Sold by: AnalyticsIQ
Deployed on AWS
Media & Entertainment Attributes – Offline contains individual or household level data variables that provide and predict a variety of unique characteristics related to media consumption habits and personal entertainment preferences ranging from TV viewership to brand preferences to video game activity and more.
Overview
Media & Entertainment Attributes – Offline (Individual or Household Level) Data Product Overview
Media & Entertainment Attributes – Offline contains individual or household level data variables that provide and predict a variety of unique characteristics related to media consumption habits and personal entertainment preferences ranging from TV viewership to brand preferences to video game activity and more.
Use Cases
Media & Entertainment Attributes – Offline 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 customer retention, customer acquisition, cross-sell or up-sell, and engagement rates.
Media & Entertainment Attributes – Offline can be used to enrich CRM data by appending attributes to existing individuals in order to learn more about your customers.
Media & Entertainment Attributes – Offline can be used for your own modeling processes.
Metadata
| Description | Value |
|---|---|
| Geographic coverage | United States of America |
| Data Population Level | Individual or Household |
| Number of individuals/households covered | 242.5+ million individuals & 117+ million households |
| Raw or scraped data | Raw Data |
| Key Fields | Smartphone Usage, Social Channel Activity, Online Shopping, Television Viewership, Video Game Activity Level & Platform Preferences |
| Data Source(s) | 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. These are predominantly public sources including: Core Demographic data from multiple sources; Census Block and Block Group level data; Econometric data from the US government; Summarized credit data from multiple credit bureaus; Property and mortgage information from county courthouses; Occupation information from state licensing boards; Past purchase behavior from catalogers and retailers that contribute their data at a category level. 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 to create truly unique data points not available anywhere. |
| Update Frequency | AnalyticsIQ data is updated on a quarterly basis |
| Key Words | Smartphones, TV, Television, Video Games, Shopping, Cell Phones, Social Media |
Key Data Points
Examples of key data points include:
- Gaming_Platform: Segmentation of video game players across gaming platforms
- InMarket_OnlineShop: Likelihood of Shopping Online
- LT_Gamer_Scale: Video game dedication spectrum
- Mobile_May_Switch: Likelihood of switching mobile service provider
- Smartphone_iPhone: Likely to own an iPhone
- SocialIQ_v2: Likelihood of being active and influential on social media
- Steam_User: Likelihood of using steam to purchase video games
- TV_Daily_Viewing_v2: Likely to watch TV 6+ hours a day
- YouTube_Creator: Likelihood of being a YouTube content creator
Additional Information
Automotive Audiences – Digital Data Dictionary and AnalyticsIQ Full Data Dictionary are available for download. Please contact aws-support@analytics-iq.com for access.
Pricing Information
For pricing information on our 12-month licenses please reach out to Margo Hock at margoh@analytics-iq.com .
Regulatory and Compliance Information
All AnalyticsIQ audiences are HIPAA compliant, and many audiences are Regulation B / FLA friendly or have alternative Regulation B / FLA friendly versions. To learn more about AnalyticsIQ’s Regulation B / FLA Friendly data.
For users who wish to avoid PII, all AnalyticsIQ data can be anonymized through tokenization thanks to our strong partnership with Datavant, a leading providers of data de-identification services.
For information, please reach out to aws-support@analytics-iq.com .
Need Help?
If you have any questions about AnalyticsIQ or our data, please reach out to aws-support@analytics-iq.com .
About Your Company
Founded in 2007 and based in Atlanta, AnalyticsIQ is vastly made up of data scientists, analysts, researchers, and cognitive psychologists with over 100 years of collective analytical experience. AnalyticsIQ is the first data company to consistently blend cognitive psychology with data science to understand the heart of individuals and their motivations – both as a consumer and as a professional. By linking an individual’s consumer profile at home to their professional profile at work, AnalyticsIQ strives to help companies know their customers and prospects like they know their friends, and its mission is for data to fuel every brand experience. AnalyticsIQ’s data consistently outperforms other data providers, and the company’s flexible approach means that they will do whatever it takes to work with clients to solve the challenges they may be facing. To learn more about AnalyticsIQ, please visit https://analytics-iq.com/ .
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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Dimensions summary
This listing carries a single pricing dimension offered at no cost. You access media and entertainment attributes at the individual or household level using offline data. Because it is free, there are no tiers, usage bands, or quantity-based charges to compare. The one dimension covers the data delivery without add-on pricing. The attributes describe consumer media habits, preferences, and viewing behaviors that support audience targeting and analytics. To use this data in a paid engagement or expand beyond this listing, you would arrange terms directly with the vendor.
Top-of-mind questions for buyers
The listing delivers attributes at the individual or household level. These describe consumer media habits, viewing preferences, and entertainment behaviors sourced from offline data. The unit represents access to these attributes rather than a per-record or per-thousand charge, since this listing is offered at no cost.
No. This listing is priced free, so there are no usage bands, per-record charges, or tier thresholds that raise your cost as volume grows. Nothing on this listing triggers additional charges. Paid, volume-based arrangements would be handled separately through direct terms with the vendor.
This Marketplace listing itself carries no charge. For paid use, the vendor offers options such as cost per thousand records for usage, licensing for specific use cases, or multi-year agreements. You would arrange these terms directly with the vendor outside this free listing.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
AnalyticsIQ Offline Sample Data sets | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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