CHAPTER 8
SITE SELECTION
CONVERSION NOTES
CASES AND ANCILLARY CASES
CASE 13: Hutch: Locating a New Store
Synopsis: This case deals with a large chain of popularly priced women's apparel stores that are generally located in small towns in the Southeast, Midwest, and eastern fringe of the Southwest. The company strategy is to sell to women between the ages of 18 and 40 who are in the lower-middle to middle income range. The principal issue is which of two available locations the manager should choose as the location for the next store. The manager is given information on the demographics, lifestyles, and income of the populations for the trade areas of the proposed locations. He is also provided with environmental information and descriptions of each center's characteristics.
The principal objective of this case is to give students an opportunity to use concepts learned in class to make location decisions. A second objective is to make students aware of the available secondary data sources obtainable from marketing research companies such as Claritas/UDS Data Services. Finally, the case encourages the use of both qualitative and quantitative information in the student's decision. This case should be used after students have been exposed to location strategies. The questions at the end of the case focus the student's attention on the proper sequence.
ANNOTATED OUTLINE | INSTRUCTOR NOTES | I. Location Decision Levels
Retail site selection is a very strategic decision. Once a location is chosen, a retailer must live with it for many years. Even if a retailer finds the "right" neighborhood, the wrong site can spell disaster.
The location decision can be broken into three levels: region, trade area, and specific site.
The region refers to the part of the country, a particular city, or Metropolitan Statistical Area (MSA).
An MSA is a city with 50,000 or more inhabitants or an urbanized are of at least 50,000 inhabitants and a total MSA population of at least 100,000 (75,000 in New England).
A trade area is a contiguous geographic area which accounts for the majority of a store’s sales and customers.
In making store location decisions, retailers must examine all three levels simultaneously.
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See PPT 8-3
| II. Factors Affecting the Demand for a
Region or Trade Area
To assess the overall demand in a particular region/market or trade area, the retail analyst considers economies of scale versus cannibalization, the population/s demographic and lifestyle characteristics, the business climate competition from other retailers in the area, and the retailer's propensity to manage multiple stores.
Locating in a trade area outside the retailer's home country requires the analyst to examine all these factors, plus additional issues such as differences in the legal, political, and cultural environment.
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See PPT 8-5, 8-6
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A. Economies of Scale versus Cannibalization
Since retail chains plan to go into an area with a network of stores, they attempt to achieve promotion and distribution economies of scale for all the multiple locations. The best number of stores to have in an area depends on ownership factors.
For company-owned stores, the objective is to maximize profits for the entire chain. In this case, the retailer would continue to open stores as long as the marginal revenues achieved by opening a new store are greater than the marginal costs.
For franchise operations, each individual franchise owner wants to maximize his or her profits. Some franchisors (owners of the franchise) grant their franchisees (owners of the individual stores) an exclusive geographical territory so that other stores under the same franchise do not compete directly with them.
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Ask students for examples of retail chains with multiple locations within, say, a 20-mile radius.
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B. Demographic and Lifestyle
Characteristics
In most cases, areas where the general population is growing are preferable to those with declining populations.
Size and composition of households in an area can also be important success determinants.
Lifestyle characteristics of the population may be relevant depending on the target market(s) a ticular retailer is pursuing.
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Ask students whether they would locate a new store in a new or a mature neighborhood. Answer depends on what type of store. Although students will initially say new, there is a lot to be said for stable mature neighborhoods.
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C. Business Climate
It is important to examine a market’s employment trends because a high level of employment usually means high purchasing power. Also it is useful to determine which areas are growing quickly and why.
Employment growth in and of itself isn’t enough to ensure a strong retail environment in the future. If growth isn’t diversified in a number of industries, the area may suffer from adverse cyclical trends.
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| D. Competition
The level of competition in an area also affects demand for a retailer’s merchandise. The level of competition can be defined as saturated, understored, or overstored.
A saturated trade area offers customers a good selection of goods and services, while allowing competing retailers to make a good profit.
An understored trade area is one that has too few stores selling a specific good or service to satisfy the needs of the population.
An overstored trade area is an area that has so many stores selling a specific good or service that some stores will fail.
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Ask students where they would want to locate, saturated, understored, or overstored.
| E. Span of Managerial Control
Some retailers focus on certain geographic regions or trade areas.
One advantage of having a regional orientation is that the company can maintain a loyal customer base. It has excellent visibility and is well known throughout the area.
Merchandising, pricing and promotional strategies specifically target the needs of a regional market rather than a national market.
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F. Global Location Issues
What makes global location decisions more difficult and potentially interesting is that those in charge of making these decisions are typically not as familiar with the nuances of the foreign location issues as they are with the same issues in their home country.
