As cars move from the incremental market to the stock market, car companies want to remain competitive and need to break through the relationship between brands and users to maintain economic development and promote the digital transformation and upgrading of companies.
HUAWEI Analytics Service 6.2.0 version launches the automotive industry report. It builds an exclusive global data indicator system for the automotive industry from vehicle service, car purchase and sales analysis, and community and after-sales services. It provides embedded templates and code samples to help companies improve user experience and build brand advantages. .
Build a global data index system to enhance user value operations.
1. Data overview dashboard, real-time grasp of key operating indicators
Registration, new additions, active users, and the number of paying users are the most basic operational indicators. The addition of a data overview dashboard allows operators to clearly understand the overall operation situation. At the same time, the data overview dashboard visually presents two data: vehicle model distribution and mall revenue, which helps operators understand in real time the distribution status and revenue of vehicle models bound to car owners in the APP, and adjust product services and operating strategies for key models in a timely manner.
*Data overview
2. Data analysis of car purchase and maintenance, in-depth insight into user needs
In order to enhance their competitiveness, auto companies need not only sell their cars, but also focus on users, providing individual users with all aspects including car selection, car purchase, car use, car exchange, maintenance and so on. Station service. The automotive industry report of Huawei Analytics Services provides data analysis of car purchase and maintenance, helping car companies to fully understand the characteristics of consumers' car usage habits, car models and product preferences, and gain insights into user needs.
The vehicle service billboard shows the car owners' preference for car maintenance from the distribution of bound models, service usage analysis, maintenance reservations, and reported lost vehicles, helping companies optimize maintenance services and make targeted recommendations to better serve customers.
*Vehicle service indication
The car purchase sales analysis dashboard presents users' car purchase preferences from the dimensions of model sales, geographic sales, car purchase orders, financial plan order distribution, and financial product tendency distribution, which is convenient for car companies to adjust the product structure of the mall. Customers with different geographical and different model preferences make vehicle recommendations to achieve precision marketing.
*Analysis of car purchase and sales
3. Community and after-sales billboard to improve user stickiness
APP communityization and contentization are effective means to promote user retention. Through the community, users with the same needs or users on the same channel can be connected together to communicate and interact, thereby increasing user stickiness, increasing users' stay time in the APP, and even bringing greater added value to users.
The community and after-sales billboards focus on user participation and user feedback. From the number of people who receive coupons and the number of people who use coupons, we can understand the participation of discount activities, and tap price-sensitive users; from the number of community active people, the number of active people is distributed by sector, the post publishing section and sharing channels, The per capita number of contact customer service and other dimensions grasp the trends of the community, truly solve the pain points of users, and drive the upgrade of user value.
*Community and after-sales indication
Provide supporting embedding template, ready to use out of the box
At the same time, Huawei analysis service has launched the auto industry embedding template, and supports the screening and addition of events and parameters. The visual preview and code samples are updated in real time, and embedding can be completed on demand. Supports full link tracking from application integration to buried point development, buried point verification and management, greatly improving the efficiency and accuracy of buried point.
*Buried point development schematic
Paying attention to user needs and meeting user needs are the core of turning traffic into value. Combined with other analysis models of Huawei Analysis Services, the comprehensive application of data is used to achieve refined operations for users, to help APP and users to increase stickiness, and to empower car companies and dealers to increase their performance. For example, combining "paying user analysis" and "audience analysis" to understand high-frequency payment events or scenarios from multiple angles, and interact with users in appropriate scenarios to improve payment conversions.
For more details, please refer to:
Huawei Analytics official website
Obtain development guidance documents:
Android SDK integration document
Quick Application SDK Integration Document
and learn about the latest technical information of HMS Core for the first time~
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