We work at the intersection of data, culture, and creativity, supporting luxury brands and individuals in navigating an increasingly complex consumer landscape — where exclusivity must coexist with personalised, high-touch experiences. While consumers expect relevance, precision, and personalisation, many luxury brands struggle to translate insight into meaningful brand experiences.
We design digital platforms and ecosystems that translate insight into experience, supporting personalisation while preserving the codes of luxury. We harness data to map the full consumer journey, enhance retention strategies, and uncover behavioural patterns that inform smarter brand engagement. Our work is designed for HNWI and UHNW audiences, where precision, discretion, and cultural intelligence matter more than scale.
By blending market intelligence with brand thinking, we create tailored solutions that strengthen presence, elevate engagement, and build lasting value across global markets. We extend this approach across social media and marketing, using data and AI to understand audiences, shape content strategy, and guide how brands communicate, perform, and evolve. By harnessing and translating unstructured data — from content performance, platform behaviour, and cultural signals — we uncover how products are perceived, how messaging resonates, and where opportunities for growth exist, ensuring insight informs both creative direction and measurable impact.
Melissa is Co- Founder at Nu Insights and an entrepreneur specializing in branding, marketing, and trend forecasting. She is passionate about consumer behavior and how automation and machine learning can enhance marketing strategies in the luxury sector. Additionally, she is deeply committed to cultural insights and intercultural communication, focusing on building meaningful connections with diverse audiences by respecting their cultures and immersing in unique experiences. Melissa holds an MBA from UCM and HEC Paris, a BA in Political Science and Economics from King's College London, and is currently pursuing an MSc in Data Analytics with a focus on fashion forecasting at the London College of Fashion.
I am eager to expand into the APAC and Western markets, driven by my curiosity about their diverse cultures. I would love the opportunity to immerse myself in these regions, gaining deeper insights while focusing on brand building and entrepreneurship.
Melissa is a dog lover with a passion for fashion, wellness, and nature.
Andrea Stenslie is Co-Founder at Nu Insights, where she leads social media strategy, branding, content, and data-driven initiatives for luxury brands. With over five years of experience, she specializes in crafting compelling brand narratives, executing high-impact social strategies, and driving audience growth through innovative content and insights. Andrea has worked in-house with leading luxury and beauty brands including FARFETCH, Radley, and Charlotte Tilbury, and on the agency side with a long-term contract at United Entertainment Group. She holds a BA in Media & Communications from the University of the Arts London and brings a creative edge informed by professional acting training and on-camera experience in film and commercial productions.
I’m excited to lean further into storytelling, taking on creative direction for luxury brands and bringing together social-first strategy with producer-led campaigns.
Having lived in 5 countries, Andrea is passionate about travel and new adventures. She also is a film lover and a wellness enthusiast.
In an AI-driven world, we guide brands from insight to expression—using applied intelligence, technology, and creative strategy to transform understanding into meaningful stories and long-term value.
Lead with Social-first video
Social search remains a priority
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As AI reshapes the luxury landscape, many brands are held back by outdated knowledge and fragmented implementation. When applied with intelligence and restraint, technology accelerates relevance, sharpens strategy, and unlocks long-term brand and commercial potential.
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