Quick Audience applications include but are not limited to the following scenarios:
VIP group marketing scenario
Business requirements: You need to use tags to identify the characteristics and preferences of customers, distinguish customers into different customer layers such as VIP customers, and use them to invite customers when holding online or offline marketing activities.
Solutions:
In the data extraction and precision marketing scheme, marketing business personnel can define the VIP customers of the brand as customers whose transaction value exceeds a certain threshold (for example, 100$) and the number of transactions exceeds a certain threshold (for example, 10 times).
The filter conditions can be adjusted at any time and the results returned in real time to ensure that the target audience defined by VIP is neither too large nor too small (for example, the first 10%).
Audience portrait and perspective analysis scenario
Business requirements: Before launching, the business department needs to understand the characteristics of the selected audience in terms of attributes, behavior characteristics, and shopping preferences, and the most significant differences are reflected in which characteristics.
Solutions:
Audience analysis provides insight into the distribution of various feature values in the selected population and provides a population portrait of the selected audience.
Further, the significance analysis shows the most different labels (characteristics) of the current audience compared to the large market population, and shows the distribution.
Common model analysis scenario
Business requirements: You need to score all customers based on the common RFM model, score all customers based on the three dimensions of Recency, Frequency, and Monetary, and further manage customer groups. For example, you need to adopt different marketing methods for important retained customers, general value customers, and potential customers.
Solutions:
User Insight has built-in data modeling capabilities based on common models such as RFM and AIPL. No programming capabilities are required. Business departments can independently configure scoring rules and thresholds.
Model clustering allows you to directly create model audiences and apply insights to marketing actions.
Omni-channel marketing scenarios
Business requirements: Brands need to establish an omni-channel consumer data asset system for omni-channel consumer operations.
Solutions:
It is deeply integrated with brand data banking capabilities to provide services to customers in Alibaba Cloud and the ecosystem respectively, and to realize one-click efficient interoperability between brand data and platform data, thus comprehensively improving the efficiency of brand omni-channel consumer operations.
The link with Dharma Disk is opened to realize the integration and de-weighting of one group of brand-owned consumer assets and consumer assets in Ali domain, identify the total amount of operable consumer assets, identify the depth of relationship between consumers and brands in different channels, identify the brand development stage, the health of consumer assets, adjust the operation strategy, and refine the operation and formulate marketing strategies in Ali's mother's delivery channels.
recommend collocation combination
recommend Quick Audience with Dataphin and Quick BI:
You can use Dataphin to process data. For more information, see Dataphin introduction.
Use Quick BI to analyze data reports. For more information, see What is a Quick BI.