Generative Media in Marketing: Future of Visual Marketing

Shanmukha Karthik -

Generative media, powered by artificial intelligence, is revolutionizing the way marketing teams approach visual content creation. By leveraging AI to generate images, videos, and designs, marketers can create more engaging, personalized, and efficient campaigns. This blog post will explore some of the key use cases and applications of generative media in marketing, showcasing how it is shaping the future of visual communication.

User Interactive Campaigns

One of the most exciting applications of generative media is in creating interactive campaigns. By allowing users to generate their own personalized images, marketers can foster deeper engagement and create memorable experiences. For example, AI photobooths can be used to generate headshots, avatars, or even users' imagined selves as their favorite movie characters.

  • Personalized Experiences: Generative media enables marketers to create highly personalized experiences for each user. By allowing users to generate their own images, they feel more connected to the brand and are more likely to share their creations with friends and family.
  • Increased Engagement: Interactive campaigns driven by generative media have been shown to significantly increase user engagement and time spent on a website or app. This can lead to higher conversion rates and improved brand loyalty.

Clock wise: 1. AI-generated college yearbook: Users can transport back to their school/college days and create personalized yearbook photos. 2. Arcade-style portraits: Users can generate images of themselves in different styles, like arcade-style portraits with pixelated graphics. 3. Figurines: Users can generate images of themselves as figurines, with customizable poses and accessories. 4. Movie character transformations: Users can reimagine themselves as their favorite movie characters, posing in iconic scenes or wearing iconic costumes.

Stock Images

Generative media is also transforming the way marketers create and use stock images. Instead of relying on expensive subscriptions or limited stock image libraries, teams can now generate their own custom images tailored to their specific needs. This not only saves time and money but also allows for greater flexibility and creativity.

  • Custom Image Creation: Generative media tools can be used to create a wide variety of custom images, from product photos to social media graphics. This gives marketers greater control over their visual content and ensures that it is consistent with their brand identity.
Imagine you're marketing a new gourmet burger restaurant. You want to create a visually appealing image to promote their signature burger. Creating a Professional-Looking Burger Image.
  • Repurposing Existing Images: Generative media can also be used to reimagine existing marketing visuals. For example, by generating images of people from different ethnicities or changing the faces of individuals in existing images, marketers can create more inclusive and diverse campaigns.
Example, a fashion brand could use generative media to create a series of images featuring a model wearing the same outfit but in different poses, locations, or lighting conditions. This would allow the brand to create a diverse range of content while maintaining a cohesive visual identity.
Generative media offers a versatile toolset for transforming existing images into new, creative assets. One powerful application is generating similar images based on a reference image.

By generating their own stock images, marketers can save significant money on expensive subscriptions. This can free up budget for other marketing activities, such as social media advertising or influencer marketing.

Image Editing

Generative media tools can also be used to perform quick and efficient image editing tasks. These tools can save marketers significant time and effort, allowing them to focus on more strategic aspects of their campaigns.

One of the most useful features of AI image editing tools is inpainting. Inpainting allows marketers to seamlessly repair imperfections or remove unwanted elements from images. This can be particularly helpful when dealing with low-quality images or when there are objects or people in the background that distract from the main subject.

Inpainting: Repair imperfections or remove unwanted elements from images

For example, if a product photo has a blemish on the product, inpainting can be used to remove it without affecting the rest of the image. Similarly, if there is a person in the background of a landscape photo that is distracting, inpainting can be used to remove them entirely.

Another useful feature of AI image editing tools is the ability to expand image borders. This can be helpful when creating social media graphics or presentations where you need to add text or other elements to the image.

Expand photo border with outpainting.

By expanding the borders of an image, marketers can create more dynamic and visually appealing compositions. This can also help to ensure that the image is the correct size for the desired platform.

Upscaling is another powerful feature of AI image editing tools. Upscaling allows marketers to increase the resolution of an image, making it appear sharper and more detailed. This can be particularly helpful when working with low-resolution images or when creating large format prints.

  • Ideal for images that are slightly blurry or lack fine details. Enhances overall sharpness, making the image clearer.
  • When an image needs to be increased in size without losing quality. Upscales the image while maintaining or even enhancing its details.
Sharpen blurry image using ESRGAN
Image upscaled 4X times using ESRGAN

Ad campaigns for Social Media

One of the most time-consuming aspects of marketing is creating consistent and engaging social media content. Generative media can help automate this process by generating visually appealing backgrounds, writing compelling captions, and even creating short videos. This allows marketers to produce high-quality content at scale, while also ensuring that their social media presence remains fresh and relevant.

Imagine you're a marketing team at an ecommerce company promoting a new perfume line. Instead of manually designing graphics and writing captions, leverage generative media tools to streamline the process.

  • Background Generation: Create visually stunning backgrounds that complement your perfume's scent profile. For instance, generate a serene beach scene for a floral fragrance.
  • Caption Generation: Generate engaging social media captions that highlight the perfume's unique qualities and evoke emotions.
  • Hashtag Generation: Identify relevant hashtags to expand your reach and connect with potential customers.
  • Video Creation: Produce captivating short videos showcasing the perfume's bottle, packaging, or even a serene setting that aligns with its scent.
💡
Read more ' How We Created a Fully Automated Social Media Campaign with Generative AI' here
0:00
/0:09

Social Media Campaign Workflow with Segmind Pixelflow

As generative media continues to evolve, we can expect to see even more innovative and exciting applications in marketing. By embracing this technology, marketers can create more engaging, personalized, and effective campaigns that resonate with their target audiences.