Better Research, Greater Insights, Premium Targeting
Our technology, also known as the Crowd Science CITRUS™ platform, allows publishers and networks, and other premium sites to conduct better research to develop unique audience insights, and turn these insights into better audience ad targeting. Our solutions provide automation, scale and sophistication to audience insights and monetization not available from other vendors or off-the-shelf products.
Crowd Science is able to provide the only true first-party data insights driven targeting solution. Grounded in market research, leveraging analytics and machine learning, the CITRUS methodology provides publishers with the ability to win more RFPs, differentiate their audience, and demonstrate their value.
First-party BIG data
The core innovation of our Science is the combination of web analytics, survey-based data collection and sophisticated machine learned based segmentation. The core CITRUS methodology is defined as four main components :
- Data Collection: A highly automated and massively scalable data collection system utilizing a lightweight script to collect survey, content and online behavioral data. This collection of direct self reported response and observed data provides unique audience insights and establishes the ingredients for advanced segmentation.
- Segmentation: Segments are created by defining any combination of the collected data components into an audience segment. Components are comprised of observed (technographics) and non-observed data (survey based demographics, psychographics, firmographics, offline, non-endemic etc.)
- Action: Value is realized most clearly when data becomes actionable. Action is achieved with a single data piece can be leveraged to carry out a specific business objective. In this case, online audience data is defined as most valuable when it is related to a monetary transaction such as ad targeting. Other actions may include defining dynamic content or other online services.
- Validation: The CITRUS methodology includes validation as an inherent component of the system. Validation is comprised in the form of continual sampling and machine learning coupled with application based effectiveness research. Brand lift effectiveness research provides the ability for proactive validation of audience composition and brand lift by audience and segment.