- Data Categories
Agriculture Data 
B2B Data 
Biometric Data 
Company Data 
Conservation Data 
Demographic Data 
Economic Data 
Environmental Data 
Geospatial Data 
Healthcare Data 
Individual Data 
Industry-Specific Data 
Internet of Things (IoT) Data 
Legal and IP Data 
People and Employment Data 
Political Data 
Psychology Data 
Real Estate Data 
Retail & Commerce Data 
Social Data 
Space Exploration Data 
Sports & Entertainment Data 
Web Data
- Data Categories
- Agriculture Data
- B2B Data
- Biometric Data
- Company Data
- Conservation Data
- Demographic Data
- Economic Data
- Environmental Data
- Geospatial Data
- Healthcare Data
- Individual Data
- Industry-Specific Data
- Internet of Things (IoT) Data
- Legal and IP Data
- People and Employment Data
- Political Data
- Psychology Data
- Real Estate Data
- Retail & Commerce Data
- Social Data
- Space Exploration Data
- Sports & Entertainment Data
- Web Data
B2B Data
What Is B2B Data?
B2B data refers to data about businesses who primary customers are other businesses. The B2B field is different from B2C (business to customer) in several ways. Among them, however, is that the sales journey is much longer and client needs much more specific. B2B data, therefore, mainly deals in data that helps marketing.
Where Does B2B Data Come From?
There are various sources of this data: websites, news, data-as-a-service (DaaS) providers, and freelance web scrapers. Web scrapers, however, may not collect the data according to the GDPR (General Data Protection Regulation) law in EU and European Economic Area countries, so you should be careful of the scraper you choose to use.
Additional sources include customer interviews, surveys, and sharktank competitions.
What Types of Columns/Attributes Should I Expect When Working with This Data?
Naturally, B2B data attributes include general company data like industry type, company name, financial data, and employee data. Additional sources that vendors record are the technologies that the companies use.
Above all, you must update changes in the company status whenever they occur because these changes herald opportunities to make a sale. Examples of these opportunities include new acquisitions, promotions, scheduled events, and changes to an office location, source of funds, or investors.
What Is This Data Used For?
As noted above, companies mostly use this data to generate sales or leads. However, they can also use the data to conduct market research, allowing you to identify industry trends and compare your company to others in the field.
How Should I Test the Quality of B2B Data?
To determine the quality of the data, make sure to use a provider with a good reputation. They should be able to provide you with a sample data set that they update frequently.
Another important test for B2B data quality is update frequency, particularly as this type of information frequently changes. In other words, contacting people who have changed positions, moved on to a different company, etc. could lead to backlash.
Interesting Case Studies and Blogs to Look Into
Hornetsecurity Case Study RGB V2 FINAL
ZoomInfo: Appcues Product-Led Growth Platform Sees 41% Increase in Pipeline
Tangible Examples of Impact
As lockdowns continue to be turned on and off, [B2B businesses] need to respond quicker, with ways to engage that fit the moment. The pandemic has forced marketers to think of new, innovative ways to generate revenue, which has in turn pushed them to evaluate the technologies they are using in order to do so.
B2B Data categories (3)
Datafiniti Users?
Relevant datasets
HoxPlus Email Database
HoxPlus Email Database contains nearly 400 highly accurate B2B & B2C mailing lists, covering 80 countries in every world region
Prospectify Data
Prospectify Data helps companies find and develop leads. In 2019, the AngelList startup community acquired them for their platform.
ProspectHunter B2B Lead Generation
PropsectHunter B2B Lead Generation uses proprietary methodologies for outreach & sales in finserv, software, healthcare, & other industries
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