Case Study: Turba Media achieves faster, scalable audience insights with IBM watsonx.ai

Transforming audience insights with generative AI

Turba Media, a data-powered digital technology agency, needed a way to scale deeper, faster audience analytics as data volumes grew across proprietary APIs and social platforms. The company wanted to add generative AI to its analytics stack, and it partnered with IBM using IBM watsonx.ai to better uncover trends, sentiment shifts, and audience behavior at scale.

IBM implemented watsonx.ai to help Turba Media build and tune AI-powered workflows with both low-code and pro-code tools, enabling real-time insights, natural-language querying, and faster campaign reporting. The results included improved ad targeting and campaign performance, with one example showing a 4.62% click-through rate and 5.56+ return on ad spend, along with 80% higher video completion.

Turba Media