Trading-Area Analysis

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Presentation transcript:

Trading-Area Analysis Chapter 9 Trading-Area Analysis RETAIL MANAGEMENT: A STRATEGIC APPROACH, 9th Edition BERMAN EVANS

Chapter Objectives To demonstrate the importance of store location for a retailer and outline the process for choosing a store location To discuss the concept of a trading area and its related components To show how trading areas may be delineated for existing and new stores

Chapter Objectives_2 To examine three major factors in trading-area analysis Population characteristics Economic base characteristics Competition and level of saturation

Location, Location, Location Criteria to consider include population size and traits competition transportation access parking availability nature of nearby stores property costs length of agreement legal restrictions

Figure 9.1 Importance of Location to Esprit

Choosing a Store Location Step 1: Evaluate alternate geographic (trading) areas in terms of residents and existing retailers Step 2: Determine whether to locate as an isolated store or in a planned shopping center Step 3: Select the location type Step 4: Analyze alternate sites contained in the specific retail location type

Trading-Area Analysis A trading area is a geographic area containing the customers of a particular firm or group of firms for specific goods or services

Benefits of Trading Area Analysis Discovery of consumer demographics and socioeconomic characteristics Opportunity to determine focus of promotional activities Opportunity to view media coverage patterns Assessment of effects of trading area overlap Ascertain whether chain’s competitors will open nearby Discovery of ideal number of outlets, geographic weaknesses Review of other issues, such as transportation

Figure 9.2 The Trading Areas of Current and Proposed Outlets

GIS Software Geographic Information Systems digitized mapping with key locational data to graphically depict trading-area characteristics such as population demographics data on customer purchases listings of current, proposed, and competitor locations

Figure 9.3a The TIGER Map Service

Figure 9.3b The TIGER Map Service

Figure 9.4 GIS Software in Action - A

Figure 9.4 GIS Software in Action - B

Private Firms Offering Mapping Software Claritas ESRI GDT GeoVue Mapinfo SRC

Figure 9.5 The Segments of a Trading Area

Figure 9.6 Delineating Trading-Area Segments

The Size and Shape of Trading Areas Primary trading area - 50-80% of a store’s customers Secondary trading area - 15-25% of a store’s customers Fringe trading area - all remaining customers

Destinations versus Parasites Destination stores have a better assortment, better promotion, and/or better image It generates a trading area much larger than that of its competitors Dunkin’ Donuts: “It’s worth the trip!” Parasite stores do not create their own traffic and have no real trading area of their own These stores depend on people who are drawn to area for other reasons

Trading Areas and Store Type Largest TRADING AREAS Smallest Department stores Supermarkets Apparel stores Gift stores Convenience stores

Figure 9.7 Carrefour Shanghai

The Trading Area of a New Store Different tools must be used when an area must be evaluated in terms of opportunities rather than current patronage and traffic patterns Trend analysis Consumer surveys Computerized trading area analysis models

Computerized Trading-Area Analysis Models Analog Model Regression Model Gravity Model

Reilly’s Law Reilly’s law of retail gravitation, a traditional means of trading-area delineation, establishes a point of indifference between two cities or communities, so the trading area of each can be determined

Limitations of Reilly’s Law Distance is only measured by major thoroughfares; some people will travel shorter distances along cross streets Travel time does not reflect distance traveled. Many people are more concerned with time traveled than with distance Actual distance may not correspond with perceptions of distance

Huff’s Law Huff’s law of shopper attraction delineates trading areas on the basis of product assortment (of the items desired by the consumer) carried at various shopping locations, travel times from the shopper’s home to alternative locations, and the sensitivity of the kind of shopping to travel time.

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Population Size and Characteristics Total size and density Age distribution Average educational level Percentage of residents owning homes Total disposable income Per capita disposable income Occupation distribution Trends

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Availability of Labor Management Management trainee Clerical

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Closeness to Sources of Supply Delivery costs Timeliness Number of manufacturers Number of wholesalers Availability of product lines Reliability of product lines

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Economic Base Dominant industry Extent of diversification Growth projections Freedom from economic and seasonal fluctuations Availability of credit and financial facilities

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Competitive Situation Number and size of existing competition Evaluation of competitor strengths and weaknesses Short-run and long-run outlook Level of saturation

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Availability of Store Locations Number and type of store locations Access to transportation Owning versus leasing opportunities Zoning restrictions Costs

Table 9.1 Chief Factors to Consider in Evaluating Retail Trading Areas Regulations Taxes Licensing Operations Minimum wages Zoning

Figure 9.8 Analyzing Retail Trading Areas

Elements in Trading-Area Selection Economic Base Characteristics Population Characteristics Nature and Saturation of Competition

Figure 9.9 The Census Tracts of Long Beach, NY

Table 9.3 Selected Population Statistics for Trading Areas A and B