📊 𝐉𝐮𝐥𝐲 𝐒𝐡𝐨𝐩𝐩𝐞𝐫 𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐓𝐫𝐞𝐧𝐝𝐬 𝐀𝐫𝐞 𝐈𝐧! Explore the latest U.S. retail traffic insights with Sensormatic Solutions’ July TrafficTrak’r—your go-to resource for in-store traffic patterns, shopper behavior, and trends by region and category. This month’s data shows a slight uptick in traffic compared to June, as back-to-school shopping gained momentum. Whether you're planning staffing, promotions, or inventory, these insights can help you stay one step ahead. 👉 Dive into the full July report now: https://ow.ly/J3co50WJ9jO #ShopperTrakAnalytics
Sensormatic Solutions releases July TrafficTrak'r report
More Relevant Posts
-
📊 “The #1 mistake I see in retail analytics? Focusing only on traffic.” Traffic is important — but without context like conversion, dwell, and exposure, you’re only seeing half the picture. Some key questions every retailer should ask: 👉 Why did traffic rise but sales didn’t? 👉 Where are shoppers stalling in the journey? 👉 How can we align staff more effectively? 📅 If these sound familiar, let’s talk: https://lnkd.in/euDRrT_D #RetailStrategy #InStoreAnalytics #RetailInnovation #ConversionRate
To view or add a comment, sign in
-
🇺🇸 UnitedStates (Business and Finance) Here's your SEO-optimized LinkedIn article on retail sales: **The Pulse of America's Economy: Unpacking Retail Sales** Retail sales are a critical barometer of the U.S. economy, reflecting consumer confidence and overall spending power. Understanding their dynamics is crucial for businesses, investors, and policymakers navigating market shifts. Today's retail landscape is rapidly evolving. While e-commerce continues its growth trajectory, physical stores are innovating with experiential shopping. Personalization, seamless omnichannel experiences, and sustainable practices are key drivers shaping consumer behavior and future #RetailTrends. Tracking these sales isn't just about numbers; it's about deep insights. Leveraging data analytics helps identify emerging patterns, predict consumer demand, and optimize strategies for sustained growth in a highly competitive market. Staying informed on retail sales trends is paramount for success. What significant shifts are you observing in consumer spending? Share your thoughts and connect! #RetailSales #USEconomy #BusinessTrends #ConsumerSpending #Finance #Ecommerce #UnitedStates #EconomicOutlook #Analytics Sources: - https://lnkd.in/eJahGJCr - https://lnkd.in/e2EKiAM5 - https://lnkd.in/eGAb_CrC - https://lnkd.in/e9G53iyA - https://lnkd.in/eXnJNCZU
To view or add a comment, sign in
-
🤔 𝘞𝘩𝘢𝘵 𝘪𝘧 𝘺𝘰𝘶𝘳 𝘳𝘦𝘵𝘢𝘪𝘭 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺 𝘥𝘪𝘥𝘯’𝘵 𝘧𝘢𝘪𝘭 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘰𝘧 𝘱𝘳𝘪𝘤𝘪𝘯𝘨 𝘰𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘣𝘶𝘵 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘺𝘰𝘶 𝘥𝘪𝘥𝘯’𝘵 𝘬𝘯𝘰𝘸 𝘸𝘩𝘦𝘳𝘦 𝘺𝘰𝘶𝘳 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘨𝘰? 𝗪𝗶𝘁𝗵 𝗩𝗶𝘀𝗶𝘁 𝗗𝗮𝘁𝗮, 𝗿𝗲𝘁𝗮𝗶𝗹𝗲𝗿𝘀 𝗰𝗮𝗻 𝗳𝗶𝗻𝗮𝗹𝗹𝘆 𝘀𝗲𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝗮𝘀𝘀𝘂𝗺𝗽𝘁𝗶𝗼𝗻𝘀. By connecting real-world movement patterns across 𝟮𝟬𝟬𝗠+ 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗴𝗹𝗼𝗯𝗮𝗹𝗹𝘆 to store networks, it becomes possible to understand foot traffic, dwell time and visit behaviours—revealing 🔄 how often customers come in ⏰ when they show up 🛍️ where else they shop If you’re facing these challenges too, 𝘴𝘱𝘦𝘢𝘬 𝘸𝘪𝘵𝘩 𝘰𝘶𝘳 𝘥𝘢𝘵𝘢 𝘦𝘹𝘱𝘦𝘳𝘵𝘴 and see how Visit Data can power up your strategy - https://shorturl.at/bjqIi
To view or add a comment, sign in
-
-
🚀 Unlock Smarter Retail Decisions with Walmart Store Location Data In today’s competitive retail landscape, #LocationIntelligence is everything. For brands and retailers, #ScrapingWalmartStoreLocationData isn’t just about mapping outlets—it’s about driving market growth, expansion strategies, and competitive insights. 🔑 Key Takeaways from this guide: ✨ Discover how to scrape Walmart store location data effectively ✨ Gain insights into store density, regional presence, and market gaps ✨ Understand how location data fuels smarter site selection & logistics ✨ Leverage scraping for retail market research and competitive benchmarking 📊 According to industry insights, businesses leveraging #LocationBasedData can improve market entry strategies by up to 30%—a clear advantage in today’s fast-paced retail ecosystem. 👉 Read the full article here: How to Scrape Walmart Store Location Data for Smarter Retail Decisions and Market Growth 💬 How is your business currently using location data to scale? Share your thoughts below ⬇️ 🔖 Hashtags : #RetailAnalytics #WebScraping #DataDrivenDecisions #LocationIntelligence #WalmartData #RetailStrategy #MarketResearch #RetailGrowth #DataForBusiness #CompetitiveIntelligence #RetailExpansion #EcommerceInsights #BusinessStrategy #DataScienceInRetail #RetailInnovation #BusinessGrowth #RetailTechnology #BigDataAnalytics #DataInsights #MarketIntelligence #BusinessDevelopment
