[Problem Solving] Improving Target Accuracy through SQL Utilization

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By extracting the "truly high-purchase-intent segment" from customer data using SQL and narrowing down the target for initiatives, unnecessary costs can be reduced. Acquiring SQL skills enables you to analyze necessary data quickly and flexibly without relying on external vendors. You will be able to objectively evaluate the effectiveness of sales and marketing initiatives with data, allowing for a rapid PDCA cycle. Clear targeting criteria based on data will emerge, helping to standardize the variability in results among sales representatives. By analyzing customer behavior history and attribute data in a multifaceted way using SQL, you can devise approach strategies optimized for individual customers. As data literacy improves across the organization and data-driven decision-making becomes standardized, a strong corporate culture will take root. 【Strengths and Features】 ■ SQL utilization know-how specialized for sales and marketing ■ Comprehensive support from data extraction and analysis to initiative execution ■ Support for building a data-driven organization that eliminates dependency on individuals

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Is your company's "targeting weakness" leaving data untapped? 'PROBiZZ' has released a document summarizing methods to dramatically improve targeting accuracy using SQL. This document contains everything you need to extract high-quality customers using SQL and the steps to leverage this in your initiatives. Let's graduate from relying on intuition and experience in sales and achieve reliable results based on data. Download the document to discover the secrets to improving targeting accuracy with SQL.

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Applications/Examples of results

- A SaaS company that had been struggling with cost-effectiveness relying on traditional attribute-based targeting implemented support for utilizing SQL from 'PROBiZZ' and executed measures to extract high-probability purchasing segments from customer behavior history data, resulting in a 30% reduction in CPA for marketing initiatives. - A manufacturing company that had a large amount of customer data but was unable to utilize it implemented measures to establish data analysis skills across departments using SQL expertise from 'PROBiZZ', creating a system where sales representatives could independently identify high-priority leads, leading to an improvement in deal creation rates. - A service industry company aiming to break away from a highly personalized targeting strategy adopted support for building a data-driven organization from 'PROBiZZ' and executed measures to establish clear targeting rules based on SQL analysis, resulting in reduced variability in overall organizational performance and achieving stable growth.