Learning (coming soon)

Learning (coming soon)

Image generation

Function

Marketing

AI Skill

Generation

The problem

Producing high-quality visual content for marketing campaigns is expensive and time-consuming, limiting the ability to create materials. This constrains marketers’ efforts to tailor campaigns, reducing engagement and the return on advertising spend. Industries like fashion, which require specialized visuals, face even greater challenges in scaling content production.

Producing high-quality visual content for marketing campaigns is expensive and time-consuming, limiting the ability to create materials. This constrains marketers’ efforts to tailor campaigns, reducing engagement and the return on advertising spend. Industries like fashion, which require specialized visuals, face even greater challenges in scaling content production.

The solution

Generative AI for image creation significantly reduces the cost and effort of content production. Marketers can quickly generate tailored visuals for highly personalized campaigns, improving consumer engagement and maximizing advertising ROI. Tools tailored to specific industries further enhance capabilities, enabling scalable and on-brand content creation.

Generative AI for image creation significantly reduces the cost and effort of content production. Marketers can quickly generate tailored visuals for highly personalized campaigns, improving consumer engagement and maximizing advertising ROI. Tools tailored to specific industries further enhance capabilities, enabling scalable and on-brand content creation.

Benefits and benchmarks

Increased conversion driven by higher personalization and relevance

Increased growth driven by higher conversion

Lower unit costs for marketing campaigns (and higher ROAS)

Faster learning by A/B testing and optimizing

Leading vendors

Questions to consider before implementing

Do you have a library of on-brand reference images?

Do you have a style guide images?

Do you have defined personas/segments to design for?

Case studies