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The Future of AI in
The Future of AI in
Digital Marketing:
Digital Marketing:
Transforming
Transforming
Customer Experiences
Customer Experiences
ADSY
AI-powered customer profiling and
AI-powered customer profiling and
personalization
personalization
AI-driven customer engagement and
AI-driven customer engagement and
interaction
interaction
AI analytics and insights for informed
AI analytics and insights for informed
decision-making
decision-making
Ethical considerations and future challenges
Ethical considerations and future challenges
Agenda
Agenda
Where Are We Now?
Where Are We Now?
37% of companies
37% of companies already use AI, and nine out
already use AI, and nine out
of ten organizations invest in AI technologies.
of ten organizations invest in AI technologies.
On top of that,
On top of that, 63% of professionals
63% of professionals expect
expect
their firms to put more money into AI in the next
their firms to put more money into AI in the next
few years.
few years.
One of the most palpable AI implications
One of the most palpable AI implications
happens in digital marketing.
happens in digital marketing.
Let's see how AI can qualitatively improve
Let's see how AI can qualitatively improve
customer journeys and interactions with your
customer journeys and interactions with your
brand.
brand.
AI-powered customer profiling
AI-powered customer profiling
and personalization
and personalization
Leverage AI algorithms to understand your clients better.
Leverage AI algorithms to understand your clients better. AI-driven
AI-driven
personalization employs advanced algorithms as well as machine learning (ML)
personalization employs advanced algorithms as well as machine learning (ML)
to analyze tons of customer data. That gives you more insights and allows you to
to analyze tons of customer data. That gives you more insights and allows you to
make better decisions.
make better decisions.
User purchase history,
User purchase history,
User browsing data,
User browsing data,
User interactions with
User interactions with
social media,
social media,
User demographic
User demographic
data.
data.
So,
So, how will AI help you personalize user experiences?
how will AI help you personalize user experiences? The tools will collect,
The tools will collect,
analyze, and structure information based on:
analyze, and structure information based on:
Though AI analysis and personalization tools
Though AI analysis and personalization tools
will save you time,
will save you time, you still need some work
you still need some work
to do
to do. If you want to run the personalization
. If you want to run the personalization
initiative smoothly, you need to:
initiative smoothly, you need to:
Outline your goals and objectives,
Outline your goals and objectives,
Base on top-tier user data,
Base on top-tier user data,
Constantly test the results and make
Constantly test the results and make
improvements,
improvements,
Stay transparent and notify clients
Stay transparent and notify clients
that you collect data,
that you collect data,
Personalize throughout all your
Personalize throughout all your
channels (site, blog, social media,
channels (site, blog, social media,
etc.)
etc.)
AI-driven customer
AI-driven customer
engagement and interaction
engagement and interaction
Chatbots and virtual assistance turned out to be really
Chatbots and virtual assistance turned out to be really
impactful in the past couple of years.
impactful in the past couple of years. The fact that they can be
The fact that they can be
based on AI technology makes them even more effective and
based on AI technology makes them even more effective and
powerful.
powerful.
This way, chatbots and assistants can deal with a full scale of
This way, chatbots and assistants can deal with a full scale of
routine customer queries. You can create
routine customer queries. You can create a helpful way of
a helpful way of
answering users’ questions and serving them 24/7
answering users’ questions and serving them 24/7. Your human
. Your human
support team, in turn, can handle more complicated requests
support team, in turn, can handle more complicated requests
allowing you to cater to clients’ needs better.
allowing you to cater to clients’ needs better.
0 10 20 30 40
Getting a quick answer in an emergency
Resolving a complaint or problem
Getting detailed answers or explanations
Finding a human customer service assistant
Making a reservation (e.g. restaurant or hotel)
Paying a bill
Buying a basic item
Getting ideas and inspiration for purchases
Adding yourself to a mailing list or news service
Communicating with multiple brands using one program
(none of these things)
Buying an expensive item
Predicted use cases for chatbots
Predicted use cases for chatbots
What do you predict you would use chatbot for?
What do you predict you would use chatbot for?
AI analytics and insights for
AI analytics and insights for
informed decision-making
informed decision-making
Customer experience,
Customer experience,
Market
Marketing/Sales growth,
ing/Sales growth,
Productivity.
Productivity.
