Roqad provides a cookieless identity resolution platform that utilizes a probabilistic identity graph to connect digital device IDs across North America and Europe. This technology enables businesses to achieve over 80% coverage of online addressable users while ensuring compliance with privacy regulations, addressing the challenges posed by the decline of third-party cookies.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The advertising technology (AdTech) and marketing technology (MarTech) industries face increasing challenges in identifying and reaching online users due to the decline of third-party cookies and identifier for advertisers (IDFAs). This makes it difficult for businesses to effectively target and personalize advertising campaigns while remaining compliant with evolving privacy regulations.
Solution
Roqad offers a cookieless identity resolution platform that enables businesses to identify and connect with a larger portion of their online audience across North America and Europe. The platform utilizes a probabilistic identity graph that stitches together various digital device IDs, including first-party cookies, universal IDs, publisher IDs, and connected TV (CTV) IDs. By employing machine learning (ML) and artificial intelligence (AI), Roqad's solution improves the accuracy and coverage of user identification in a privacy-compliant manner, helping businesses extend audience reach, translate segments, improve attribution, cap frequency, and recover sales. The platform is designed with privacy-by-design principles and supports global, privacy-compliant requirements, including General Data Protection Regulation (GDPR) compliance.
Target Audience
Roqad's primary customers include AdTech companies, MarTech companies, consumer packaged goods (CPG) brands, digital agencies, affiliate marketing networks, demand-side platforms (DSPs), customer data platforms (CDPs), and publishers seeking to improve audience reach and campaign performance in a privacy-compliant manner.
Features
- Probabilistic identity graph connecting various digital device IDs across North America and Europe
- Coverage of over 80% of online addressable users
- Machine learning and artificial intelligence algorithms for improved accuracy and coverage
- Privacy-by-design principles and GDPR compliance
- Support for first-party cookies, universal IDs, publisher IDs, and CTV IDs
- Solutions for segment extension, segment translation, attribution, frequency capping, and sales recovery
- Data onboarding capabilities to convert hashed emails to various digital IDs
- Household graph to target and retarget everyone in the same household