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Description
The Commanders Act Customer Data Platform empowers businesses to boost both sales and customer loyalty by fostering significant connections with their leads and clientele. As the expenses associated with acquiring new customers continue to escalate, conversion rates remain stagnant at around 2.5%-5%. To enhance marketing effectiveness, brands are increasingly gathering valuable data insights—including behavioral, demographic, and psychographic information—from every interaction with leads and customers. This highlights the necessity of collecting comprehensive data from all customer engagements. Additionally, it’s essential to cleanse, standardize, and securely store this information in a centralized database that is readily accessible to all marketing channels and utilized by sales and customer service teams within their CRM systems. To adopt a truly customer-centric approach, marketers must prioritize being data-driven, making it vital for them to access trustworthy data that allows for a thorough evaluation of their marketing strategies and techniques. By harnessing these insights, businesses can tailor their offerings more effectively to meet customer needs.
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
AT Internet
Actito
Acxiom Real Identity
AdRoll
Adform
Adobe Advertising Cloud
Chartbeat
Crazy Egg
Epsilon PeopleCloud
Experian Aperture Data Studio
Integrations
AT Internet
Actito
Acxiom Real Identity
AdRoll
Adform
Adobe Advertising Cloud
Chartbeat
Crazy Egg
Epsilon PeopleCloud
Experian Aperture Data Studio
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
Commanders Act
Founded
2010
Country
France
Website
www.commandersact.com/en/solutions/customer-data-platform/
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