Methods for Creating Target Lists by Purpose That Can Be Used Immediately

basic information

In sales activities, the quality of the target list directly impacts the results of negotiations. A list created with vague criteria or intuition cannot achieve efficient sales activities. 'PROBiZZ' supports the systematic design of targets according to sales objectives. It can extract targets based on various conditions, not only by industry and area but also by company size, issue trends, and behavioral history. For example, in the new acquisition phase, it emphasizes behavioral data such as recent information gathering activities and advertising responses. For existing customers, it selects deepening targets based on contact frequency and service usage history. This eliminates wasted approaches and improves the results per hour for salespeople. 'PROBiZZ' enhances sales capabilities with a list creation process that combines reproducibility and efficiency. 【Strengths and Features】 ■ Support for designing target conditions according to objectives ■ Dynamic list updates possible through CRM and MA integration ■ Systematization of extraction rules that lead to sales results

Price information

At "PROBiZZ," we have prepared materials that summarize the support content and pricing structure for creating targeted lists based on specific purposes, along with concrete examples. If you are a person in charge considering improving sales accuracy or reducing man-hours, please take a look at the materials and check the details.

Delivery Time

Applications/Examples of results

- A company struggling with new customer acquisition clarified the conditions for prospective clients that suited them with the support of "PROBiZZ." By utilizing a list that combines behavioral data and attributes, the success rate of their approaches increased. - A company that was troubled by bias in their target approaches redefined their target conditions and designed segments. By regularly updating their list using MA and CRM, the priorities for sales became clear. - A company whose follow-up with existing customers was dependent on individuals introduced a deepening list based on service usage status and contact information. The conversion rate for cross-selling and upselling improved, successfully expanding their LTV.