Real estate is where many grand global designs ultimately succeed or fail.
When it comes to picking an exact site within a foreign city, many retailers rush to their decisions with the right knowledge.
Occupancy costs in global cities, such as London, Paris and Tokyo, are extremely high. Retailers have to be extremely high-volume to survive.
Real estate restrictions also complicate international location decisions. Solutions occasionally demand a littler ingenuity and flexibility.
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Ask students what types of research they would do and how they would collect information when selecting a foreign retail location.
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III. Factors Affecting the Attractiveness of a Site
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See PPT 8-7
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A. Accessibility
The accessibility of a site is the ease with which a customer can get into and out of it. The accessibility analysis has two stages; a macro analysis followed by a micro analysis.
The macro analysis considers the primary trade area. To assess a site’s accessibility, the retailer simultaneously evaluates several factors, such as road patterns, road conditions, and barriers.
Road patterns refer to the major arteries and freeways for customers to travel to the site.
Road conditions refer to the age, number of lanes and stoplights, congestion and general state of repair of roads in the primary trade area.
Natural barriers, such as rivers or mountains, and artificial barriers, such as railroad tracks, major highways, or parks, may also affect accessibility.
The micro analysis concentrates on issues in the immediate vicinity of the site such as visibility, traffic flow, parking, congestion, and ingress/egress.
Visibility refers to customers' ability to see the store and enter the parking lot safely. Good visibility is less important for stores with established and loyal customers and for stores with limited market areas because customers know where the store is.
Traffic flow is important in that the site should have a substantial number of cars per day but not so many that congestion impedes access to the store.
Analyst can usually obtain data on the level of vehicular traffic from the regional planning commission, county engineer, or state highway department. But, due to adjustments that may need to be made for special situations, an “in-house” analysis may be easier and more accurate.
The amount and quality of parking facilities are critical to a shopping center’s overall accessibility. It’s hard to assess how many parking spaces are enough, although location analysts use parking ratios as a starting point.
Congestion can refer to the amount of crowding of either cars or people. Too much congestion can make shopping slow, irritate customers, and generally discourage sales. On the other hand, a relatively high level of activity in a shopping center creates excitement and can stimulate sales.
The last factor is ingress/egress -- the ease of entering and exiting the site’s parking lot.
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See PPT 8-8
Pick sites with of various levels of attractiveness. Then go through the issues involved in macro and micro analyses.
| B. Locational Advantages Within a
Center
Since the better locations cost more, retailers must consider their importance.
In a strip shopping center, the better locations are closest to the supermarket. A liquor store or a flower shop that may attract impulse buyers should thus be close to the supermarket.
In a regional multilevel shopping center, shopping goods stores like American Eagle Outfitters or Wet Seal may be clustered in the more expensive locations near a department store.
Another consideration is to locate stores that appeal to similar target markets close together. This is based on the principle of cumulative attraction in which a cluster of similar and complementary retailing activities will generally have greater drawing power than isolated stores that engage in the same retailing activities. This principle applies to both stores that sell complimentary merchandise and those that compete directly with one another.
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See PPT 8-9, PPT 8-10
Ask student, given cost considerations, where would you locate a florist or a shoe repair shop in a neighborhood shopping center.
Ask students why stores in antique malls seem to be more successful than antique stores surrounded by other types of stores.
| IV. Estimating Demand for a New Location
Retailers estimate the demand for a new location by defining its trade area and then estimating how much people within the trade area will spend.
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See PPT 8-11
| A. Trade Area
A trade area is a contiguous geographic area which accounts for the majority of a store’s sales and customers. Trade areas can be divided into two or three zones called polygons.
The primary zone is the geographic area from which the store or shopping center derives 60 to 65 percent of its customers.
The secondary zone is the geographic area of secondary importance in terms of customer sales, generating about 20 percent of a store’s sales.
The tertiary zone (the outermost ring) includes customers who occasionally shop at the store or shopping center. There are several reasons for the tertiary zone including a lack of adequate retail facilities closer to home, and excellent highway systems to the store or center, the store may be on the way to or from work, and the store or center is in or near a tourist area.
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See PPT 8-12
Pick a store or shopping center and have students define the trade area. Point out all the factors that shape the trade area. (These are listed below) Why isn’t it round? After they’ve defined the general boundaries, then get them to explain how they would determine the primary and secondary zones.
| B. Factors Defining Trade Areas
The actual boundaries of a trade area are determined by the store’s accessibility, natural and physical barriers, type of shopping area, type of store, and competition.
Trade area size is also influenced by the type of store or shopping area. The difference is due to the nature of the merchandise sold and the total size of the assortment offered.
