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What is Anonymised?

Anonymised is a revolutionary data platform that functions without the use of personal identifiers, enabling publishers and advertisers to successfully connect with, analyze, and evaluate extensive audiences while ensuring the protection of individual data. This platform improves audience targeting by granting access to demographics that were previously difficult to engage, all while maintaining a strong commitment to privacy. By employing advanced audience insights and predictive artificial intelligence, it aids in identifying potential new customer segments. Additionally, Anonymised features attribution capabilities through cohort-based data, which allows for the evaluation of conversion rates post-exposure. In an era where traditional cookies are becoming obsolete and privacy concerns are on the rise, Anonymised offers a well-rounded solution that balances performance with compliance to regulatory standards. It acts as a crucial link between publishers seeking to optimize their audience monetization strategies and advertisers striving for enhanced marketing efficiency. The innovative technology behind Anonymised ensures scalability, accurate targeting, and strict adherence to privacy laws. By harnessing cross-publisher audience data, publishers can effectively monetize their entire user base by reaching out to all consenting users. Moreover, this dual emphasis on customer engagement and regulatory adherence positions Anonymised as an essential contributor in the rapidly evolving digital marketing sphere, paving the way for future innovations and practices.

What is 1plusX?

Our data management platform empowers publishers to make informed, data-driven choices based on first-party insights, enabling precise audience targeting and engagement in real time. This approach eliminates reliance on intuition. We gather, refine, and optimize our clients' first-party data while ensuring privacy and security, thereby maximizing its potential for impactful decision-making. As a result, our customers can engage their audiences more effectively than ever before.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Anonymised

Date Founded

2019

Company Location

United Kingdom

Company Website

www.anonymised.io

Company Facts

Organization Name

1plusX GmbH

Date Founded

2014

Company Location

Switzerland

Company Website

www.1plusx.com

Categories and Features

Data Management Platforms (DMP)

Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization

Categories and Features

Customer Data Platforms (CDP)

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

Data Management Platforms (DMP)

Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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