Industry Difficulties & Challenges
Fragmented Data of Retail Customers
Lack of User Portraits in Member Management
Difficulty in Reaching Users in Marketing Activities
Imprecise Ad Targeting
Refined User Grouping & Portrait Insights
Refined User Grouping & Portrait Insights
Data Center
- The fragmented data of platforms are aggregated by people, events and items via client data buried points and API reporting.
Intelligent Tag
- Dynamic and static user tag is generated automatically in real-time as per business rules, making clear customer hobbies, product preferences, conversion result, etc.
Aurora Risk Marketing Score
- Personalized marketing scenarios are summarized. Company business data are utilized through a scorecard mechanism and Aurora Mobile's Internet-wide data through an algorithm to generate risk marketing score for different scenarios and provide a basis for companies' marketing decision-making.
Intelligent Delivery of Goods Information to Consumers
Intelligent Delivery of Goods Information to Consumers
Delivery by Target Group Tag
- Message recipients are identified by user portrait, tag, and Aurora Risk Marketing Score, to align with recommended products and copywriting for intelligent, personalized push notifications.
Multi-Platform Messaging Integration
- Mainstream messaging channels can be integrated to deliver messages in varying operation scenarios via different channels, e.g. App Push + SMS for logistics notifications, App Push + WeChat Mini Program for promotional activities, and DingTalk + WeChat Work for private domain operation.
Strategy-based Push Notification
- Multiple channels mutually supplement for re-delivery. Notifications can be sent by broadcast, single point, group, alias, etc., and differentiated, optimal user reach strategies are offered to suit different messaging frequencies and timeliness requirements e.g. logistics notifications, promotional activities, and security warning.
Precise Goods Advertising
Precise Goods Advertising
Flexible Advertising
- Compared with normal tags, grouping by dimension is a more refined and flexible way to facilitate advertising tactic adjustment
Refined User Grouping
- With the early grouping model, target groups can be identified more effectively to reduce precision marketing costs and improve results
Cost Reduction
- The conversion rate can be increased, and advertising costs are lower than other methods with similar conversion results
Retail Solution Architecture
Partners
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