Effective sales department management is. How Sales AI Helped a key success factor for any bank, especially in the B2B segment. One of the large Russian banks specializing in real estate lending faced serious problems in this area. Despite numerous calls from managers, conversion remained low, causing dissatisfaction among shareholders. The management decided to conduct a call analysis, which revealed the lack of a system in the work of managers. The solution to the problem was the implementation of SalesAI, an innovative platform for call analysis. Thanks to this tool, the bank was able to automate the analysis, develop effective scripts and increase conversion. In this article, we will tell you in detail how SalesAI helped the bank put sales in order and improve the quality of customer service.
Low sales performance and shareholder dissatisfaction
The management of a bank specializing in B2B lending secured by real estate felt an acute problem with the sales department. Despite the fact that managers made many calls, the accurate cleaned numbers list from frist database conversion left. How Sales AI Helped much to be desired. Shareholders expressed dissatisfaction, believing that managers were ineffective, and their calls lacked a system and did not lead to the desired result.
The Importance of Sales Efficiency for a Bank
For a bank focused on long-term relationships with corporate clients, the effectiveness of the sales department was critical. Shareholder dissatisfaction caused by low conversion and hong kong data chaotic work of managers could lead to serious consequences, including a change in management and a revision of the development strategy.
Call analysis and solution search
In order to understand the situation and get an objective picture, the bank’s management resorted to listening to managers’ calls. The shareholders themselves were also involved in this process, which identity and trauma in paris 8 created additional tension in the sales department. Listening to calls confirmed the fears: dialogues were often unsystematic, managers did not always have full information about clients and their requests, which negatively affected sales efficiency.
The bank’s management understood that listening to calls by employees was an ineffective and non-scalable method. It was necessary to find a solution that would automate call analysis, obtain an objective assessment of their quality and identify growth points.