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Kredivo's Success with MoEngage: Influencing Up to 40% Conversions
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Retail
- Transportation
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Last Mile Delivery
- Retail Store Automation
The Challenge
Kredivo, a rapidly growing digital payment channel for ecommerce in Indonesia, was facing three main challenges. Firstly, they were struggling to engage new users who had downloaded the Kredivo app. Secondly, they were looking for ways to enable users to complete transactions within the app. Lastly, they were exploring how they could leverage their existing app users to boost overall brand and App store SEO. These challenges were critical to their growth and customer retention strategy, and they needed a comprehensive solution that could address all these issues effectively.
About The Customer
Kredivo is a digital payment platform that enables ecommerce buyers to apply and qualify for instant credit and pay back over time. Merchants using Kredivo benefit from providing Point of Sale financing using a 2-click checkout to all eligible buyers. In less than 3 years since its launch, Kredivo has become one of the fastest-growing and the stickiest digital payment channels for ecommerce in Indonesia. They were looking for ways to engage new users, enable users to complete transactions within the app, and leverage existing app users to boost overall brand and App store SEO.
The Solution
Kredivo decided to use MoEngage, a single marketing automation platform, to address their app user engagement challenges. MoEngage’s Push Amplification SDK was used to track notifications that were sent and acted as a fallback to GCM for delivering notifications to devices with failed delivery. This helped in improving the delivery of push notifications. To influence conversions, Kredivo sent custom offers via emails and push notifications to users who had approved instalments, encouraging them to purchase new products within the app. Unique flows were set up based on user attributes such as age, gender, income, etc., to customize the offers and messages sent to users at a segment level. Additionally, automated emails were sent to users who had completed in-app transactions, seeking Play Store and App Store ratings and feedback.
Operational Impact
Quantitative Benefit
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