The latest
The latest McKinsey report
McKinsey report shares that
shares that the
the
rapid rise of generative AI will heavily
rapid rise of generative AI will heavily
impact
impact:
:
As
As generative AI uses a wide stack of data
generative AI uses a wide stack of data
and outperforms traditional AI-based
and outperforms traditional AI-based now,
now,
you can improve processes on all customer
you can improve processes on all customer
journey steps.
journey steps.
create content, personalized to its core,
create content, personalized to its core,
in terms of CX,
in terms of CX,
give the sales department better
give the sales department better
customer insights and analytics,
customer insights and analytics,
f
free s
ree sales team from routine processes
ales team from routine processes
& let focus on current customers and
& let focus on current customers and
prospects.
prospects.
That means you can:
That means you can:
As a matter of fact,
As a matter of fact, gen AI can work on a
gen AI can work on a
whole scope of sales activities
whole scope of sales activities.
.
0 20 40 60
Lead identification (real time, based on customer trends)
Marketing optimization (A/B testing, SEO strategies)
Personalized outreach (chatbots, virtual assistants)
Dynamic content (websites, marketing collateral)
Up/cross-selling recs (via usage patterns, support tickets)
Success analytics (continuous churn modeling)
Marketing analytics (dynamic audience targeting)
Dynamic customer-journey mapping (identifying critical touchpoints)
Automated marketing workflows (nurturing campaigns)
Sales analytics (predictive pricing, negotiation)
Sales coaching (hyper-personalized training)
Commercial leaders are cautiously optimistic
Commercial leaders are cautiously optimistic
about gen AI use cases, anticipating moderate
about gen AI use cases, anticipating moderate
to significant impact
to significant impact
Ethical considerations and
Ethical considerations and
future challenges
future challenges
According to the latest
According to the latest AI Marketing Benchmark Report
AI Marketing Benchmark Report,
, 61.4% of marketers
61.4% of marketers
have used AI in their marketing activities
have used AI in their marketing activities. Nevertheless, the fact that AI has
. Nevertheless, the fact that AI has
gained wide usage and popularity, you can forget about its limitations.
gained wide usage and popularity, you can forget about its limitations.
That said, we urge you to keep in mind the possible risks AI can carry.
That said, we urge you to keep in mind the possible risks AI can carry.
A vital part of AI employment is understanding that this technology is still
A vital part of AI employment is understanding that this technology is still
developing and has some pain points.
developing and has some pain points. As AI is still learning, it can make
As AI is still learning, it can make
mistakes or false judgments.
mistakes or false judgments. That’s why sometimes you need to re-check facts.
That’s why sometimes you need to re-check facts.
Another big concern is
Another big concern is data privacy and its protection
data privacy and its protection. That
. That
includes copyright and, hugely, - user data. For example,
includes copyright and, hugely, - user data. For example,
Entrepreneur refers to user data concerns in terms of data
Entrepreneur refers to user data concerns in terms of data
collection and processing for AI-generated content.
collection and processing for AI-generated content.
24% 19% 19%
Safety concerns
Safety concerns
about AI-powered
about AI-powered
systems
systems
19% 14%
Lack of explainability
Lack of explainability
and transparency in
and transparency in
AI-driven decisions
AI-driven decisions
Elimination of jobs
Elimination of jobs
due to AI-driven
due to AI-driven
automation
automation
Using AI to
Using AI to
manipulate people's
manipulate people's
thinking and behavior
thinking and behavior
Potential bias of
Potential bias of
AI algorithms
AI algorithms
95% of AI adopters have some sort of concerns around
95% of AI adopters have some sort of concerns around
ethical risks - with safety of AI systems selected the most
ethical risks - with safety of AI systems selected the most
Top ethical risks
Top ethical risks
Conclusion
Conclusion
Though we still experience AI bias, this technology will continue to
Though we still experience AI bias, this technology will continue to
evolve. Just look at the
evolve. Just look at the numbers
numbers -
- AI in marketing revenue was $15.84
AI in marketing revenue was $15.84
billion dollars in 2021 and will grow to approximately $107.5 billion by
billion dollars in 2021 and will grow to approximately $107.5 billion by
2028
2028.
.
The AI potential for digital marketing is undoubtful.
The AI potential for digital marketing is undoubtful.
AI tools are valuable for creating a top-tier customer experience.
AI tools are valuable for creating a top-tier customer experience. So,
So,
we definitely recommend doing your own research and choosing
we definitely recommend doing your own research and choosing
what tools you can use to optimize your digital marketing.
what tools you can use to optimize your digital marketing.
