Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Consolidate customer information from various sources into one enduring customer ID. Provide cross-departmental teams with machine learning insights that facilitate large-scale 1:1 segmentation. Transform your marketing approaches and enhance customer experiences through centralized data that generates meaningful insights. Leverage behavioral data to create fluid interactions across different channels. A clearer view of customer data enhances personalization, sharpening focus on your marketing strategies and decision-making processes. Grant your entire organization access to universal data, enabling thorough analyses at both individual and aggregate levels. Implement predictive modeling to develop tailored content informed by behavioral insights. Employ persona models to categorize customers into segments based on an extensive range of variables. Utilize recommendation algorithms to identify the optimal next steps for both customer segments and individual clients, thereby driving more effective engagement strategies. Ultimately, this comprehensive approach to customer data will foster deeper relationships and improve overall customer satisfaction.
Description
Mininglamp's Customer Data Platform (CDP) unifies consumer information from various marketing, sales, and service channels, enabling businesses to enhance their overall customer experience. This robust, all-in-one system facilitates data access, governance, modeling, and services, allowing enterprises to recognize and link customers across multiple devices and platforms through the use of Super IDs. By doing so, it streamlines the process of achieving superior customer experiences in marketing, sales, and service areas while enabling efficient centralized customer management and operational workflows. Additionally, the platform features a comprehensive data aggregation center that serves as a governance hub, offering scalable solutions to enterprises without sacrificing performance or stability. Drawing from years of insightful analysis and collaboration with leading clients, it formulates marketing data models based on industry expertise. Moreover, it effectively addresses a wide range of business scenarios by leveraging its extensive interdisciplinary experience in data management and application. This versatility ensures that Mininglamp's CDP remains a valuable asset for businesses looking to optimize their customer interactions and operational efficiency.
API Access
Has API
API Access
Has API
Integrations
Acquia Cloud Platform
Acquia DAM (Widen)
Acquia Optimize
Acquia PIM
Adobe Analytics
Amazon S3
Criteo
Google Ads
Google Analytics
Google Cloud Storage
Integrations
Acquia Cloud Platform
Acquia DAM (Widen)
Acquia Optimize
Acquia PIM
Adobe Analytics
Amazon S3
Criteo
Google Ads
Google Analytics
Google Cloud Storage
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Acquia
Founded
2007
Country
United States
Website
www.acquia.com/products/acquia-cdp
Vendor Details
Company Name
Minglue Technology Group
Country
China
Website
www.mininglamp.com/en/product/detail/49
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling