Mamikos Enhances Room Rental Bookings by 20% Leveraging MoEngage Analytics
Technology Category
- Cybersecurity & Privacy - Intrusion Detection
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Equipment & Machinery
Applicable Functions
- Sales & Marketing
Use Cases
- Behavior & Emotion Tracking
- Livestock Monitoring
Services
- System Integration
About The Customer
Mamikos is Indonesia’s most popular room rental app, founded in 2015. The brand provides and manages accommodation with detailed information from various cities of Indonesia. Mamikos lists over 2 million rooms across 140 cities in Indonesia and has over 1 million app users. The brand offers authentic listings and ensures that users find the right room for themselves. They also have a team called ‘Mamicheckers’, who conduct a thorough examination of the rooms before renting them out. The brand has been offering long-stay room rental services to over 2 million users.
The Challenge
Mamikos, a popular room rental app in Indonesia, faced two significant challenges. Firstly, the company noticed that approximately 90% of its users abandoned their app or website after searching for a rental property without finalizing the bookings. Mamikos aimed to address this issue and motivate more users to complete bookings using their platform. They also wanted to understand the user behavior across different channel touchpoints (website and app) and if the users would switch between these channels while performing any action. Secondly, Mamikos was unable to incorporate user behavior feedback from their app and website into their marketing communication. Consequently, they were sending generic communication about the available property to its users. They aimed to transition to a more personalized approach to engage users.
The Solution
To address these challenges, Mamikos sought a platform that could analyze user behavior at different stages, understand drop-offs across the user journey, and offer personalized communication based on user behavior for better engagement. They chose MoEngage platform as it provided analytics, engagement, and personalization in a single platform. Mamikos used MoEngage’s Open Analytics feature to integrate data from Google Data Studio and Mamikos App Analytics into one dashboard. This unified data was then classified between its touchpoints—Web and App, which helped them interpret user behavior on different channels and map them into user journeys using MoEngage’s Analytics Funnel. Mamikos also identified two stages in the user journey that showed significant drop-offs and used this data to revise its generic communication to a more relevant, personalized engagement strategy. They implemented an omnichannel marketing strategy and leveraged MoEngage’s Email Campaign, Push Notification for their app, Web Push for their website, and Connectors for social targeting.
Operational Impact
Quantitative Benefit
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