What is Ours Privacy?

Ours Privacy is a customer data platform (CDP) that complies with HIPAA regulations, offering a privacy-focused solution that boosts advertising and analytics functionalities while safeguarding sensitive information from unauthorized applications. Users can leverage premium tools like GTM, GA4, Google Ads, and Meta without risking patient privacy.

Designed with marketers in mind and backed by engineering and compliance experts, Ours Privacy includes an extensive array of integrated tools aimed at enhancing healthcare marketing, featuring a consent management system, web scanning functions, embedded multimedia, translation services, and smooth integration with leading advertising and analytics platforms, as well as data warehouses and EHR systems. Additionally, this platform equips organizations to effectively manage the intricacies of healthcare marketing while ensuring unwavering compliance with privacy regulations. With Ours Privacy, marketers can innovate confidently, knowing that patient confidentiality is always prioritized.

Integrations

Offers API?:
Yes, Ours Privacy provides an API

Screenshots and Video

Ours Privacy Diagram

Ours Privacy Diagram

Company Facts

Company Name:
Ours Privacy
Company Location:
United States
Company Website:
oursprivacy.com
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Product Details

Deployment
SaaS

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Ours Privacy Categories and Features

HIPAA Compliance Software

Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management

Customer Data Platforms (CDP)

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