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.
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.
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.
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.
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.
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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.