Embracing AI in Marketing: Real-World Examples, Use-Cases & Trending Tools Marketing

Top 10 Social Media Marketing Examples in 2023-24

AI For Marketers: 10 Examples

When it comes to AI, marketing leaders can eliminate a lot of AI challenges with team buy-in and communication. Creative roles such as Copywriting and Graphic Design are relatively low-risk in terms of sensitive data as opposed to a CRM Manager who wants to use GenAI to analyze customer feedback and complaints. It’s hard to know what to try, prioritize, and invest your time into. This challenge is particularly overwhelming if you have business heads pushing your team for more. Similar to the challenge above, poor-quality content is a concern for conscientious marketers. No doubt, for conscientious marketers, producing inaccurate information is a valid concern and could cause issues for brand reputation and brand/consumer relations.

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It’s built on a massive database with eye-tracking data from over 120,000 people and more than 100 billion brain response data points. An automated, integrated process saves time and results in smarter, more informed decision-making. AI now does the heavy lifting by sifting through data, spotting trends, and bringing it all together in sleek presentations. ChatSpot, for example, integrates with our CRM to generate instant progress reports. What was once a sci-fi fantasy is now a staple in day-to-day business operations.

Brilliant Examples of AI in Marketing

Magnolia worked with Shopify Plus to create a storefront and an augmented reality app that allows users to view products in 3D and “place” them in their homes. AR allowed Magnolia to render its products with the highest possible photo realism. The results set Magnolia apart from the competition and strengthened its e-commerce arm, a key driver for company growth. However, the publisher insists it isn’t looking to replace human writers with robots.

  • By combining AI with human insights and intuition, businesses can create truly innovative and effective marketing campaigns.
  • The results set Magnolia apart from the competition and strengthened its e-commerce arm, a key driver for company growth.
  • Similarly, Adext AI uses machine learning algorithms to optimize ad campaigns across multiple platforms, resulting in a 40% increase in conversions and a 26% reduction in costs for its clients.
  • Leads are more likely to convert to sales with this kind of structured, thoughtful plan.

With it, you build and maintain relationships, and adapt content based on individual responses. In contrast, drip marketing takes a more personalized, gradual approach, providing relevant content at specific intervals. It builds a coherent and engaging narrative, which inspires are more likely to convert to sales with this kind of structured, thoughtful plan.

Prompt #17: Learn from artificial intelligence

In 2023, the world was awed by the speed and efficiency gains of generative AI, particularly how easily it knocked down writer’s block and how well it repackaged work into new formats. So many of us jumped into the pool and started experimenting with AI, finding its strengths, its weaknesses, and testing it out on different platforms. The last year in AI has been a dizzying whirl of feature releases, model updates, and imagination-bending use cases.

Meghan is a marketing executive with twenty years of experience at the intersection of digital marketing, brand development, creative leadership, and product marketing. She’s interested in tech, social impact and just about any action movie from the ’90s. The old product name was everywhere, across hundreds of website pages, nurturing flows, ad copy, video soundbites, blog posts, sales collateral, review sites, and help documentation.

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