May 7, 2024
To dominate, or even compete, in the age of hyper-personalized video feeds where consumer decisions are swayed in milliseconds, advertisers face the monumental challenge of catering to each platform's unique requirements, appealing to diverse customer personas, and creating content that not only outshines their competitors but competes with the content from everyday social media users.
Your products and videos will compete for attention against a daily tsunami of entertaining and informative content, requiring you to stay constantly fresh and engaging. The demands for video production with scale and speed are more significant than ever.
Without the support of cutting-edge technologies, proven methodologies, and an expert team, the efficiency and effectiveness of your video campaigns will fall short. Embrace the future where content and commerce can be a real-time dynamic, where the online and offline merge.
We solve the problems of scaling creative that performs at the speed of TikTok.
After working closely with select strategic partners and TikTok, Shook identified several acute challenges in the marketplace that weren’t even being addressed at scale: Poor performing brand advertising, creative fatigue, and creative learning.
So, we set out to build a platform that would allow us to produce TikTok-native content at the speed and scale required to meet or exceed our client’s performance goals.
We believe that by bringing efficiency, rapid iteration, and data analysis to the creative process, we will help forge the biggest transformation of the 2020s in advertising.
We close the loop on performance and production.
One of our Creative Operations Specialists will be ready for a personalized demo.
In an era where reaching the right audience depends on both quality and quantity of creative, brands must find a new approach to content production that balances creativity with efficiency. But what if there was a way to transform this challenge into an advantage? What if brands could create a system that not only keeps up with demand but also gets better with each iteration?