Audience

Businesses looking for a solution to manage corporate user data and optimize customer communication processes

About Mininglamp Customer Data Platform

Mininglamp's Customer Data Platform (CDP) integrates consumer data from marketing, sales, and service channels to help enterprises deliver a superior customer experience. As a powerful, one-stop system for data access, data governance, data modeling, and data services, it identifies and connects customers across devices and platforms based on Super IDs, making it easier for enterprises to ensure better customer experience in marketing, sales, and services, and to realize efficient centralized customer management and operations. Features a data aggregation center (data governance platform), providing scalable services to enterprises without compromising product performance & stability. Develops industry know-how-based marketing data models relying on its insightful analysis and in-depth cooperation with benchmark customers for years. Caters to various business scenarios relying on its interdisciplinary data management and application experience for years.

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Integrations

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Ratings/Reviews

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Company Information

Minglue Technology Group
China
www.mininglamp.com/en/product/detail/49

Videos and Screen Captures

Mininglamp Customer Data Platform Screenshot 1
Mininglamp Customer Data Platform Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Webinars
In Person
Support
Phone Support
Online

Mininglamp Customer Data Platform Frequently Asked Questions

Q: What kinds of users and organization types does Mininglamp Customer Data Platform work with?
Q: What languages does Mininglamp Customer Data Platform support in their product?
Q: What kind of support options does Mininglamp Customer Data Platform offer?
Q: What type of training does Mininglamp Customer Data Platform provide?

Mininglamp Customer Data Platform Product Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling