Goal: Our goal for Flaminco was to shape the cosmetic product not only as a functional FMCG category, but as a part of everyday self-expression. The main approach of the brand was based on creating a flexible and emotional visual world that adapts to the dynamic lifestyle of a young audience. The open “M” shape used in the visual system symbolizes the free, changeable and adaptive character of Flaminco. This approach ensures that the brand is distinguished not only through color and aesthetics, but also through behavior and energy. Target: The main target audience of the brand is the young generation aged 16–25, who are sensitive to visual trends, value self-expression and seek aesthetic value in the products they use daily. Flaminco was formed with a more open and contemporary approach, aimed not only at a female audience, but also at everyone who cares about their appearance and style. The goal was to create a premium brand experience that is more interactive, flexible and able to build an emotional connection in the FMCG and retail market. Result: The result was a unified and flexible visual identity system for Flaminco that stood out in retail environments and could be easily expanded across digital platforms. The resulting visual language more strongly reflected the brand’s energy, flexibility and emotional connection with a young audience. The system was developed to serve as a sustainable and adaptive foundation not only for the current product line, but also for future campaigns, new product categories and communication directions.

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🧠 GROWTH TIP 04/30: DON’T JUST RECOMMEND. EXPLAIN WHY NOW. “Recommended for you” sounds personalized. But without context, it can still feel random. For Luma, a wellness and meditation app, we changed one small part of the experience: instead of only telling users what to start, we explain why this reset makes sense right now. 💬 “Picked for a mentally heavy day.” That one sentence turns a recommendation from a black box into a decision the user can understand and trust. After working with Spotify, I keep coming back to the same product lesson: recommendation systems become much stronger when the next action feels relevant, not simply personalized. 🔎 1. READ THE SIGNAL • Time of day • Recent behavior • Preferred session length • What the user actually completes The goal isn’t to collect more data. It’s to identify the few signals that can make the next action more useful. 🎯 2. MAKE ONE DECISION Instead of opening Luma with an endless meditation library, the app leads with one clear recommendation: YOUR RESET TONIGHT Clear the noise. Users can still explore other sessions, but the product makes the first decision easier. 🧠 3. EXPLAIN WHY Don’t stop at: “Recommended for you.” Add the reason: “Picked for a mentally heavy day.” The framework becomes: Signal → Recommendation → Reason → Action Not: Here’s something you might like. But: Here’s what may help right now, and why. 📈 RESULT For this product concept, explained personalization is designed to drive: +24% session starts +31% faster decision time +18% repeat sessions The bigger lesson: 🔥 Personalization without a reason can feel random. Don’t just recommend. Explain why now. 04/30 complete. 26 growth insights left. If these breakdowns are useful, follow the series. I’m turning 30 mobile product concepts into 30 practical growth lessons. And if this one gave you an idea for your own product, leave a like. It helps me see which product and growth problems are worth breaking down next. 👉 BOOK A MOBILE APP STRATEGY SESSION https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone I help mobile products improve activation, retention, trust, conversion, and personalization. #MobileAppDesign #ProductDesign #GrowthDesign #GrowthUX #UXDesign #UIDesign #WellnessApp #MeditationApp #MentalHealthApp #Personalization #RecommendationSystem #Retention #Activation #ProductStrategy #MobileUX #MobileAppUX #ConsumerApp #WellnessDesign #AsolDesign #Spotify

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