In a highly competitive market, it is inevitable to understand the market and make accurate forecasts to increase profitability. Purchase decision analysis and what-if cost analysis are crucial in achieving this goal. They provide regressive models to understand sales correlation and evaluate the effectiveness of campaigns.

To understand the impact of any change in price on the sale of any product, price elasticity analysis is highly useful. Often products with low price-elasticity offer promising opportunities with an impulse purchase. BI and sales analytics systems ensure that such information is considered while making price decisions for every product across web stores and outlets.

Sales analysis along with channel analysis and customer analysis helps in maintaining high-profit margins and reducing the cost of customer acquisition and retention.

Analyzing the channels also assists in making the right promotional strategies. This ensures that the right products are promoted at the right place that gives higher ROI. Targeted advertising also reduces overall spending.