Discover the top 5 revolutionary digital marketing trends that are breaking the mold and shaping the future of the industry. From AI-powered personalization to immersive experiences in the Metaverse, stay ahead of the competition with these cutting-edge strategies.

1. 5
MARKETING TRENDS
FOR 2023
3
2
Monitoring
fake content
through AI
Digital Twin of
Customer
Generative AI in
Marketing
1
Granular
Personalization
Computer
Vision
5
4

2. 5 Marketing
Trends for
2023
Welcome to our research and development asset on
the "Top Marketing Trends" that every marketer
should be aware of. In today's fast-paced digital
world, staying up-to-date with the latest trends in
marketing is essential to stay ahead of the
competition.
The emergence of Artificial Intelligence (AI) in
marketing has revolutionized the way businesses
approach their marketing strategies.
AI has opened new avenues for marketers to
understand their target audience, create
personalized content, and streamline their marketing
campaigns.
Introduction

3. This research and development asset will
take a deep dive into the top marketing
trends that every marketer should be aware
of.
Our analysis will focus on how AI is
impacting the day-to-day functioning of a
marketer and the changing landscape of
technology.
We will examine various technologies that
are available in the market and how they can
help marketers improve their marketing
efforts.
Our goal is to provide marketers with insights
into the latest marketing trends, to help them
navigate the dynamic digital landscape and
stay ahead of their competitors.
With the right knowledge and tools,
marketers can leverage the latest trends and
technologies to create more effective
marketing campaigns and achieve better
business results.
So, let's get started and explore what it is that
every marketer should be aware of in the era of
AI, changing technology, and the ever-evolving
Martech landscape.
5 Marketing
Trends for
2023
Purpose of the report

4. 60%
Current Trends and Future
Projections in Customer Experience
DTOC
WHY DTOC ?
Value
Retention
Growth
DIGITAL TWIN OF
CUSTOMER
Digital Twin of a Customer, is a virtual
model that replicates a customer's
behavior, preferences, and actions to
improve personalized experiences.
Targeted marketing campaigns
Personalized product recommendations
Adidas created a DTOC platform that collects and
analyzes customer data to create a personalized
shopping experience. The platform uses machine
learning and AI to create a digital replica of a
customer, ultimately creating
DToC will scale delivering a nuanced
customer experience manifold.
DToC's power plug is contextualizing
historical data to help understand
what customers really need
By 2025, 60% of all customer
interactions will be based on DTOC-
generated insights.
Companies that leverage
DToC for customer
engagement will see a 30%
increase in customer
lifetime value.
DToC-powered
personalization will reduce
customer churn rates by
25%.
DToC's predictive analysis
capabilities will help
companies increase sales by
20% by 2030.
KEY MARKET PLAYERS
Source: Technavio, Forecast and Analysis 2021-2025
SUCCESS CASE

5. MONITORING FAKE
CONTENT THROUGH AI
PROJECTIONS
KEY MARKET PLAYERS
WHAT IS IT?
AI can detect and flag fake content, including images and
videos, by analyzing patterns and discrepancies. This
helps to identify and remove misleading information from
social media and other online platforms.
IMPLEMENTATION
IBM's "Watson Discovery" incorporates
natural language processing to identify
fake news and other forms of
misinformation in multiple formats and
for both public and private data.
SOURCE: IBM.COM
US Adults' worry about
misinformation (pew 2021)
Number of Deepfakes increased
by 300% (OPENAI)
Deepfake videos have
Increased by 330% (deeptrace)
By the end of 2022, most people
in developed countries will
consume more misinformation
than true information.
Will mislead marketers into
making incorrect assumptions
about their target audience
Will cause Loss of BRAND
trust and credibility among
consumers

