What If Media Group innovates in AdTech with Multi-cluster Kafka Tooling

What If Media Group stands at the forefront of AdTech innovation, where real-time data processing has become the cornerstone of success. As consumer expectations evolve, the ability to deliver hyper-personalized messages at the exact right moment has become essential for performance marketing.

Their platform ARIA builds universal user profiles by analyzing behavior across web, mobile, and voice, all in real-time. Acting as a “hivemind of models,” it predicts the best ad to show, on the right channel, at the perfect moment. This powers dynamic bidding driven by AI and streaming data - where milliseconds and conversion confidence determine success.

Real-time data processing for hyperpersonalized customer acquisition, at scale, is a great example of what Apache Kafka was built for. What If Media Group recognized this early, standardizing on Kafka as the foundation of data movement across their business and different services, allowing them to build cutting-edge applications.

Running multiple Kafka clusters is important for What If Media. They needed to host different applications on different clusters. This was to isolate workloads but also to give more autonomy to different teams, so they could run their own infrastructure.

Their growth has been remarkable: starting with a single Kafka cluster for processing leads for their insurance customers, they've scaled to 15 clusters accessed by more than 40 software, data, and AI engineers. Like many businesses, What If Media Group found themselves adopting different Kafka vendors and deployments over time, through choice and acquisitions - from open-source Kafka deployed on ECS and AWS MSK, to Strimzi on Kubernetes and Confluent.