User Insight is the consumer analytics module of Quick Audience. It gives you a unified view of your users across channels, machine learning (ML)-driven segmentation models, and direct reach integrations — so you can turn raw customer data into targeted, measurable campaigns.
Features
|
Feature |
What you can do |
|
User tag management |
Create preference, loyalty, and purchasing-power tags from user behavior data, and user stage tags from comprehensive data. Manage user attributes, imported and custom tags, and track overall tag coverage and per-value population distribution. |
|
User 360 |
View a unified user profile that consolidates all attributes and behavior in one place, so your team can quickly locate leads and follow up after sales. |
|
Marketing model management |
Generate AIPL models from user behavior data and RFM models from order details and order summary data. |
|
User analysis |
Analyze users through tag-based perspective analysis, AIPL user and flow analysis, and RFM analysis. Save any discovered user segment directly as an audience for downstream use. |
|
Audience segmentation |
Filter users by tags, AIPL model stage, RFM tier, behavior events, or statistical table metrics to build precise target audiences. Use these audiences in User Marketing and Automated Marketing workflows. |
|
Audience analysis and push |
Run further segmentation analysis on an audience and push the resulting population to Data Bank, Damengpan, Alibaba Cloud Kafka, or open-source Kafka for omnichannel consumer reach. |
|
Ad hoc analysis |
Connected to Quick BI Data Visualization Analysis Platform Professional Version. Run Ad Hoc Analysis on any audience and compare the metrics of different groups side by side in the same report. |
|
Analysis dashboard |
Embed Quick BI Data Visualization Analysis Platform Professional Version reports directly into Quick Audience to visualize and monitor marketing data without leaving the platform. |
Process
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An administrator imports user data. Quick Audience supports two ingestion methods:
For batch imports from computing sources, see Data Import Documentation.
For real-time event reporting, see Event Reporting Documentation.
The administrator manages the Marketing Model and Tag System, and grants non-administrators permission to use tags and AIPL/RFM models.
Members with the appropriate role permissions can then run User 360, user analysis, audience segmentation, audience analysis and push, and dashboard analysis. See the corresponding feature documentation for details.