PeopleCore

**Description**

**Overview:** AnalyticsIQ’s PeopleCore provides audiences from demographics and affluence predictors to psychological drivers and purchase behaviors, allowing marketers to rely on our audiences to create personalized experiences.

**Use cases:**

Our team is comprised primarily of data scientists, analysts, researchers, and cognitive psychologists. We focus much of our attention on creating and validating our data to meet the needs of the marketplace.

Digital can be used for personalized and targeted marketing communications by allowing marketers to optimize messaging, creative, and offer based on specific consumer characteristics, behaviors, and preferences. This facilitates better custom retention, customer acquisition, cross-sell & up-sell, and engagement rates.

Digital can be used for analytics, insights, and measurement of programmatic and advanced TV campaigns.

**Overview of data:** AnalyticsIQ’s PeopleCore predictive categories include automotive, channel preferences, charitable contributions, demographics, finance, health & wellness, in market intentions, interests, gaming, purchase behaviors, motivations, political, FLA friendly, back to school, holiday, social distancing, working from home, technology, travel intenders, and more. Population / geographic information is for USA.

**Sample fields include:**

- *NewGrandparents_Ind:* This segment contains individuals who are likely to be new grandparents in the last 1 to 2 years. AnalyticsIQ > Demographics > Household Composition > New Grandparents
- *Vgames_RPG_Games_Ind:* This segment contains individuals who are likely to play and enjoy role-playing video games (RPG) like Diablo, Marvel Heroes, Dragon Slayer, etc. AnalyticsIQ > Interest > Video Games > Game Preferences > Likely to Play Role-Playing (RPG) Video Games
- *Voter_Likely:* This segment contains individuals who are likely to vote in political elections. AnalyticsIQ > Political > Voting > Likely to Vote
- *TV_Stream_Hulu_Ind:* This segment contains individuals who are likely to subscribe to Hulu. AnalyticsIQ > Television (TV) Viewership > Streaming Services > Likely Hulu Subscribers
- *Travel_Region_West_Coast_Ind:* This segment contains individuals who are likely to travel to the West Coast in the United States in the next 12-months. AnalyticsIQ > Travel Intenders > Region > Likely to Travel to West Coast US

**Data source:** Our data is created in an offline process but leverage offline and online data and behaviors. The vast majority of our database is proprietary although a few publicly available data sources are leveraged in its development. AnalyticsIQ sources data from over 100 sources such as the census, econometric data from the US government, home sales information from county courthouses, occupation information from state licensing boards, past purchase behaviors, and more. AnalyticsIQ is not an original compiler as the data above is readily available for purchase out in the market. However, AnalyticsIQ uses superior analytics to make our data best-in-class.

One tool that is completely unique to AnalyticsIQ’s product development process is our proprietary survey data. This is where our Cognitive Sciences Department carefully crafts questions that we serve to a panel of consumers. Survey responses are not directly published on our file, but rather the answers are then modeled across our entire consumer file. This methodology allows us to create attributes that keeps up with industry trends as well as provide expanded reach for what are traditionally niche audiences.

**Frequency of updates:** Quarterly

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