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Business Challenges and Pain Points

Business Challenges and Pain Points 01
Difficult Customer Profiling

Difficult Customer Profiling
The customer tag system is chaotic and disorganized, making it difficult to effectively understand the business. How can you combine your customer behavior data with third-party big data to build a real-time and effective 360-degree customer profile?

Low Product ROI

Low Product ROI
Despite significant effort and cost invested in developing products, how can the right products be recommended to the right people at the right time to boost sales through intelligent recommendations?

Customer Value Differences

Customer Value Differences
For enterprises, different customers have different values. How can limited resources be allocated differentially among customers of varying value levels instead of treating everyone equally?

Customer Individual Differences

Customer Individual Differences
Even within the same value tier, customers have individual differences in preferences, behavior, habits, and tastes. How can personalized operational plans be crafted to enhance upselling opportunities?

Business Challenges and Pain Points 02
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User Tiger Operations
Enterprise marketing personnel can leverage intelligent marketing products to quickly and independently create an operational campaign. They can also monitor the target conversion rate of the plan in real-time and adjust or optimize the operation plan as needed.

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User Asset Management
This solution comprehensively resolves the unique identity recognition issues associated with multiple devices and accounts, integrates user attributes, tags, and behavior data across platforms, and serves the intelligent marketing loop. By combining Tiger’s full-domain user profiles and precise in-app profiles, businesses can gain better insights into the characteristics of their target audience and design specific marketing activities for different groups.

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AI Application Scenarios
Based on data advantages and a real-time feedback system, combined with Tiger’s proven deep learning recommendation model, enterprises can provide intelligent recommendation services through visual logic configuration. These services cater to different business scenarios and effectively enhance core business metrics.

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