Demographic Segmentation Analysis

Unleashing Insights: A Power BI Deep Dive into a Sample Retailer’s Customer Data Together with my talented collaborator, Hamed Soleimani we embarked on a data-driven journey to uncover hidden patterns and trends within a sample retailer’s customer base. Leveraging a snapshot of customer data encompassing demographics, purchasing behaviour, and membership details, we meticulously crafted a robust data model in Power BI. This foundation enabled us to construct a dynamic and interactive dashboard that empowers decision-makers to: • Visualize customer segments: Explore customer profiles based on geography, spending habits, and membership status. • Identify high-value customers: Uncover customers with the highest lifetime value and profit margins. • Optimize marketing efforts: Analyse customer behaviour to refine targeted campaigns and promotions. • Benchmark performance against KPIs: Track progress towards average spending goals for different customer segments. Our analysis revealed compelling insights into customer behaviour and performance. Key findings include: • Distinct customer segments: Customer spending and loyalty vary significantly by region and membership tier. • Profitability hotspots: Certain geographic areas and product categories drive disproportionate profit margins. • Opportunities for growth: Identifying untapped customer segments and underperforming product categories can inform strategic initiatives. Recommendations: 1. Targeted marketing and retention strategies: Implement tailored marketing campaigns based on customer segments, focusing on high-value customers and regions with untapped potential. Prioritize customer retention efforts in departments with low club membership rates. 2. Profitability optimization: Conduct a deep dive into departments with low profit margins to identify cost-saving opportunities or revenue enhancement strategies. Consider adjusting product pricing or assortment in these areas. While our analysis yielded valuable insights, it's essential to acknowledge the limitations imposed by the single-day dataset. Time series analysis, a powerful tool for identifying trends and forecasting, was unfortunately beyond our scope. Despite these constraints, we successfully transformed raw data into actionable intelligence, demonstrating the potential of data visualization to drive business growth. #PowerBI #dataanalytics #datavisualization #customerinsights #collaboration #businessintelligence

Day 4 - CRO series Strategy development ➡Audience Segmentation Most marketing campaigns fail because they try to reach everyone. Smart businesses know that not all customers are the same. Here’s how to segment your audience for better targeting: 1. Define Your Segmentation Criteria Break your audience into meaningful groups based on: ◾ Demographics → Age, gender, income, education ◾ Geographic Location → Country, city, region ◾ Behavioural Data → Purchase history, engagement levels ◾ Psychographics → Values, interests, lifestyle choices The more precise the segmentation, the more effective the targeting. 2. Collect Audience Data Use multiple sources to understand your customers: ◾ Surveys & Interviews → Direct feedback from customers ◾ Website Analytics → Google Analytics, heatmaps, session recordings ◾ CRM Systems → Customer history, interactions, and purchase patterns Data removes guesswork. 3. Analyze the Data & Identify Patterns Look for trends: ◾ Are certain groups more likely to convert? ◾ Who engages most with your brand? ◾ What common traits do your best customers share? These insights form the foundation of strong segmentation. 4. Create Customer Segments Group people based on similar characteristics. Examples: ◾ High-value customers → Frequent buyers with high purchase amounts ◾ Engaged followers → Customers who interact on social media ◾ New leads → First-time website visitors Each segment requires a different marketing approach. 5. Develop Targeted Strategies Personalization is key. ◾ Young professionals? Use social media ads & video content. ◾ Older customers? Email campaigns may work better. ◾ High spenders? Loyalty programs & VIP offers. Speak to each segment in their language, on their preferred platform. 6. Test, Measure, and Optimize Not all strategies work equally. ◾ A/B test different messages within segments ◾ Track conversion rates, engagement, and retention ◾ Refine based on what performs best Optimization is an ongoing process. Why Segmentation Matters ✔ More Relevant Marketing → Customers receive messages tailored to them ✔ Higher Engagement & Conversions → People respond to what feels personalized ✔ Optimized Marketing Spend → Invest in what works for each segment ✔ Better Customer Experience → Customers feel understood and valued Businesses that segment their audience don’t just market better— They sell smarter. Are you using segmentation in your marketing? Share your thoughts below. See you tomorrow! P.S: If you have any questions related to CRO and want to discuss your CRO growth or strategy, Book a consultation call (Absolutely free) with me (Link in bio)

The Commercial Real Estate beginner’s 5-step blueprint to decoding a neighborhood's potential (before your competitors catch on). Last week, I went over different demographics which make certain locations attractive investment spots. 5 steps to put it into practice: 1) Pull Demographic Reports Websites like CoStar, ESRI, and Census Reporter provide detailed demographic data for specific geographies. Input your target market and start exploring key metrics like: • Age distribution • Population growth • Employment by industry • Income and education levels 2) Study Trends Over Time Analyze changes over the past 5-10 years. Are population and incomes growing? Are new industries emerging? Positive trends signal future growth potential. 3) Compare To The National Average Is population growth faster than the US average? Are incomes higher? This helps gauge the relative strength of the location. 4) Talk To Local Experts Data is important, but so is on-the-ground knowledge. Contact local commercial brokers and property managers. Ask what they're seeing around growth, demand drivers, and challenges. Their insights can help color your analysis. 5) Consider Future Developments Anticipating future changes is huge. • Rezoning initiatives • Planned infrastructure projects • Major corporate expansions/relocations nearby These could significantly impact demand and values. Remember: no location is perfect, and every market has its risks. Getting these reps in early will develop your sense of smell for red flags and green lights. When you can decode a neighborhood's demographic signals, you're not just buying property. You're buying into opportunity. ____________________________ Hi, I’m Richard Stroupe, a 3x Entrepreneur, and VC Investor Follow for more on using cash-flowing Real Estate projects to support startup investments.

The Demographic Foundations of Good Urban Planning As an Urban Economist, one of the first questions I ask when reviewing an urban plan is: Where is your demographic analysis? Most often I find standard population projection based on simplified extrapolated growth rates with no real insight into who lives in the city, how they live, or what they need. This is a problem. No age profiles ❌ No household and family composition ❌ No income distribution ❌ Robust demographic analysis isn’t a “nice-to-have”, its fundamental for taking important decisions. It underpins good urban planning and strengthens the case for decisions that must stand up to scrutiny. Below are five key ways demographics shape cities (I’m sure you can think of some others) and why urban planners need to pay close attention to these. 1️⃣ Population Growth Births, deaths, and migration drive a city’s growth (or decline). Planners need to anticipate how these trends affect infrastructure, housing, public services, and long-term viability. Planning without understanding population trajectory is like designing in the dark. 2️⃣ Age Structure A city with a rising senior population needs vastly different services than one booming with young families. Schools, healthcare, transit and recreation all depend on knowing the city’s age profile and how it’s evolving. 3️⃣ Housing Needs & Preferences Demographic factors like household size, income level, and cultural background influence housing demand. Without this insight, planners risk misaligning housing supply with actual needs, from unit size to tenure type. 4️⃣ Transportation & Mobility Mobility patterns vary widely across demographic groups. Younger populations may prioritize public transit, cycling, and walkability, while older or family-oriented residents may rely more on cars. Planning effective, inclusive transportation networks requires understanding who’s moving through the city and how. 5️⃣ Diversity Cultural, linguistic, and socio-economic diversity shape how residents experience the city. Planning that fails to consider these dimensions often reinforces exclusion. Done right, demographic insight helps create public spaces and policies that are welcoming, inclusive, and equitable. Urban planning is ultimately about people (and not just places). This is why sound demographic analysis must be at the core of every strategy and not just a simple exercise relegated to a page in the appendix. Know your population. Plan for your population. —————— I post about Urban Economics and the hidden side of cities to equip Urban Planners to make more informed decisions. Follow me for more insights. #urbaneconomics #urbanplanning #demographics #citiesforpeople #sustainableurbandevelopment

Most people get customer profiling backwards—they start with loose facts and imagination then move to data. I can tell you after 12 years of building profiles, you should always start quantitative and then move toward creativity. Here’s your starting point: 📊 Begin with your POS system data. From here, you can create 4-8 distinct target segments using these methods: 👉 RFM Profiling: Segment based on recency, frequency, and monetary spend. 👉 Product Profiling: Segment customers by the first product they bought. 👉 Demographic Profiling: Segment using age, income, marital status data. 👉 Geographic Profiling: Segment by customer address or zip code. 👉 Time Cohorts: Segment by when the customer made their purchase. If you want a reliable approach across industries, combine demographic profiling with total spend. This consistently delivers actionable segments. 🎯 Getting this right already puts you ahead of 90% of mid-sized brands. 🚀 💡 Pro Tip: This is the second step in a five step process of profiling your customer base. If you want to dive deeper check the link in the comments ⬇️. #customerprofiling #segmentation #dataanalytics #retailstrategy #growthhacking