Customer relationship management (CRM) is an approach to managing a company's interaction with current and future customers. The CRM approach tries to analyze data about customers' history with a company, in order to better improve business relationships with customers, specifically focusing on retaining customers, in order to drive sales growth. One important aspect of the CRM approach is the systems of CRM that compile information from a range of different channels, including a company's website, telephone, email, live chat, marketing materials, social media, and more. Through the CRM approach and the systems used to facilitate CRM, businesses learn more about their target audiences and how to best cater to their needs. However, the adoption of the CRM approach may also occasionally lead to favoritism within an audience of consumers, leading to dissatisfaction among customers and defeating the purpose of CRM
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CRM software consolidates customer information and documents into a single CRM database so business users can more easily access and manage it. The other main functions of this software include recording various customer interactions (over email, phone calls, social media or other channels, depending on system capabilities), automating various workflow processes such as tasks, calendars and alerts, and giving managers the ability to track performance and productivity based on information logged within the system.
On-premises CRM puts the onus of administration, control, security and maintenance of the database and information on the company itself. With this approach the company purchases licenses up front instead of buying yearly subscriptions. The software resides on the company's own servers and the user assumes the cost of any upgrades and usually requires a prolonged installation process to fully integrate a company's data. Companies with complex CRM needs might benefit more from an on-premises deployment.
The role of analytical CRM systems is to analyze customer data collected through multiple sources, and present it so that business managers can make more informed decisions. Analytical CRM systems use techniques such as data mining, correlation, and pattern recognition to analyze the customer data. These analytics help improve customer service by finding small problems which can be solved, perhaps, by marketing to different parts of a consumer audience differently. For example, through the analysis of a customer base's buying behavior, a company might see that this customer base has not been buying a lot of products recently. After scanning through this data, the company might think to market to this subset of consumers differently, in order to best communicate how this company's products might benefit this group specifically.