Read Adsy blog
Read Adsy blog
Email: support@adsy.com
Email: support@adsy.com
Website: adsy.com/blog
Website: adsy.com/blog
LinkedIn
LinkedIn: @Adsy Guest Posting Service
: @Adsy Guest Posting Service
Do you want to learn more about all-things marketing?
Do you want to learn more about all-things marketing?

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The Future of AI in Digital Marketing Transforming Customer Experiences.pdf

  • 1. The Future of AI in The Future of AI in Digital Marketing: Digital Marketing: Transforming Transforming Customer Experiences Customer Experiences ADSY
  • 2. AI-powered customer profiling and AI-powered customer profiling and personalization personalization AI-driven customer engagement and AI-driven customer engagement and interaction interaction AI analytics and insights for informed AI analytics and insights for informed decision-making decision-making Ethical considerations and future challenges Ethical considerations and future challenges Agenda Agenda
  • 3. Where Are We Now? Where Are We Now? 37% of companies 37% of companies already use AI, and nine out already use AI, and nine out of ten organizations invest in AI technologies. of ten organizations invest in AI technologies. On top of that, On top of that, 63% of professionals 63% of professionals expect expect their firms to put more money into AI in the next their firms to put more money into AI in the next few years. few years. One of the most palpable AI implications One of the most palpable AI implications happens in digital marketing. happens in digital marketing. Let's see how AI can qualitatively improve Let's see how AI can qualitatively improve customer journeys and interactions with your customer journeys and interactions with your brand. brand.
  • 4. AI-powered customer profiling AI-powered customer profiling and personalization and personalization Leverage AI algorithms to understand your clients better. Leverage AI algorithms to understand your clients better. AI-driven AI-driven personalization employs advanced algorithms as well as machine learning (ML) personalization employs advanced algorithms as well as machine learning (ML) to analyze tons of customer data. That gives you more insights and allows you to to analyze tons of customer data. That gives you more insights and allows you to make better decisions. make better decisions. User purchase history, User purchase history, User browsing data, User browsing data, User interactions with User interactions with social media, social media, User demographic User demographic data. data. So, So, how will AI help you personalize user experiences? how will AI help you personalize user experiences? The tools will collect, The tools will collect, analyze, and structure information based on: analyze, and structure information based on:
  • 5. Though AI analysis and personalization tools Though AI analysis and personalization tools will save you time, will save you time, you still need some work you still need some work to do to do. If you want to run the personalization . If you want to run the personalization initiative smoothly, you need to: initiative smoothly, you need to: Outline your goals and objectives, Outline your goals and objectives, Base on top-tier user data, Base on top-tier user data, Constantly test the results and make Constantly test the results and make improvements, improvements, Stay transparent and notify clients Stay transparent and notify clients that you collect data, that you collect data, Personalize throughout all your Personalize throughout all your channels (site, blog, social media, channels (site, blog, social media, etc.) etc.)
  • 6. AI-driven customer AI-driven customer engagement and interaction engagement and interaction Chatbots and virtual assistance turned out to be really Chatbots and virtual assistance turned out to be really impactful in the past couple of years. impactful in the past couple of years. The fact that they can be The fact that they can be based on AI technology makes them even more effective and based on AI technology makes them even more effective and powerful. powerful. This way, chatbots and assistants can deal with a full scale of This way, chatbots and assistants can deal with a full scale of routine customer queries. You can create routine customer queries. You can create a helpful way of a helpful way of answering users’ questions and serving them 24/7 answering users’ questions and serving them 24/7. Your human . Your human support team, in turn, can handle more complicated requests support team, in turn, can handle more complicated requests allowing you to cater to clients’ needs better. allowing you to cater to clients’ needs better.
  • 7. 0 10 20 30 40 Getting a quick answer in an emergency Resolving a complaint or problem Getting detailed answers or explanations Finding a human customer service assistant Making a reservation (e.g. restaurant or hotel) Paying a bill Buying a basic item Getting ideas and inspiration for purchases Adding yourself to a mailing list or news service Communicating with multiple brands using one program (none of these things) Buying an expensive item Predicted use cases for chatbots Predicted use cases for chatbots What do you predict you would use chatbot for? What do you predict you would use chatbot for?
