透過 Guest WiFi 分析解鎖強大洞察。
透過網站級別的 Guest WiFi 分析了解您的實體空間。利用人口統計、行為、回訪率等數據,並運用洞察力推動您的業務策略。



用於管理網絡健康狀況的訪客 WiFi 分析
- 識別問題區域並獲取有效疑難排解的洞察
- 深入查看資產、位置及特定硬件的總覽
- 監控測速數據與驗證率以優化體驗
- 呈現下載與行為數據以識別網絡濫用

提供具備行動力營銷洞察的訪客 WiFi 分析
- 監控用戶數量以制定表現、參與度和使用策略
- 呈現重複造訪趨勢以強化忠誠度與營銷活動
- 利用營銷訂閱洞察來追蹤訪客 WiFi 的投資報酬率
- 識別取消訂閱的流失客戶趨勢以減少流失

優化場域營運的訪客 WiFi 分析
- 了解場域在每天及每小時的繁忙時段,以提高資源效率
- 比較不同場域的表現,利用洞察驅動決策
- 突顯優化與改善客戶旅程的機會
- 選擇符合您業務需求的物超所值訪客 WiFi 方案
透過訪客 WiFi 分析創造營收
收集第一方數據、掌握具價值的洞察,並採取行動以增加營收。這正是許多企業已從其投資中獲得驚人回報的原因。

我們不斷尋找提升客戶體驗的新方法,而 Purple 協助我們實現了這一目標,並帶來了客戶洞察的額外效益。
90%
減少 IT 工程師親自前往現場的需求
4m
每年在餐廳內產生 WiFi 登入的造訪次數
2.5m
前兩年內在 CRM 中擷取的不重複 Guest WiFi 使用者
利用訪客 WiFi 強化策略決策
透過旨在提升收益的訪客 WiFi 解決方案為您的業務注入動力。使用我們的投資報酬率計算機查看潛在收益,或詳細比較我們的方案與定價。
WiFi analytics questions
What does Purple WiFi analytics measure?
Purple WiFi analytics measures footfall (visitor count), dwell time, repeat visit rate, peak occupancy by hour and day, and visitor-to-staff ratio. Data is captured passively from device probe signals on your existing access points - no extra hardware is required for most Cisco Meraki, HPE Aruba, Ruckus, Juniper Mist, Ubiquiti UniFi, Cambium, Extreme, or Fortinet deployments.
How does WiFi analytics support location tracking in a venue?
Purple maps zone-level dwell time and visitor flow across your floor plan. You can see which areas attract the most footfall, identify under-utilised spaces, and compare occupancy by day, week, or season - all from probe data your access points already broadcast, without requiring Bluetooth beacons or additional sensors.
Does Purple WiFi analytics comply with GDPR and UK data protection rules?
Yes. Purple anonymises device MAC addresses before storage, does not build persistent profiles of identifiable individuals, and processes data within the UK and EEA under a signed Data Processing Agreement. Venue operators receive aggregate analytics - footfall counts, average dwell time, zone occupancy - not personally identifiable tracking records.
How does WiFi analytics data integrate with my existing tools?
Purple connects to CRM platforms, POS systems, and marketing tools via webhooks, REST API, and native integrations. Common patterns include passing footfall data to Salesforce or HubSpot for marketing ROI attribution, correlating dwell time with POS revenue in retail, and feeding occupancy figures to building management dashboards.
How accurate is Purple footfall data compared to door counters?
WiFi probe-based footfall typically reaches 80-90% of door-counter accuracy in high-density consumer environments, and exceeds door counters for multi-zone dwell and repeat-visit analysis (metrics door counters cannot capture at all). Accuracy is highest in venues where visitors carry smartphones - retail, hospitality, stadiums, and healthcare waiting areas.
透過訪客 WiFi 數據分析強化實力
透過訪客 WiFi 在整個業務中實現數據驅動決策的最大化。立即諮詢專家以開始使用。













