The prospect database is the foundation for all marketing and sales operations in a B2B organisation. CRM, marketing automation, and sales enablement tools are all governed by this one source of truth. A prospect database must be created with the utmost care, given its importance via B2B Data Provider UK.
First, consider whether you need to outsource data processing
The process can be done in two ways. All processes are handled in-house first. It means that you collect and maintain the data yourself, clean it, and keep it up-to-date. It isn’t always possible for businesses to handle such tasks due to a lack of expertise or resources.
You'll need to have data collection tools, data analysts who can test quality, quality assurance personnel, etc. If you are apllling on building a moderately-sized database. Moreover, since data is constantly changing and needs to be updated, the cost will continue to rise.
Is your business partnership with your B2B Data Provider UK temporary?
Another option is to partner with a B2B Data Provider UK. Just let them know what kind of data you need and what your ICP is, and they will deliver it directly to your CRM. Having the best data engineers on their payroll also handles data quality and maintenance. The reason why most companies have B2B Database Providers nowadays is because of this.
Do you have quality data?
In terms of data, there is a difference between quality data and data that is not quality. If you follow the latter, you will grow upwards, whereas if you follow the former, you will stagnate or lose money. Unconvinced? According to Gartner, approximately 30% of businesses' revenue is lost because of bad data. Additionally, bad data can lead to businesses targeting the wrong customers, investing their time and money in the wrong places, and ultimately moving nowhere as a result.
In
order to do accurate B2B targeting, aligned communication, and improve
engagement, it is crucial to collect the right data about B2B prospects. Through
this, marketing qualified leads (MQL) can easily be converted into sales
qualified leads (SQL). The process enhances productivity by reducing employees'
time on data validation and finding the missing information.
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