AI Newsletter

Meet your new frenemies (AWS, Microsoft and Claude)

AI Marketing Revolution: No-Code Apps, Video Wizardry, and Prompt Hacks You Can't Miss!

Rebekah May

Rebekah May

— 6 min read
Meet your new frenemies (AWS, Microsoft and Claude)

Dive into this week's cutting-edge marketing insights,

In this edition:

🔥 News and Trends in Marketing with AI

⭐️ Interesting Guides and Links

🕶️ Marketing meme of the week

🤖 Weekly prompt

⚙️ Time Out: Fun and Interesting Tools

💼 Remote AI Marketing Jobs

Carefully selected news and trends on how marketers can leverage AI.

👉 AWS Unveils AI-Driven App Studio for No-Code Development

Now you can build that cool app idea you've always had

Highlights:

  • AWS App Studio uses generative AI to create enterprise-level applications from natural language prompts
  • The service allows non-developers to build fully functional apps in minutes, rather than days (...but lets pretend it took us longer, okay?)
  • Users can describe desired app features, functionalities, and data sources to generate complete applications
👀
Key Marketing Takeaway:
This AI-powered tool unlocks new possibilities for creating custom marketing applications without heavy reliance on development resources, which we all know can be a struggle to get - amirite? Marketers can now quickly prototype and deploy apps for campaign management, customer data analysis, or content scheduling, cutting down the time-to-market for new initiatives.

The seamless integration of various data sources also offers a chance to build more cohesive, data-driven marketing strategies. By leveraging AWS App Studio, marketing departments can become more agile, innovative, and self-sufficient in their tech needs, paving the way for more personalized and effective marketing campaigns.

👉 Anthropic's Claude Gets a Prompt Playground Upgrade

Highlights:

  • Anthropic introduced new tools to help developers optimize prompts for Claude 3.5 Sonnet
  • The Evaluate tab in Anthropic Console allows users to create, test, and assess prompts quickly. I think I will be spending hours here.
  • Developers can compare different prompts and rate AI-generated responses on a five-point scale. Maybe we need a tinder for prompts.
👀
Key Marketing Takeaway:
This tool democratizes prompt engineering, letting marketing teams fine-tune AI outputs without heavy reliance on tech experts - making tech teams thrilled. By quickly testing and iterating prompts, marketers can craft more precise, brand-aligned AI-generated content for various channels.

This capability opens doors for hyper-personalized marketing at scale, making it easier to create tailored messaging for different audience segments. Plus, the ability to objectively assess and compare prompts could lead to data-driven best practices in AI-assisted marketing content creation.

This could be a golden opportunity to experiment with AI-driven copywriting, product descriptions and more. It has the potential to revolutionize your content production pipeline while keeping your brand voice consistent.

👉 Microsoft Ads Unveils AI Magic for Video and Display

Highlights:

  •  Microsoft Advertising launched AI-powered asset recommendations for video ads
  • The tool generates video ad recommendations from a landing page URL
  • Connected TV ad recommendations are coming soon to the platform
👀
This innovation lets you scale your creative efforts faster than ever, potentially revolutionizing how brands handle cross-platform campaigns. The coolest part? You can generate video assets from a simple URL, opening up all sorts of possibilities for cohesive messaging across display, video, and soon, Connected TV formats.

This means more efficient resource allocation and potentially quicker time-to-market for campaigns. But, it also brings up some interesting questions about creative differentiation. As AI-generated assets become more common, you’ll need to find new ways to stand out in a potentially more cookie-cutter ad landscape.

Smart marketers should start playing around with this tool to understand its strengths and limitations. Use it to whip up A/B test variations quickly or to generate initial concepts that you can then finesse. Also, keep an eye on how these AI-generated assets perform compared to your traditional ones. This data can inform future strategies and help you strike that perfect balance between efficiency and uniqueness in your campaigns. As AI continues to shake up the advertising world, being adaptable and blending AI efficiency with human creativity will be your secret weapon to success.

Enhance your photography with these AI techniques

Want to save time? Automate your workflows

Repurpose that podcast transcript into a blog post

Weekly Marketing Meme

🤖 Weekly Prompt:

What: Generate a list of potential FAQs for an article

Why: You can better optimize your blog post for potential user questions, use this area to link to related posts you have, and provide a better user experience by predicting what users might want to know from your post. Win Win!

Bonus! The prompt asks for follow-up questions to this topic, so you can turn these questions into more content/posts.

How: Use the prompt below to generate a list of potential FAQ ideas around your blog post.

Copy paste the prompt below to ChatGPT and replace bolded text with your needs.

If you use this, send me an example and results to be featured in the next newsletter!

For posts that have already been written:
Step 1: Upload or copy your post to ChatGPT or Perplexity AI
Step2: Add prompt:

I have uploaded a blog post about topic. My target audience for this post is (beginner, intermediate, advanced) (type: example "marketers"or "small business owners"). Analyze the post and provide me with a list of commonly asked questions readers might have about this topic that have not already been answered in the post. Include a list of potential followup questions that readers might have after reading this. Provide each list as a table. In the table provide the following output: Rate the relevance to the blog topic as high, low, or medium. Rate the complexity of the question based on if it suits the target audience's expertise level (beginner, intermediate, advanced). Rate the frequency of the question, based on how frequently the question is asked in forums, comment sections, or other content related to your industry. (frequent, infrequent, rare) Rate how likely the question is to lead to actionable advice the target reader can implement. (high, medium, low)

For posts that are in process:
Step 1: Open up ChatGPT and paste in the prompt

I am writing a blog post about topic. My target audience for this post is (beginner, intermediate, advanced) (type: example "marketers"or "small business owners").Provide me with a list of commonly asked questions readers might have about this topic. Include a list of potential followup questions that readers might have after reading this. Provide each list as a table. In the table provide the following output: Rate the relevance to the blog topic as high, low, or medium. Rate the complexity of the question based on if it suits the target audience's expertise level (beginner, intermediate, advanced). Rate the frequency of the question, based on how frequently the question is asked in forums, comment sections, or other content related to your industry. (frequent, infrequent, rare) Rate how likely the question is to lead to actionable advice the target reader can implement. (high, medium, low)

Your output should look something like this. In this example, I asked for questions around implementing schema markup for SEO:

🧰 Fun and Interesting AI Tools 🧰

Take time out to enjoy some of these interesting tools

In your downtime play AI Dungeon, an interactive storytelling game that uses artificial intelligence to generate dynamic narratives based on user input.

See if a neural network can guess your doodle in under 20 seconds

Even stranger things makes your photos even stranger.

💼 Remote AI Marketing Jobs

Marketing Copywriting AI trainer

Gen AI Capability leader

Director of AI

Gen AI Generalist (what a title)

Read more

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