Methodology

Aggregates and categorizes data from online general/vertical search, comparative shopping and product review sites that own purchase intent and life-stage data. Keyword-driven taxonomy and proprietary data classification algorithms provide access to over 150 prepackaged segments.

Methodology

BrandIQ/ProductIQ tags and catalogues consumers of over 4,000/5,000 different brands/products across 17 different categories. This allows advertisers to create targetable online segments comprised of consumers based on the brands/products that they own/consume.

Methodology

Aggregates consumer information from over 100 dynamically-changing sources. Delivers an audience based on offline behaviors rather than recent browsing behaviors. Gives the power to target likely buyers, current owners, and consumers with specific brand affinities.

Methodology

V12 turns offline consumers into targetable audiences. They map offline demographic, lifestyle and purchase data into privacy data segments.

Methodology

Powered by rich, third-party certified data on over 85 million business people globally. Bizo gathers non-PII “bizographic” information through its 600 + B2B publisher partners in the form of subscription information, business registrations, and other online data sources.

Methodology

Medicx Media’s mScores modeled data is built from aggregated, de-identified and privacy-safe insurance claims at a neighborhood level. Self-reported “Opt-In” data includes 60M+responses to lifestyle and general survey information.

Methodology

The company was founded on the social science principle that people with similar interests tend to cluster into groups with similar brand affinities and purchase patterns. Media6Degrees establishes a “Social Signature” for your brand based on the collection of sites where your current customers cluster. Then they find other users who match your brand’s social signature and serve ads to them whenever they find them online.

Methodology

The dynamic Social Graph is the technology used to leverage real-world connections around a brand. The Social Graph monitors activity and interests on social networking sites, in addition to online activity as a whole.

Methodology

A behavioral collection pixel is placed on each publishing partner’s webpage to track articles shared, comments posted, videos viewed, photos uploaded and more.

Methodology

Aggregates consumer information from over 100 dynamically changing sources. Delivers an audience based on offline behaviors rather than recent browsing behaviors. Gives the power to target likely buyers, current owners, and consumers with specific brand affinities.

Methodology

P$YCLE core dimensions include income producing assets, household income, age of householder, family composition and home ownership.

PRIZM core dimensions include density (urbanization model), household income, age of householder, family composition and home ownership.

Methodology

Provides demographic data segments to help build brand awareness. Provides interest data segments to guide interaction targeting. Provides intent data segments and branded premium data to help turn purchase intent into a conversion.

Methodology

Collects and interprets unstructured publisher data to create precise audiences. Organizes data into a taxonomy of human behavioral.

Methodology

Data sources include include Polk Auto, Nielsen PRIZM segments, DataLogix Affiniti Frequent Buyers and KnowledgeBase Marketing’s demographics.

Methodology

Aggregates consumer information from over 100 dynamically changing sources. Delivers an audience based on offline behaviors rather than recent browsing behaviors. Gives the power to target likely buyers, current owners, and consumers with specific brand affinities.

Methodology

Behavioral data is broken down into three main segments: Demographic, Interest and Intent. Demographic data consists of aggregated identity characteristics including age and gender. Interest data consists of qualified targeting events captured online and customer interactions that indicate an interest in certain topics or membership in a specific interest cluster or enthusiast group. Intent data consists of qualified targeting events that indicate purchase intent or conversion activity that occurs within the lower strata of the purchasing funnel. E-commerce sites, shopping comparison portals and qualified lead generation sites contribute actionable data.

Methodology

Their patented quiz technology and behavioral tracking inference technology allows them to profile audience at scale, to an unprecedented level of detail. User privacy is fully respected, and data is aggregated anonymously to provide insights for publishers. Advertisers can use the technology to find more visitors like those who are converting or interacting with their online products and e-commerce offerings.

Methodology

Aggregates and categorizes data from online general/vertical search, comparative shopping and product review sites that own purchase intent and life-stage data. Keyword-driven taxonomy and proprietary data classification algorithms provide access to over 150 prepackaged segments.

Methodology

Audience Interest Data identifies fragmented audiences with specific topical engagement characteristics across the network inventory giving you the ability to place ads with more confidence and at scale across the advertising spectrum. Based on Contextual Data we leverage knowledge about your user's content engagement by turning user touch points into actionable interest segment profiles and allowing you to better understand, segment, target, and monetize audiences.

Methodology

Classifies web pages and places them into an advertiser-focused taxonomy. Enables brand safety by semantically targeting at the page level, and layering applicable segments on audience data.

Methodology

Target campaigns more precisely by accessing anything from basic categories (e.g. IAB) to ultra-granularity with more than 350,000 self-maintaining categories. Built for today’s inventories our technology allows to deal with even noisy areas like UGC and with content beyond English while our adaptive spider strategy continuously recognizes relevant content changes.

Methodology

It starts with the data. Aperture uses only the best of the best in terms of depth, breadth and accuracy. But having a large amount of very accurate data covering over 200M individuals in the US over 18 is just the beginning. It’s their proprietary processes for normalizing Aperture’s measurement results to ensure precision that truly sets them apart.

Methodology

Provides detailed real-time information regarding which offers are performing best, why consumers prefer certain offers and messages, and the degree of interaction with the creative.