Another way of looking at how the type of store influences the size of a trade area is whether or not it is a destination or a parasite store.
A destination store is one in which the merchandise, selection, presentation, pricing or other unique features act as a magnet for customers. In general, destination stores have larger trade areas than parasite stores.
A parasite store is one that does not create its own traffic and whose trade area is determined by the dominant retailer in the shopping center or retail area.
The level of competition also affects the size and shape of a trade area for a particular store. Trade areas may shrink for retailers offering identical merchandise to others, and expand for retailers offering complementary goods to those carried by other retailers.
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See PPT 8-13, PPT 8-14
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V. Sources of Information
Three types of information are required to define a trade area.
First, retailers use customer spotting to determine how many people are in the trade area and where they live.
Second, retailers use Decennial Census of the United States, demographic and GIS (geographical information system) data to describe their potential customer in an attempt to assess how much they will buy in the proposed trade area.
Finally, retailers use the Internet and other published resources to assess their competition.
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See PPT 8-15
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A. Customer Spotting
The purpose of the customer spotting technique is to spot, or locate, the residences of the customers for a store or shopping center.
This can be accomplished in a number of ways - credit card or check purchases, customer loyalty programs, or manually as part of the checkout process.
Another method is to record automobile license plates in the parking lot and trace them to the owner by purchasing the information from state governments or private research companies. This method is thought to be less accurate and is illegal in some states.
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See PPT 8-16
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B. Decennial Census of the United States
The Decennial Census of the United States is a complete source of information for making location decisions.
However, since the Census is taken only once every 10 years, it's often out of date and requires supplementary reports and updates by government agencies and private firms.
Census information include: number of persons per household, household relationships, sex, race, age, and martial status. Additionally, a report on each building identifies the number of housing units at the address, the status of plumbing facilities, the number of rooms, whether the dwelling is owner-occupied, the housing value, the rent, and the vacancy status.
The decennial census is available in many formats, including for areas as small as a city block or as large as the entire country.
Census tracts are subdivisions of an MSA with an average population of 4000. Because of their smaller size, they are more useful than MSAs for doing trade area or site analyses.
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See PPT 8-17
| C. Demographic Data and GIS Vendors
Demographic data vendors such as Claritas specialize in repackaging and updating census-type data in a format that is easy to understand, easy and quick to obtain, and relatively inexpensive.
Other firms, such as ESRI, Inc., specialize in Geographic Information Systems (GIS) - computerized systems that enable analysts to visualize information about their customers’ demographics, buying behavior, and other data in a map format.
Using GIS, analysts can identify the boundaries of a trade area and isolate target customers groups.
Major GIS firms (such as ESRI) offer a wide range of tools that are useful for assessing consumer demand in an area.
ACORN (A Classification of Residential Neighborhoods) is a market segmentation system that classifies neighborhoods in the United States into distinctive consumer groups, or market segments. Neighborhoods with the most similar characteristics are grouped together, while neighborhoods showing divergent characteristics are separated.
The market potential index (MPI) measures the likely demand for a product or service in a county, zip code, or other trade area.
The spending power index (SPI) compares the average expenditure in a particular area for a product to the amount spent on that product nationally.
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See PPT 8-18
Ask students why they would use a demographic data or GIS vendor when the Census information is free.
See PPT 8-19
| D. Measuring Competition
One of the powerful methods of measuring competition is over the Internet.
A more traditional method of accessing competitive information is through the Yellow Pages of the telephone book, also available on CD-ROM.
Other sources of competitive information are: directories published by trade association, chambers of commerce, Chain Store Guide, International Council of Shopping Centers, Urban Land Institute, local newspaper advertising departments, municipal and county governments, specialized trade magazines, and list brokers.
A relatively easy way of determining level of competition is to calculate total square footage of retail space devoted to a type of store per household. The higher the ratio, the higher the level of competition.
Competitive analyses are easiest for large chains selling commodity-type merchandise such as grocery stores.
These analyses are generally more difficult for retailers with few outlets who carry exclusive merchandise.
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See PPT 8-20, PPT 8-21, PPT 8-22
| VI. Methods for Estimating Demand
A number of complimentary analytical methods are used to measure the sales potential of trade areas. Three methods include the analog approach, multiple regression analysis and Huff’s Gravity Model, all described below.
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See PPT 8-23
| A. Analog Approach
The analog approach could just as easily be called the similar store approach. This is divided into three steps.
First, the current trade area is determined by using a technique known as customer spotting, described in an earlier section.
Second, based on the density of customers from the store, the primary, secondary, and tertiary trade area zones are defined.
Finally, the characteristics of a current store are matched with potential new store locations to determine the best site.
