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Market segmentation is a marketing strategy that involves dividing a broad target market into subsets of consumers, businesses, or countries who have common needs and priorities, and then designing and implementing strategies to target them. Market segmentation strategies may be used to identify the target customers, and provide supporting data for positioning to achieve a marketing plan objective. Businesses may develop product differentiation strategies, or an undifferentiated approach, involving specific products or product lines depending on the specific demand and attributes of the target segment.

Geographic Segmentation[edit]

Marketers can segment according to geographic criteria—nations, states, regions, countries, cities, neighborhoods, or postal codes. The geo-cluster approach combines demographic data with geographic data to create a more accurate or specific profile.[1] With respect to region, in rainy regions merchants can sell things like raincoats, umbrellas and gumboots. In hot regions, one can sell summer clothing. A small business commodity store may target only customers from the local neighborhood, while a larger department store can target its marketing towards several neighborhoods in a larger city or area, while ignoring customers in other continents. Geographic Segmentation is important and may be considered the first step to international marketing, followed by demographic and psychographic segmentation. The use of national borders is the institutional use of geographic segmentation, although geographic segments may be classified by identified geological regions.

Demographic Segmentation[edit]

Segmentation according to demography is based on variables such as age, gender, occupation and education level [2] or according to perceived benefits which a product/service may provide. Benefits may be perceived differently depending on a consumer's stage in the life cycle. Demographic segmentation divides markets into different life stage groups and allows for messages to be tailored accordingly.[3]

Behavioral Segmentation[edit]

Behavioral segmentation divides consumers into groups according to their knowledge of, attitude towards, usage rate, response,[4] loyalty status, and readiness stage[5] to a product. There is an extra connectivity with all other market related sources.

Psychographic Segmentation[edit]

Psychographic segmentation, which is sometimes called Lifestyle. This is measured by studying the activities, interests, and opinions (AIOs) of customers. It considers how people spend their leisure,[6] and which external influences they are most responsive to and influenced by. Psychographic is highly important to segmentation, because it identifies the personal activities and targeted lifestyle the target subject endures, or the image they are attempting to project. Mass Media has a predominant influence and effect on Psychographic segmentation. Lifestyle products may pertain to high involvement products and purchase decisions, to speciality or luxury products and purchase decisions.

Segmentation by benefits[edit]

Segmentation can take place according to benefits sought by the consumer/customer.

Cultural Segmentation[edit]

Cultural Segmentation[7] is used to classify markets according to cultural origin. Culture is a strong dimension of consumer behaviour and is used to enhance customer insight and as a component of predictive models. Cultural segmentation enables appropriate communications to be crafted to particular cultural communities, which is important for message engagement in a wide range of organisations, including businesses, government and community groups. Cultural Segmentation can be applied to existing customer data to measure market penetration in key cultural segments by product, brand, channel as well as traditional measures of recency, frequency and monetary value. These benchmarks form an important evidence-base to guide strategic direction and tactical campaign activity, allowing engagement trends to be monitored over time.

Cultural Segmentation can also be mapped according to state, region, suburb and neighbourhood. This provides a geographical market view of population proportions and may be of benefit in selecting appropriately located premises, determining territory boundaries and local marketing activities.

Census data is a valuable source of cultural data but cannot meaningfully be applied to individuals. Name analysis (onomastics) is the most reliable and efficient means of describing the cultural origin of individuals. The accuracy of using name analysis as a surrogate for cultural background in Australia is 80-85%,[8] after allowing for female name changes due to marriage, social/political reasons or colonial influence. The extent of name data coverage[9] means a user will code a minimum of 99 percent of individuals with their most likely ancestral origin.

Multi-Variable Account Segmentation[edit]

In Sales Territory Management, using more than one criterion to characterize the organization’s accounts,[10] such as segmenting sales accounts by government, business, customer, etc. and account size/duration, in effort to increase time efficiency and sales volume.

Using segmentation in customer retention[edit]

The basic approach to retention-based segmentation is that a company tags each of its active customers with four values:

Is this customer at high risk of canceling the company's service?

One of the most common indicators of high-risk customers is a drop off in usage of the company's service. For example, in the credit card industry this could be signaled through a customer's decline in spending on his or her card.

Is this customer at high risk of switching to a competitor to purchase product?

Many times customers move purchase preferences to a competitor brand. This may happen for many reasons those of which can be more difficult to measure. It is many times beneficial for the former company to gain meaningful insights, through data analysis, as to why this change of preference has occurred. Such insights can lead to effective strategies for winning back the customer or on how not to lose the target customer in the first place.

