MoEngage Case Studies Alodokter Boosts Engagement by 45% with MoEngage's AI-based Campaign Optimization
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Alodokter Boosts Engagement by 45% with MoEngage's AI-based Campaign Optimization

MoEngage
Analytics & Modeling - Machine Learning
Application Infrastructure & Middleware - Event-Driven Application
Healthcare & Hospitals
Telecommunications
Procurement
Automated Disease Diagnosis
Leakage & Flood Monitoring
Alodokter, a leading Indonesian healthcare super app, faced significant challenges in maintaining user engagement. The nature of healthcare apps means that users typically only engage with them when they are unwell. However, during the global pandemic, Alodokter recognized the importance of reaching out to users with timely and relevant information about precautionary and safety measures. The challenge was to educate users using doctor-approved and certified resources within the app, including healthcare articles on a wide variety of subjects and topics. The goals were to increase app engagement to reduce churn and boost retention, improve click-through rates (CTRs) and conversion rates of push campaigns to uplift engagement, and increase active users across the app.
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Alodokter is the leading Indonesian healthcare super app, founded in 2014 by Nathanael Faibis and Suci Arumsari. The app provides an end-to-end digital solution to patients, including telemedicine, doctor booking, medical content, and health insurance services. As the leading telemedicine platform in Indonesia, Alodokter has more than 28 million monthly active users and more than 40,000 certified doctors on the platform. The integrated mobile solution for patients and doctors facilitates over 600,000 monthly patient-doctor interactions. Alodokter prioritizes its customers' health and wellbeing, providing doctor-approved health-related information and reliable consultation with medical professionals.
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To improve the CTRs and conversion rates of the push campaigns, Alodokter used MoEngage's AI-enabled content optimization feature. This, combined with rigorous A/B testing and personalized recommendation, allowed Alodokter to run push campaigns with improved click-through and conversion rates, increase engagement, reduce churn, and re-engage inactive users. The brand segmented its user base based on location, preferences, attributes, conversion events, and funnel drop-offs. The user journey was divided according to app events and conversion, which were then earmarked for targeted campaigns. Alodokter executed Flows campaigns based on user journeys using content optimization. The conditions used for the flow campaigns varied based on the nature of the campaign i.e. onboarding, engagement, or re-engagement. Alodokter also added an e-pharmacy feature to its product offering and floated a survey using MoEngage push notification, which resulted in significant upliftments.
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The outcomes of the push campaigns were highly successful. Alodokter's marketing team was able to reduce churn and increase click-through rates (CTRs) and conversion rates (CVRs), as well as increase app engagement and re-engage inactive users. The team witnessed a 45% uplift in engagement from push campaigns using MoEngage’s Machine Learning Campaign Optimization (aka Sherpa) alongside an increase in CTRs, CVRs, churn reduction, and adoption of premium features. The campaigns conducted by Alodokter not only helped them reduce churn but also engage existing users, re-engage inactive users and improve the conversion rates.
6-16% CTR improvement for Flows campaigns to activate users who have signed up
5-10% CTR improvement for Flows campaigns to turn free-chat users into premium-chat users
30-40% of overall event performance and 10-12% increase in funnel conversion rate contributed by user onboarding campaigns
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