Difference between revisions of "Market segmentation"
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==Introduction== | ==Introduction== | ||
− | + | With declining transit market share, increasing population, and swiftly evolving technology, transit agencies must begin thinking in innovative ways to find the balance between maximizing ridership and meeting the needs of those who depend most on transit. Transit agencies can use a market segmentation strategy to improve their competitiveness as well as better serve the needs of their customers. An effective strategy would: | |
− | |||
− | Transit agencies can use a market segmentation strategy to improve their competitiveness as well as better serve the needs of their customers. An effective strategy would: | ||
*Increase ridership (both by increasing the frequency of riding and attracting new riders). | *Increase ridership (both by increasing the frequency of riding and attracting new riders). | ||
*Increase transit's share of mode choice in your market. | *Increase transit's share of mode choice in your market. | ||
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*Enhance the image and reputation of public transportation to increase support for public funding | *Enhance the image and reputation of public transportation to increase support for public funding | ||
− | While transit agencies typically do not generally think in terms of profits and sales, they can still benefit from | + | While transit agencies typically do not generally think in terms of profits and sales, they can still benefit from market segmentation research. Researching the market can help agencies identify the needs and wants of individual customers and develop effective promotional strategies. |
+ | |||
+ | ==Market Segmentation== | ||
+ | The definition of a market segments: groups of people or organizations that are similar in terms of how they respond to a particular marketing mix or in other ways that are meaningful for marketing planning purposes. | ||
==Bases for Segmentation== | ==Bases for Segmentation== | ||
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For example, in 1995, the San Diego Association of Governments (SANDAG) and the Metropolitan Transit Development Board (MTDB) developed a market-based strategy to target potential riders in specific transit corridors. By focusing on the State Route 94 corridor, the MTDB found that even though the demographics in the corridor were well-suited for transit, ridership was lower than expected. Further research identified perceptions of safety as a key concern affecting ridership in the corridor. The MTDB developed a ridership guide to increase awareness of routes and safety precautions, and mailed the guide to over 20,000 households in the corridor; the results were a success, with ridership up in the corridor. The MTDB has since applied the strategy to other corridors. | For example, in 1995, the San Diego Association of Governments (SANDAG) and the Metropolitan Transit Development Board (MTDB) developed a market-based strategy to target potential riders in specific transit corridors. By focusing on the State Route 94 corridor, the MTDB found that even though the demographics in the corridor were well-suited for transit, ridership was lower than expected. Further research identified perceptions of safety as a key concern affecting ridership in the corridor. The MTDB developed a ridership guide to increase awareness of routes and safety precautions, and mailed the guide to over 20,000 households in the corridor; the results were a success, with ridership up in the corridor. The MTDB has since applied the strategy to other corridors. | ||
− | ===Market-defined | + | ===Market-defined Segmentation=== |
Market-defined segmentation uses actual market investigations, notably analysis of survey results. There are many variables that can be used to classify segments, including usage rates, disliked modes, life style, ethnicity, etc. Through a post hoc analysis, agencies can gain a better understanding of their market. For example, an agency might want to conduct surveys in advance of offering a new rail service, which could show the different types of travelers who might use the service, such as those who care only about functionality or others who prefer rail over bus. The agency can then better prepare marketing strategies and estimate ridership and revenue. | Market-defined segmentation uses actual market investigations, notably analysis of survey results. There are many variables that can be used to classify segments, including usage rates, disliked modes, life style, ethnicity, etc. Through a post hoc analysis, agencies can gain a better understanding of their market. For example, an agency might want to conduct surveys in advance of offering a new rail service, which could show the different types of travelers who might use the service, such as those who care only about functionality or others who prefer rail over bus. The agency can then better prepare marketing strategies and estimate ridership and revenue. | ||
