Multi channel message push

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Decentralized operation positions

A large number of customers are divided into official websites, applets, offline stores, public accounts, APP and social platforms. It is difficult to integrate the business of various operational scenarios to achieve refined operational access

Low commodity ROI

How to recommend the right products to the right people at the right time for the products that have been developed with great effort and cost, and how to improve the sales of products through intelligent recommendation?

Customer journey management is difficult

Effectively identifying the life cycle of customers and providing them with personalized services and value is the key to improving transformation and retention. How to intelligently and automatically identify and manage customer journeys?

Difficulty in marketing activities

The development cycle of online operation activities is long, the operation manpower consumption is high, and the transformation effect monitoring is difficult. How to achieve flexible, powerful, and fast automated marketing to improve the operation efficiency?

Waste of stock customers

With the disappearance of traffic dividend, the customer acquisition cost of new customers continues to rise, but there is a lack of refined, automated and intelligent operation tools and strategies for massive stock users

Difficulty in user asset management

The current situation of enterprise digitalization includes self built business platform, third-party business platform and third-party social platform. How to build a unified user identity system, realize the linkage, dynamic update and data value production of multi-party data, and provide infrastructure support for marketing intelligence?

Value of aurora operation products

Intelligently insight into user life cycle, develop personalized, automated and intelligent operation plans for each user, and promote the achievement of marketing plan goals by improving user experience and guiding marketing journey

  • Customer Journey and Insight

    Intelligently identify customer life cycle stages, support visual rules to quickly delineate accurate crowds, and visually gain insight into crowd characteristics and preferences

  • AI forecast population

    Intelligently predict the potential crowd, which can intervene in the operation in advance to prevent silence, loss and transformation

  • Develop operation plan

    Only four steps are needed to set the trigger touch plan for each user group. Timing plan, cycle plan and trigger plan can be set

  • Intelligent execution

    The system automatically executes various tasks according to the operation plan, AI intelligent copy improves the click rate, and intelligent timing transmission improves the delivery rate

  • Global channel access

    APP notification, SMS, 5G message, nail, life account, applet, public account, email and other marketing scenarios

  • Effect analysis and intelligent improvement

    Marketing plan goal achievement analysis, channel sending and click analysis automatically generate improvement suggestions, and intelligently optimize the reach strategy

How does Aurora operation realize intelligent marketing?

    • Solve the problem of data island and build OneID system through dynamic multi-level identification system
    • Based on OneID system, the user panoramic behavior sequence, user attribute system, user tag system and user marketing subsystem are constructed
    • Support push, applet, public account, SMS, email, enterprise WeChat, nailing and other mainstream users' access channels
    Access to customers through all channels
    • Intelligently complete the whole life cycle division of all users, and effectively manage customer journeys
    • Support accurate delineation of target groups based on user behavior, attributes, labels and other dimensions
    • Based on privacy computing and federated learning, combined with the Aurora AI algorithm model, it can intelligently predict the potential customer base and intervene in the operation in advance
    Customer Journey and Forecast
    • Support flexible development of timing and trigger based operation plans according to industry characteristics and marketing scenarios
    • Intelligently recommend and match marketing materials according to individual and hierarchical differences of users
    • Formulate flexible sending strategies to achieve omni channel coverage of more users, and prevent repeated contact with the same user from causing harassment
    Intelligent marketing
    • Realize the statistical analysis capability of all channels, all roles and all scenarios by integrating the business data of the enterprise in all scenarios
    • Automatically monitor the delivery and loss of marketing messages, and effectively monitor the omni channel marketing messages in real time
    • Automatically monitor the achievement of the objectives of the operation plan, and output data reports in real time to improve marketing strategies
    Marketing effect analysis
    • Relying on the massive data of Aurora and the powerful AI algorithm capability, it can predict the high willing time window for users to receive messages in real time, effectively improving the click through rate
    • According to the user's behavior data in the application+the whole network behavior data of Aurora, the AI algorithm with high recall and high accuracy can be realized to find the potential crowd
    • Support intelligent recommendation of goods and people, help enterprises build a recommendation center for goods with thousands of people, improve user experience, and improve transformation indicators
    Intelligent AI capability

    Why choose Aurora operation?

    Network wide data advantages

    Aurora operation has massive network wide data, which can effectively play its data advantages through the privacy plan framework. It can be used in the fields of portraits, labels, marketing points, AI forecasting and so on in compliance, effectively serving the marketing transformation effect

    AI algorithm advantages

    On the basis of network wide data+in application accurate behavior data, the Aurora AI algorithm model has been applied in finance, FMCG, mutual fund and other industries for many years. The algorithm model has been continuously improved and optimized, which can quickly improve the quality of prediction for customers

    Access channel advantages

    Evoque push/SMS/email and message middle office are products highly recognized by Evoque in the market. Evoque operation supports 8 channel types and more than 20 service agreements in the field of user touch, providing high-quality assurance in delivery rate, touch analysis and loss analysis

    Privatization deployment advantages

    Aurora operation products support privatization deployment. On the premise of absolute security of enterprise data assets and compliance with national policies, the privacy computing framework also has the advantages of Aurora data across the network, serving the marketing transformation goal

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