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Re-Engaging Mobile App Users Through Referral Programs: A Case Study of EazyDiner
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
- Robots - Wheeled Robots
Applicable Industries
- Cement
- Telecommunications
Use Cases
- Retail Store Automation
- Track & Trace of Assets
The Challenge
The challenge was to re-engage existing customers and accelerate app adoption and usage for EazyDiner, India's largest restaurant and table booking app. The company wanted to leverage the power of referrals to bring in valuable, engaged users with minimal financial investment. The success of the referral program hinged on the ability to seamlessly link one platform to another, allowing users to easily share their referral link via various platforms like social media, email, or text. Furthermore, the referred user needed to be directed to the most appropriate destination, either directly to the app if it was already installed on their device or to the relevant app store for download if not.
About The Customer
The customer in this case study is EazyDiner, India's largest restaurant and table booking app. The company was looking for a way to re-engage its existing customers and accelerate the adoption and usage of its app. EazyDiner wanted to leverage the power of referrals to bring in valuable, engaged users with minimal financial investment. The company aimed to create a seamless referral program that would allow its users to easily share their referral link via various platforms and direct the referred user to the most appropriate destination.
The Solution
EazyDiner leveraged Branch's mobile linking platform (MLP) to build a seamless referral program. Existing users could invite friends and family to join the EazyDiner app by sharing a trackable referral link via social media, email, or text message. This link redirected the invited user to the relevant app store for them to download the app and sign up. Once the invited user completed the sign-up process, both the referrer and the referee received a Rs.300 dining voucher redeemable via the app. Branch's MLP could recognize a user across both the web and app, retrieve the last clicked link, and carry the link data into the app when the user opened it for the first time and signed up. This allowed marketers to deliver a delightful user experience and accurately track each click, install, and conversion.
Operational Impact
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