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Demographic profile
Form of demographic analysis used by marketers
Form of demographic analysis used by marketers
A demographic profile is a form of demographic analysis in which information is gathered about a group to better understand the group's composition or behaviors for the purpose of providing more relevant services.
In business, a demographic profile is usually used to increase marketing efficiency. This is done by using gathered data to determine how to advertise products or services to specific audiences and identify gaps in marketing strategy. By focusing on a specific audience, a company can more efficiently spend advertising resources to maximize sales. This tactic is more direct than simply advertising on the basis that everyone is a potential consumer; while this may be true, it does not capitalize on the increased returns that more focused marketing can generate.
Traditional demographic profiling involves gathering information on large groups of people in order to identify common trends, such as changes in population size or composition over time. These trends can be identified by analyzing data gained through surveys, censuses, in-store purchase information, records, registries, and so on. Analysis of this information may promote change in services for a population subset, such as children, the elderly, or working-age people. Newer methods of collecting and using information for demographic profiling include target-sampling, quota-sampling, and door-to-door screening.
A comprehensive demographic profile is a powerful tool for marketing. Detailed information about potential customers provides insight into how to best sell them a product. The term "demographic profiling" is sometimes used as a euphemism for industrial espionage.
Methods
Historically, a census has been the most important tool when it comes to tracking demographic data such as population, births, deaths, and relationship status. The United States census was first introduced in 1790 and has been taken every 10 years since under constitutional law. While the questions in the US Census vary each decade, its aim is to quantifiable measure characteristics about the residents within its borders, such as marital status, age, sex, race, education status, employment status, and location. Even though the US Census is the most relied-on tool for collecting this information, it still has its flaws, such as overcount and undercount, which have caused controversy in previous years.
Metadata provides a modern method of constructing demographic profiles. Certain types of digital metadata are generated by a user's online behavior—such as which websites are frequently visited, the amount of time spent on each website, the website interactions or purchase history, and which other users were interacted with—and serve as a digital footprint. Metadata collection is so pervasive that businesses record most aspects of a user's online activity. Companies such as Google and Facebook make enormous profits through generating and processing metadata, which can then be used for targeted advertising. This process impacts the user's online experience, such as curating which ads are displayed or which websites are suggested.
Controversy
Metadata collection has proven to be a controversial topic, with concerns expressed over how and why detailed personal information is saved and used by businesses. To avoid future legislation limiting metadata collection, companies must act ethically and have people's privacy in mind when they target people for advertising.
An example of how this could become an issue is presented by Ewing et al. (2013), who proposed the idea of a virtual reality shopping programme. Within this programme, the shopper is greeted by a virtual attendant who knows them by name and suggests an array of suitable clothing options based on their past purchases. The shopper is delighted by the seamless nature of this shopping experience. However, when they try to pay with their credit card, the virtual attendee reveals an unreasonably detailed knowledge about the shopper's financial situation, such as their credit score, payment history, and financial responsibility. This example highlights the need for discretion in the extent to which information is gathered, and how it is applied.
World demographic profile (2017)
| 2017 |
|---|
| World Population |
| 10 Most Populated Countries (In Millions) |
| Age Structure |
| Dependency Ratio |
| Median age |
| Birth rate |
| Death rate |
| Maternal mortality |
| Sex ratio |
| Life Expectancy |
| Total Fertility Rate |
| Languages |
| Religions |
Source: CIA World Factbook
Demographic profiles of top 3 most populated countries
United States
| The United States | 2017 | |
|---|---|---|
| Population | ||
| Age Structure | ||
| Dependency Ratios | ||
| Population Growth Rate | ||
| Birth Rate | ||
| Death Rate | ||
| Net Migration | ||
| Sex Ratio | ||
| Infant Mortality | ||
| Ethnic Groups | ||
| Maternal Mortality | ||
| Education Expenditure | ||
| Languages | ||
| Religions | ||
| Total Fertility Rate | ||
| Life Expectancy at Birth |
Source: CIA World Factbook
China
| China | 2017 | |
|---|---|---|
| Population | ||
| Age Structure | ||
| Dependency Ratio | ||
| Population Growth | ||
| Death Rate | ||
| Birth Rate | ||
| Sex Ratio | ||
| Maternal Mortality | ||
| Infant Mortality | ||
| Life Expectancy | ||
| Total Fertility Rate | ||
| Ethnic Groups | ||
| Religions | ||
| Languages | ||
| Literacy |
Source: CIA World Factbook
India
| India | 2017 | |
|---|---|---|
| Population | ||
| Age Structure | ||
| Dependency Ratio | ||
| Population Growth | ||
| Birth Rate | ||
| Death Rate | ||
| Sex Ratio | ||
| Infant Mortality | ||
| Life Expectancy | ||
| Total Fertility Rate | ||
| Maternal Mortality | ||
| Ethnic Groups | ||
| Religions | ||
| Languages | ||
| Literacy |
Source: CIA World Factbook
References
References
- "Lesson 3: Creating a Demographic Profile".
- (August 1996). "Understanding demographic effects on marketing communications in services". International Journal of Service Industry Management.
- (2015). "A study on influence of demographic factors on customers' preference towards cosmetic products". Sumedha Journal of Management.
- "Tech Trends 2016: Understanding the driving forces behind the connected consumer".
- (8 December 2014). "New Approaches to Demographic Data Collection". Chinese Sociological Review.
- (1 December 2002). "Demographic profiling". Ubiquity.
- https://www.census.gov/prod/2001pubs/censr01-2.pdf{{full citation needed. (July 2020)
- "Why Big Data is a Small Idea: And why you shouldn't worry so much".
- Ewing, Tom. (2013). "Feel Nothing, Do Nothing: Unlocking the emotional secret of online spending".
- "The World Factbook – Central Intelligence Agency".
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