickly and accurately turning data into actionable insights. In other words, the speed with which the marketing tasks are executed and implemented is a critical element that AI marketing can bring to your business. AI can help marketers scale the number of campaigns they create, determine the next best actions for customers, and then define which campaign to send to them properly.
  • 7. Benefits of AI Marketing  Minimizing errors  Humans are naturally prone to making mistakes. AI and human error - a broadly-discussed topic that many have come to an argument over whether AI can be a remedy for human error?  Unquestionably, Artificial Intelligence exists to avoid human intervention that eliminates the likelihood of human error. Provenly, AI can help with human errors, especially in the most concerning aspect: data security.  The common data security problems make many businesses worry about the lack of ability of their employees to safeguard customer data and other critical data of the business. The cyber- attacks increase is the risk that every e Commerce business has to weigh. Fortunately, AI can help address these problems by learning, adapting, and reacting to the cyber security a business needs.
  • 8. Benefits of AI Marketing  Cost savings  AI can help you eliminate many slash-and-burn resources usually used to create and employ a marketing strategy. With AI, you can achieve a significant cost reduction by working more quickly and efficiently, increasing your revenue.  When your organization is spending too much money and hours to get things done, AI can help you complete repetitive and mundane tasks. It shortens the time that those tasks are originally done by your staff while reducing the errors to zero. The costs for hiring employees can be slashing significantly while taking advantage of available talents to do more critical tasks.  With AI, you can work more efficiently.  For example, a content manager can use AI to perform thousands of copy and creative variations of the A/B tests and construct email subject lines automatically, speeding up the process and performing even better than humans.
  • 9. Benefits of AI Marketing  Increased Return on investment  AI helps marketers better understand customers and improve customer experiences. AI-powered marketing enables marketers to create a predictive customer analysis and design customer journey more targeted and individually tailored, which effectively increases ROI on each customer contact.  Through AI, marketers can gain greater customer insights and know better how to group them, and drive them to the next step to bring in the best experience on their journey.  By deeply analyzing customer insights and understanding what they actually want, marketers can maximize ROI without wasting budgets on efforts with no effects. They can also avoid dwelling on mind-numbing campaigns that annoy customers.
  • 10. Benefits of AI Marketing  Increased personalization  We have heard a lot about personalization across shopping in the digital world. That’s what customers increasingly stick out for when it comes to online shopping.  So what’s the secret to better personalization e Commerce businesses can use to win customers’ hearts?  The answer is Artificial Intelligence (AI).  Artificial Intelligence will make your marketing more personalized in many different ways. Many companies are already using AI to personalize their websites, emails, social media posts, video, and other content to address better what customers want.  For instance, e Commerce business doers are getting more positive results by making push notifications mobile-friendly. When done well, push notifications delivered via mobile gain more attention from customers because it creates a sense of personalization.
  • 11. Benefits of AI Marketing  Smarter and faster decision making  AI helps conduct data much faster than human intervention, guarantees the accuracy, security, and enables your team to focus on strategic initiatives to make effective AI-powered campaigns.  AI is able to collect and track real-time tactical data so that marketers can make decisions right at the moment without having to wait until the campaigns end. They can determine what to do next based on the data-driven reports so that the decisions will be smarter and more objective.
  • 12. How to use AI in Marketing?  Sales forecasting  Knowing what to do next and doing it right is what every business should aim to meet customers’ expectations and earn more sales. The application of AI in marketing makes it easier for marketers to understand customers and participate in their actions based on the data collected on their contacts and past purchases.  Through this system, you can predict what customers will buy next and the quantity of a product sold. It helps you define what product to promote and promote to whom to drive higher sales. This way of creating business intelligence also enables you to avoid overselling or selling out-of-stock products by balancing your inventory.  An example of software that uses AI to aid marketing reps is Qurious. The software helps your marketing or sales reps understand every conversation with prospects instantly without paying outrageous amounts of speech-to-text costs.
  • 13. Get AI-powered customer insights  The main reason businesses use AI is for data collection.  The insights that AI collects for businesses are valuable sources for them to understand customers at their best and make customer- centered decisions. AI enables external market knowledge by analyzing the vast amount of online content on social media platforms, blogs, or other platforms.  Marketers can easily create customer personas based on billions of data collected from AI algorithms. They are on-site interactions, geographic specials, purchase behaviors, past interactions/communications, referral sources, and more.  From then, customer segmentation can be done more effectively. Marketers can identify more clearly which customers should be targeted and included or excluded from the campaign, better match customers to the products they’re likely to buy, and prevent promoting irrelevant or out-of-stock products to customers.
