Google Ads Course | Zeon Academy

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Chatbots and AI in Marketing Enhancing Customer
Engagement
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AI marketing is the use of artificial
intelligence technologies to automate and
optimize marketing activities.

• AI marketing can collect and analyze large
  amounts of data from various sources, such as
  customer behavior, preferences, trends, and
  feedback.
• AI marketing can generate and deliver
  personalized and relevant content, messages, and
  offers to customers based on their data and
  segmentation.
• AI marketing can predict customer outcomes, such
  as churn, retention, loyalty, and lifetime value,
  and help marketers design effective strategies to
  improve them.
• AI marketing can enhance media buying and
  advertising by finding the best channels,
  placements, and timings to reach the target
  audience and maximize the return on investment.
• AI marketing can improve customer experience and
  satisfaction by providing human-like
  interactions, such as chatbots, voice assistants,
  and natural language processing.

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evolution of chatbots

• Chatbots are computer programs that can simulate
  human-like conversations with users. Here is a
  brief overview of the evolution of chatbots
• The first chatbot was ELIZA, created by Joseph
  Weizenbaum at MIT in 1966. It used pattern
  matching and substitution to mimic a
  psychotherapist.
• The next influential chatbot was Parry, created
  by Kenneth Colby at Stanford in 1972. It
  attempted to simulate a person with paranoid
  schizophrenia.

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• In 1995, Richard Wallace developed A.L.I.C.E., a
  natural language processing chatbot that could
  engage in a conversation with a human based on
  predefined rules.
• In 2010, Apple launched Siri, an intelligent
  personal assistant that used voice recognition
  and natural language understanding to perform
  tasks and answer questions.
• In 2022, Google introduced LaMDA, a generative AI
  chatbot that could understand natural human
  language and have open-ended conversations on any
  topic.
• Chatbots have evolved from simple rule-based
  systems to advanced conversational and generative
  AI, and they are currently being used across
  various domains, such as customer service,
  education, entertainment, and health care.

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How chatbots have become integral to customer
interactions

• Chatbots have become integral to customer
  interactions because they can provide 24/7
  service, fast and accurate responses,
  personalized and relevant content, and automated
  actions.
• Chatbots can also reduce the workload and cost of
  human agents, and improve customer satisfaction
  and loyalty.
• According to various sources, the chatbot market
  is expected to grow rapidly in the next few
  years, as more businesses and consumers adopt
  this technology.

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• Here are some statistics on the increasing
  adoption of chatbots in various industries
• The worldwide chatbot marketplace length is
  predicted to develop from USD 5.sixty four
  billion in 2023 to USD 16.seventy four billion
  via way of means of 2028, at a CAGR of 24.32.
• By 2024, customer retail spend thru chatbots
  global will attain USD 142 billionup from simply
  USD 2.eight billion in 2019.
• The conversational AI market, segmented through
  end-consumer vertical and geography, indicates
  huge boom withinside the retail quarter and the
  Asia-Pacific region.

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• Nearly 40 of internet users worldwide prefer
  interacting with chatbots than virtual agents.
• About 90 of customer queries are resolved in 10
  messages or fewer.
• Chatbots will deal with up to 90 of healthcare
  and financial inquiries by 2024.
• The projected value of chatbot eCommerce
  transactions by 2023 is USD 112 billion.
• Only 9 of customers consider that businesses
  must never adopt chatbots.

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Enhanced customer engagement and satisfaction
Chatbots are computer programs that can interact
with users using natural language. They can be
used for various marketing purposes, such as

• Boosting engagement and sales
• Generating and qualifying leads
• Improving customer service
• Segmenting and targeting customers
• Increasing brand awareness and loyalty

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• Chatbot marketing also has some challenges and
  limitations, such as
• Technical issues and errors
• Lack of human touch and empathy
• Ethical and legal concerns etc.

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Use Cases in Marketing

• Customer feedback collection
• Order and refund processing
• Customer onboarding
• Chatbot marketing
• Product recommendations
• Customer support
• Lead generation and qualification

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Overcoming Challenges and Concerns

• Inability to handle complex issues
• Lack of personality and emotional intelligence
• Privacy and security risks
• Strategies to overcome these chatbot challenges
• Integrating human agents
• Adding personality and emotional intelligence
• Ensuring privacy and security

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Choosing the right chatbot platform

• Chatbots also require careful planning, design,
  and evaluation to ensure their effectiveness and
  usability. Here are some of the best practices
  for implementing chatbots
• Set up the goals for your chatbot.
• Choose the best chatbot solution.
• Create chatbot scripts.
• Bolster the bot with your knowledge base
  articles.
• Make it easy to connect with a live agent.
• Design perfect ui.
• Measure the chatbot performance.
• Monitor and continuously improve.

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Real-world examples of brands using AI in
marketing
AI is a powerful technology that can help
businesses create more personalized, relevant,
and effective marketing campaigns. By using
machine learning algorithms and data analysis, AI
can help marketers understand customer behavior,
preferences, and needs, and tailor their content
and messages accordingly.There are many
examples of successful ai-driven marketing
campaigns across different industries and
platforms. Here are some of the most notable
ones
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Netflix The streaming giant uses AI to
recommend content to its users based on their
viewing history, ratings, and other data
points.Sephora The cosmetics retailer uses AI
to transform the beauty industry, by offering a
chatbot that provides support and recommendations
to shoppers, and a virtual artist app that allows
users to try on different makeup products using
augmented realityCoca-Cola The beverage giant
uses AI to innovate its product development and
marketing strategy, by using data and machine
learning to create new flavors, design new
packaging, and optimize its vending
machinesUnilever The consumer goods company
uses AI to improve its brand performance and
social impact, by using data and machine learning
to measure and optimize its marketing campaigns,
reduce its environmental footprint, and enhance
its customer service
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Some of the future trends of chatbots and AI
marketing

• Chatbots will be more human-like Advancements in
  NLP and machine learning (ML) are propelling
  chatbots toward a future where their
  conversations closely mimic human interaction
• Chatbots data from user interactions, such as
  preferences, behavior, needs, and feedback.
• Chatbots will integrate with voice assistants and
  other emerging technologies Chatbots will not be
  limited to text-based interfaces, but will also
  be able to interact with users through voice,
  video, and augmented reality (AR).
• Chatbots will enhance customer experience (CX)
  and loyalty Chatbots will be able to provide
  24/7 customer service, fill provide deep customer
  insights Chatbots will be able to collect and
  analyze large amounts of ast and accurate
  answers, personalized recommendations, and
  proactive engagement.

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