  • 8. AI analytics and insights for AI analytics and insights for informed decision-making informed decision-making Customer experience, Customer experience, Market Marketing/Sales growth, ing/Sales growth, Productivity. Productivity. The latest The latest McKinsey report McKinsey report shares that shares that the the rapid rise of generative AI will heavily rapid rise of generative AI will heavily impact impact: : As As generative AI uses a wide stack of data generative AI uses a wide stack of data and outperforms traditional AI-based and outperforms traditional AI-based now, now, you can improve processes on all customer you can improve processes on all customer journey steps. journey steps. create content, personalized to its core, create content, personalized to its core, in terms of CX, in terms of CX, give the sales department better give the sales department better customer insights and analytics, customer insights and analytics, f free s ree sales team from routine processes ales team from routine processes & let focus on current customers and & let focus on current customers and prospects. prospects. That means you can: That means you can: As a matter of fact, As a matter of fact, gen AI can work on a gen AI can work on a whole scope of sales activities whole scope of sales activities. .
  • 9. 0 20 40 60 Lead identification (real time, based on customer trends) Marketing optimization (A/B testing, SEO strategies) Personalized outreach (chatbots, virtual assistants) Dynamic content (websites, marketing collateral) Up/cross-selling recs (via usage patterns, support tickets) Success analytics (continuous churn modeling) Marketing analytics (dynamic audience targeting) Dynamic customer-journey mapping (identifying critical touchpoints) Automated marketing workflows (nurturing campaigns) Sales analytics (predictive pricing, negotiation) Sales coaching (hyper-personalized training) Commercial leaders are cautiously optimistic Commercial leaders are cautiously optimistic about gen AI use cases, anticipating moderate about gen AI use cases, anticipating moderate to significant impact to significant impact
  • 10. Ethical considerations and Ethical considerations and future challenges future challenges According to the latest According to the latest AI Marketing Benchmark Report AI Marketing Benchmark Report, , 61.4% of marketers 61.4% of marketers have used AI in their marketing activities have used AI in their marketing activities. Nevertheless, the fact that AI has . Nevertheless, the fact that AI has gained wide usage and popularity, you can forget about its limitations. gained wide usage and popularity, you can forget about its limitations. That said, we urge you to keep in mind the possible risks AI can carry. That said, we urge you to keep in mind the possible risks AI can carry. A vital part of AI employment is understanding that this technology is still A vital part of AI employment is understanding that this technology is still developing and has some pain points. developing and has some pain points. As AI is still learning, it can make As AI is still learning, it can make mistakes or false judgments. mistakes or false judgments. That’s why sometimes you need to re-check facts. That’s why sometimes you need to re-check facts.
  • 11. Another big concern is Another big concern is data privacy and its protection data privacy and its protection. That . That includes copyright and, hugely, - user data. For example, includes copyright and, hugely, - user data. For example, Entrepreneur refers to user data concerns in terms of data Entrepreneur refers to user data concerns in terms of data collection and processing for AI-generated content. collection and processing for AI-generated content. 24% 19% 19% Safety concerns Safety concerns about AI-powered about AI-powered systems systems 19% 14% Lack of explainability Lack of explainability and transparency in and transparency in AI-driven decisions AI-driven decisions Elimination of jobs Elimination of jobs due to AI-driven due to AI-driven automation automation Using AI to Using AI to manipulate people's manipulate people's thinking and behavior thinking and behavior Potential bias of Potential bias of AI algorithms AI algorithms 95% of AI adopters have some sort of concerns around 95% of AI adopters have some sort of concerns around ethical risks - with safety of AI systems selected the most ethical risks - with safety of AI systems selected the most Top ethical risks Top ethical risks
  • 12. Conclusion Conclusion Though we still experience AI bias, this technology will continue to Though we still experience AI bias, this technology will continue to evolve. Just look at the evolve. Just look at the numbers numbers - - AI in marketing revenue was $15.84 AI in marketing revenue was $15.84 billion dollars in 2021 and will grow to approximately $107.5 billion by billion dollars in 2021 and will grow to approximately $107.5 billion by 2028 2028. . The AI potential for digital marketing is undoubtful. The AI potential for digital marketing is undoubtful. AI tools are valuable for creating a top-tier customer experience. AI tools are valuable for creating a top-tier customer experience. So, So, we definitely recommend doing your own research and choosing we definitely recommend doing your own research and choosing what tools you can use to optimize your digital marketing. what tools you can use to optimize your digital marketing.
  • 13. Read Adsy blog Read Adsy blog Email: support@adsy.com Email: support@adsy.com Website: adsy.com/blog Website: adsy.com/blog LinkedIn LinkedIn: @Adsy Guest Posting Service : @Adsy Guest Posting Service Do you want to learn more about all-things marketing? Do you want to learn more about all-things marketing?
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