− | ===Physical | + | ===Physical Attribute Segmentation=== |
− | |||
{| style="float: right;" border="1" | {| style="float: right;" border="1" | ||
!scope="row" width="200px" | Demographics | !scope="row" width="200px" | Demographics | ||
Line 38: | Line 38: | ||
|Religion||Social class | |Religion||Social class | ||
|} | |} | ||
+ | Demographic, socioeconomic, and geographic segmentation bases and variables provide important information about individuals within specific markets. This type of data is relatively easy to collect and less expensive than other forms of segmentation research. It is an essential part of route planning and relatively inexpensive to collect. Data describing the entire U.S. population in terms of these characteristics are readily and cheaply obtainable from government sources (e.g., Censuses of Population and Housing) as well as from some business publications (e.g., Sales and Marketing Management Annual Survey of Buy Power). | ||
+ | |||
Transit agencies use geodemographic information extensively, which is the description of demographics by geographic areas (such as by zip code). By looking at the variables shown in the table, transit agencies can identify areas with high transit dependence. | Transit agencies use geodemographic information extensively, which is the description of demographics by geographic areas (such as by zip code). By looking at the variables shown in the table, transit agencies can identify areas with high transit dependence. | ||
+ | |||
+ | ===Psychographic Segmentation=== | ||
+ | Psychographic segmentation looks at behavioral aspects, such as lifestyle choices, attitudes, and interests, and how those affect a customer's decision-making process. Psychographic information can help explain a person's mode choice, commitment to transit, perceptions and preferences. | ||
+ | |||
+ | For example, as part of Caltrans' TDM effort in the 1980s, the agency developed a Strategic Statewide Marketing Plan, which included a psychographic study. The study segmented the market into different categories based on survey respondents' demographics, lifestyle attitudes, and desired benefits from travel. The following table describes the segments they identified: | ||
+ | {| style="margin: 1em auto 1em auto;" border="1" | ||
+ | !scope="col" width="100px" | Segment | ||
+ | !scope="col" width="400px" | Characteristics | ||
+ | |- | ||
+ | |The Bold Beginners || | ||
+ | *Very frustrated with commute | ||
+ | *Would like an easier way to get to work | ||
+ | *Wiling to try something new | ||
+ | *Most likely to have carpooled, taken the bus, or biked | ||
+ | |- | ||
+ | |The Very Independents || | ||
+ | *Pragmatic and self-reliant. | ||
+ | *Need to maintain control and schedule flexibility. | ||
+ | *Hate wasting time / want to get there quickly. | ||
+ | *Unlikely to use alternative modes / most likely to drive alone | ||
+ | |- | ||
+ | |The Efficiency Driven|| | ||
+ | *Want an orderly, structured, and predictable life. | ||
+ | *Frustrated with the work commute. | ||
+ | *Hate wasting time. | ||
+ | *Most open to information about alternative modes | ||
+ | |- | ||
+ | |The Autopilots|| | ||
+ | *Not frustrated with commute; see it as part of their daily routine. | ||
+ | *"Get the job done" mentality. | ||
+ | *More Caucasians and older. | ||
+ | *Most likely to drive alone, least likely to use alternative modes | ||
+ | |- | ||
+ | |The Easy Goers|| | ||
+ | *Passive personality / easy going. | ||
+ | *Not concerned with mode image. | ||
+ | *Most likely to use alternative modes in future. | ||
+ | *Least likely to drive alone. | ||
+ | *Younger males, skilled labor and service workers | ||
+ | |} | ||
+ | Based on this research, Caltrans found the "Bold Beginners" to be the largest group and most open to transit. The "Easy Goers" segment was also selected as a target, because they could be captured with some special effort. | ||
+ | |||
+ | ===Other Segmentation Strategies=== | ||
+ | *Product-usage segmentation involves identifying riders based on usage, especially frequency of usage. It can be used to develop strategies to retain frequent riders, attract infrequent riders, and focus on neglected areas of the market. | ||
+ | |||
+ | *Benefit segmentation focuses on the reasons why customers buy. Unlike the other segmentation strategie, it focuses on causal factors rather than descriptive factors. It can help agencies better understand market situations, such as specific motivations that cause a customer to ride transit. |
Revision as of 21:09, 2 June 2013
Introduction
With declining transit market share, increasing population, and swiftly evolving technology, transit agencies must begin thinking in innovative ways to find the balance between maximizing ridership and meeting the needs of those who depend most on transit. Transit agencies can use a market segmentation strategy to improve their competitiveness as well as better serve the needs of their customers. An effective strategy would:
- Increase ridership (both by increasing the frequency of riding and attracting new riders).
