AI marketing uses artificial intelligence technologies to make automated decisions based on data collection, data analysis, and additional observations of audience or economic trends that may impact marketing efforts. AI marketing tools use data and customer profiles to learn how to best communicate with customers, then serve them tailored messages at the right time without intervention from marketing team members, ensuring maximum efficiency.

1. IN MARKETING
AI
PASSIONATE IN MARKETING

2. Passionate in Marketing (PIM) is one of the fastest-growing
marketing and advertising news publishing portals in India
connecting marketing professionals, academicians and students. It
is an initiative of MaxEd, the first of its Academia-Industry connect
platform and is promoted by i-miRa Knowledge Solutions.
https://www.passionateinmarketing.com/

3. Artificial intelligence (AI)
What is AI Marketing?
AI Marketing Use Cases
Types of AI Marketing Solutions
Challenges for AI Marketing
Contents
How to Use AI in Marketing
Benefits of Leveraging AI in
Marketing
Key takeaways:

4. Artificial
intelligence(AI)
It is the science and
engineering of making
intelligent machines, especially
intelligent computer programs.
Artificial intelligence leverages computers and
machines to mimic the problem-solving and decision-
making capabilities of the human mind.

5. What is AI Marketing?
AI marketing uses artificial
intelligence technologies
to make automated decisions based on data collection,
data analysis, and additional observations of audience
or economic trends that may impact marketing efforts.
AI marketing tools use data and customer profiles to
learn how to best communicate with customers, then
serve them tailored messages at the right time without
intervention from marketing team members, ensuring
maximum efficiency.

6. AI Marketing Use Cases
Collecting and sifting
through large amounts of
marketing data from
various campaigns and
programs.
DATA ANALYSIS
Creating human-like
language for content
creation, customer service
bots, experience
personalization and more
NATURAL
LANGUAGE
PROCESSING
(NLP)
Predicting the most
effective ad and media
placements for a business
in order to reach their
target audience and
maximize marketing
strategy ROI.
MEDIA BUYING:

7. TYPES OF AI MARKETING SOLUTIONS
Machine Learning
Machine learning is driven by artificial intelligence, which involves computer
algorithms that can analyze information and improve digital marketing
campaigns automatically through experience.
Big Data and Analytics
The emergence of digital media has brought on an influx of “big data”,
which has provided opportunities for digital marketers to understand their
efforts and accurately attribute value across channels.
AI Marketing Platforms & Tools
Effective AI-powered marketing solutions provide digital marketers with a
central platform for managing the huge amounts of data being collected.

8. CHALLENGES FOR AI MARKETING
Training Time and Data Quality
AI marketing tools do not automatically know which actions to take to achieve
marketing goals. They require time and training, just as humans do.
Privacy
Digital marketing teams need to ensure they are using consumer data ethically and
in compliance with standards or risk heavy penalties and reputation damage.
Getting Buy-In
It can be difficult for digital marketing teams to demonstrate the value of AI
marketing investments to business stakeholders.
Deployment Best Practices
Because AI marketing is a newer tool in the digital marketer’s toolbox, definitive best
practices haven’t yet been established to guide marketing teams’ initial deployments.
Adapting to a Changing Marketing Landscape
With the emergence of AI marketing comes with a disruption in day-to-day marketing
operations.

9. HOW TO USE AI IN MARKETING
Establish Goals
As with any marketing program, it is important that clear goals and marketing
analytics are established for your AI marketing program from the outset.
Data Privacy Standards
Be sure that your AI marketing platform will not cross the line of acceptable data use
in the name of data personalization.
Data Quantity and Sources
In order to get started with AI marketing, digital marketers typically need to have a
vast amount of data at their disposal.
Acquire Data Science Talent
Many marketing teams lack employees with the necessary data science and AI
expertise, making it difficult to work with vast amounts of data and deliver insights.
Maintain Data Quality
As machine learning and AI marketing programs consume more data, they will learn
how to make accurate, effective decisions.

10. BENEFITS OF LEVERAGING AI IN MARKETING
Increased Campaign ROI
AI platforms can make fast decisions on how to best allocate funds across media
channels or analyze the most effective ad placements more consistently engage
customers, getting the most value out of campaigns.
Better Customer Relationships & Real-Time
Personalization
AI marketing can help you deliver personalized messages to customers at
appropriate points in the consumer lifecycle.
Enhanced Marketing Measurement
Many organizations have trouble keeping pace with all of the data digital marketing
campaigns produce, making it difficult to tie success back to specific campaigns.
Make Decisions Faster
AI marketing is able to conduct tactical data analysis faster than its human
counterparts and use machine learning to come to fast conclusions based on
campaign and customer context.