Unveiling Fashion Analytics: This Instagram account reveals the true trendsetters.
This Instagram account is data-driven and uses statistical analysis and analytics to identify fashion trends objectively. This data-driven Instagram account eliminates subjective opinion and biases by crunching numbers. Users receive accurate and reliable information. The account gathers data from multiple sources, such as social media platforms, blogs about fashion, and shopping websites to keep up with the latest trends.
Instagram’s data-driven account presents fashion trends by analyzing user behavior. The account analyzes factors like engagement rates, growth in followers, and consumer preferences to determine which trends are popular. This account allows followers to make informed decisions about fashion, as the data-driven information is more reliable than opinions or subjective preferences. This data-driven Instagram profile stands out by providing trends that are accurate, objective and based on real-time data.
Apparently, runway looks and consumer demands don’t always coincide. Lapuerta’s analysis of the data shows that runway trends don’t always represent what consumers want. wearing. This game has levels as well. Chopova Lowena, for example, may become popular due to its commercial or runway demand. It’s often not until a small group of fashion-forward individuals, like editors or industry icons adopt a trend, that consumers become aware. You can also find out more about the following: It makes you want to purchase it. If you want to know what people are wearing, then nothing is more powerful than the desire to buy it. You can also find out more about the people behind this website. We see it being worn. Alexa, Regina George and Olsen are the original culprits.
Lapuerta’s audience looks to her not just for fashion advice, but also to learn about the ethics of fashion. “For instance, brands have talked a lot about reducing leather and fur, and a lot of customers get excited about that,” She says “But leather was still in an average of 16 per cent of the looks of spring 2023 collections.” Lapuerta also continues to monitor another data point, which is diversity in body size on the runways. “The data shows that there is resistance from many legacy houses to embrace diversity, while newer brands continue to challenge them,” Lapuerta says. According to the creator running tests to determine which brands are following up on sustainability The following are some examples of how to get started: diversity She and her audience can better understand what they want to buy by using promises. “Knowledge is power,” Lapuerta says. “And I’m putting knowledge out there so that we can make informed decisions.”
Along with highlighting trends, debunking theories, and shedding light on fashion ethics, Lapuerta has one more purpose behind Data But Make It Fashion – and this one is personal. “I used to think that in order to be a good engineer, I couldn’t be interested in fashion,” She says “Whether someone is interested in fashion or data analytics, I want to make both feel more approachable.” Lapuerta has helped thousands choose what to wear in just four short years. truly trending, and making two typically intimidating fields feel more friendly – one fashion chart at a time.