Small Business Attributes


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Expand your addressable market, better manage risks and optimize terms.

LexisNexis® Small Business Attributes delivers relevant insights into positive and negative events with counts, duration and recentness to help create a holistic view into small buiness performance. Attributes include information on assets, firmographics, derogatory information, public records, credit inquiries, structure, activity and relationships.


  • Improve targeting accuracy
  • Accelerate and improve response rates
  • Find untapped opportunities within your existing customer base
  • Reduce the costs of customer acquisition
  • Increase retention


  • Library of nearly 200 model-ready data attributes built from 10,000+ sources of public records, proprietary information and alternative data files
  • In-house modelers can assess small business opportunities
  • Develop custom scoring models
  • Provides information on the business entity including recent positive and negative events with counts, duration, recentness and other critical insights to hone targeting efforts
  • Improve auto-decisioning strategies
  • Streamline account origination and monitoring
  • Attributes can supplement prospecting lists and/or existing customer lists to help segmentation, targeting and cross-selling efforts
  • Attributes are complementary and additive to traditional credit bureau attributes

Get it now: For more information about Small Business Attributes, call 800.953.2877

More Information

LexisNexis® Risk Solutions Small Business Attributes Brochure

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Due to the nature of the origin of public record information, the public records and commercially available data sources used in reports may contain errors. Source data is sometimes reported or entered inaccurately, processed poorly or incorrectly, and is generally not free from defect. This product or service aggregates and reports data, as provided by the public records and commercially available data sources, and is not the source of the data, nor is it a comprehensive compilation of the data. Before relying on any data, it should be independently verified.

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