- Increase transit's share of mode choice in your market.
- Efficiently allocate resources to markets that represent the greatest potential for change in light of
changes to the marketing mix.
- Enhance the image and reputation of public transportation to increase support for public funding
While transit agencies typically do not generally think in terms of profits and sales, they can still benefit from market segmentation research. Researching the market can help agencies identify the needs and wants of individual customers and develop effective promotional strategies.
Market Segmentation
The definition of a market segments: groups of people or organizations that are similar in terms of how they respond to a particular marketing mix or in other ways that are meaningful for marketing planning purposes.
Bases for Segmentation
Predetermined segmentation
Predetermined segmentation involves defining groups based on known characteristics, such as: transit dependent vs. choice riders, student commuters vs. work commuters, and residents of high-density areas vs. suburban residents.
For example, in 1995, the San Diego Association of Governments (SANDAG) and the Metropolitan Transit Development Board (MTDB) developed a market-based strategy to target potential riders in specific transit corridors. By focusing on the State Route 94 corridor, the MTDB found that even though the demographics in the corridor were well-suited for transit, ridership was lower than expected. Further research identified perceptions of safety as a key concern affecting ridership in the corridor. The MTDB developed a ridership guide to increase awareness of routes and safety precautions, and mailed the guide to over 20,000 households in the corridor; the results were a success, with ridership up in the corridor. The MTDB has since applied the strategy to other corridors.
Market-defined Segmentation
Market-defined segmentation uses actual market investigations, notably analysis of survey results. There are many variables that can be used to classify segments, including usage rates, disliked modes, life style, ethnicity, etc. Through a post hoc analysis, agencies can gain a better understanding of their market. For example, an agency might want to conduct surveys in advance of offering a new rail service, which could show the different types of travelers who might use the service, such as those who care only about functionality or others who prefer rail over bus. The agency can then better prepare marketing strategies and estimate ridership and revenue.
Physical Attribute Segmentation
Demographics | Socioeconomics |
---|---|
Population | Education |
Number of households | Occupation |
Household size | Income |
Age | Home ownership |
Religion | Social class |
Demographic, socioeconomic, and geographic segmentation bases and variables provide important information about individuals within specific markets. This type of data is relatively easy to collect and less expensive than other forms of segmentation research. It is an essential part of route planning and relatively inexpensive to collect. Data describing the entire U.S. population in terms of these characteristics are readily and cheaply obtainable from government sources (e.g., Censuses of Population and Housing) as well as from some business publications (e.g., Sales and Marketing Management Annual Survey of Buy Power).
Transit agencies use geodemographic information extensively, which is the description of demographics by geographic areas (such as by zip code). By looking at the variables shown in the table, transit agencies can identify areas with high transit dependence.
Psychographic Segmentation
Psychographic segmentation looks at behavioral aspects, such as lifestyle choices, attitudes, and interests, and how those affect a customer's decision-making process. Psychographic information can help explain a person's mode choice, commitment to transit, perceptions and preferences.
For example, as part of Caltrans' TDM effort in the 1980s, the agency developed a Strategic Statewide Marketing Plan, which included a psychographic study. The study segmented the market into different categories based on survey respondents' demographics, lifestyle attitudes, and desired benefits from travel. The following table describes the segments they identified:
Segment | Characteristics |
---|---|
The Bold Beginners |
|
The Very Independents |
|
The Efficiency Driven |
|
The Autopilots |
|
The Easy Goers |
|
Based on this research, Caltrans found the "Bold Beginners" to be the largest group and most open to transit. The "Easy Goers" segment was also selected as a target, because they could be captured with some special effort.
Other Segmentation Strategies
- Product-usage segmentation involves identifying riders based on usage, especially frequency of usage. It can be used to develop strategies to retain frequent riders, attract infrequent riders, and focus on neglected areas of the market.
- Benefit segmentation focuses on the reasons why customers buy. Unlike the other segmentation strategie, it focuses on causal factors rather than descriptive factors. It can help agencies better understand market situations, such as specific motivations that cause a customer to ride transit.