Mamikos Case Study - MoEngage

Mamikos Boosts Room Rental Bookings by 20% Using MoEngage Analytics

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20%
Boost in room rental bookings
30%
Improvement in CTRs on conversion campaigns
About Mamikos case-study-brand-logo

Mamikos, Indonesia’s most popular room rental app, found back in 2015 to offer an easy, accurate yet trusted room rental services. The brand has been offering long-stay room rental services to over 2 million users.

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The Problem

Mamikos observed that around 90% of its users dropped-off their app or website after searching for a rental property without closing the bookings. Mamikos wanted to plug that leak and encourage more and more users to complete bookings using their app or website. Also, to understand the channel touchpoints (website and app) and if the users would switch from app to website and vice versa while performing any action.

In-product engagement: With the existing setup, Mamikos could not feed back user behavior on their app and website to their marketing communication. As a result, they were sending generic communication about the available property to its users. They wanted to switch to a more personalized approach to engage users.

The Problem

MoEngage helps us get a 360° view of our users. This helps us build a user-centric approach to our product experience and marketing communication.

Toni Indrawan
Product Manager, Mamikos
Analyze Tenant Behavior to Create User Journey Funnel

Through MoEngage’s Open Analytics feature, Mamikos was able to ensure that data from various analytics tools seamlessly flowed into MoEngage’s CRM. They were able to integrate data from Google Data Studio and Mamikos App Analytics into one MoEngage dashboard. Once data was unified using MoEngage, Mamikos classified the data between its touchpoints—Web and App. This classification helped them interpret user behavior on different channels and map them into user journeys using MoEngage’s Analytics Funnel.
A deep-dive into the funnel data using Behavioral Trends helped Mamikos identify two stages in the user journey that showed huge drop-offs: ‘add to favorite’ stage and ‘booking’ stage'.

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Offer Personalized Engagement Using Actionable Insights

Mamikos monitored funnel drop-offs and sent real-time automated messages to users based on their event action. For instance, if the user were in the ‘visit detail property’ stage, the expected activity for the user would be to either mark the property as ‘Favorite’ or contact the property owner. For users who did not perform either of these actions, a message was triggered prompting the user to return to the app or website and complete the action.

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Products Used
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Customer Insights & Analytics
Create omnichannel, personalized experiences using AI-powered insights and analytics.
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MoEngage Analytics
Create omnichannel, personalized experiences using AI-powered analytics.
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Omnichannel Flows
Create connected experiences at every stage of customer journey across channels using Omnichannel Flows.

Using MoEngage, Mamikos observed:

  • 9% increase in users moved from ‘Room View‘ to ‘Booking’ stages in the funnel
  • 30% improvement in CTRs on conversion campaigns
  • 20% boost in room rental bookings