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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Anonymised is a data platform that operates without the use of IDs, allowing both publishers and advertisers to effectively understand, reach, and measure their audiences on a large scale while ensuring that personal data remains secure. This platform enhances audience targeting capabilities by granting access to previously unreachable demographics, all while upholding privacy standards. Utilizing detailed audience insights and predictive artificial intelligence, Anonymised assists in discovering potential new customers. Moreover, it provides attribution features through cohort-based data to evaluate post-view conversion rates. With the decline of cookies and increasing privacy concerns, Anonymised emerges as a solution that harmonizes high performance with strict compliance. It serves as a bridge connecting publishers looking to optimize their audience monetization and advertisers striving for improved marketing outcomes. The proprietary technology of Anonymised guarantees scalability, precise targeting, and adherence to privacy regulations. By leveraging cross-publisher audience data, publishers can effectively monetize their entire audience base by targeting all users who have given their consent. This innovative approach not only addresses current market challenges but also sets a new standard for privacy-focused data utilization in advertising.

Description

Discover how top-tier platforms and marketplaces leverage our data infrastructure to streamline their merchant operations. Enhance your onboarding process by automating catalog digitization through our API. Enable a frictionless onboarding experience by incorporating job requests directly into your application's signup flow, or alternatively, submit requests via our platform to obtain high-caliber structured catalog data. The Woflow Engine is a machine learning-driven task automation solution that equips businesses to efficiently create and manage intricate structured data on a large scale. We seamlessly integrate with your current workflows, allowing us to receive job requests and deliver quality structured data that meets industry-leading service level agreements. Our automated consensus system ensures multiple instances of tasks are executed with precision, while any discrepancies are meticulously reviewed and rectified by a quality assurance member from our distributed workforce. This approach guarantees reliability and accuracy in data handling, making it easier for businesses to focus on growth.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$ 0.08 per component
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

Anonymised

Founded

2019

Country

United Kingdom

Website

www.anonymised.io

Vendor Details

Company Name

Woflow

Founded

2017

Country

United States

Website

www.woflow.com

Product 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

Product 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

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