To view or add a comment, sign in
-
-
Finding a competitive advantage in retail is a constant challenge, but analysing foot traffic data can help you stay one step ahead 🎯🔗 https://lnkd.in/gZS9eckv 👈 Online analytics have guided digital strategy for many years, but now physical retail is catching up - thanks in large part to foot traffic data. Foot traffic data is an effective lever for uncovering location intelligence, helping retailers make smarter decisions, optimise operations and unlock new growth opportunities in dynamic ways. Keep reading to find out more 🚀 #foottrafficdata #visitoranalysis #pedestrianactivity #pedestriancounts
To view or add a comment, sign in
-
💡 Retail Analytics: The Game-Changer for Modern Retail In retail, guessing is costly. 📉 Data-driven insights help you: ✅ Forecast demand & avoid stockouts ✅ Reduce waste & dead stock ✅ Personalize offers for every customer ✅ Boost loyalty & sales From inventory tracking to targeted campaigns, retail analytics turns numbers into profits. The future of retail is data-powered. 📊 Read the full blog at www.aimsys.us #RetailAnalytics #InventoryOptimization #PersonalizedMarketing #DataDrivenRetail #RetailGrowth #CustomerInsights #SalesGrowth #RetailTech #RetailInnovation
To view or add a comment, sign in
-
-
Last week, we talked about the cost of slow insights in retail—the millions lost in "too late" moments. This week, let's get into the heart of the problem: why are retail leaders struggling to get fast answers in the first place? We've all been there: you have a critical question about sales or inventory, and you need the answer now. But instead of an instant insight, you're faced with submitting a ticket, waiting for a dashboard to refresh, or chasing down the answers to your questions which are already outdated by the time it lands in your inbox. This is the reality for many retail/ecommerce teams who are trying to turn data into action, and it’s a frustrating cycle that can cost you market share. #retail #analytics #naturallanguage #ecommerce #conversations #answers
To view or add a comment, sign in
-
In today’s competitive retail landscape, first-party data is no longer a “nice-to-have”, it’s a strategic necessity. For retail property leaders, the ability to collect, interpret and act on customer data is what separates missed opportunities from maximised returns. Find out how leading retail properties turn foot traffic into data-driven strategy here: https://hubs.la/Q03D4-ZQ0 #Beonic #FirstPartyData #RetailProperty #RetailOperations
To view or add a comment, sign in
-
-
Reflecting on the immense amount of shopping data held by certain companies, consider the depth of insights they possess. From order frequency and brand preferences to location changes, this data paints a comprehensive picture of consumer behavior. What strategic advantages could be derived from such a wealth of information? #dataanalytics #consumerbehavior #shoppingdata #datainsights
To view or add a comment, sign in
-
🔔 Discover how “Improving Retail Strategy Through Video Analytics for Dwell Time” helps retail leaders and store teams turn customer behavior into measurable gains across experience and revenue! 📖 In our latest Insight, we explain how dwell time video analytics, including heat mapping, path tracking, demographic analysis and POS integration, gives retailers the real-time clarity they need to optimize layouts, staff and promotions. 🔗 Read more: https://lnkd.in/gM4Ca73R What you’ll learn: Tactic: How to use dwell time metrics plus heat maps and path tracking to prioritize high-value areas, reduce congestion and guide customers toward conversion zones. Case study: Retailers who redesign layouts based on dwell analytics see clear uplift in engagement and conversion by focusing attention on hotspot displays. Data point: “For each 1% increase in time spent in-store there is a 1.3% increase in sales.” 💬 Join the conversation: Which metric matters most for your store, dwell time, conversion rate or average basket size? Tell us below or tag a retail ops colleague! #GorillaInsights #GRRR #RetailAnalytics #RetailInnovation #DwellTime #CustomerExperience #InStoreAnalytics #StoreOptimization
To view or add a comment, sign in
-