ListBargains.com

Premier Marketers Count on Our Data

Our proprietary, multi-channel data is the most Scalable, Selectable and Relevant info for advertisers available today. Multiple data sources, aggregated and verified for accuracy, are proven more solid, scalable and reliable than single-source data from other providers. A broad profile of each record is accomplished by combining fresh, responsive signals and behaviors, self-reported, registrations, subscriptions, transactions, purchases, subscriptions, intent, memberships, surveys, contextual, brand signals, shopping, keywords, business directories and public records. Comparing segment to segment our counts are larger and outperform those of the largest data providers.

  • Top-Rated Age and Gender demographics
  • Comprehensive Coverage of vital Young Adult lifestage
  • Optimal Business Prospects highlighting the Small Business sector
  • Consumer Shopping Behaviors and expenditures by category, CPG, store, brand
  • Customized Audience Segmentation to meet your unique targeting needs
  • Full Suite of Digital and Offline data products and services
  • Identifier fields: contact name, postal address, full email, cookie, mobile ID, timestamp, lat/long, ip address, hash email, device type, browser, operating system
  • Use Cases: audience targeting, CRM enhancement and append, customer insights, risk management, data licensing, custom segmentation, channel linkage
  • More info: Data updates daily, weekly and monthly, can be accessed offline or through any digital platform, see further descriptions and taxonomies below

CONSUMER DEMOS AND BEHAVIORS
  • Taxonomy link:  Consumer Demos and Behaviors
  • Scale:  245MM INDIVIDUALS @ POSTAL | 700MM EMAILS | 500MM COOKIES | 80MM ANDROID IDS | 72MM APPLE IDS |  600+ SEGMENTS
  • Demographics: Age, Gender, Income, Homeowner, Ethnicity, Religion, Pets, Military, Students, Voters, Young Adults
  • Family: Babies & Toddlers, Young Children, Teens, Empty Nesters, Grandparents, Parenting
  • Finance: Affluent, Investors, Charitable Donors ||  Political Ideology ||  Voters
  • Interests: Education, Career, Health, Fitness, Fashion, Home & Garden, Entertainment, Dining Out, Shopping, Computers, Technology, Sports, Travel, Gaming, Social Media
  • Vehicles:  Auto Make, Model, Domestic, SUV, Sporty, Sedan, Compact, Luxury, Minivan, Pick-up, Boat, Truck, RV
  • Triggers:  Expectant and New Parents, Engaged, Newlyweds, New Graduates, Retired, Movers, Homeowner Refi, Credit-Seekers, New Credit Card, In-Market
  • Purchase Behavior:  Transactions, Intent, Brand, Stores, Products, CPG, Grocery, Grooming, Household, Luxury Fashion

BUSINESS FIRMOGRAPHICS
  • Taxonomy link:  Business Firmographics
  • Scale:  200MM CONTACTS @ POSTAL |20MM COMPANIES | 30MM EMAILS | 40MM COOKIES | 9MM ANDROID IDS | 8MM APPLE IDS |  500+ SEGMENTS
  • Firmographics: Revenue,  Employee Size, Industry,  Occupation, Title, SOHO, Woman-Owned Businesses, Working Women, Small Business Owners
  • Industries: Healthcare, Finance, Construction, Legal, Information Technology, Engineering, Agriculture, Retail, Wholesale, Government
  • Function: C-Level, Executive, Owner, President, VP, Director, Administrative, Marketing, Human Resources, Sales, Management, IT, Healthcare
  • Purchasing: Computers, Software, Office Products & Supplies, Technology, Furniture, Transportation, Telecommunications, Travel, Gifts

 


IN-MARKET BRAND SHOPPERS
  • Taxonomy link:  In-Market Brand Shoppers
  • Scale:  140MM HASH EMAILS MONTHLY | 30MM POSTAL AND EMAIL RECORDS MONTHLY | 800 BRANDS | 200 INTENT CATEGORIES
  • Retail Brands: Verizon, Starbucks, Gucci, Disney, Carnival Cruise, Walmart, Amazon, Staples, Microsoft, Sports Illustrated, Nike, Apple, Huggies, Nestle, Wall Street Journal, Fox
  • Social Media Behaviors: Facebook, Instagram, Google, Twitter, LinkedIn, YouTube, eBay, Snapchat, Yelp
  • Seasonal and Holiday Shoppers:  Christmas, NFL/Sports, Halloween, Outdoor Entertainers, Easter, Valentine’s Day, Academy Awards, Back to School, Holiday Travel
  • Source:  Keyword search and online contextual behavior, brand-specific association behavior, in-market store name, CPG and product vertical signals. These folks are in the market, are shopping around, gathering product details, comparing prices, and are ready to buy
  • Use Cases:  conquest marketing, targeting, CRM retargeting, shopping trends, in-market prospecting, data append, customer insights 

 KNOWN PURCHASE TRANSACTIONS
  • Taxonomy link:  Known Purchase Transactions
  • Scale: 2MM unique purchasers monthly | 700k consumers | 1.3MM businesses 
  • Sample Purchase Categories: Apparel, Auto, Children’s Merchandise, Education, Financial Services, Health & Wellness, Pets, Sports, Gaming, Business Services, Office Equipment, Pharmaceutical & Biomedical, Telecommunications, Industrial Machinery
  • Market Value: This data represents $1B in transactions annually from 20MM unique consumer and business purchasers, for an average transaction value of $50
  • Source:  Known purchase transactions delivered via a parcel shipment service identifies deliveries to consumer and business addresses
  • Use Cases: Transaction categories, purchase trends, CRM data enhancement, targeting, customer insights, business vs. consumer purchases
  • More info: Data updates monthly, although weekly updates are available. Purchase categories, sub-categories, and last 10 purchases are selectable. 

 TOP HOUSEHOLD EXPENDITURES BY CATEGORY
  • Taxonomy link:  Top Household Expenditures
  • Scale:  240MM consumers | 120MM households | 750 categories 
  • Expenditure Categories: Families with Children, Vehicles and Transportation, Out of Town Travel, CPG Food and Beverages, Home and Garden, Credit and Finance, Entertainment, Apparel and Accessories, Health and Personal Care
  • Target Market: Select your perfect audience to target the US households who are spending the MOST on a specific product or service. Start with the top 5% high spenders and grow your audience from there, targeting only the most relevant consumers and increasing return on your marketing spend.
  • Source:  Multi-sourced with self-reported, survey and transactional marketing data
  • Use Cases:  Target consumer high spending by category, track purchase trends, online audience segmentation, retail store placement, marketing research, customer insights, CRM append.
  • More info:  Data updates monthly, select household spending categories and reach individual consumers. Target by purchase categories or specific products and services.

MEGA MOBILE IDS
  • Information link:  Mega Mobile IDs
  • Scale:  240MM consumers | 120MM households | 750 categories 
  • Expenditure Categories: Families with Children, Vehicles and Transportation, Out of Town Travel, CPG Food and Beverages, Home and Garden, Credit and Finance, Entertainment, Apparel and Accessories, Health and Personal Care
  • Target Market: Select your perfect audience to target the US households who are spending the MOST on a specific product or service. Start with the top 5% high spenders and grow your audience from there, targeting only the most relevant consumers and increasing return on your marketing spend.