Good Moose has taken a pivotal leap forward with the appointment of Martin Carniglia as Head of Analytics & Data Science. This move signals the agency’s resolution to embed more sophisticated data-centric approaches into its growth strategies. Carniglia brings a wealth of experience to the table, having significantly impacted data-driven marketing at both R/GA and Havas Group. His primary focus will be to oversee and enhance the analytics framework — refining data automation and honing measurement techniques to ensure that campaign performance can be rigorously assessed and optimized.
For Good Moose’s diverse client base, which includes major players like Capital One and Mercado Libre, Carniglia’s expertise promises a new era of insights and precision. By advancing predictive modeling capabilities, he aims to not only interpret current data trends but also forecast future market movements, providing clients with a competitive edge. This forward-thinking approach is expected to bolster client performance, driving sustainable growth through informed decisions and actions.
Strategic Growth Through Data
Good Moose has taken its operations up a notch by bringing on board Martin Carniglia as Head of Analytics & Data Science, demonstrating a commitment to data-driven growth. Carniglia’s previous successes at R/GA and Havas Group will now enrich Good Moose’s data initiatives. One of his key roles includes refining the agency’s analytics system, improving data automation, and tightening measurement methods to optimize campaign outcomes.
This strategic hire denotes a new chapter of advanced insights for clients like Capital One and Mercado Libre. Carniglia will work on enhancing predictive models to not just understand but also anticipate market shifts, offering a strategic advantage. His integration into the team is poised to amplify client success, fostering sustained progress through data-led strategy. With Carniglia’s expertise, Good Moose stands to transform how campaign performance is evaluated, benefiting from a more precise and future-facing analytical approach.