6. 190 B 34%
KEY MARKET PLAYERS
WHAT IS IT?
WHERE ARE WE HEADING?
GENERATIVE AI IN
MARKETING
Generative AI analyzes large datasets to
create unique content, similar to, but not
identical to, the original. This allows the
algorithms to train themselves to generate
accurate content and produce better results
each time.
As of 2023, there are approximately
250+ startups building generative AI
in marketing across 45 categories
including gaming, retail, and legal in
diverse fields such as image, code,
speech, video, and text generation.
GENERATIVE AI APPLICATIONS IN DIGITAL MARKETING
Content
Generation
Ad Copy
and Design
Predictive
Analytics
Siemens Simcenter Studio is a web app
for discovering better system
architectures (sa). Simcenter finds the
ideal solution through generative AI and
generates results to align with user
requirements, delivering customized sa
faster than before.
Source: Sequoia Capital
Simcenter Studio Hybrid Vehicle Design Application Example
(Courtesy of Siemens Digital Industries Software)
GENERATIVE AI PREDICTIONS
Chatbots
Virtual
Try-ons
By 2025, companies using
generative AI in marketing
will move 75% of
operational activities into
strategic tasks.
By 2025, 70% of
enterprise CMOs will
consider accountability
for ethical generative AI
in marketing to be the
topmost concern.
By 2027, 80% of
enterprise marketers
will establish a content
authenticity function.
The market for
Generative AI will grow
to $190 billion by 2025.
CAGR should be 34%
from 2022 to 2030.
(Acumen Research)

7. Granular personalization improves customer engagement and loyalty by
tailoring content and experiences to individual users. As technology
advances, the capabilities of personalization will continue to expand,
providing a competitive advantage for companies that invest in this
area. However, companies must balance the benefits with privacy
concerns and give users control over their data.
GRANULAR
PERSONALIZATION
FUTURE PROJECTIONS
KEY MARKET PLAYERS
80%
80%
WHAT IS IT?
Granular personalization is an advanced form of
personalization that goes beyond basic demographic or
user behavior data.
CONCLUSION
Shoppers are more likely to make
a purchase with personalization
Increase in sales for Brands that
use granular personalization in
Marketing
Consumers engage with marketing
messages catering to their interests.
AI will use data from various sources to create advanced
personalization algorithms.
Personalization will expand to healthcare and other areas,
developing treatment plans based on an individual's data.
More privacy emphasis, more control over personal
data, opt-in/out options, and increased transparency.

8. Amazon uses computer vision to let customers visualize
products in their homes, reduce returns, analyze
customer behavior, and create personalized marketing
campaigns, resulting in improved customer experience
and increased sales.
7.6%
2.5 M $11.94 B
$2.4 B
Computer vision would be essential for marketers in the upcoming decade to
understand customer behavior, create more personalized experiences and to
enhanced customer insights.
WHAT IS IT?
WHY IS IT BENEFICIAL?
Social media marketing
In-store analytics
3D Reconstruction
COMPUTER
VISION
Computer vision is a field of artificial
intelligence that focuses on enabling
computers to interpret and understand
visual data.
Is the expected annual growth rate of
computer vision from 2021 to 2028
Computer vision can provide valuable
insights and automation to help
digital marketers reach their goals
more effectively.
2.5 million jobs to be created
by computer vision industry
by 2023
Will help Analyze images
and videos on social media
to understand target
audience effectively
Use computer vision to
track customer behavior
for in-store insights on foot
traffic, popular products,
and layout optimization.
Computer vision can be
used to reconstruct 3D
models from 2D images
or video footage.
KEY MARKET PLAYERS
CONCLUSION
Computer vision in healthcare
will have an anticipated market
value of $2.4 billion by 2023.
The global computer vision in
marketing market will reach
$11.94 billion by 2023
Current Trends and Future
Projections in Customer Experience

9. In conclusion, the digital marketing landscape
is evolving rapidly, and it's essential for
businesses to stay ahead of the curve in order
to remain competitive. As we look ahead to
2023, it's clear that emerging technologies like
AI, AR, and search will continue to shape the
way that consumers engage with brands
online.
Personalization and customer experience will
also remain top priorities for marketers, as they
seek to build long-term relationships with their
audiences. It's important for businesses to stay
agile and adapt to these trends in order to
succeed in an increasingly competitive
marketplace. By embracing new technologies,
prioritizing customer needs, and staying up-to-
date with the latest digital marketing strategies,
businesses can position themselves for
success in the years to come.
5 Marketing
Trends for 2023
Conclusion
THANK YOU!