Tips for Creating Lists Using SQL in the Field

basic information

By utilizing SQL, the process of creating lists that used to take hours manually can now be completed in just a few minutes, allowing more time to be dedicated to core sales activities. Based on the "laws of success," we can narrow down to high-probability targets, which improves the conversion rate and order rate even if the number of approaches decreases. By logically analyzing past data for target selection, we can achieve a highly reproducible sales strategy that does not rely on experience or intuition. It becomes possible to extract complex high-quality customers by combining multiple conditions, enabling the identification of potential high-value transaction prospects. With improved accuracy in list creation, unnecessary approaches are reduced, leading to optimization of sales costs and improved cost-effectiveness. The marketing and sales departments can now have a common target definition based on data, strengthening inter-departmental collaboration. 【Strengths and Features】 ■ The principles of list creation through SQL utilization that directly link to sales results ■ Provision of SQL templates that enable high-precision target extraction ■ Tips for organizational embedding that eliminate the personalization of data utilization

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Are you still using a "wasteful sales list"? 'PROBiZZ' is currently offering a free resource on the "Success Principles of List Creation Using SQL." It thoroughly explains tips for instantly extracting high-precision targets with SQL queries, as well as successful case studies that dramatically increased deal conversion rates. Let's transform your list creation into a "system that produces results" using the principles in this resource. Download the material and ensure the maximization of your sales results through SQL.

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Applications/Examples of results

- An IT company that was wasting time on creating target lists in the sales department and had its operating hours compressed implemented a measure to build an automated list generation system using SQL under the guidance of 'PROBiZZ', eliminating waste in list creation and increasing sales activity time by 20%, thus improving operational efficiency. - A manufacturing company that could not effectively utilize past order data and had unclear priorities for target approaches executed a measure to analyze and extract common conditions of high-value customers using SQL with the support of 'PROBiZZ', optimizing its target strategy through a concentrated approach based on a high-accuracy list, resulting in a 10% increase in order rates. - A service company that relied on specific analysts for data utilization and had slow list creation speeds implemented a measure to share SQL query templates within the organization under the guidance of 'PROBiZZ', establishing a system where anyone could create lists, thereby breaking free from dependence on specific individuals and enhancing the speed of decision-making in the sales department, leading to the permeation of a data utilization culture.