Big Boxers are the perfect audience for brands that offer a wide variety and a good value. Big Boxers pay attention to ingredients, but they love to save as much money as possible so coupons and special offers appeal to them. They begin and end each day by consuming the news – either by reading the newspaper or watching their preferred television outlet.
Big Boxers are the perfect audience for brands that offer a wide variety and a good value. Big Boxers pay attention to ingredients, but they love to save as much money as possible so coupons and special offers appeal to them. They begin and end each day by consuming the news – either by reading the newspaper or watching their preferred television outlet. All data is de-identified and cannot be used to identify individual consumers.
Product Pricing
The licensing of this product allows each subscribing company to have unlimited employee users.
Trial Data
Obtain a free 30-day trial of this data product here .
Formats
This product is delivered in the following format: Pipe Delimited File
Additional Product Information
Big Boxers love a wide variety of familiar brands. They are brand loyal and shop with the goal of saving as much money as possible. They believe television is a valuable source of entertainment and will rearrange their schedule to watch a preferred program. Less trusting of the internet, they rely heavily on the basic features of their mobile device and view it as a safety item for their family. Big Boxers pamper their pets, keep their homes organized and are active in their communities. They enjoy alone time but value their friendships.
Key segments for targeting include Brand Affinity, Pet Owners, Home Improvement, Social Causes, etc.
Key Features
Curated from multiple, unique first-party data sources.
Not over-modeled. ALC does not model Big Boxers against the entire United States. Should you desire a custom model indexed against the U.S. population, please contact AmazonSupport@alc.com.
High-quality, individual level data.
Includes a persistent synthetic ID which supports full data portability.
Can be combined with other attribute data sets, including ALC Data Essentials.
Includes United States consumers.
Benefits
Customized data applications for marketing
Omni-channel usage
Updated frequently to ensure the most current consumer data
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This is a free trial version with one pricing dimension: Product Access (Units). Subscribing grants you access to the product at no cost. There are no tiers, usage add-ons, or instance sizes to choose from. You pay nothing during the trial. This single dimension covers full access to the trial data set for evaluation.
Top-of-mind questions for buyers
What does one unit of Product Access grant during the trial?
One unit grants you access to the trial data set for evaluation. It is the single dimension that enables you to use the product. There are no separate seats, hosts, or usage counters to track. Access covers the Big Boxers US-only trial content for review purposes.
Does my cost change if I use the trial more or less?
No. This is a free trial with one flat access dimension. Nothing meters your usage, so activity level does not affect cost. You pay nothing regardless of how much you access the trial data set. There are no tiers, overages, or thresholds that trigger a charge.
What kind of data does the trial provide access to?
The trial provides US-only marketing data for evaluation. Adstra Marketing Data focuses on identity resolution, data licensing, and person-based audiences. This trial lets you review a sample data set before deciding on a paid product. Details of the full data set may require contacting the vendor.
www.adstradata.com
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Vendor refund policy
Trial Version - No Refunds.
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Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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