Connexia
Connexia and Criteo become a dynamic duo driven by data and performance
Maison MRKT is a leading digital marketing agency specializing in growth marketing, customer acquisition, lead generation, and business intelligence. By working closely with their clients to identify core business objectives, they execute meaningful, results-driven campaign strategies.
One of their clients, Xirena, is an elevated yet free-spirited fashion brand. Xirena’s styles are designed in Los Angeles and draws inspiration from California’s laid-back spirit. Together, Maison MRKT and Xirena are constantly looking for ways to grow the brand and boost online sales.
To support this effort, Maison MRKT partnered with their trusted collaborator, Criteo, known for its first-mover approach to beta testing and innovative strategies to maximize client results.
Criteo’s Commerce Growth solution, GO!, delivers goal-driven campaigns with optimized settings to maximize results within target budgets. Using the best of Criteo’s AI capabilities, GO! enables fast and easy campaign activation to meet precise performance marketing objectives.
To help Xirena, a growth-focused brand, boost sales and ROAS, Maison MRKT conducted a one-month side-by-side test. They compared the performance and usability of GO! with a previous conversion-focused campaign, using equal budgets and emphasizing fast ramp-up times and results-driven outcomes.
+40% Sales / +23% ROAS / +19.9% Revenue
During the one-month test, GO! outperformed the current conversion strategy, generating 23% higher ROAS at comparable spend. With streamlined campaign setup and activation, the duration to launch was reduced to minutes.
“Building the GO! campaign was much faster and easier than I was used to. It was almost like I was done before I knew it. We always turn to the data when it comes to the results, and I was surprised to see that the performance was much better in the GO! test campaign,” shared Anne Waskover, Vice President at Maison MRKT.
Connexia and Criteo become a dynamic duo driven by data and performance
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