The sales performance measures I would implement within a customer relationship management system would include the following. The revenue generated per salesperson, per territory, and as a percentage of sales quotas. I would have this information updated on a weekly basis, using it as a basis for incentives, and forecasting new quotas. Margins of profit by product category, customer segment or customer, with information updated monthly. This data would guide future product development, marketing focus for particular customer segments and customer follow-up to strengthen loyalty. I would update this information on a monthly basis. The number of sales calls per day, time spent per contact and average revenue generated per call vs. cost per call. This data could be used to streamline marketing processes making them more efficient and creation of more effective means of customer interaction. Data on the percentage of goods returned, and for what reason and number and type of customer complaints. This information would be some of the most important helping to solve problems with the product itself while also discovering the source of customer dissatisfaction. I would update this information on a weekly basis. Both presale and post sale information would be contained within a database to support analytical customer relationship management processes, leading to business intelligence for product development, and tracking customer behavior to identify future opportunities. In this way a business can attract new customers, keep current customers satisfied and transform minor customers into more profitable ones by managing their relationships with their clients.