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See PPT 8-24, PPT 8-25, PPT 8-26, PPT 8-27, PPT 8-28, PPT 8-29, PPT 8-30, PPT 8-31, and PPT 8-32
| B. Regression Analysis
Regression analysis is a common method of defining retail trade area potential for retail chains with greater than 20 stores. Although multiple regression analysis uses logic similar to that of the analog approach, it uses statistics rather than judgement to predict sales for a new store.
The first two steps in multiple regression analysis are the same as those in the analog approach. But then, a mathematical equation is derived.
Using “canned” statistical packages, three steps are followed to develop the multiple regression equation:
1. Select appropriate measures of performance, such as per capita sales or market share.
2. Select a set of variables that may be useful in predicting performance.
3. Solve the regression equation and use it to project performance for future sites.
Regression analysis does have limitations. To be reliable, a large database is required. The analyst must be properly trained and must adhere to strict statistical procedures. Finally, since regression is an averaging technique, it seldom identifies extremely good or extremely poor potential locations.
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See PPT 8-33, PPT 8-34, PPT 8-35, PPT 8-36, PPT 8-37
| C. Huff’s Gravity Model
This model, following Newton’s law of gravity, is based on the premise that the probability that a given customer will shop in a particular store or shopping center becomes larger as the size of the store or center grows and the distance or travel time from customers to the store or center shrinks.
The objective of Huff’s approach is to determine the probability that a customer residing in a particular area will shop at a particular store or shopping center.
To forecast sales, the location analyst multiplies the probability that the customer will shop at a particular place by an estimate of the customer’s expenses. Then, all the estimated expenditures in an area are aggregated to estimate sales from the area.
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See PPT 8-38, PPT 8-39, PPT 8-40, PPT 8-41
Pick two shopping centers, one big and one small. Draw them on the board, and put an X in the middle. Ask students if the two centers were equidistant from where they lived, where would they shop and why. They would hopefully say they would shop at the bigger center because it has a bigger assortment. Now move the X closer to the smaller center and re-ask the question. As the X gets closer to the smaller center, the propensity of the students to shop at the smaller center will get larger. Now ask them if a close location is more important for convenience goods or specialty goods. Of course, it is more important for convenience goods. This explains the exponent.
| D. Choosing the Best Method(s)
If a combination of techniques is applied and the same conclusion is reached, the retailer should have more confidence in the decision.
The analog and Huff approaches are best when the number of stores with obtainable data is small, usually fewer than 30.
The regression approach, on the other hand, is best when there are multiple variables expected to explain sales.
Also, the Huff gravity model explicitly considers the attractiveness of competition and the distance or travel time of customers to the store or shopping center in question. Since the Huff's gravity model does not utilize demographic variables, it is particularly important to use it in conjunction with the analog or regression models.
Three trends will shape site selection research in the next few decades. First, it will be easier to collect and store data on customers in data warehouses. Second, advanced statistical modeling techniques, such as CHAID and spatial allocation models, will become more popular. Finally, GIS will become more sophisticated and at the same time more accessible to users.
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| VII. Summary |
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ANSWERS TO DISCUSSION QUESTIONS AND PROBLEMS
1. What are the shapes and sizes of the trade area zones of a shopping center near your school?
The specific shopping center chosen is dependent upon each student. No matter what the choice is, however, students should identify the primary, secondary, and tertiary zones. The factors to be considered include accessibility, shopping center type, and location of competing malls.
2. When measuring trade areas, why is the analog approach not a good choice for a retailer with several hundred outlets?
The analog approach could just as easily be called the similar store approach. This is divided into three steps. First, the current trade area is determined by using a technique known as customer spotting in which customers are identified and their locations are plotted on a map. Second, based on the density of customers from the store, the primary, secondary, and tertiary trade area zones are defined. Finally, the characteristics of a current store are matched with potential new store locations to determine the best site.
The common method of defining retail trade area potential for retail chains with greater than 20 stores is multiple regression analysis. Although multiple regression analysis uses logic similar to that of the analog approach, it uses statistics rather than judgment to predict sales for a new store. The first two steps in multiple regression analysis are the same as those in the analog approach. But then, a mathematical equation is derived. Using “canned” statistical packages, three steps are followed to develop the multiple regression equation:
Select appropriate measures of performance, such as per capita sales or market share.
Select a set of variables that may be useful in predicting performance.
Solve the regression equation and use it to project performance for future sites.
Since the analog approach is “manual,” rather than using computer-aided statistics, it is cumbersome to use when the retailer has more than 20 or so stores.
3. True-Value Hardware Stores plans to open a new store. Two sites are available and both in middle-income neighborhood centers . One neighborhood is 20 years old, and has been well maintained. The other has recently been built in a newly planned community. Which site is preferable for True-Value? Why?