Is this customer worth retaining?

This determination boils down to whether the post-retention profit generated from the customer is predicted to be greater than the cost incurred to retain the customer.[11][12]

What retention tactics should be used to retain this customer?

For customers who are deemed worthy of saving, it is essential for the company to know which save tactics are most likely to be successful. Tactics commonly used range from providing special customer discounts to sending customers communications that reinforce the value proposition of the given service.

Price discrimination[edit]

Main article: Price discrimination

Where a monopoly exists, the price of a product is likely to be higher than in a competitive market and the price can be increased further if the market can be segmented with different prices charged to different segments charging higher prices to those segments willing and able to pay more and charging less to those whose demand is price elastic. The price discriminator might need to create rate fences that will prevent members of a higher price segment from purchasing at the prices available to members of a lower price segment. This behavior is rational on the part of the monopolist, but is often seen by competition authorities as an abuse of a monopoly position, whether or not the monopoly itself is sanctioned. Areas in which this price discrimination is seen range from transportation to pharmaceuticals.[13] Price discrimination may be considered price-fixing under the control of an oligopoly or consortium in certain circumstances of deregulation and leisure.

Algorithms and approaches[edit]

Any existing discrete variable is a segmentation - this is called "a priori" segmentation, as opposed to "post-hoc" segmentation resulting from a research project commissioned to collect data on many customer attributes. Customers can be segmented by gender ('Male' or 'Female') or attitudes ('progressive' or 'conservative'), but also by discretized numeric variables, such as by age ("<30" or ">=30") or income ("The 99% (AGI<US $300,000)" vs "The 1% (AGI >= US $300,000)").

Common statistical techniques for segmentation analysis include:

Divide and Rule Political Concept[edit]

In politics and sociology, divide and rule (or divide and conquer) is gaining and maintaining power by breaking up larger concentrations of power into pieces that individually have less power than the one implementing the strategy. The concept refers to a strategy that breaks up existing power structures and prevents smaller power groups from linking up.

See also[edit]

References[edit]

  1. ^ 'What is geographic segmentation' Kotler, Philip, and Kevin Lane Keller. Marketing Management. Prentice Hall, 2006. ISBN 978-0-13-145757-7
  2. ^ Reid, Robert D.; Bojanic, David C. (2009). Hospitality Marketing Management (5 ed.). John Wiley and Sons. p. 139. ISBN 9780470088586. Retrieved 2013-06-08. [...] market segmentation can be based on the benefits that consumers are seeking when they purchase a product. 
  3. ^ Riley, Jim (2012-09-23). "Market Segmentation - Demographics". Tutor2u.net. Retrieved 15 July 2014. 
  4. ^ Fripp, Geoff.“Market Segmentation Bases” Market Segmentation Study Guide
  5. ^ Marketing Padawan Designing Marketing Strategies With the Help of STP
  6. ^ "Market Segmentation and Targeting". Academic.brooklyn.cuny.edu. 2011. Retrieved 15 July 2014. 
  7. ^ Dove, Michael (2013-09-05). "Cultural Segmentation - Customer Segmentation". OriginsInfo.com.au. Retrieved 6 October 2014. Cultural Segmentation
  8. ^ Dove, Michael (2013-09-05). I have census data. How does Origins add value? "Data Reliability". OriginsInfo.com.au. Retrieved 8 October 2014. 
  9. ^ Dove, Michael (2013-09-05). "Cultural Segmentation - How Does Origins Work". OriginsInfo.com.au. Retrieved 6 October 2014. 
  10. ^ "CHAPTER 14 - Time, Territory, and Self-Management: Keys to Success". People.tamu.edu. Retrieved 15 July 2014. 
  11. ^ Gupta, Sunil. Lehmann, Donald R. Managing Customers as Investments: The Strategic Value of Customers in the Long Run, pages 70-77 (“Customer Retention” section). Upper Saddle River, NJ: Pearson Education/Wharton School Publishing, 2005. ISBN 0-13-142895-0
  12. ^ Goldstein, Doug. “What is Customer Segmentation?” MindofMarketing.net, May 2007. New York, NY.
  13. ^ Bhanji, Shaira (2 April 2012). "Price Discrimination in Pharmaceutical Companies: The Method to the "Madness"". Harvard College Global Health Review. Retrieved 15 July 2014. 

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