{"id":5960,"date":"2025-06-20T10:32:58","date_gmt":"2025-06-20T10:32:58","guid":{"rendered":"https:\/\/www.footfallcam.com\/blog\/?p=5960"},"modified":"2025-11-06T09:45:50","modified_gmt":"2025-11-06T09:45:50","slug":"footfallcam-vs-cisco-meraki","status":"publish","type":"post","link":"https:\/\/www.footfallcam.com\/blog\/2025\/06\/footfallcam-vs-cisco-meraki\/","title":{"rendered":"FootfallCam Vs Cisco Meraki"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"535\" src=\"https:\/\/www.footfallcam.com\/blog\/wp-content\/uploads\/2025\/06\/Comparison-of-centroid-DVR-and-Cisco-Meraki-1024x535.png\" alt=\"\" class=\"wp-image-6004\" srcset=\"https:\/\/www.footfallcam.com\/blog\/wp-content\/uploads\/2025\/06\/Comparison-of-centroid-DVR-and-Cisco-Meraki-1024x535.png 1024w, https:\/\/www.footfallcam.com\/blog\/wp-content\/uploads\/2025\/06\/Comparison-of-centroid-DVR-and-Cisco-Meraki-300x157.png 300w, https:\/\/www.footfallcam.com\/blog\/wp-content\/uploads\/2025\/06\/Comparison-of-centroid-DVR-and-Cisco-Meraki-768x401.png 768w, https:\/\/www.footfallcam.com\/blog\/wp-content\/uploads\/2025\/06\/Comparison-of-centroid-DVR-and-Cisco-Meraki.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">In the world of retail analytics, WiFi-based people tracking has become a common feature among enterprise network providers. Cisco Meraki, a well-known name in network infrastructure, offers basic location analytics using WiFi signal detection. But how does it compare to FootfallCam, a company built from the ground up to provide accurate people counting and behaviour analytics?<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Let\u2019s break it down.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"article-h2 article-h3\"><span style=\"font-family: archivo, sans-serif; font-size: 28px; color: #323232;\">What is WiFi Analytics?<\/span><\/h3>\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Meraki\u2019s WiFi analytics work by detecting mobile devices that emit WiFi probe requests. These probe signals can be used to estimate how many people are nearby, how long they stay, and how often they return. On paper, it sounds great \u2014 the infrastructure is already in place, and there\u2019s no need for extra hardware.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">But in reality, this approach is deeply flawed for retail use.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>1. People \u2260 Devices<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">WiFi analytics track devices, not people. And with modern smartphones now using MAC randomisation and aggressive power-saving features, it becomes difficult \u2014 if not impossible \u2014 to distinguish between new and returning visitors, count groups or families, or accurately measure dwell time. A person carrying three devices might be counted as three separate visitors. Another person might not be counted at all.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>2. Estimations vs. Accuracy<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Meraki can only provide directional trends. Because it relies solely on signal detection, it can\u2019t validate footfall data against a physical count. FootfallCam, on the other hand, uses 3D vision sensors and AI to identify people \u2014 not signals. The result is consistently high counting accuracy (95\u201398%) that has been audited and validated in thousands of retail deployments.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>3. Retail Use Cases Demand More<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Meraki\u2019s dashboard can show how many devices were present over time \u2014 but it cannot tell you:<\/span><\/p>\n<ul>\n<li><span style=\"font-family: archivo, sans-serif; color: #666666;\">Where people moved in-store<\/span><\/li>\n<li><span style=\"font-family: archivo, sans-serif; color: #666666;\">How long they waited in a queue<\/span><\/li>\n<li><span style=\"font-family: archivo, sans-serif; color: #666666;\">What percentage of passersby entered your store<\/span><\/li>\n<li><span style=\"font-family: archivo, sans-serif; color: #666666;\">Whether your promotion increased foot traffic at the entrance<\/span><\/li>\n<li><span style=\"font-family: archivo, sans-serif; color: #666666;\">What demographics (age, gender) visited different zones<\/span><\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">FootfallCam does all of this \u2014 and more. Our analytics software was purpose-built for retail operations, not IT monitoring.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>4. Real-Time Operational Use<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Want to trigger alerts when a store is overcrowded or when a cashier queue exceeds five minutes? Meraki can\u2019t help you there. FootfallCam provides real-time data suitable for staff redeployment, cleaning alerts, energy automation, and live occupancy control.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>5. Privacy Compliance<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Meraki\u2019s analytics rely on device MAC addresses \u2014 which have serious implications under privacy laws like GDPR and CCPA. FootfallCam avoids this issue by focusing on anonymous head and body detection, ensuring compliance from the ground up.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>So Where Does Meraki Fit?<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Cisco Meraki remains an excellent choice for network infrastructure and enterprise-grade WiFi. But its analytics features are a side dish \u2014 not the main course. For IT teams, they offer a nice glimpse of traffic. But for retail operations and marketing, they simply aren\u2019t enough.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">That\u2019s where FootfallCam comes in.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">We don\u2019t replace Meraki \u2014 we complement it.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Our sensors can be deployed alongside your existing infrastructure, providing precise, business-actionable insights while leveraging your existing WiFi network where needed.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\"><strong>Conclusion: Build on Data You Can Trust<\/strong><\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">Retailers shouldn\u2019t settle for estimations. With store formats evolving, staff efficiency under scrutiny, and real estate costs rising, you need precision. FootfallCam delivers it \u2014 through calibrated, privacy-friendly people counting and in-depth behaviour analytics that WiFi alone can\u2019t provide.<\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<p><span style=\"font-family: archivo, sans-serif; color: #666666;\">If you\u2019re using Meraki analytics today and want to see how FootfallCam can bring your data to life, get in touch with us. We\u2019d be happy to show you the difference.<\/span><\/p>\n<p>&nbsp;<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>\u00a0<\/p>\n<p><span style=\"font-family: archivo, sans-serif; color: #666666; font-size: 16px;\"><a href=\"#footfallanalytics\" target=\"_blank\" rel=\"noopener\">#footfallanalytics<\/a> <a href=\"#footfallcam\" target=\"_blank\" rel=\"noopener\">#footfallcam<\/a> <a href=\"#peoplecounter\" target=\"_blank\" rel=\"noopener\">#peoplecounter<\/a> <a href=\"#peoplecounting\" target=\"_blank\" rel=\"noopener\">#peoplecounting<\/a><\/span><\/p>\n<p>\u00a0<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the world of retail analytics, WiFi-based people tracking has become a common feature among enterprise network providers. Cisco Meraki, a well-known name in network infrastructure, offers basic location analytics &#8230;<\/p>\n","protected":false},"author":1,"featured_media":6004,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[720,188,186],"tags":[560,28,16,15],"_links":{"self":[{"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/posts\/5960"}],"collection":[{"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/comments?post=5960"}],"version-history":[{"count":15,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/posts\/5960\/revisions"}],"predecessor-version":[{"id":7436,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/posts\/5960\/revisions\/7436"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/media\/6004"}],"wp:attachment":[{"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/media?parent=5960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/categories?post=5960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.footfallcam.com\/blog\/wp-json\/wp\/v2\/tags?post=5960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}