The Genus AI platform helps companies understand the drivers behind most desirable historic customer behaviors and, as a result, allows them to optimize their customer acquisition by targeting more loyal and higher-time-value customersLearn More
Your customers have individual preferences for your content - Genus AI helps you understand those preferences which in turn results in increased CTR and drives increased ROAS.Learn More
Genus AI’s proprietary Archetypes are your company’s window into the future: use them to predict your customer preferences, lifetime value and churn and leverage these insights to enhance your customer experienceLearn More
Company Profile: Luxury & Apparel
A luxury multi-brand fashion house operating physical boutiques in Miami, Bal Harbour, Houston, Costa Mesa, New York City, and Los Angeles, and Sawgrass Mills as well as an online store. The retailer is famous for its exclusive collaborations with many luxury brands.
Engaging thousands of customers every day, the client’s marketing team was looking for an emotionally intelligent way to build prospecting campaigns on Paid Social channels. The lookalike audiences of past purchases were not matched with the right ad content and left room for optimization
The client used the Genus AI Platform to identify the Communication Archetypes of their highest AOV customers. New customer segments defined by the Genus AI models and Archetypes were used for custom audience creation and content matching on paid social channels such as Facebook and Instagram.
After enriching the client’s existing customer data and running Artificial Intelligence algorithms to analyze it, it became evident that the client’s most desirable customers had a dominant Archetype which required specific communication to achieve efficient engagement.
The client was able to create better lookalike audiences as well as match them with appropriate content for more efficient prospecting achieving a 82% decrease in CPA costs, 124% increase in ROAS and overall 132% improvement on revenue.
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