Drybar's Contextual Messaging and Search Powered by Radar's Geofencing and Geo APIs
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
- Sensors - Autonomous Driving Sensors
Use Cases
- Geofencing
- Real-Time Location System (RTLS)
About The Customer
Drybar is a brand that has disrupted the haircare industry since its inception in 2012. It has defined a new category with its blowout-only, brick-and-mortar business model. The brand has exceptional recognition, largely due to its highly loyal customer base. The brand's understanding of their clients' location allows them to anticipate client needs, deliver personalized experiences, and strengthen client relationships over time. Amidst the COVID-19 pandemic, the brand faced the challenge of driving appointment bookings in areas that were open and safe. Over 70% of their bookings come directly from their app, presenting an opportunity to improve and optimize the client app experience to secure more appointments and increase revenue.
The Challenge
Since its launch in 2012, the Drybar brand has revolutionized the haircare industry with its unique blowout-only, brick-and-mortar business model. The brand has gained exceptional recognition, largely due to its highly loyal customer base. By understanding the location of their clients, the brand can anticipate client needs, deliver personalized experiences, and strengthen client relationships over time. However, during the COVID-19 pandemic, driving appointment bookings in areas that were open and safe became a critical challenge. With over 70% of bookings already coming directly from the app, the Drybar team saw an opportunity to enhance and optimize the client app experience to secure more appointments and increase revenue.
The Solution
Radar's Geofencing capabilities, flexible Geo APIs, and a privacy-first approach met the needs of both the Drybar Marketing and Product teams. Radar’s extensible platform and turnkey integrations with Braze® and mParticle enabled the team to quickly roll out additional location-based features. By using Radar’s Distance Matrix API, clients can locate and book appointments at nearby Drybar locations. Radar’s user-friendly platform made it simple for the Drybar shops to geofence all locations. A geofence exit event is triggered in Radar as clients leave their appointment, enabling Drybar shops to prompt for feedback via a survey when the experience is top of mind. Drybar shops can leverage Radar to surface relevant offers based on a user’s current location, such as offering coupons in regions experiencing bad weather.
Operational Impact
Quantitative Benefit
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