

L'ORÉAL CASE STUDY
Digital twins of the skincare consumer 89% accuracy
89%
accuracy of the synthetic personas
+3,000
real participants in the U&A SkinDecode study, the base for the personas
4
brands benefited: L'Oréal Paris, CeraVe, La Roche-Posay, and Garnier
The Nexus tools behind this case
What powers L'Oréal's digital twins of the skincare consumer.
Digital Twin Personas
Synthetic personas modeled on real consumer data, built to stand in for the target audience in day-to-day research.
U&A-Based Persona
Personas grounded in a large-scale habits & attitudes study (U&A SkinDecode, 3,000+ participants) rather than generic profiles.
24/7 Persona Chat
Personas are available on demand, so the CMI team can ask questions whenever a decision comes up — not on a research-cycle schedule.
Asset & Claims Evaluation
Personas react to communication assets, claims, packs, and big ideas directly on the platform.
Qual/Quant Toggle
The same persona base can be queried qualitatively (open conversation) or quantitatively (structured scoring).
Conversion Trigger Testing
Testing which messages or moments actually move a persona toward a purchase decision.
"What if you could talk to the consumer in real time, like on WhatsApp, whenever you had a question for your next launch?"
Flávia, CMI Manager · L'Oréal Brazil

