Social Soup has announced a new AI-powered content tool designed to help creators and brands select the most effective content and drive better results.
Leveraging predictive AI and machine learning, the new content optimisation tool analyses millions of ads to identify which content will perform best based on paid objectives, giving each piece a tailored score. By enhancing content selection, Social Soup enables smarter, scaled campaigns that align with platform algorithms, like those across Meta and TikTok, and complement its micro-creator offerings.
Set to be revealed for the first time officially at Social Soup’s “AI in Action” webinar on Tuesday, 22 October, the new content tool is part of Social Soup’s plan to integrate cutting-edge technology into its influencer marketing strategy.
“We’re thrilled to bring this new AI content optimisation tool into our tech stack. It’s been a long time in the making as we refine our offering with what works best for both brands and creators,” said Social Soup founder and CEO Sharyn Smith. “By empowering brands and creators with data-driven insights, we’re optimising content selection and enhancing the effectiveness of campaigns. It works especially well for our many micro-infuencer campaigns that produce hundreds of content pieces, allowing us to choose and activate individual pieces at scale. It’s about ensuring that the right message reaches the right audience, and in a way that drives lasting impact”.
“It’s also a very natural evolution for us, building on the successful Shop & Scan technology we introduced last year, ” she said.
Smith said Social Soup would continue to lead the way in influencer marketing by integrating AI to increase the precision of its campaigns.
“Shop & Scan demonstrated the potential of AI in delivering targeted sampling and higher repeat purchases, and this new AI content tool takes that further by refining every step of the content amplification process,” she said.
