5 The Strategic Role of Information in Sales Management McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
IT in Perspective Source: HR Chally Group (2007), The Chally World Class Excellence Research Report: The Route to the Summit. Dayton, OH: HR Chally Group. Tools enable rather than transform Implement successful business processes Support w/new technology Late 19 th Century Mid 20 th Century Late 20 th Century 5-2
Market potential, sales potential, and sales forecasting process
5-4 Discuss differences between market potential, sales potential, sales forecast, and sales quota Understand methods by which sales managers develop sales forecasts Outline process of setting a sales quota Explain types of quotas used in sales management Discuss approaches to determining sales force size Describe sales territory design process Understand importance of sales analysis Conduct sales analysis
5-5 Information for Managers Sales forecasts Territory estimates Quotas Sales force size Sales territory design
5-6 Market Opportunity Analysis Market potential – estimate of possible sales for an entire industry in a market during a stated period under ideal conditions Sales potential – portion of market potential the firm can expect to reasonably achieve Sales forecast – estimate of dollar or unit sales for a specified future period Sales quotas – sales goals assigned to a marketing unit to manage sales efforts
Classification of sales forecasting methods
5-8 Subjective Sales Forecasting User expectations – relies on buyers’ expressed intention Sales force composite – sales force opinions Jury of executive opinion - key experts’ opinions Delphi technique – participants prepare estimates which are compared anonymously and iteratively to reach consensus
5-9 Objective Sales Forecasting Market test – places product in select areas Time series analysis – relies on historical data to develop predictions Statistical demand analysis – attempts to determine the relationship between sales and factors that influence sales
5-10 Objective Time Series Analysis Moving average – averages sales results over previous time periods to forecast Exponential smoothing – type of moving average where most recent years given more weight Decomposition – applied to monthly or quarterly data where seasonal pattern is evident
Forecasting Techniques SubjectiveObjective User expectationsMarket test sales force compositeTime series analysis Jury of executive opinionStatistical demand analysis Delphi technique
Example of a moving average forecast
Graph of actual and forecast sales using moving averages
Calculation of a seasonal index
5-15 Choosing a Forecasting Method No method remains superior under all conditions. Apply multiple forecasting methods to a problem Scenario planning prepares “what-if” questions and produces possible outcomes
5-16 Effects of Territory Estimates Design of sales territories Procedures for identifying potential customers Establishment of sales quotas Compensation and subcomponents Evaluation of salesperson performance
5-17 Planning Tools North American Industry Classification System (NAICS) Developed by US Bureau of the Census, Organizes reporting of business information Each U.S. industry is assigned a two-digit number Buying Power Index (BPI) Published by Sales Marketing Management Magazine Considers income, population and retail sales Most useful with low-priced convenience goods
5-18 Sales Quotas Goals assigned to salespeople Apply to specific periods Tool for planning and controlling field selling activities and results Benchmark for evaluating sales effectiveness Motivate sales people
5-19 Process for Setting Quotas Identify types of quotas to be used Select level of each type of quota
5-20 Quota Purposes Provide incentives for sales representatives Provide measures to evaluate salespeople’s performance
5-21 Good Quota Characteristics Attainable Easy to understand Complete Timely
5-22 Quota Types Sales volume - emphasize sales or some aspect of sales Activity - focus on certain sales activities Financial - examine financial criteria such as gross margin or contribution to overhead
5-23 Sales Volume Quotas Most popular Often based on past sales Related directly to market potential, thus credible and easily understood May be expressed in dollars, physical units, or points
5-24 Activity Quotas Reflect territorial conditions Require a detailed analysis of work required for effective territorial coverage Customers influence activity quotas through: Account and order size Purchasing patterns Support required for satisfaction
Common types of activity quotas Number of… 1. Calls on new accounts. 2. Letters to potential customers. 3. Proposals submitted. 4. Field demonstrations arranged. 5. Service calls made. 6. Equipment installations supervised. 7. Displays arranged. 8. Dealer sales meetings held. 9. Meetings and conventions attended. 10. Past-due accounts collected.
5-26 Financial Quotas Direct salespeople to more profitable products and customers Common bases Gross margin Net profit Selling expenses Calculation not straight-forward Profit produced affected by factors beyond a salesperson’s control
5-27 Quota Level Considerations Territory available potential Quota’s impact on motivation Long-term company objectives Short-term profitability impact
5-28 Sales Force Deployment Considerations Sales force size or number of territories Design of individual territories Allocation of total selling effort to accounts Simultaneous decisions implemented through software
5-29 Determining Sales Force Size Breakdown method Workload method Incremental method
5-30 Breakdown Method (N)umber of sales personnel needed Estimated (P)roductivity of each salesperson Forecasted (S)ales volume =
5-31 Workload Method Total # salespeople required # Hours available to each salesperson Total # hours required to service market =
Steps to determine sales force size by the workload method
5-33 Incremental Method Add salespeople until incremental profit produced equals incremental cost Decreasing returns associated with addition of salespeople
Stages in territory design
5-35 Sales Analysis Gathering, classifying, comparing, studying company sales data Highlights sales concentration in products, customers, orders, territories 80:20 principle Decisions Evaluation system Sources of information Information aggregation type
5-36 Evaluation Systems Determine how analysis will be conducted Simple Comparative Basis for comparison? Reporting and control system?
Differences between simple sales analysis and comparative analysis
5-38 Sources of Information Decisions Types of comparisons Integration of sales reports with other reports Sales invoice ERP – links bid estimation, order entry, shipping, billing, other work processes Sales Invoice Information Customer name, location Products, services sold Transaction volume, dollar amount Salesperson/agent Product end use Shipping/use location Industry, trade class, distribution channel Terms of sale, discount Freight costs Shipment point Shipping transportation
Other sources of information for sales analysis Sales analysis Cash register receipts Salesperson call reports Salesperson expense accounts Individual customer/ prospect records Financial records Credit memos Warranty cards
5-40 Information Aggregation Type Possible groupings Region Product Customer Market Method of sale Order size Financial arrangement Considerations Company size Product diversity Sales area Number of markets/customers Management level/type to receive report Hierarchical reports most effective