Due to the high cost of home maintenance, middle-income neighborhoods are good candidates for a store such as True-Value. The neighborhood that is 20 years old is a good choice, because the homes there will need repairs and continual maintenance. Since the homes in this neighborhood have been well maintained, the indication is that the homeowners do need supplies that True-Value carries on a regular basis.
The newly planned community may also be a good location, since new homes also will require regular maintenance. In addition, True-Value will carry supplies that new homeowners need, such as picture hangers and other similar items. A new community also has the advantage of having a customer base that is not already loyal to any particular store. Thus, being the first hardware store may help them to develop a long-term customer base.
4. Trade areas are often described as concentric circles emanating from the store or shopping center. Why is this practice used? Suggest an alternative method. Which would you use if you owned a store in need of a trade area analysis?
In general, consumers would prefer to shop within their area(s) of primary residence so as to minimize travel and other times. The more a consumer has to travel to obtain a product, the more the actual physical and opportunity costs (of time) for the consumer- something the consumer would do only for lower priced products or for unique merchandise. Due to these shopping behaviors of most consumers, trading area polygons assume that a majority of the consumers would come to a store or center from areas closest to it, while number of consumers arriving at a store or center would decrease as with increasing distance from the store or center. The idea of concentric circles makes sense since consumers may arrive from any direction.
An alternate method could be to use city blocks especially in well-laid, planned or newer cities. Here, city squares could be used, since the major streets traversed run north-south and east-west.
Depending on the trade area being considered, either method could be used, but adapted to the specific region by considering the major roadways, travel conditions, natural and artificial barriers as well as the type of store for which the analysis is being done.
5. Marisol Perez is a graduate student at Florida State University. She is supporting herself by working at a mental hospital. Mary Petrey also lives in Tallahassee, Florida, but never went to college and works in a factory. Both make $20,000 per year, are single, and 21 years old. Would they be in the same ACORN cluster? How do you think they spend their disposable income?
ACORN is a market segmentation system that classifies neighborhoods in the United States into distinctive consumer groups, or market segments. Since Marisol and Mary come from different educational backgrounds and possibly, lead different lifestyles, we can speculate that Marisol and Mary do not live in the same ACORN neighborhood. ACORN assumes that basic characteristics of people within a block group, such as income, home value, occupation, education, household type, age and other key determinants of consumer behavior would be similar. In this case, Marisol and Mary differ on the important characteristics of education and occupation. Marisol with more of an upstanding job and college education might be living in a different block as compared with Mary, with a factory job and no college education.
How they spend their disposable income may also be different. Marisol will most likely spend her money more freely on clothing, high tech appliances, dining out and extra curricular activities. Mary will spend her income on more functional items.
6. Under what circumstances would a retailer use the analog approach for estimating demand for a new store? What about regression?
The analog approach is also called the similar store approach since it attempts to match the current store's trading area characteristics with potential new areas having similar characteristics. Retailers would use this approach when it is indeed possible to identify trading areas with similar characteristics. Also, the analog approach works best when a retailer has a relatively small number of outlets (say, 20 or fewer). As the number of stores increases, it becomes more difficult to organize the data in a meaningful way. The regression approach is best when there are multiple variables expected to explain sales, since it is difficult to keep track of multiple predictor variables when using a manual system like the analog approach. However, more number of data points (i.e., prior stores) are needed for the regression results to be reliable. Also, proper training is needed to run regression analysis and interpret the results. In general, the analog approach may provide a better qualitative assessment of good or poor potential locations, while the regression approach provides a quantitative average of potential in an area.
7. Burdines (a division of Federated Department Stores, Inc. ) has made a strategic decision to only operate in Florida. In fact, they are known as “The Florida store.” Evaluate this strategy.
By focusing in one area, specifically Florida, Burdines is able to have complete managerial and logistic control. There will be less errors, and more careful supervision. Second, Burdines will be located very close to their distribution center, cutting down on distribution costs. Third, there are large marketing benefits to concentrating in one area. Burdines is able to focus specific advertising and promotions to target Florida customers. By being only in the Florida area, their efforts can be concentrated on understanding specifically the Florida target market. Finally, Burdines will gain name recognition by being one of the only stores that specializes in that area.
8. Some Specialty stores prefer to locate to or close to an anchor store. But, Little Caesars, a take out pizza retailer typically found in strip centers, wants to be at the end of the center away from the supermarket anchor. Why?
Little Caesar’s prefers to locate away from the supermarket anchor for several reasons. In terms of parking, spaces in front of supermarkets are quite often the first places to be taken. By locating away from the anchor, Little Caesar’s assures its customers of convenient parking. Locations at the end of the center also are usually close, convenient and visible to the street. Visibility from the street is also important to Little Caesar’s.
