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Description

Borlabs Cookie is a user-friendly WordPress plugin designed for GDPR compliance that facilitates the integration of various cookies, including retargeting cookies like Google AdSense, through an opt-in mechanism. The plugin ensures that JavaScript is only activated and cookies are deployed after visitors explicitly consent by acknowledging a cookie notice. Under the GDPR and the ePrivacy Regulation, it is prohibited to place cookies without visitor approval, rendering the former opt-out approach obsolete. With Borlabs Cookie, cookies are only set if visitors actively consent to their usage, allowing for a more transparent and compliant user experience. Users can effectively manage their cookies by organizing them into Cookie Groups and can also present a detailed list in their Privacy Policy, which includes essential information such as the cookie name, duration, purpose, and origin. Additionally, the flexibility of the plugin allows for the creation of numerous Cookie Groups and individual cookies, empowering visitors with choices regarding their consent preferences. This level of customization not only enhances user trust but also aligns with regulatory standards, promoting a responsible approach to data privacy.

Description

HealthVerity Consent is a cloud-based platform designed to assist organizations in overseeing and regulating consumer data-use permissions, ensuring adherence to privacy regulations across both internal infrastructures and external vendors. By providing a centralized approach to managing opt-in and opt-out preferences that are accumulated from various interconnected systems, it serves as the definitive reference for permissions. This solution not only notifies all consumer data source systems, whether they are within the organization or part of partner networks, about any modifications in consent permissions but also guarantees that all stakeholders remain informed with the most precise data available, simplifying compliance efforts. It effectively consolidates and reconciles individual consumer data permissions into one accessible location, facilitating a seamless integration of technology without disrupting current systems and workflows. Moreover, it enables the creation of a shareable and immutable record of consent permissions alongside consumer data requests, thereby enhancing transparency and accountability. Overall, HealthVerity Consent streamlines the management of consumer consent, making it easier for organizations to navigate the complexities of data privacy.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Lime Connect
WordPress

Integrations

Lime Connect
WordPress

Pricing Details

€39 per website
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

Borlabs

Country

Germany

Website

borlabs.io/borlabs-cookie/

Vendor Details

Company Name

HealthVerity

Founded

2015

Country

United States

Website

healthverity.com/solutions/healthverity-consent/

Product Features

Consent Management Platforms

Additional Users / Permissions
Automatic Cookie-Blocking
CCPA Compliance
CMS Integration
Cookie Crawling
Design/Branding Customization
Fingerprinting
GDPR Compliance
IAB Compliance
Reporting / Analytics
Responsive Design
Subdomains Compatibility
Tag Manager Integration
Whitelabel Solution

Product Features

Customer Data Platforms (CDP)

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

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