Women's E-commerce Customer Insights Analysis

Millennial moms now make up the majority of new mothers, and are well-versed in online shopping. To earn their business and keep them coming back, you’ve got to streamline the process. They also encompass a huge customer segment, controlling 85% of household purchases in the U.S. What they’re looking for are brands and retailers that make their lives easier. These are women who are well-equipped, and well-adjusted to digital shopping. Buy-Online-Pickup-In-Store (BOPIS) and curbside pickup are perfect examples, both of which remove several steps in the buying experience. But it’s not just about convenience; it’s also about understanding the unique challenges they face. Think about how easily parents get distracted. One toddler out of place can instantly prompt mom to abandon her shopping cart altogether, and never return. Here’s another opportunity to win. Retailers can create retargeting campaigns, reminding that mom of the item she was interested in before she got distracted by… “Don’t eat that!” Offering personalized experiences and recommendations also makes it easier for moms to find what they need fast. McKinsey found these efforts can lead to a 10-30% increase in conversion rates. For moms, who prioritize efficiency, custom recs can simplify decision-making and expedite the purchasing process. Overall, your goal should be to remove as many roadblocks as possible. What else have you found successful? #retail #shopping #sales #TheFullView #NIQ

New data shows women spend around half an hour more online every day than men - and that gap doubles among Gen Z users. Women are averaging 4 hours 36 minutes online compared to 4 hours 3 minutes for men. But Gen Z women are spending 6 hours 36 minutes online versus 5 hours 28 minutes for men. That's over an hour difference daily. The platform breakdown: Women account for the majority of time spent on Pinterest (79%), Snapchat (66%), Instagram (64%), TikTok (62%), and Facebook (61%). Men dominate Quora (70%), X (63%), Reddit (61%), LinkedIn (60%), and YouTube (56%). This validates everything we’re building at 10PM Curfew. Women are spending more time on visual, social, and discovery platforms. Instagram, TikTok, Snapchat. These are commerce platforms disguised as social networks. Men are on LinkedIn and Reddit having discussions. Women are on platforms where they're discovering products, saving content, and making buying decisions. The time difference compounds over a year: 33 minutes a day is over 200 hours (OVER 8 FULL 24-HOUR DAYS) annually that women spend in digital environments where brands can reach them. For Gen Z women, that gap becomes 400+ hours yearly. That's nearly TEN full 40-hour work weeks of additional digital engagement. And damn...that's a lot of opportunity sitting right there. Women control 85% of household spending and spend the most time on platforms where purchase decisions happen. Brands optimizing for male-dominated platforms are missing the audience that spends more time online and controls more purchasing power. In looking back at this data...it's pretty compelling stuff for anyone trying to reach actual decision makers. Women are living more of their lives in digital spaces where commerce, content, and community intersect. For 10PM Curfew, this data validates our audience strategy. We're positioned at the center of where the most valuable consumer decisions are being made. And it feels pretty good to have the numbers back up what we've been building all along.

✨Unlocking Business Growth with Data: Urban Vogue’s 2024 Sales Analysis Brushing Up My Excel Skills: Analyzing Sales Data for Urban Vogue ✨ Recently, I revisited my Excel expertise by working on a project analyzing sales data for Urban Vogue—a clothing brand that sells through platforms like Amazon, Flipkart, and Myntra. Using a dataset from 2024, my goal was to create a comprehensive annual sales report and provide actionable insights to drive growth in 2025. 🚀 Here's how I approached it: 1️⃣ Data Cleaning: Ensured the data was accurate, complete, and ready for analysis. 2️⃣ Data Processing: Organized the dataset to reveal trends and key metrics. 3️⃣ Data Visualization: Created an interactive, visually engaging report to summarize insights. Key Insights and Recommendations: 📌 Top Customer Segment: Women aged 30-49 contributed significantly to sales. 📌 High-Performing Regions: Maharashtra, Karnataka, and Uttar Pradesh led the way in revenue. 📌 Sales Channels: Amazon, Flipkart, and Myntra accounted for the majority of orders. Growth Strategy for 2025: To maximize sales, I recommended targeting women aged 30-49 in top-performing states with tailored ads, offers, and coupons through Amazon, Flipkart, and Myntra. 🎯 This project highlighted the power of data-driven decision-making in e-commerce, and I’m excited to apply these insights to future opportunities! What are your go-to tools for analyzing sales data? I'd love to hear your thoughts! 💬 #Excel #DataVisualization #DataAnalysis #ExcelDashboard #SalesAnalytics #EcommerceInsights #DataDrivenDecisions #BusinessGrowth #ExcelTips #Analytics #DataCleaning #DataProcessing #ExcelSkills #DataInsights #EcommerceData #ExcelForBusiness