Top 4 Innovative AI Marketing Strategies to Dominate in 2023

If you haven’t seen the Open AI dev day, then it’s probably good that I first give you a quick summary of what it’s about before you fall behind the curve.

So what was the “Dev” day all about? Well, ironically it’s not a day for developers. In essence, you yes you, can create your own GPT or simply a bot/assistant to carry out a simple task such as forwarding a “good morning message” to all your friends and family in one click to scraping information across your competitor's website without writing a single line of code. Sam pretty much-invited devs to be like hey I’m giving you a fair warning that you probably might lose your jobs but here’s $500 in Chat GPT credits as a sorry. 

That’s pretty much the jist of what went down. The reason I’m bringing up the dev day is to convey the importance of AI and how it is going to revolutionize our daily tasks to core business functions. Before that happens, thought I’d give you a rundown of the 4 best ways to currently use AI in marketing (will talk about other core business functions in later blogs here)

Why Marketing first?

Nearly all industries will see the most significant gains from the deployment of the technology in their marketing and sales functions. But high tech and banking will see even more impact via gen AI’s potential to accelerate software development. 

Here’s a quick chart from a McKinsey report where they talk about the economic potential of generative AI:

For example, the analysis from the report estimates that generative AI could contribute roughly $310 billion in additional value for the retail industry (including auto dealerships) by boosting performance in functions such as marketing and customer interactions. 

Now that we’ve established how important AI will be to marketing across sectors let’s jump on to what you’re here for.

Top 4 Innovative AI Marketing Strategies In 2023

• Content & Post Generation Using AI: The New Frontier in Social Media Marketing — Since the launch of OpenAI’s generative AI platform ChatGPT in November of 2022 there has been a flood of new use cases for AI. From pure copywriting with Chat GPT, copy.ai, jasper.ai, to image generation with DALL-E, and Midjourney, to even tailored social media post generation with Kendal AI. The biggest advantage you gain by using AI in this vertical is the amount of money and time you save. A standout in this arena is Kendal AI, a tool specifically designed for creating tailored social media posts. Kendal AI integrates your brand’s voice, colors, and logo, ensuring that each post aligns with your unique brand identity. You’d be mistaken if you think only SMEs or startups or making use of AI-generated content in their marketing campaigns. Heinz launched a UGC campaign with the help of DALL-E’s image generation. Heinz fans got involved by sharing their own suggestions for ketchup image prompts, with the best ones being turned into social posts and print ads, launching their first-ever ad campaign with visuals generated entirely by artificial intelligence

Heinz Campaign

• Segmentation of Audiences Through AI: Precision Targeting in Marketing — Artificial Intelligence is revolutionizing the way companies segment their audience. By analyzing traits, interests, and behaviors, AI enables more precise targeting. This leads to marketing campaigns that are not only more effective but also drive higher customer engagement and better returns on investment.

• AI-Driven Customer Service Chatbots: Enhancing Interaction and Satisfaction — The marketing world is increasingly embracing AI-powered chatbots for enhancing certain facets of customer service. These advanced bots, once properly programmed, can engage with customers at any stage of their journey, swiftly addressing and resolving queries, thereby boosting overall customer satisfaction.

• SEO Optimization Using AI: Elevating Marketing Strategy Integrating — AI for search engine optimization is a game changer for marketers. It not only helps in elevating page rankings but also aids in devising robust strategies. AI tools, such as SurferSEO, assist in crafting and refining content to align with evolving SEO benchmarks, ensuring content is primed for search engine success.

Challenges

• Training AI solutions: Just like humans, AI requires significant training to learn a new task. For example, if you want an AI solution that will talk to your customers in an engaging way, you’ll need to invest the time and resources necessary to teach it. To build an application like this, you will need a large amount of data about customers’ preferences and, potentially, data scientists who specialize in this kind of training.

• Ensuring the quality and accuracy of data: AI solutions are only as strong as the quality of the data they are trained on. This is true no matter how technically advanced a tool is — if the data it’s been trained on isn’t accurate and representative, the answers and decisions it generates will be low quality and ineffective.

• Complying with privacy laws: Because AI is trained on personal customer information, the laws surrounding what can be used must be strictly followed. Companies who deploy AI for marketing purposes need to be able to adhere to consumer data regulations or they risk incurring heavy fines and reputational damage. According to HFS Research, reputational damage from errant AI deployments appearing in the media has increased the pressure in both Europe and North America for greater regulation.

To Conclude

In conclusion, leveraging AI in marketing, particularly for social media optimization, offers immense potential for innovation and efficiency. These four strategies provide a glimpse into the transformative power of AI in the marketing domain. If you’re keen to explore more about how AI can revolutionize your marketing strategies or want to learn more about tools like Kendal AI, don’t hesitate to reach out to our team here. We’re here to help you navigate the exciting world of AI in marketing.