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Five Uses of AI in Next-Level Marketing


In terms of marketing, ChatGPT and artificial intelligence (AI) in general are currently the hottest topics. The subject constantly came up in presentations and informal conversations at a recent digital marketing conference I went to. The majority of conference goers I met with are already using or testing technologies like ChatGPT, and many are developing into power users who typically use it to dramatically boost content creation while putting forth less time and effort.

Although the majority of marketers are getting proficient in leveraging AI in the content production process, this is still only the tip of the iceberg in terms of what these tools can offer the sector. In light of this, here are five novel ways that marketers may leverage AI in their campaigns today. Even though not all of these use cases will apply to your particular marketing strategy, they should start to give you an understanding of the many different ways AI might influence your marketing efforts.

I advise utilising ChatGPT as the AI platform for each of the examples below. They might also be feasible with other AI systems or chatbots (such as Google’s Bard, for example). Testing various AI technologies to determine their strengths and limitations is the only way to learn more. It’s vital to keep in mind that ChatGPT’s database only extends through September 2021 as of this writing. Therefore, until the database is updated, it will not be able to reference data that is more recent than that date. Use cases should greatly expand after that.

1. Developing Content With A Specific Tone

It makes sense for marketers to start with using AI to assist in content creation. With the right prompting, the tool has shown itself to be extremely capable of producing content that is relatively of good quality, whether it is generating content for marketing emails, blog posts, essays, or other forms of content. However, from a content-generation perspective, the platform is capable of much more than many marketers stop doing at this point.

AI may write in a number of tones (casual, technical, serious, fun, amusing, all-business, etc.) and can even emulate the writing style of a specific content provider with good prompting. I put this to the test by acting as the author to be emulated. Prior to September 2021, I asked ChatGPT to look up articles and other content I had previously authored online, and I gave it a description of my writing style. It accurately described my writing style. Then I instructed it to produce some fresh content using this voice. It produced stuff that was uncannily similar to my style, and that was without a doubt successful.

2. Language Marketing

Multiple language marketing content creation is never easy. Beyond English, ChatGPT can translate text into dozens of other languages. In addition to numerous less popular languages (such as Bengali, Marathi, Estonian, Uzbek, and Icelandic, among many others), options include Spanish, Chinese, French, German, Italian, Arabic, and Japanese.

Given that generative AI technologies are not specifically designed for translation, it would probably be best to employ a more sophisticated language translation programm for more complex translations. However, in some circumstances, their user-friendly design and quick response time can make it a useful choice.

3. Simulations of marketing scenarios

In order to simulate diverse marketing scenarios, explain prospective circumstances, facilitate role-playing exercises, and produce solutions to specific difficulties, generative AI can be employed. You may direct AI to produce replies and activities based on all of the information you gave by carefully defining an aim, setting the context, defining roles, and then building a plot. It can be used to enable the AI tool provide suggestions for responses to different marketing or communications situations, then analyse those suggestions in light of your company’s requirements and particular circumstances.

The outcomes will depend on how well you supply input and suggestions along with refining stages depending on the responses that are originally created because this is obviously a more complicated process than merely asking the AI tool to compose content for a marketing email.

4. Sessions for Brainstorming

Sometimes it can be difficult to even come up with marketing concepts. Each of us has had times when creativity seemed to have departed the building with Elvis. These are excellent opportunities to begin brainstorming sessions. You might be accustomed to holding these kinds of ideation sessions with your team, but you might be shocked by how potent AI can be at coming up with fresh marketing and campaign concepts.

Consider the tool as a discussion opener for these meetings. Ask it to generate some creative marketing concepts based on the positioning of your brand and your target market. As was already mentioned, the idea is to be as specific as you can in your instructions when defining what you want from the AI tool. Your imagination is your biggest constraint from there. Taglines, product names, advertising campaigns, channel tests, elevator presentations, and a myriad of other concepts might work well in this situation. By asking it to provide suggestions or improve ideas that the team has generated, you may easily incorporate the tool into a live team brainstorming session. Use your imagination, and you’ll enjoy the results.

5. Making a marketing plan

Since it’s the most challenging project for a marketing team, I decided to keep it for last. You might be unsure of how exactly generative AI can assist you in creating a complete strategic plan after looking at a blank marketing plan. It can be good, as with any difficult AI query, to break it down into more manageable phases before utilising the AI tool in each one. Here are only a few crucial components of developing a marketing strategy that AI can support.

  • Establishing your marketing goals.
  • Determining the intended audience.
  • Making a content strategy.
  • Creating targeted campaigns.
  • Distributing budgets.
  • Establishing success measures and key performance indicators (KPIs).
  • Making a plan for implementation.
  • Analysis and improvement of results.

You can combine the data it produces by applying generative AI in each of these areas to essentially have the basis for a workable marketing strategy.

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