4 MARKETING METRICS: Measuring Sales Force Effectiveness & Channel Management



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Transcription:

Sales Force and Channel Management This e-book deals with push marketing. It describes how marketers measure the adequacy and effectiveness of the systems that provide customers with reasons and opportunities to buy their products. The first sections discuss sales force metrics. Here, we list and define the most common measures for determining whether sales force effort and geographic coverage are adequate. We discuss pipeline analysis, which is useful in making sales forecasts and in allocating sales force effort to different stages of the selling process. Pipeline metrics are used to examine a sequence of selling activities, from lead generation, through follow-up, to conversion and sales. Although the most important of these represents the percentage of initial leads who ultimately buy, other measures of activity, productivity, efficiency, and cost can be useful at each stage of the selling process. In further sections of this e-book, we discuss measures of product distribution and availability. For manufacturers who approach their market through resellers, three key metrics provide an indication of listings the percentage of potential outlets that stock their products. These include numeric distribution, which is unweighted; ACV, the industry standard; and PCV, a category-specific measure of product availability. Marketing logistics tracking metrics are used to measure the operational effectiveness of the systems that service retailers and distributors. Inventory turns, out-of-stocks, and service levels are key factors in this area. 4 MARKETING METRICS: Measuring Sales Force Effectiveness

At the retail level, gross margin return on inventory investment (GMROII) and direct product profitability (DPP) offer SKU-specific metrics of product performance, combining movement rates, gross margins, costs of inventory, and other factors. Metric Construction Considerations Purpose 1. Workload Hours required to service clients and prospects. 1. Sales Potential Forecast This comprises the number of prospects and their buying power. 2. Sales Total Individual sales projections may be based on a salesperson s share of forecasted sales, on prior year sales and a share of increased district projections, or on a management-designed weighting system. Prospect numbers may be debatable. Time spent trying to convert prospects can vary by territory, salesperson, and potential client. Doesn t assess the likelihood of converting potential accounts. Definitions of buying power are more an art than a science. Setting individual targets on the basis of prior year sales can discourage optimal performance, as strong performance in one year leads to more aggressive targets in the next. To assess the number of salespeople required to service a territory and to ensure balanced workloads. To determine sales targets. Can also help identify territories worthy of an allocation of limited sales resources. To set targets for individual salespeople and for territories. 5 MARKETING METRICS: Measuring Sales Force Effectiveness

Effectiveness metrics analyze sales in the context of various criteria, including calls, contacts, potential accounts, active accounts, buying power of territory, and expenses. Depends on factors that also affect sales potential and workload. 3. Sales Force Effectiveness 4. Compensation Total payments made to a salesperson, typically consisting of base salary, bonus, and/or commission. 4. Break-Even Number of Employees 5. Sales Funnel, Sales Pipeline Sales revenue, multiplied by margin net of commission, divided by cost per staff member. Portrayal of the number of clients and potential clients at various stages of the sales cycle. Perceived relationship between incentive reward and controllable activities may vary widely among industries and firms. Margins may vary across products, time, and salespeople. Sales are not independent of the number of salespeople. Funnel dimensions depend on type of business and definition of potential clients. To assess the performance of a salesperson or team. To motivate maximum sales effort. To enable salespeople and management to track progress toward goals. To determine the appropriate personnel level for a projected sales volume. To monitor sales effort and project future sales. 6 MARKETING METRICS: Measuring Sales Force Effectiveness

6. Numeric Distribution 6. All Commodity Volume (ACV) 6. Product Category Volume (PCV) 6. Total Distribution 6. Facings Percentage of outlets in a defined universe that stock a particular brand or product. Numeric distribution, weighted by penetrated outlets share of sales of all product categories. Numeric distribution, weighted by penetrated outlets share of sales of the relevant product category. Usually based on ACV or PCV. Sums the relevant measures for each SKU in a brand or product line. Generally, an average of the total number of package views available in a typical stocking outlet. Outlets size or sales levels are not reflected in this measure. Boundaries by which distribution universe is defined may be arbitrary. Reflects sales of all commodities but may not reflect sales of the relevant product or category. Strong indicator of share potential but may miss opportunities to expand category. Strong indicator of the distribution of a product line, as opposed to an individual SKU. Reflects visibility at retail. May reflect inventory as well, depending on whether backroom inventory is available. penetrated its potential channels. access to retail traffic. access to established outlets for its category. To assess the extent to which a product line is available. To determine stocking levels and visibility within stores. 7. Out-of-Stock Percentage of outlets that list or normally stock a product or brand but have none available for sale. Out-of-stocks can be measured in Numeric, ACV, or PCV terms. To monitor the ability of logistics systems to match supply with demand. 7 MARKETING METRICS: Measuring Sales Force Effectiveness

Total amount of product or brand available for sale in a channel. 7. Inventories 8. Markdowns 8. Direct Product Profitability (DPP) 8. Gross Margin Return on Inventory Investment (GMROII) Percentage discount from the regular selling price. The adjusted gross margin of products, less direct product costs. Margin divided by the average dollar value of inventory held during a specific period of time. May be held at different levels and valued in ways that may or may not reflect promotional allowances and discounts. For many products, a certain percentage of markdowns are expected. Too few markdowns may reflect under-ordering. If markdowns are too high, the opposite may be true. Cost allocation is often imprecise. Some products may be intended not to generate profit but to drive traffic. Allowances and rebates must be considered in margin calculations. For loss leaders this measure may be consistently negative and still not present a problem. For most products, negative trends in GMROII are signs of future problems. To calculate ability to meet demand and determine channel investments. To determine whether channel sales are being made at planned margins. To identify profitable SKUs and realistically calculate their earnings. To quantify return on working capital invested in inventory. 8 MARKETING METRICS: Measuring Sales Force Effectiveness