Great examples of static data in B2B are annual reports, company research, presentations, etc. Static data can be manually updated for higher accuracy, but its format overall remains the same. In other words, static data includes anything that was collected at a certain point in the past, and, thus, it does not necessarily reflect the true state of things in the present. Static data is any sales-related information that doesn’t change over time and is stored in the format it was initially recorded. To identify the strengths and weaknesses of each of these data types, and find out which one is better to use in B2B sales, we first need to give a clear definition of both static and dynamic data. If the static data type is already well-established in the B2B industry, dynamic data is somewhat of a new concept. The key to success here is having access to high-quality data, which can be either static or dynamic. This overwhelming amount of information people willingly leave behind when surfing from one page to another online has a huge still unrevealed potential for B2B organizations.īacked with the correct data, companies can address their audience more efficiently, build a customer-centric sales pipeline, and improve their business operations drastically. This is equal to storing 850 pages of a book each second. If the first couple of innovations seems to be generally accepted and widely used, the last one needs a bit more explanation.Įach person on our planet generates 1.7 MB of data every second of the day. There have been a few things that have caused a revolution in B2B sales during the last fifty years: cold calling centers, the invention of the internet, and access to data.
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