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All-in-One Advertising Audience Targeting and Management
Mingdata DMP is an all-in-one advertising audience targeting and management platform. Leveraging Miaozhen’s extensive marketing data and integrating data capabilities from ecosystem partners, it helps brands gain insights into user characteristics, discover high-potential audiences, and achieve precise marketing targeting, ultimately enhancing the ROI of digital marketing efforts.
Why Mingdata DMP?
Industry-leading Data Coverage
Comprehensive and rich tag systems enable deep insights into user characteristics, providing valuable user insights
Powerful Data Capability with Wide Coverage
Supports algorithmic integration, tag construction, and precise targeting
Secure and Trusted “Data Adapter”
Secure and Trusted “Data Adapter”
01
A comprehensive user tag system with deep insights into consumer characteristics.
Pre-built Tag System: Comes with over 1500+ tags organized into 5 levels and 10 major categories—Integrates data from multiple consumer sources to gain deep insights into consumer characteristics. Significant features are labeled, covering attributes such as demographic information, geographic distribution, interests, offline behaviors, and more.
User Profiling: Provides insights into the differences in attributes among different user segments. Compares with the TGI (Target Group Index) across the entire network to identify significant interest features. Empowers media decision-making and targeted advertising.
Lookalike modeling: capable of learning from and expand seed audiences based on Miaozhen’s extensive database, enabling precise targeting of high-potential audiences. Cross-screen ID integration capabilities help identify effective channels to reach consumers, optimizing advertising costs.
02
Target consumers with precision for efficient engagement and enhanced ROI
Industry-leading Data Coverage & High-Value Audience Identification: Nearly complete coverage of mobile devices, with DMP identification rates exceeding 90%. Utilize compliant and high-confidence seed data and feature enhancement to improve model prediction accuracy and coverage. Achieve refined model scenarios and continuously enhance conversion effectiveness.
Precise Audience Segmentation & Multi-dimensional Attribution: Utilize compliant application of multiple tags, supporting tag queries and combination generation for audience segmentation. One-click audience push to advertising platforms, real-time API for precise traffic filtering, enabling audience selection and accurate targeting for different marketing scenarios. Supports analysis of media contribution, ROI, roles, consumer path, frequency, conversion time, evaluation of conversion value brought by brand activities, multi-touch attribution analysis, and optimization of media strategies.
03
Compliance + Collaboration + Openness: Mingri DMP creates a new data collaboration ecosystem
Compliance and Secure Computing Environment: leverages a secure computing environment such as “Data Security Harbor” and federated computing to ensure controlled and secure data applications within a compliant and controlled management environment.
Privacy and Security Measures: Data isolation, encrypted data transmission, de-identification of data, data authorization, and sensitive data identification are implemented to safeguard privacy and security.
Privacy-Preserving Data Interaction: supports data interaction with multiple parties through privacy-preserving computation, ensuring data security for all parties involved.
Mingdata DMP is a SaaS product and follows a multi-tenant model. It is ready for use upon setup. You can contact the Miaozhen team to learn more about the product details, request a trial, and obtain detailed pricing information.
Mingdata DMP offers 1500+ audience tags. These tags cover a wide range of attributes, including demographic information, interests, media preferences, and parenting labels. It also supports custom tags based on specific business needs, such as defining tags based on “ad interaction behavior” or “geographic location.”