  • 14. Craft personalized customer experience  Brands can use AI to improve customer experience by offering personalized content and offers and top-notch support to each individual customer.  Think about the last time you visited an online store. You see a page with products you may enjoy and features selections exactly what you are going to buy. AI is used to analyze the products you’ve purchased in the past and recommends products that fit your needs. This is an example of how AI improves customer experience with personalization.  The result of a personalization campaign using AI is more sales, engagement, and customer retention.
  • 15. Content Generation  AI-powered tools can help the works of content creators much more efficiently and easily.  Though the core of the content is routed from human creativity, you can use AI tools to maximize your content team’s efficiency by automating specific tasks such as email content, personalized reports/messages, or social media content curation.  Some tools like Rocco can help you create fresh social media content that increases your followers’ engagement.
  • 16. AI-enhanced PPC advertising  AI is also used widely in PPC advertising. According to GoodFirms, researches showed intriguing findings of the application of Artificial Intelligence in PPC (pay-per-click advertising) from PPC gurus.  In particular, some top of AI applications in PPC are:  Smart bidding  Micro-moment targeting  Responsive ads  Performance analysis  Dynamic search ads  Price optimization  Account management
  • 17. Chatbots  You might have at least once chatted with a bot in an online store, from their Live Chat on the website, or through social media, especially Facebook Messenger. This is how AI is applied to build better customer service.  Besides responding to the repetitive questions from customers - those questions related to price, size, or quantity, AI is used at its best to create personalized and tailored content that might be more efficient than humans.  Mobile Monkey’s chatbot Also, It would be best to combine AI chatbots with personalized content marketing to turn them into proactive advertisers, not just used for direct customer acquisition.
  • 18. Top 10 Best AI Chatbot for enterprise customer service.  Speech Recognition  Currently, we already have similar AIs with speech recognition capabilities. Ever heard of Siri, Google Assistant, or Alexa? These are just some of the most popular chatbots that use speech recognition.  These AIs can recognize spoken words and/or convert them into the text to execute the command. Speech recognition is even used in apps such as Google Maps, Shazam, and other hands-free systems.  So how can marketers take advantage of speech recognition for their campaigns? Well, >55% of households will have a smart speaker by 2022 from just 13% in 2018. Moreover, sales from voice shopping are expected to jump to USD 40 billion in 2022, up from just USD2-billion in 2018. If the data are to be believed, t
  • 19.  Dynamic Pricing  This AI is often referred to as personalized pricing. It’s a pricing strategy wherein a product’s price is determined by demand and/or supply. A good example is the prices of ride-sharing apps that increase as demand rises or when you can’t find a discount when you need to purchase a product online.  An application’s or website’s bot can monitor your predictive analytics use cases such as cookies, history, searches, and other activities, to provide you with real-time pricing. This means you get fewer discounts and/or higher prices for the product/service you need at the moment. It sounds unfair, doesn’t it? But there are always two sides to a story.  Customers can benefit from dynamic pricing when the demand for a product is down. A good example of this is when hotel rooms go unsold. To help decrease the chances of a vacancy, dynamic pricing can offer competitive pricing to attract customers.
  • 20.  Automated email content curation  Content curation is about finding great content and presenting it to your audience in an effective way. Simply, you share content created by others with your followers.  However, it’s not just re-sharing content; this process is done by adding more values to your content that’s more likely to engage your audience.  With Artificial Intelligence, you can curate content and put it into action on the fly. The automation will save you time scheduling and sending emails to customers. After segmenting your audience and their emails, AI helps you personalize your newsletter’s content sent to each of your audiences. Your newsletters need to be more relevant from what you say to the links your audience will click.
  • 21.  Automated image recognition  Big brands like Google, Facebook, Pinterest, and Amazon use AI to identify people and objects in images and videos with an accuracy percent up to 99.75%.  If you are a Facebook user, you may notice how exact the system has become at recognizing your friends’ faces in the photos you post and automatically tag them.  From a marketing perspective, image recognition can better syn the online content and store visits. Many stores trace customers’ in-store visits through facial recognition software and link to their profile to serve them with a better online shopping experience. Some others combine this technology with AI-managed push notifications to send real-time offers, discounts, and personalized messages to customers individually. This increases the interactions between stores and customers as well as keeps their excitement longer when staying in the store.
  • 22.  Ensure data quality and privacy  Once fully and correctly implemented, AI can improve the data quality and privacy of an organization. Usually, marketers will need a vast amount of data at their disposal. Therefore, to leverage Artificial Intelligence solutions, it’s crucial to have quality data in a place that is suitable for AI to perform its job.  Think of using a modern data warehouse and deploy all-in- one data management software to avoid data quality issues caused by complicated data management.  AI provides you with better data acquisition and prevents this rich source of information from being harmed by cyber attacks.
