Demographic Data APAC - Age & Gender (1st Party Data w/52M records)
Demografy's Consumer Demographics Prediction
Stirista Consumer Demographic and Multicultural Data
Complementics Self-declared Demographic Data (Age & Gender - Global Data Coverage)
DemoIQ by AnalyticsIQ - Consumer Demographic Data USA - 241M Individuals
Mapping Resources: Canada Demographic Data
BIGDBM Consumer, Demographic & Interest Database for USA
Dexivo: Demographic, Credit Rating & Identity Data Record for USA
EDI US Demographic Knowledge Graph (600 million attributes)
Kochava Collective - Global Demographic Data matched to Device IDs
The Ultimate Guide to Demographic Data 2021
What is Demographic Data?
Demographic data is statistical knowledge gathered about a given population. In more detail, it refers to descriptive information about characteristics such as gender, age and location.
Demographics can be used to categorize people into customer segments. The segments can then be studied to bring efficiency to communication and product development. Companies use demographic data to research and understand how their offering is being perceived and in which markets. In turn, using demographic data can also enable businesses to learn how the customer makes choices, and how the choices are related to the customer’s demographic characteristics.
Due to technological advancements over the years, data collection has become more scalable and the price of demographic data has decreased. More and more companies are turning to data driven solutions in their marketing and business intelligence teams. When used correctly, demographic data can help to bring powerful insights and forecasts for organizations across all industries.
What are the 5 main different segments for Demographics?
Demographic segmentation groups together consumers and prospective customers by relying on those features of demographic data analysis that may reflect valuable markets for a company. The five major population groups are as follows:
• Age - individuals of different ages also have different preferences and aspirations.
• Salary and occupation - these factors are valuable to advertisers and marketers, as individuals in different income sectors can have vastly different approaches to making transactions.
• Cultural history - population segmentation also helps to group consumers by race, faith, and nationality.
• Family status - this may include items such as whether the individual is renting or buying their home, and in the case of whether or not they have paid off their mortgage, as well as marital staus.
How to use Demographic Data?
Marketers can use demographic data to group customers based on their characteristics like age, gender, and income. The ability to segment consumers makes it easier for marketers to create accurate and relevant messages which are aimed towards a specific public. As a result, your messages are more likely to be received as they were intended, leading to more conversions and revenue.
Businesses often use demographics to guide their next steps towards growth. The data allows businesses to learn what their audiences need, where do they want it, and are they willing to relocate for that service or product. Demographic data can help you to identify key segments within your industry.
Data driven companies are able to learn from demographics and customize their products based on their customers preferences. Demographics can give you insights on current market developments and enable your teams to develop products the audience is ready for. Putting the people first comes easier with demographic data.
What are typical Demographic Data attributes?
Financial wealth of a given audience is often measured by:
- Household Income
- Net Worth
- Home Value
Gender is many times used to select the primary decision makers in the households. They are the people who should receive your communication. The key decision makers in households are usually females.
Lifestyle data aims to find consumption patterns by explaining audience interests. Some attributes might include:
- Product ownership ( how many cars, tv’s, motorcycles do they own)
- Hobbies ( sportclub memberships etc..)
Lifestage data indicates the place your audience is in their lives. It can give you valuable insights on their interests, disposable income, and purchase behavior. These are common attributes for lifestage data:
- Marital status
- Presence on children
- Number and age of children
Geographic data refers to the location of the audience and is usually evaluated by addresses.
How is Demographic Data typically collected?
There are a multitude of ways to collecting demographic data. One way of sourcing demographics includes the use of surveys signed to individual consumers. Surveys can be given to people at home or during events. Marketers have found this method to be troublesome due to its manual components and low response rates. Surveys may be able to gather very detailed forms of information but can become costly for larger sample sizes.
Another way to do this is by the use of technologies such as Google Analytics which track the insights from millions of website visitors to draft powerful analytics for marketing purposes. Google takes the browser details to form data about the user’s location, language preferences and others. This technological approach is more scalable and delivers statistics which can be updated almost in real time. However, as a collection method it is limited by privacy related issues and cannot often offer the same level of granularity as other collection methods.
Your demographic data can be taken on another level by enriching it with insights from cookies or event tracking. Adding other data points to your demographic data can create powerful analytics which drive your business. Imagine combining your demographic segments with their respective lifestyle and transaction data collected from social media and credit card companies. Such information, if accurate, can pinpoint not only who and where your customers are, but also what they want and how much are they willing to pay for it.
How to get Demographic Data by zip code?
Zip code is a postal code used by the U.S. Postal Service (USPS). ZIP is an acronym for Zone Improvement Plan. It was chosen to indicate that mail flows more effectively and easily (zips along) when the sender uses the code in the postal address. The cost for demographic data by zip code is typically higher, since you have the option to shop for demographic data from any municipality or region with varieties from any demographic data vendor on the data marketplace. Data vendors offer demographic data according to regional and geographical zone, even down to specific zip codes.
What is Socio-Demographic Data?
