The BlueKai Exchange is the world's largest data marketplace and the de facto standard for open and transparent audience data trading. We've created an economy built on premium quality data, flexible and fair pricing, and scale that is unmatched in the industry. The result is the most comprehensive access to quality data available to target audiences at any stage of the purchase funnel.

| Data Type | Description | Source | Availability | Qualification | Segmentation |
|---|---|---|---|---|---|
| Intent | Consumers who intend to buy a particular product or service in the near term. | Exclusive ![]() |
160+ million uniques | Actions indicating intent to buy on top tier ecommerce, financial, retail, online travel agency sites. Sample actions include interactions with a search function (either via search widget, or entering in a keyword), product comparison, loan calculators, etc. | Autos (ie. by Make and Model) Financial services (ie. loans, mortgages, investment products) Travel (ie. by departure/destination city, length of stay, air travel, hotel, rental cars and brands) Education (ie. by education products and services) Retail (ie. by product type, categories, brands) Local Goods & Services (ie. by products and services) |
| B2B | Business consumers who are occupationally similar. | Exclusively ![]() |
12+ million uniques | Occupational attributes sourced from hundreds of business web sites | Company size Functional area Industry Seniority |
| Past Purchases | Consumers who are more likely to buy based on pervious purchasing habits |
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65+ million uniques | Consistency in online and offline shopping behaviors | By Product Type (e.g. Women's Apparel, Laptop ) |
| Geo/Demo | Geographically or demographically similar. | TBD | Geo: By State Demo: Age, Education Level, Gender, Homeowner Status, Household Income, Presence of Children |
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| Interest, Lifestyle | Consumers who are more likely to be interested in a topic or fall within a lifestyle category based on modeling from multiple data types | 103+ million uniques | Consistency in online and offline shopping behaviors contrasted with demographic attributes to determine interest, hobbies and lifestyles. |
By Product Type (ie Women's Apparel, Laptop) By Lifestyles (e.g. By Generations (e.g. Gen X, Baby Boomers) By Social (e.g. Social Behavior, Social Signals, Interest between Friends) |
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| Branded | Consumers sorted by branded sources of data ranging from geo/demo, lifestyle, interest and purchase propensity | TBD | Contact BlueKai to get a comprehensive list of data providers | Contact BlueKai to learn more about our branded data providers | |
| Estimated Financial/Economic | Consumers grouped by their estimated financial characteristics | ![]() |
n/a | Developed from IXI's proprietary measures. | Examples include Income, Discretionary Spending, Economic Cohorts, Economic Spectrum, Ability to Pay, etc. |
| Premium Demo | Qualified demographic attributes, based on consensus and validation, for targeting audiences at scale | Exclusively![]() |
90+ million uniques | If two of more data providers agree on a user's demographic attributes and no other data provider disagree that is qualified as consensus. Data is tested quarterly to continue to meet the specified standard of excellence in data quality. | Age, Gender, Household Income, Marital Status, Presence of Children (new categories coming soon!) |