This data-driven approach also allows them to make informed decisions about how to optimize their online art marketing efforts; this ties in with the increasing focus on customer experience in the space. To take an example, an artist might use data to provide a more personalized and enjoyable online art-buying journey, recommending particular pieces of art based on a website visitor’s previous purchases.
Generate creative content. Generators such as DALL-E can create images that can be incorporated into art practices. Meanwhile, software such as ChatGPT can be used to create captions for social media posts, website copy, and more, saving artists time when building an online presence.
Share an intimate look at their inspiration and material choices to generate interest in a specific piece.
Compile behind-the-scenes footage of preparation for an event to build anticipation.
Take a look at the narratives explored in a piece to create a deeper emotional connection with the audience.
Share their background, artistic philosophy, motivations, and personal story.
Explain how the artwork fits into a broader movement, historical context, or cultural significance.
As AI tools become responsible for the creation of increasing numbers of artworks, AI marketing becomes ever more important to building a presence online. Luckily, by utilizing automation tools, personalization ideas, and explainer videos, artists can ensure that their artwork continues to reach their target audiences.
Narrative-driven explainer videos will play a particularly critical role, providing a compelling and engaging medium for artists to connect with their audiences in an increasingly digital landscape.