By ‘socio’, we mean everything about culture or its organization, while ‘demographic’ comes from the Greek ‘demo’ (people) and ‘graph’ (write). So the term ‘demographic’ simply means learning about individuals or research communities. Socio-demographic data includes gender, age, educational level, employment status, occupation, marital status, and other data related to a particular area for the purpose of demographic data analysis. Socio-demographic data can be used to tailor products by figuring out what consumers want and by modifying the current product to suit the intended result. The whole idea of customizing products is to save time and resources on products that are not wanted or that do not match your customer specification.
How to assess the quality of Demographic Data?
One of the more common issues with demographic data lies in finding extensive, large scale datasets which are both timely and reliable. Surveying for demographic data is a slow process which often has low response rates. Portions of datasets may come outdated before they are even put to use. Use of outdated data may lead to skewed results and can potentially harm a business.
Imagine your marketing team receives a dataset created based on surveys from 2017. Many of the survey participants may have moved to another location, or had a change in their lifestyle. Creating effective marketing communication based on outdated datasets is a mission impossible, even for the best of us.
Issues with data accuracy occur often due to a lack of understanding or knowledge in the data sources and collection methods. You need to understand the data collecting and procurement process to some extent in order to be able to benchmark any data vendors or datasets.
Checklist to acquiring quality demographic data:
- Learn about the data type and its use cases
- Know your worth (set an expected value for the dataset)
- Understand the process of data collection
- Confirm that the data is able to cover your niche and is of proper scale
- Make sure the data can be integrated with your current business technologies
- Test dataset quality with a sample set
How is Demographic Data typically priced?
Demographic data comes with various pricing models. Depending on the use case you can find vendors offering basic licensing models as well as pay per use models like CPM/CPC. For smaller organizations, larger data dumps with one time fee are not uncommon either. Many data providers are able to give custom quotes based on your needs as well.
What to ask Demographic Data providers?
There are some many questions you should always ask during the acquisition process to make sure you are engaging with the right data provider. The questions depend heavily on your use case and the dataset size.
Here are some examples:
- Do you offer sample sets for testing purposes?
- What is the update frequency you offer?
- How is the data collected?
- What is the coverage and how granular can a single data point be?
- Can the data be integrated to our current business technologies?
How to visualize Demographic Data?
Data visualization is the art of converting information into a visual sense, making it possible for the human brain to grasp and extract insights. The key purpose of visualizing demographic data is to make it easy to distinguish patterns, trends and outliers in a broad commercial demographic dataset. The first thing to do when viewing demographic data is to start with a question or a theory along the lines of what you want to get out of your guests, then list the demographic variables as you search a data marketplace. The most popular and automatic demographic variables to visualize your data are gender, gender/age disaggregation, household size overview, race and religion.
What are examples of how Demographic Data is used in schools?
In schools, real-time demographic data would consist of information on enrolment rates, attendance rates, and suspension levels, disciplinary violations, a commitment by families and enrollment, individualized training plans for school children, and lunches at free or discounted rates for students. Academic data, such as grades and standardized test scores, may indicate that the curriculum and methodology need to improve in order to maximize teaching and student outcomes. A variety of demographic data vendors offer a wide range of demographic data subscription services that will help educators create instructional standards-based lesson plans and ensure teachers have the most up-to-date best practice knowledge for current and historical demographic data.
What demographic data is needed for urban planning?
Urban planning describes the process before developing and designing urban areas. The cost of demographic data to put into consideration most time depends on the type of urban planning needed, which ranges from Strategic Urban Planning, Land-Use Planning, Urban Revitalization, Master Planning, and Environmental Planning. Strategic urban planning, which focuses on determining high desired areas of growth for a metropolitan area goal, may include easing transportation throughout the city, creating more community space, or encouraging people to visit or move to the city. For this use case, demographic data like; age, gender, location, ethnicity, marital status, and education is needed.
How to analyze Demographic Data?
After you purchase demographic data either directly from a data marketplace or from a demographic data vendor, you need to start your demographic data analysis by converting your demographic data in a variety of ways, such as plotting it on a graph, analyzing the associations, or building a pivot table in your Excel. This table helps you to sort and filter the demographic data gotten from the data marketplace or demographic data vendor over various variables to determine the mean, average, maximum, and standard deviation of the sample. Data analysis applications and techniques are really relevant at this point. Popluar tools for analyzing data which you could try Microsoft Power Bi, Xplenty, Hubspot, Spotlight, Tableau Public, Green, Minitab, or Microsoft Excel.
Who are the best Demographic Data providers?
Finding the right Demographic Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Demographic Data providers that you might want to buy Demographic Data from are AnalyticsIQ, Acxiom, Stirista, Multimedia Lists, and Adstra.
Where can I buy Demographic Data?
Data providers and vendors listed on Datarade sell Demographic Data products and samples. Popular Demographic Data products and datasets available on our platform are Demographic Data APAC - Age & Gender (1st Party Data w/52M records) by AI Keyboard, Demografy’s Consumer Demographics Prediction by Demografy, and Stirista Consumer Demographic and Multicultural Data by Stirista.
How can I get Demographic Data?
You can get Demographic Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Demographic Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Demographic Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Demographic Data?
Demographic Data is similar to Audience Data, Social Media Data, Marketing Data, Consumer Panel Data, and Psychographic Data. These data categories are commonly used for Marketing and Audience Segmentation.