Difficulties and challenges of retail industry

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Decentralized retail customer data

In Taobao, WeChat, App and other sales channels, customer identification is not unified, and data standards are incompatible. How to collect, integrate and analyze data from multiple channels and form reports of different dimensions?

Member management lacks user profiles

The message content of different media platforms is scattered, scattered and isolated, and different channels and platforms are independent from each other. On the one hand, it cannot meet the needs of the rapid development of the Internet, and on the other hand, it is difficult to track public opinion

Difficult to reach marketing activities

How to circle different customer groups, distinguish different message types such as notification and marketing, and send messages through different channels such as multi app promotion, applet notification, SMS and email? How to reduce the disturbance to users and improve the click rate of messages?

Inaccurate targeted advertising

Online advertising lacks data support and has poor transformation effect. How to conduct accurate advertising through big data?

Users' fine clustering and portrait insight

Users' fine clustering and portrait insight

  • Data Center

    • Integrate scattered data from various platforms of the enterprise into people, things and things through client data burial points, API reporting and other methods.
  • Smart tag

    • According to business rules, dynamic tags and static tags are generated for each user in real time and automatically, so that customers' interests, commodity preferences, marketing transformation and other issues become clear at a glance.
  • Marketing

    • Summarize the personalized business marketing scenarios of enterprises, use the business data of one side of the enterprise to output marketing scores for different business scenarios through the scorecard mechanism and the algorithm model combined with the data of the whole network of Aurora, and provide a basis for scientific marketing decisions of enterprises.

Product information reaches consumers intelligently

Product information reaches consumers intelligently

  • Select people tag to send

    • Seamless combination of user portraits, labels, and marketing points to circle the audience, match the recommended products and copybooks, and achieve intelligent push of thousands of people and thousands of faces.
  • Multi platform message integration

    • It supports the integration of multiple mainstream message channels in the market to provide message access for different operation scenarios, such as logistics notification using App push+short interest, event promotion using App push+applet, private domain operation using nail+enterprise micro, etc.
  • Strategic push message

    • Multi channels are complementary backup to each other, providing broadcast, single point, clustering, alias and other functions, and providing differentiated optimal access strategies for logistics messages, campaign promotion, security warnings and other messages with different frequencies and different real-time characteristics.

Retail solution architecture

Cooperative users

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