[Latest Trends Report] Narrowing Down the Target! Techniques for Utilizing Sales Lists

basic information

Most of the sales results are determined by "who to approach," yet many on-site teams rely on intuition and past experiences. "PROBiZZ" systematizes the construction, operation, and improvement of lists that directly lead to results, achieving both efficiency and effectiveness. First, by using AI scoring and hypothesis design, we extract a group of companies with a high negotiation rate to build a highly accurate list. Next, we design hypothesis-based talks for that list and establish a system that allows for PDCA (Plan-Do-Check-Act) in conjunction with call results. As a result, the appointment rate improves by an average of 1.5 to 2 times, significantly enhancing the ROI of sales activities. Furthermore, through weekly improvements linked to performance data, the list is continuously refreshed to always target "those who are currently yielding results." With templated talks and list structures that can also be used for training, even newcomers can achieve results in a short period. "PROBiZZ" is the most reliable partner in target design, the starting point of sales activities. 【Strengths and Features】 ■ Extracts only companies with a high negotiation rate using AI and hypotheses. ■ Improves the list weekly in conjunction with calls and results. ■ Achieves reproducibility that anyone can use without personalization.

Price information

"PROBiZZ" consistently supports everything from target list building to KPI design and call improvement, and can be implemented starting at around 500,000 yen per month. We have prepared materials summarizing the performance data, case studies, and scope of support for companies that have implemented our service. If you are interested, please feel free to request the materials through the form below or contact us via the inquiry form.

Delivery Time

Applications/Examples of results

- For companies that relied entirely on their staff to select sales targets, resulting in inconsistent accuracy: switched to an AI × hypothesis design list, improving the appointment rate by approximately 1.7 times and eliminating the personalization of results. - For companies that wasted time making calls to large lists, with limited numbers leading to business negotiations: focused on the top 20% of companies through scoring, resulting in an approximately doubled number of daily business negotiations. - For companies where the target profile that yields results was not shared across departments, making organizational deployment difficult: shared a list structure based on performance data, establishing reproducibility of results across the organization.