How Jiguang Operation Solves Problems

Full-Channel Acquisition and Reach

• Supports flexible path-based and trigger-based operation plans according to industry characteristics and marketing scenarios.
• Intelligently recommends and matches marketing materials based on individual user differences and segment differences.
• Automatically monitors goal achievement for operation plans and outputs real-time data reports to improve marketing strategies.

Customer Journey and Prediction

• Intelligently completes lifecycle segmentation for all users and effectively manages customer journeys.
• Supports precise target audience selection based on user behavior, attributes, tags, and other dimensions.
• Based on privacy-preserving computation and federated learning, combines Jiguang AI algorithm models to intelligently predict potential customer groups and intervene with operation actions in advance.

Intelligent Marketing

• Supports flexible path-based and trigger-based operation plans according to industry characteristics and marketing scenarios.
• Intelligently recommends and matches marketing materials based on individual user differences and segment differences.
• Enables flexible sending strategies that cover more users across all channels while avoiding repeated disturbance to the same user.

Marketing Effect Analysis

• Integrates enterprise business data across all scenarios to provide statistical analysis capabilities across all channels, roles, and scenarios.
• Automatically monitors delivery and loss of marketing messages, and monitors all-channel marketing messages effectively in real time.
• Automatically monitors goal achievement for operation plans and outputs real-time data reports to improve marketing strategies.

Intelligent AI Capabilities

• Based on Jiguang's massive data and strong AI algorithm capabilities, predicts in real time the time windows when users are highly willing to receive messages, effectively improving click-through rates.
• Uses user in-app behavior data plus Jiguang network-wide behavior data to find potential audiences with high recall and high accuracy through AI algorithms.
• Supports intelligent recommendations for items and people, helping enterprises build personalized item recommendation centers, improve user experience, and increase conversion metrics.