Have You Ever Encountered These Challenges?
Dispersed Operation Channels
Low ROI of Products
Difficulties in Customer Journey Management
Difficulties in Marketing Activity Implementation
Waste of Existing Customers
Difficulties in User Asset Management
We can intelligently gain insights into user lifecycles, tailor individualized, automated and intelligent operation plans for users, and facilitate the fulfillment of marketing objectives by improving the user experience and directing customer journeys.
Customer Journey and Insight
We can intelligently identify user lifecycle stages, and enable visual rules to quickly locate audience and gain visual insights into their characteristics and preferences
AI-based Group Prediction
We can intelligently predict potential users and early get involved in the operation of them to prevent silent users, user loss and improve conversion rate
Formulating Operation Plan
It takes only four steps to set triggering and reaching plans for each user group, and scheduled plans, repeated plans and trigger-type plans can be set
The system can automatically execute various tasks as per operation plans, and the AI-based text can improve click rate while intelligent timing delivery can help improve delivery rate
All Channel Reach
Support app notification, SMS, 5G messaging, DingTalk, Alipay life account, WeChat mini program, official account, email, and other marketing scenarios
Effect Analysis & Intelligent Improvement
The marketing plan achievement analysis and the sending and clicking analysis by channel will automatically generate improvement suggestions for intelligent optimization of reach strategies
How does Intelligent Operation enable intelligent marketing?
- Address data silos and build a OneID system through a dynamic multi-level identification system
- Build panoramic user behavior sequence, user attribute system, user tag system, and user marketing model system based on OneID system
- Support mainstream user reach channels such as push notification, mini program, official account, SMS, email, WeChat Work, and DingTalk
- Intelligently divide the whole lifecycle of all users, and effectively manage customer journeys
- Support accurate locating of target groups in dimensions such as user behavior, attributes, tags
- Intelligently predict potential customer groups based on privacy computing, federated learning and Aurora Mobile's AI algorithm model to pre-intervene in operations
- Enable flexible development of path-type and trigger-type operation plans based on industry characteristics and marketing scenarios
- Intelligently recommend and match marketing materials based on individual and hierarchical differences of users
- Automatically monitor the fulfillment of operation objectives, and create data reports in real time to improve marketing tactics
- Integrate full-scenario enterprise business data to build analysis capabilities covering all channels, roles, and scenarios
- Apply to scenarios like business data analysis, user behavior analysis, increasing active user retention rate, product iteration verification, etc.
- Support multiple analysis models such as attribute analysis, funnel analysis, path analysis, and event analysis
- Predict the time of users in greater readiness for messages by using our massive data and strong AI algorithm capabilities, to effectively raise click rate
- Locate target groups with more accurate and efficient AI algorithm-based lost user recovery, with the aid of in-app user behavior data and Internet-wide data
- Support intelligent item and people recommendations to help companies build centers for targeted item recommendations, thus improving user experience while increasing conversion rate
Why Should You Choose Intelligent Operation?
Massive Internet-wide Data
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