9. Retailers have a choice of locating on a mall’s main floor or second or third level. Typically, the main floor offers the best, but most expensive locations. Why would specialty stores such as Radio Shack and Foot Locker choose the second or third floor?
These two stores are destination stores with a national reputation. When people are in the market for an electronic “dohickey” or athletic shoes, they will search out the stores that carry them. As such, the customer will be willing to walk to a second or third floor. Stores like these do not necessarily need to be in a highly visible area {with the highest rent).
10. A drugstore is considering opening a new location at shopping center A, with hopes of capturing sales from a new neighborhood under construction. Two other shopping centers located nearby, C and E, will provide competition. Using the following information and Huff's probability model, determine the probability that residents of the new neighborhood will shop at shopping center A.
Shopping center
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Size (000 Sq. Ft.)
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Distance from new Neighborhood (miles
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A
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3,500
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4
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C
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1,500
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5
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E
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300
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3
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Assume that b = 2 and NNR = New Neighborhood Resident
P(NNR/A) = 3,500 ÷ 4 2
(3,500 ÷ 4 2 ) + ( 1,500 ÷ 5 2) + (300 ÷ 32)
P(NNR/A) = 218.75
218.75 + 60 + 33.33
P(NNR/A) = .70 OR 70% probability that a resident of the new neighborhood will purchase drugstore products at a drugstore in Shopping Center “A.”
ANCILLARY LECTURES AND EXERCISES LECTURE # 9-1: PRISM TM : UNDERSTANDING CONSUMER BEHAVIOR AND LIFESTYLES
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Instructor’s Note: The purpose of this lecture is to supplement the annotated outline on PRIZM_ that appears in Chapter 9. After a brief introduction, it is suggested that the instructor ask the students what types of people live in the different segments. Instructors might want to use this lecture as a stimulus to a class discussion on the topic. Transparency Master 9-15 can be used with this lecture.
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Introduction
The consumer market has become increasingly fragmented and difficult to understand. Demographics alone do not fully explain why some people are good prospects and others are not.
PRIZM TM was developed by Claritas Corporation to help marketers analyze and describe consumer behavior and lifestyles.
PRIZM TM will make a trade area come alive, portraying it in a way that is easy to see and understand.
Through an extensive analysis of up-to-date demographics and actual consumer behavior, every neighborhood in the United States is assigned to one of 40 PRIZM TM clusters, or lifestyle groups.
Each cluster is named to provide instant recognition of the area and types of people living there.
The theory behind PRIZM TM is, in the words of the age-old saying, that “birds of a feather flock together.”
Once settled in a neighborhood, they tend to behave similarly in terms of the products they buy, the stores where they shop, and the broadcast and print media they read, hear, or watch.
Analyzing a PRIZM TM cluster report
The first step in analyzing a PRIZM TM report is to focus on the distribution of clusters in the trade area.
Which clusters have the highest concentration of households in the market area?
Are the dominant clusters from the same Social Groups?
If so, there will be some common denominators of lifestyles in the market.
Users of PRIZM TM need to be on the lookout for patterns that emerge from the mix of clusters in the trade area.
How to get more value from PRIZM TM
PRIZM TM is extremely valuable if businesses know which clusters are important to their business.
By PRIZM TM -analyzing a customer file, users will be able to:
See who the best customers are and how to reach them.
Compare the lifestyle clusters of the customer base as a whole to those of the individual trade areas.
Assess the potential demand in new markets by identifying areas with high concentrations of the clusters dominating the customer list.
See TM 9-15. Following is a complete listing of all PRIZM TM groups.
Agri-Business
Agri-Business is geo-centered in the Great Plains and mountain states.
These are, in good part, prosperous ranching, farming, lumbering, and mining areas.
Back-Country Folks
Back-Country Folks abounds in such remote rural towns, geo-centered in the Ozark and Appalachian uplands.
It is predominantly white, strongly blue-collar, and leads all clusters in concentration of mobile homes and trailers.
Black Enterprise
Black Enterprise neighborhoods are nearly 70% black, with median black household incomes well above average and with consumption behavior to match.
Blue Blood Estates
These are America’s wealthiest socioeconomic neighborhoods, populated by upper-class established managers, professionals, and heirs to “old money,” accustomed to privilege and living in luxurious surroundings.
Blue-Chip Blues
Blue-Chip Blues, ranked fourth in married couples with children, is similar to Young Suburbia on most dimensions save social rant, its predominant high school educations and blue-collar occupations being reflected in fewer high-end incomes and lower home values.
However, high employment and double incomes yield similar discretionary spending patterns, and make this cluster an outstanding market.
