3 Ways Generative AI Can Be Applied To Your Marketing

So I’ve shared a bit about my philosophy when using Generative AI like ChatGPT, Dall-E and Midjourney. Companies across different industries are harnessing its power to improve their business processes. Here are three ways that generative AI can take your marketing strategy to the next level :

Source: Rethink Ideas

  1. AI-Generated Visuals

With the help of marketing agency Rethink Ideas, Heinz launched what they described as “the first-ever ad campaign with visuals generated entirely by artificial intelligence.” Using the AI image generator DALL-E 2, the agency noticed that prompts related to ketchup frequently produced results that look just like bottles of Heinz. By encouraging consumers to share their own AI prompts for ketchup-based imagery, the campaign resulted in unique and creative visuals that captured the essence of the brand.

  1. Personalized Content

Generative AI can help you create personalized content for your audience. With the ability to analyze vast amounts of data, generative AI can create personalized ads, emails, and social media posts that cater to the interests and preferences of individual customers. This not only increases engagement but also improves customer satisfaction and loyalty.

One quick example is putting the following prompt :

  1. Product Recommendations

By using generative AI to analyze customer data, you can provide personalized product recommendations that cater to the needs and preferences of your audience. This not only increases the chances of a sale but also improves the overall customer experience.

Similar to the example above, you can provide customer data for ChatGPT to analyse. There will be new plugins that would be catered to these tasks, no doubt, but these are what you can do immediately now with ChatGPT.

So have you started playing with the technology yet?

For now, just by using AI-generated visuals, personalized content and product recommendations, one can create a marketing strategy that’s not only effective but also tailored to your customers’ needs and preferences.

But as a caveat, one should always apply some common sense and bring your own business experience in understanding what is generated. ChatGPT is known to be inaccurate and would ‘hallucinate’, i.e. make up things when it doesn’t have the data, and still sound extremely confident. So it is prudent to do a bit of follow up research to check what it comes up with.

Even a simple Google search would do wonders.

3 Steps to Getting Started with Generative AI

Generative AI is taking over the world

You would have heard about the buzz around generative AI and its potential to revolutionize the creative industry by now. I just saw a friend post a survey on LinkedIn asking if we are getting tired of hearing about it yet.

If you have spoken to me within the past 10 years, I have been shouting about AI for a long time now. I am concerned about the impact of the technology on us as professionals, as well as the economy at large, but I will share these on a separate track. As a player in this industry, you may be apprehensive about its limitations and possible dangers but if you’re not willing to play, you risk losing out in the long run.

So in this post, let me shall three steps I recently shared with my team at Brandcore to help them get started with generative AI, I hope it helps you too!

Step 1: Play

The first step is to try it out. There are plenty of platforms available to experiment with, such as ChatGPT or Microsoft Bing Chat for text generation, and Midjourney, Stable Diffusion, or even Bing Image Creator for image generation. Keep an open mind and see for yourself what the limitations are. You might be surprised by what you can achieve.

Step 2: Learn

The key to using generative AI effectively is prompt engineering. This involves writing a prompt that enables the platform to produce something useful for you. There may be some jargon to learn and unique idiosyncrasies to each platform to be aware of. For instance, Bing image doesn’t respond well to the word “fat,” while Midjourney has no issues with it.

Step 3: Mix

At this stage, we are not at the point where the technology can replace professionals. It’s essential to combine the capabilities of the platform with your experience and training to achieve the desired outcome. Visualize what you want, and direct the platform towards that outcome. Then use tools like Photoshop or Canva for design work and search engines for writing tasks to complete the final product.

In conclusion, generative AI is a powerful tool that can help you optimize your results. By following these three steps, you can get started on your journey to exploring the potential of generative AI. Remember to approach the technology with an open mind, be willing to learn, and mix it with your skills to achieve the best outcome.