We Sell Everything in Software' WSES Inc. is a products company and specializes in software solutions for different industries such as defense, clinical research, consumer goods, capital markets, security, banks, and insurance among others. One of the divisions of WSES focuses on enterprise software product. Every quarter, Jack Williams, CEO had to give forecast of sales to the stakeholders for the enterprise software product division. The forecast which he had given for the last quarter was USD 2.4 billion whereas the actual sales booking was only USD 1.48 Billion. Jack wanted more accurate forecasting of sales and he had a discussion with Michael Summers, the CFO. Michael explained to Jack that this was something which was not in his hand since he was taking the numbers from Ben Osborne, Vice President of Marketing. Ben explained to Jack that the process they were following was taking the last quarter's sales and adding their estimate of 1.5% to it. Jack did not approve of this method. He felt that since WSES has such rich sales data over the years, they should be having a way to hear what the data is saying. They engaged Mark, with Ph.D. in Statistics, to understand if they could find a structured way to forecast the sales number based on historical data available with WSES.
We Sell Everything in Software (WSES) Inc. dealt with innovative off-the-shelf products and had a high growth trajectory. They had a healthy pipeline and their annual marketing spend of $500 million was allocated on the basis of conversion probabilities at flat 6% of the expected sales value. WSES did not have a structured approach for calculating sales conversion probabilities - it followed the gut feelings of its marketing and sales team. Therefore, it incurred high marketing cost including travel costs, client visits, time spent by the sales team/technical experts/support staff, and logistics costs. Jack, the CEO of WSES, was worried that despite having such a huge expenditure list, the sales conversion possibilities based on the pipeline was at best an ancillary information, as there was no substance in justifying the ''gut feeling''. Thus, Jack was not too convinced of this method and was exploring multiple options with Ben, Vice President, Marketing. Considering that WSES pursued around 1,000 opportunities every year, which they either won or lost, Jack felt the need to have these data that they had collated over the years validated and thereby interpreted. Thus, WSES engaged Mark with a Ph.D. in statistics to understand if they could determine a structured approach to compute conversion probabilities and devise an optimal way to allocate marketing spend such that even with significant reduction in marketing spend, the objectives on expected values on sales and profits were met.