Viewing ○○ in Numbers: Methods for Creating Target Lists by Purpose

basic information

The sales list is the "starting point for results" that requires precision and structure according to its purpose, but it has become personalized in many companies. With 'PROBiZZ', we build effective lists tailored to sales objectives, creating an environment where the field can focus on achieving results. The shift from "just doing a lot" to "targeting for results" is realized through improved list accuracy. By combining AI with hypothesis design for targeting, it is possible to maximize metrics such as appointment rates and document open rates in selecting companies. As a result, the conversion rate for business negotiations has increased by 1.5 times, and the cost per result has improved by an average of 30%. The constructed lists are updated daily in conjunction with call logs and results, maintaining the freshness and accuracy of operations. Additionally, eliminating the need for manual creation processes leads to reduced training and handover workloads and enables faster organizational setup. 'PROBiZZ' provides a system that selects targets that lead to results "numerically" and enhances the probability of sales success. 【Strengths and Features】 ■ Optimally designs list structures according to sales objectives. ■ Links with calls and results to create a daily improvement cycle. ■ Provides comprehensive support from list construction to improvement.

Price information

"PROBiZZ" supports the design, construction, and improvement of target lists tailored to sales objectives, and can be implemented starting from around 500,000 yen per month. If you would like materials summarizing the mechanisms of list optimization linked to AI scoring and performance analysis, as well as case studies and the relationship with sales results, please feel free to contact us via the request form or inquiry form below.

Delivery Time

Applications/Examples of results

- For companies that were not achieving results in sales aimed at securing appointments and were dissatisfied with the accuracy of their lists: Extracted industries and sizes with high negotiation rates using AI and hypothesis design. The appointment rate improved by 1.8 times, and the number of calls was also reduced. - For companies where list creation was done manually and the content varied by sales representative: Established a system to template based on results, allowing anyone to utilize sales lists of uniform quality. - For companies that could not break down lists according to specific sales purposes (such as research or document sending) and were not achieving results: Automatically classified appropriate targets through purpose-based scoring, improving the cost per result by about 30%.