security surveillance and visitor management solutions
across the globe.
6 January, 2016 | Nader Fathi
Cloud-based device detection and customer analytics software for operations and proximity marketing lends itself to an array of use cases and benefits for marketing, operations and security.
Retailers, shopping centers, restaurant chains, event venues and other businesses worldwide use Kiana data to identify and understand WiFi-enabled foot traffic and showrooming behavior, measure and improve operations, strengthen on-site security, and execute real-time targeted campaigns and offers that increase customer loyalty and sales.
Now let’s get real (world). Here are five examples of ways organizations across the world are using Kiana software today, realizing impressive return on their investment.
Luxury brand retailer (U.S.): Uses foot traffic and heatmaps to identify locations of customers and correlate the data with loyalty sign-ins from their website to see how well site campaigns increase in-store purchases. Heatmap and dwell time data also show the frequency of shopper visits to changing rooms to gauge advertising success rates by identifying customers who visited their website and then visited their stores. Studies have shown that shoppers who try on outfits in changing rooms are much more likely to make a purchase.
Luxury mall operator (U.S.): Uses heatmaps, dwell times, visitor footfall statistics, and social WiFi login in order to identify successful zones and gain visitor path analysis. The company shares foot traffic patterns with stores in their malls to help them identify the best areas for advertising and signage. The operator also uses data to adjust rents based on traffic and improve digital signage content to better target demographics of visitors using social WiFi and area dwell times.
Amusement park (Europe): Uses foot traffic, dwell times and heatmap data to improve crowd control and sales of merchandise and food by evening out traffic around stores across the park. The customer increased their loyalty and mail list by over 50% by the beginning of the season, enabling them to sell more season tickets and capture past loyal visitors to increase retention rates. Read the full case study.
Luxury clothing retailer (Australia): Uses heatmaps, dwell times and foot traffic to view in-store visit vs. passerby traffic and understand visitor conversion rates. The retailer adjusts staff based on visitor patterns and tracks advertising to store visits, boosting their loyalty program through targeted messages to encourage sign ups. Heatmaps identify where people visit in the store, such as displays with merchandise on sale or new product areas. They use A/B analysis to identify performance, metrics and best practices across stores nationwide, and to understand advertising results by correlating footfall differences across different time periods.
Jewelry store chain (in duty free areas of airports worldwide): Visitor traffic and dwell time information help the chain identify loyal customers from cross-store visits. For instance, if a customer purchases a watch at the NY JFK location and passes by the same store chain at the LAX location, she could be sent an ad with a discounted coupon to encourage her to shop at the LAX store. This enables loyalty program sign up and better customer service for frequent visitors/travelers visiting their airport locations.