Blue-Collar Nursery
Blue-Collar Nursery leads the nation in craftsmen, the elite of the blue-collar world.
It is also first in married couples with children and households of three or more.
Bohemian Mix
Bohemian Mix is America’s Bohemia, a largely integrated, singles-dominated, highrise hodgepodge of white-collars, students divorced persons, actors, writers, artists, aging hippies, and races.
Coalburg & Corntown
Coalburg & Corntown fits a popular image of the Midwest, being concentrated in small peaceful cities with names like Terre Haute, Indiana and Lima, Ohio, surrounded by rich farmland, and populated by solid, blue-collar citizens raising sturdy, Tom Sawyer-ish children in decent front-porch houses.
Downtown Dixie-Style
Downtown Dixie-Style has a Southern geo-center, with high concentrations in three dozen Southern metros.
These middle-density urban neighborhoods are nearly 70% black.
Unemployment is high, with service occupations dominating amongst the employed portion of the labor force.
Emergent Minorities
Emergent Minorities is almost 80% black, the remainder largely composed of Hispanics and other foreign-born minorities.
The struggle for emergence from poverty is still evident in these neighborhoods.
Furs & Station Wagons
Furs & Station Wagons is typified by “new money,” living in expensive new neighborhoods in the greenbelt suburbs of the nation’s major metros, coast to coast.
These are well-educated, mobile professionals and managers with the nation’s highest incidence of teenage children.
God’s Country
God’s Country contains the highest socioeconomic status white-collar neighborhoods located primarily outside major metros.
These are well-educated frontier types who have opted to live away from the beg metros in some of our most beautiful mountain and coastal areas.
Golden Ponds
Golden Ponds includes hundreds of small, rustic towns and villages in coastal resort, mountain, lake, and valley areas, where seniors in cottages choose to retire amongst country neighbors.
Grain Belt
Grain Belt shows a higher concentration of working farm owners and less affluent tenant farmers.
Tightly geo-centered in the Great Plains and mountain states, these are the nation’s most stable and sparsely populated rural communities, with one in five of the nation’s farmers.
Gray Power
Primarily concentrated in sunbelt communities of the South Atlantic and Pacific regions, these are the nation’s most affluent elderly, retired, and widowed neighborhoods, with the highest concentration of childless married couples, living in mixed multi-units, condos, and mobile homes on non salaried incomes.
Hard Scrabble
Hard Scrabble neighborhoods represent our poorest rural areas.
Heavy Industry,
Heavy Industry is hard-hit by unemployment.
It is chiefly concentrated in the older industrial markets of the Northeastern U.S. quadrant and is very Catholic, with an above-average incidence of Hispanics.
These neighborhoods have aged and deteriorated rapidly during the past decade.
There are fewer children, and many broken homes.
Hispanic Mix
Hispanic Mix represents the nation’s Hispanic barrios.
These neighborhoods feature dense, row-house areas containing large families with small children, many headed by solo parents.
Levittown, U.S.A.
The children are now largely grown and gone.
Aging couples remain in comfortable, middle-class, suburban homes.
Employment levels are still high, including double incomes, and living is comfortable in Levittown, U.S.A.
Middle America
Middle America is composed of mid-sized, middle-class satellite suburbs and towns.
It is also centered in the Great Lakes industrial region, near the population geo-center of the United States.
Mines & Mills
Industry is king in Mines & Mills, including both light and heavy industry.
The cluster gathers hundreds of mining and mill towns scattered throughout the Appalachian mountains, from New England to the Pennsylvania-Ohio industrial complex and points south.
It ranks first in total manufacturing and blue-collar occupations.
Money & Brains
Money & Brains are typified by swank, shipshape townhouses, apartments, and condos.
Money & Brains has relatively few children and is dominated by childless couples and a mix of upscale singles.
New Beginnings
New Beginnings is represented in nearly all markets, but shows its strongest concentrations in the West.
It provides new homes to many victims of the divorce boom in search of new job opportunities and lifestyles.
The predominant age is 18-34; and the mode is pre-child, with employment concentrated in lower-level white-collar and clerical occupations.
New Homesteaders
New Homesteaders is much like God’s Country in its mobility, housing, and family characteristics.
The big difference is that these neighborhoods are nine rungs down on the socioeconomic scale, with all measures of education and affluence being significantly lower.
It shows peak concentrations of military personnel, and has a strong Western skew.
New Melting Pot
The original European stock of many old urban neighborhoods has given way to a new immigrant populations, often with Hispanic, Asian, and Middle-Eastern origins.
These trends have formed a “New” Melting Pot, which includes many traditional Melting Pot areas along with new immigrant neighborhoods.
