inefficiency and high costs are unavoidable problems for traditional telemarketing. Due to the need for a large amount of manpower for repetitive tasks such as data entry, making calls, and manual recording, the operating costs remain high. At the same time, due to the lack of intelligent auxiliary tools, marketers spend a lot of time in screening potential customers, arranging the order of calls, and following up sales leads,
resulting in low work efficiency. For example, marketers shop may need to manually make a large number of invalid calls, or spend a lot of time on the phone looking for customer information. These inefficient links not only increase the operating costs of the company, but also limit the size and output of the telemarketing team. In the modern business model that pursues high efficiency and low cost, these limitations of traditional telemarketing have weakened its competitiveness and urgently need transformation and upgrading.
Finally, the difficulty in tracking and optimizing results is the fatal weakness of traditional telemarketing. Without systematic data analysis tools, it is difficult for companies to accurately evaluate the actual results of telemarketing activities. For example, it is impossible to clearly know which marketing strategies are more effective, which customer groups have higher conversion rates, and which marketers perform better.