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Description
Envision a customer data platform tailored specifically for your needs, seamlessly adapting to your marketing, sales, and post-sales initiatives with trustworthy, compliant, and real-time information. This comprehensive 360° perspective of your customer enables you to swiftly access their entire history, including profile details, contact information, interaction records, purchase behavior, and any subscribed promotions. With a single interface, visualize all interactions your customer has had with your brand to enhance and strengthen your customer relationships. To achieve this holistic customer view, we aggregate all your customer data into a unified repository, no matter the variety or amount of your data sources. We ensure that all your information—such as names, addresses, phone numbers, emails, loyalty program details, primary store, and product purchases—is accurately reconciled, leveraging our three decades of expertise in data management. Effortlessly send emails, SMS messages, and promotional offers, and utilize our query tool to define your target audiences, enabling you to deliver precise messaging regardless of your data size. By consolidating and enhancing your customer interactions, we empower you to create more meaningful engagements and drive better results.
Description
The Dutch-originated customer data platform, Nominow, collects touchpoint data from any operational source within your organization. It consistently enhances and develops customer profiles into a singular data repository, which proves invaluable for any marketing initiative, event, or customer engagement you wish to pursue. Since each organization possesses its own tailored marketing technology stack, every implementation of Nominow is distinct. We collaborate with your team to evaluate the existing circumstances, contextual factors, and strategic goals for which Nominow will be utilized. This includes a thorough analysis of customer data sources and applications, the IT landscape, and particular requirements. Your Nominow setup is customized to align perfectly with your unique situation and needs. Our focus is on empowering you to manage your customer data effectively, ensuring that you have access to truly actionable insights whenever required. Typically, the process of implementing Nominow spans a duration of 6 to 8 weeks, allowing for a swift integration into your operations. This timeline ensures that your organization can quickly begin to leverage the full potential of its customer data.
API Access
Has API
API Access
Has API
Integrations
Adobe Advertising Cloud
Axi
BlueRetail
Copernica
FuturaERS
Google
IBM WebSphere Application Server
Lightspeed Retail
Mailchimp
Microsoft Dynamics 365
Integrations
Adobe Advertising Cloud
Axi
BlueRetail
Copernica
FuturaERS
Google
IBM WebSphere Application Server
Lightspeed Retail
Mailchimp
Microsoft Dynamics 365
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
Black Tiger
Country
France
Website
blacktiger.tech/en/customer-master-data-management/
Vendor Details
Company Name
Nominow
Country
Netherlands
Website
www.nominow.com/en
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