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AI in Marketing.pptx
- 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.