Are you dealing with complex data types and scenarios in your mobile commerce app? Let’s explore three ways to optimize your mCommerce app data.
A customer data platform (CDP) plays a crucial role in the world of mobile commerce. In the eCommerce realm, the need for speed is well-documented. This is even more critical in the mobile domain, where speed and convenience significantly influence whether users continue to engage with a shopping app.
Mobile commerce apps often rely on various third-party services for analytics, messaging, shopping cart management, retargeting, payment processing, and more. These services simultaneously collect and send data to users’ devices, leading to higher data usage and battery drain, degrading the user experience.
CDPs like DataS offer a solution to this challenge. They enable apps to collect data once and then distribute it efficiently to multiple destinations without burdening end users. Unlike traditional SDK integrations, which handle data collection and distribution in a single step, CDPs collect data on the client side and abstract data distribution through server-to-server API integrations. This approach reduces the number of data streams, decreases app bloat, and enhances app stability.
However, improving speed and stability is only part of the story. A successful mobile commerce data platform must also enhance marketing effectiveness and support business growth. This is particularly challenging if the platform takes a generic approach to data collection and can’t handle complex data use cases.
Today’s sophisticated eCommerce apps require the ability to collect complex data types to create rich user experiences. Here are three essential strategies for optimizing your mCommerce app data:
1.E-commerce Events:
- Track user actions, such as product views, cart additions, and checkout processes.
- Analyze user behavior to understand mobile interactions and their role in the omnichannel customer journey.
- Employ specialized eCommerce functions to gain deeper insights, including the details of payment methods.
2. Offline Event Ingestion:
- Data generation doesn’t stop after a user makes an in-app purchase.
- Handle returns, affiliate reconciliations, and order adjustments by appending offline events to the data.
- Centralize this data within a data platform to distribute it efficiently to analytics, marketing, and affiliate partners.
- Sync external data generated outside the app with a data platform to improve operational efficiency.
3. User Attributes:
- User attributes describe individual users, covering personal preferences and tastes.
- Attribute arrays define multi-dimensional user preferences, such as favorite foods or brands.
- These arrays help build a comprehensive profile of users over time.
- They can also group implicit event data into a “category preferences” attribute for users.
To ensure your mCommerce app’s success, especially during crucial times of the year, make sure you are well-prepared. Avoid using web tools to tackle app challenges, and prioritize solutions that can handle both straightforward data management and complex data types and use cases.
Incorporating a powerful CDP like DataS from CleverGroup can transform your approach to data, enhance app performance, and drive meaningful growth in your mobile commerce business. If you’re a business using CDP DataS, feel free to reach out to us at info@datas.vn to learn more about unleashing the full potential of your data. Your future success in mobile commerce awaits!