Generative AI in Marketing
Marketing teams around the world have embraced generative AI and integrated the technology into their marketing funnels. As a result of these high levels of adoption, many marketing leaders report improved speed to market and enhanced productivity.
How are marketing teams using generative AI across their marketing tech stack? What benefits are they anticipating, and what barriers to entry are they facing, if any?
One minute insights:
- Content marketing is the leading marketing function utilizing generative AI for marketing.
- Nearly all marketers agree that generative AI will be a standard part of marketing team’s tech stacks within four years.
- Although most are excited, skills gaps and unforeseen security risks are top concerns about the technology.
- Most respondents agree it is essential for marketers to familiarize themselves with generative AI as it applies to marketing.
- Most respondents agree it is essential for marketers to familiarize themselves with generative AI as it applies to marketing.
Many marketers are already using generative AI in their marketing funnels, most commonly for content marketing, and most feel the tech will be ubiquitous on marketing teams within four years
Nearly half (48%) of marketing leaders report their organizations are already using generative AI in some part of their marketing funnel. An additional 43% say their organizations aren’t using it yet, but plan to. Just 6% say their organizations are not using it, and have no plans to start.
Among respondents who report their organizations are either already using generative AI in their marketing funnel, or plan to, the most commonly selected marketing functions currently using the technology are content marketing (76%), product marketing (43%) and customer experience (37%).
Most marketing leaders (94%) think generative AI will become a regular part of marketing team’s tech stacks within four years.
Question: How should marketing teams be utilizing generative AI today?
GenAI is an excellent tool for supplemental content creation. While some hesitate using it for primary content or permanent, like packaging design, short term use like social media posts plus web articles can greatly improve efficiency.
The starting point should be to understand the use cases & the legal implications of using these tools. Next is to plot these tools to specific experiments & measure results. The lowest hanging fruit seems to be copywriting & text to image generation. Then there are more evolved use cases of using it for product development & even creating artificial models.
It can help to get ideas, to quickly check copywritings, to challenge ideas and concepts.
Generative AI should be used for content generation and creating more customized content, email designs for internal and external audience, personalized copies for sales pitch, social outreach, executive communication, customized images, etc.
Marketers trust generative AI to improve the speed of marketing production, and most feel marketers should be familiarizing themselves with the technology
Over half of marketing leaders (56%) selected improved speed to market as a benefit they have seen, or expect to see, from generative AI deployment. Improved productivity (53%) and improved flexibility (41%) are the second and third most selected benefits respectively.
The top barriers to generative AI adoption, selected by respondents, are skills gaps (56%), unforeseen security threats (47%), and integrations with existing technology (43%).
The majority (81%) of marketing respondents agree or strongly agree that generative AI is a reliable solution for generating marketing copy and assets, which speeds up production.
Likewise, nearly all (94%) respondents feel it is somewhat or very important for marketers to familiarize themselves with generative AI and its applications in marketing.
Question: How should marketing teams be utilizing generative AI today?
It will be a must have solution for marketing teams.
AI will become mainstream for marketers once moral implications have been resolved and once the technology behind AI has improved to remove ambiguity and false construct.
Most of the mundane work will be outsourced to AI tools. There will be some unthinkable use cases as well, where an entire part could be experimented with… eg., influencer management.
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