Marketers today are facing a dilemma. Consumers have an insatiable demand for fresh, engaging content, and businesses are struggling to produce enough creative assets to stay relevant—without overspending or overloading their teams. So, how can you create dynamic, impactful marketing assets at scale without blowing your budget or hiring a full team of content creators?
The answer lies in innovative solutions like user-generated content (UGC), generative AI, and dynamic creative optimization (DCO). Below, we’ll explore these strategies to help you streamline creative production while maintaining quality and relevance with your audience.
User-generated content (UGC), often known as influencer marketing, is a proven method to produce a high volume of content quickly. UGC involves paying users or influencers to create and share authentic content about your brand via social media updates, testimonials, blog posts, podcasts, and more.
Why use it?
Challenges to consider
Dynamic Creative Optimization (DCO) leverages AI and machine learning to render personalized ads in real time. DCO dynamically assembles an ad using a menu of creative elements (images, copy, videos, CTAs, etc.) to deliver targeted, personalized content.
Why use it?
Challenges to consider
Generative AI is revolutionizing marketing, offering tools to create ad copy, images, and videos at unprecedented speed and cost-efficiency. Marketers can use generative AI tools like ChatGPT or DALL·E to create a variety of creative assets tailored to specific audiences in minutes.
Why use it?
Challenges to consider
Generative AI is transforming the way marketers approach content creation, making it important to stay informed on how this technology is evolving. New vendors are constantly emerging, promising to revolutionize asset creation, media performance, and copywriting—but not all are created equal. It’s crucial to carefully evaluate these tools to ensure they align with your organization’s standards and deliver high-quality results.
Generative AI models that produce short-form videos, GIFs, and static imagery are rapidly becoming viable options for creating ad content, but many still struggle to render human forms. Until consumer sentiment surrounding AI-generated models and technologies improves, we advise against using these types of prompts for ad creative.
Another limitation for generative AI lies in potential intellectual property issues, as highlighted in the previous section of this article. To circumvent these challenges, brands can train their own models on existing content from their in-house creative team, ensuring outputs are on brand and plagiarism-free.
The landscape of content production is evolving quickly, and the methods we’ve outlined—UGC, generative AI, and DCO—are driven by the need for efficiency, creativity, and personalization.
If your team is struggling to meet the demands of today’s content-hungry audiences, implementing one (or all) of these strategies could transform your approach to marketing.
Interested in learning how to apply these solutions to your organization? Our team at OneMagnify helps businesses like yours streamline creative production and maintain a competitive edge.