As a result, New Melting Pot neighborhoods are situated in the major ports of entry on both East and West Coasts.
Norma Rae-Ville
Norma Rae-Ville is concentrated in the South.
These neighborhoods include hundreds of industrial suburbs and mill towns, a great many in textiles and other light industries.
They are country folk with minimal educations, a high index for blacks, and lead the nation in non-durable manufacturing.
Old Yankee Rows
Old Yankee Rows is well matched to New Melting Pot in age, housing mix, family composition , and income.
It is, however, dominated by high-school-educated Catholics of European origin and has comparatively few minorities.
These are well-paid, mixed blue- and white-collar areas, firmly geo-centered in the older industrial cities of the Northeast.
Pools & Patios
Pools & Patios once resembled Furs & Station Wagons, being upscale greenbelt suburbs in a late child-rearing mode.
But today, most of these children have grown and departed, leaving aging couples in empty nests too costly for young homemakers.
Good educations, high white-collar employment levels, and double incomes assure “the good life” in these neighborhoods.
Public Assistance
With 70% of its households black, Public Assistance represents the Harlems of America.
These are the nation’s poorest neighborhoods, with twice its unemployment level, and nine times its share of public assistance incomes.
Rank & file
Rank & file contains many traditional blue-collar family neighborhoods whose children have grown and departed, leaving an aging population.
This cluster shows high concentrations of protective-service and blue-collar workers living in aged duplex rows and multi-unit “railroad” flats.
It leads the nation in durable manufacturing.
Share Croppers
Share Croppers is deeply rooted in the heart of Dixie.
Traditionally, these areas were devoted to such industries as tenant farming, chicken breeding, pulpwood and paper milling, etc.
But sunbelt migration and a ready labor pool have continued to attract light industry and some population growth.
Shotguns & Pickups
Shotguns & Pickups aggregates hundreds of small, outlying townships and crossroad villages which serve the nation’s breadbasket and other rural areas.
It has large families with school-age children, headed by blue-collar craftsmen, equipment operators and transport workers with high school educations.
These areas are home to many dedicated outdoorsmen.
Single City Blues
This cluster represents the nation’s densely urban, downscale singles areas, found in most major markets, including those of the new West.
Many are located near city colleges, and the cluster displays a bi-modal education profile.
With very few children and its odd mixture of races, classes, transients, and night trades, Single City Blues could be described as the poor man’s Bohemia.
Smalltown Downtown
A hundred-odd years ago, our nation was laced with railroads and booming with heavy industry.
All along these tracks, factory towns sprang up to be filled with laborers in working-class row-house neighborhoods.
Many can be seen today in Smalltown Downtown, mixed with the aging.
Tobacco Roads
Tobacco Roads is found throughout the South from Virginia to Texas.
These areas are above average for children of all ages, nearly a third in single-parent households.
There is some light industry, but poor unskilled labor predominates.
Dependent upon agriculture, Tobacco Roads ranks at the bottom in white-collar occupations.
Towns & Gowns
Towns & Gowns contains hundreds of mid-scale college and university towns in non-metropolitan America.
The population is three-quarters locals (“towns”) to one quarter students (“gowns”), giving this cluster its name and unique profile.
It shows extreme concentrations of age 18-24 singles and students in group quarters, very high educational, professional, and technical levels in contrast with modest incomes and home values, and a taste for prestige products.
Two More Rungs
Just behind Pools & Patios in affluence, Two More Rungs has a high concentration of foreign-born European ethnics and is somewhat older, with even fewer children.
It is also more dense, with a higher incidence of renters in multiple-unit, high-rise housing, and has a northeastern geo-center.
Two More Rungs neighborhoods show a high index for professionals and somewhat conservative spending patterns.
Urban Gold Coast
Urban Gold Coast is altogether unique.
It is the post densely populated per square mile, with the highest concentration of one-person households in multi-unit, highrise buildings and the lowest incidence of auto ownership.
Other mosts: most white collar, most childless, and most New York.
Urban Gold Coast is the top in Urbania, a fit address for the 21 Club.
Young Influentials
Young Influentials are young metropolitan sophisticates, with exceptional high-tech, white-collar employment levels.
Double incomes afford high spending, and lifestyles are open, with singles, childless couples, and unrelated adults predominating in expensive one- and two-person homes, apartments and condos.
They are skewed to the new West.
Young Suburbia
Young Suburbia is found coast to coast in most major markets.
It runs to large, young families and ranks second in incidence of married couples with children.
These neighborhoods are characterized by their relative affluence and high white-collar employment levels. As a result, they are strong consumers of most family products.
[Source: PRIZM TM Clusters by Claritas Corporation, Urban Decision Systems brochure.]
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