  • 23. Examples of AI in Marketing  1. Nike - Personalized online experiences  Nike creates personalized experiences for customers by using artificial intelligence. The technology enables Nike’s website to recommend products that uniquely suit customers. It also enables customers to search for products using conversational language, images without interacting with a person.  Nike uses AI thoroughly to personalize the customer journey, which is a huge value-add to their business. 
  • 24. Examples of AI in Marketing  2. Amazon - Personalized shopping recommendations  Amazon has set the standard for product recommendations and continues to be the leader in the e Commerce marketplace today.  Amazon’s product recommendations feature provides customers with a more personalized and enjoyable shopping experience. Research shows that 53% of shoppers say they always do research before buying a product to make sure that they are making the best possible purchase. That’s why product recommendations will be a great help for customers to find what they are looking for.  Whether the recommendations are based on customers’ historical purchases or just similar products at different pricing points, it’s effective to educate customers and empower them to make the purchase decision much easier. esides, Amazon also designed a pricing strategy to excel in the modern and ever-changing market. Amazon’s dynamic pricing is a great success. Instead of overwhelming customers with the rapid changes in prices, the company leverages this strategy to adjust its prices at the same rapid pace of the market demand. This helps Amazon stay ahead of the competition and grab the first- mover advantage to offer customers compelling products’ prices before their rivals take any action.
  • 25. Examples of AI in Marketing  3. Alibaba – Fashion AI store  Alibaba brings AI to fashion to improve the fashion retail experience by opening a physical FashionAI store in Hong Kong. This use of Artificial Intelligence effectively simplifies the apparel shopping experience and gains more customers’ interest.  Alibaba’s FashionAI store uses 3 key features to streamline the fashion retail experience for customers:  Smart lock to capture customers’ preference: Products in this store have special tracking tags containing radio-frequency identification, gyro-sensors, low-energy Bluetooth chips. Each garment will carry specialized information about the item it’s attached to. The amazing gyro-sensor will empower the tag to decide which items can be touched and which one is not. 
  • 26. Examples of AI in Marketing  Smart mirrors: The store’s mirrors are located on the sales floor and in changing rooms with intelligent touch screens. It displays the information about the items customers are interacting with thanks to the intelligent locks equipped with each product. Smart mirrors can also recommend other apparel to complement the items customers are currently browsing.  New fitting experience: This concept enables customers to quickly get the best look at what they wear by adding suggested garments and accessories brought to them by the store’s staff after they try out an item. FashionAI also carries increased omnichannel capability with a “Virtual Wardrobe” on its mobile Taobao app. This feature allows customers to view the clothes they are trying on along with other recommended items that would complement their outfits.
  • 27. Examples of AI in Marketing  4. BMW - Intelligent Personal Assistant  Besides the technology to learn about the driver and adjust the system and cabin experience to best fit each individual, BMW’s AI-enhanced sports cars are also equipped with an intelligent personal assistant. This personal assistant enables various vehicle functions such as Climate control, Lights, Media, and settings like Caring car, Experience Modes, etc.  This amazing assistant allows drivers to communicate with their cars like they do with smartphones. It is a voiced-activated manual that can anticipate travel routes to simplify the destination input, alert the drivers, and integrate with other apps. 
  • 28. Examples of AI in Marketing  5. Starbucks - Reward Program/Mobile App  Starbucks captures its prospects’ data through the use of AI in Rewards Program and Mobile App.  In fact, Starbucks has successfully built its relationships with customers through this Rewards Program. For example, the company gives its customers free coffee on their birthdays. Via its mobile app, customers can talk with the barista via voice assistance to order their coffee.   Reward Points Extension for Magento 2  Convert buyers to loyal customers effortlessly Learn more   Through this AI-powered tool, Starbucks acquires your buying history and gives you tastes they know you will enjoy after considering the date of purchase, the time of order, and the location.
  • 29. Can AI replace marketers? How can they work in tandem?  At the end of the day, marketing decisions come from human beings. AI can help marketers accomplish and improve what they are doing and what to do next, but it can’t replace them entirely.  Unquestionably, AI helps marketers fulfill their dream to do marketing in a personalized and meaningful way.  To achieve success in AI marketing, there are some considerations for marketers:  Ensure your data is sufficient for the AI algorithms to learn from and analyze accurately.  Never leave it all for tools when it comes to personalization. The content needs to be natural to users.  Define where AI can make the biggest impact and bring on the highest ROI for your business.  If you are on the hunt for AI marketing vendors, consider choosing those that can help you make the right decisions for your campaigns.
  • 30. Conclusion  A final thought  Artificial Intelligence has made leaps and bounds since a long time ago, and it already shapes the future of marketing. It’s up to you to implement this technology in your business. But one thing for sure is that AI is the future. If you plan on running a successful online business in the coming years, using AI-powered marketing and tools is a must.