Applications of Generative AI for Marketing

Author

Jonathan Moss
February 06, 2024

Applications of Generative AI for Marketing

Generative AI has the potential to enhance marketing productivity and creativity at every stage.

44% of marketing leaders anticipate adopting generative AI for content creation within two years.

40% expect to use it for designing assets like ads, websites, and product renderings.

The potential for generative AI to generate new content across marketing channels, from daily emails and slide decks to blogs and ad copy, has the marketing industry salivating. While that may become increasingly possible in the future, for now, the most productive use of the technology is to streamline the gathering of information given the countless hours currently spent looking at user data and usage data reports, transcripts of interviews with customers, and reading industry news.

With generative AI, marketers also say they expect to save time and be able to focus on more strategic work:

71% say generative AI will eliminate busy work.

71% say generative AI will allow them to focus on more strategic work.

In fact, they estimate generative AI will save them over five hours per week – the equivalent of over a month per year at work.

Source: Salesforce Study

Strategy

Building the right strategy is critical to success and AI can help. From ICP/persona development, competitive analysis, multi-channel marketing plan, partnerships, budget allocation and challenges/obstacles with simple prompts you can build out a complete strategy within a few hours.

Here are a list of example prompts to help.

Brand Positioning, Developing Campaigns and Creating Engaging Content

Ideation is crucial for positioning brands, developing campaigns, and creating engaging content. But it can be time-consuming and challenging to generate numerous creative directions through traditional methods.

With generative AI, marketers can rapidly develop positioning statements, campaign themes, taglines, and creative briefs to explore multiple options. The AI can also produce full brand guidelines complete with sample ads, imagery, and tailored content.

This exponentially expands the creative possibilities early in the process before making final selections.

Asset Design and Content Development

Creative teams can leverage generative design tools to quickly explore visual concepts. They provide countless on-brand images, logos, graphic layouts, and videos to spark innovative ad and content designs.

For content production, AI copywriting systems allow fast creation of website pages, blogs, social posts in different voices tailored to each audience.

Teams can have the AI generate 50+ headline, subhead, and body copy variations for A/B testing. It can also produce hundreds of unique meta descriptions and alt text options for SEO.

Personalization

Emails, social posts, landing pages, and more can be hyper-personalized by the AI without straining human resources. The AI can match the tone, structure, and messaging to each customer segment for superior engagement.

Ad buyers can create and test thousands of ad variations against different audiences, content formats, and placement types to optimize spend.

Marketing Execution and Analysis

For analysis, generative AI can provide actionable recommendations on how to improve campaigns. It can assess performance data and explain which segments, creatives, or strategies are working or need refinement which will allow you to take those inputs and have AI update your strategy for you and help guide you on what to do next.

It creates a flywheel that is always on and going. Think of it as a marketing and research/data assistant that can make your life so much easier.