👨‍💻 Gen AI in Marketing – 5 Use Cases

A report by HubSpot revealed the main benefits of Gen AI in marketing, as observed by marketing professionals:

These are significant benefits for the marketing sector, as evidenced by the rate of adoption of Gen AI in marketing efforts:

• 60% of enterprises have started incorporating generative AI into their marketing strategies,  

• 37% are actively deploying it across multiple projects. 

We look at the prominent use cases Gen AI is being adopted for in marketing, below. 

💼 AI in Business 

Turning Gen AI Magic into Business Impact

ChatGPT's journey has amazed us with generative AI's capabilities, sparking demand for real-world results from executives. An article from Boston Consulting Group attempts to answer the question of: how can we convert the magic of GenAI into real world business impact? 

• CEOs seek high-value opportunities, evaluating tradeoffs and responsible deployment of GenAI, anticipating organizational changes. 

• BCG's interviews with 2,000+ executives offer perspectives on GenAI's effectiveness, limitations, and practical deployment insights. 

• Three value plays: Deploy, Reshape, Invent, each demanding comprehensive integration and adherence to responsible AI practices. 

• Deploy GenAI in Everyday Tasks: Enhanced productivity through assistants, summarization tools, and diverse GenAI solutions. 

• Recommendations for implementation - immediate start, massive upskilling, cost-benefit evaluation, and necessary optimizations. 

• Reshape Critical Functions: Beyond productivity gains, reshaping processes in customer service, marketing, field services, and engineering. 

• Considerations - workforce impact, combining predictive AI and proprietary data, and focusing on simplicity and relevance. 

• Invent New Business Models: Reimagining customer experiences, service offerings, and business models for revenue gains. 

• Notable observations - engineering complexity, limited workforce implications, and leveraging first-party data for unique interactions. 

• Core Principles: Outcomes at Scale, Right Brain, Left Brain, The 10–20–70 Rule: guiding principles for successful GenAI deployment. 

• Accelerating the Journey: Initiating GenAI exploration with a secure foundation, balanced value plays, strategic alignment with business objectives, enterprise-wide learning, and future-proofing strategies. 

• Envisioning Future Advantage: Anticipating normalized adoption, evolving competitive advantages, and preparing for GenAI's transformative impact similar to other essential technologies. 

SEO and Marketing Automation 

Generative AI processes extensive data, uncovering consumer behavior trends, aiding businesses in pinpointing SEO-optimized keywords and phrases. Marketers leverage these AI tools for multiple SEO tasks: 

• Exploring content themes. 

• Conducting keyword exploration. 

• Crafting engaging content titles. 

• Segregating search intent. 

• Organizing content frameworks. 

Social Media Data Analysis 

The wealth of information in social media data is efficiently unearthed by AI tools, offering valuable insights for brands and consumers. 

• Competitor monitoring using powerful semantic search. 

• Digging into competitor content engagements, post frequency, hashtag usage and other KPAs 

• Influencer marketing using AI to monitor posts, interactions and audience demographics of potential influencers 

Content (Text) Generation 
Generative AI employing natural language processing algorithms and expansive language models automates content generation. These models, utilizing extensive datasets of established content samples, analyze the structure and nuances of compelling content styles. Beyond originating novel concepts, AI-generated text serves various content creation functions such as:   

• Crafting marketing content like emails, social media posts, or blogs. 

• Scripting narratives for videos and advertisements. 

• Formulating articulate, succinct, and captivating product descriptions. 

Customer Segmentation 

Generative AI can be used for enhanced targeting, primarily achieved through precise customer segmentation. AI-driven segmentation in marketing efficiently processes large amounts of customer data, enabling automation that benefits marketers to: 

• Identify new customer segments. 

• Enhance marketing and product strategies. 

• Optimize resource allocation, and improve ROI.

Multimedia Creation 

Generative AI, utilizing deep learning and generative adversarial networks (GANs), automates image creation, especially in marketing, encompassing: 

• Creating branding elements like icons and logos. 

• Creating visually striking video ads. 

• Producing accurate product images for use with social media and promotional materials. 

🌐 AI Weekly News Roundup 

How generative AI can boost consumer marketing
Generative AI is revolutionizing marketing, enabling hyperpersonalization, and streamlining processes. It empowers rapid campaign deployment, granular personalization, and efficient customer service. McKinsey estimates its potential to contribute trillions in productivity. Companies leveraging Gen AI can innovate, customize, and automate, setting the stage for a transformative marketing future. 

How CMOs Are Succeeding with Generative AI 
CMOs worldwide express optimism about Generative AI's (GenAI) potential to boost productivity and competitive edge. Already impacting core marketing tasks, 70% use or test GenAI, focusing on personalization, content creation, and market segmentation. CMOs foresee transformative capabilities, emphasizing the need for swift experimentation and responsible implementation to stay competitive. 

Irritation Over AI Washing Peaks for Marketers in 2023 
Marketers are increasingly frustrated by tech companies mislabeling automation as AI, causing confusion and wasting time. AI washing, expected to attract $1.5 trillion by 2033, risks damaging trust. Efforts to combat this include frameworks to discern genuine AI from basic automation. 

💻 Platform Highlight 

Ignition: An AI-powered go-to-market platform for product teams. Recently raised $8 million in funding. 

Rohirrim: An AI Text Generation platform. Recently raised $15 million in a Series A funding round. 

Mistral AI: A French OpenAI rival. Raised $415 million in a recent Series A funding round. 

💬 Social Highlight 

Data scientists on Reddit discuss the most “confidently incorrect” data science opinions they have heard: Post 

“10 strategic technology trends for the next decade:” A tweet  

🤖 Prompt of the week 

Be a data visualization expert. I have a dataset [describe dataset]. Help me create interactive visualizations using Plotly.

See you next week, 

Mukundan

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