Shutterstock reported that after implementing Amazon Nova Canvas, it saw faster creative production, lower content creation costs, and higher advertiser satisfaction, particularly through more scalable, brand-accurate ad imagery.

Quick Scoop: Core Improvement

  • Shutterstock uses Amazon Nova Canvas to generate high-quality, on-brand ad images from text and existing product/brand assets, which speeds up campaign production and reduces manual design effort.
  • This leads to improvements in time-to-market for creatives, scalability of output, and cost efficiency for advertisers using Shutterstock’s AI-powered tools.

How Nova Canvas Helps Shutterstock

  • Nova Canvas enables advertisers to create new images and variations in seconds, instead of relying solely on traditional photoshoots or manual editing workflows.
  • By conditioning on brand assets (logos, product images, style), the generated imagery better matches brand guidelines, reducing back-and-forth revisions.

Business-Level Outcomes

  • Faster creative cycles mean advertisers can launch and iterate campaigns more quickly, improving responsiveness to trends and seasonality.
  • Scalable, automated image generation reduces production costs while increasing the volume of usable creatives, contributing to “faster business growth” and improved advertiser satisfaction noted for Nova Canvas use cases.

TL;DR: Shutterstock’s key improvement from Amazon Nova Canvas is more scalable, brand-accurate creative generation that cuts production time and costs while boosting advertiser satisfaction and campaign agility.

Information gathered from public forums or data available on the internet and portrayed here.