Marketing


Purchasing Power

Purchasing Power Data


The Purchasing Power dataset reveals the disposable income and consumer spending of several food and non-food product lines, divided into 5 main categories and 17 subcategories. The data is based on various (census) surveys  and a selection of commercial sources.

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Purchasing Power

Per census or Postal Code area we calculated the Purchasing Power per capita and per mill. Purchasing Power is the disposable income. The 5 purchasing power categories as explained below show what people spend on a certain product group.

Purchasing Power
Purchasing Power

A. Food, Beverages

The following datasets are available within this category:

1. Food and Beverages at home
2. Alcoholic Beverages at home
3. Tobacco
4. Food and Beverages out of home

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B. Apparel and Services

Apparel and services is divided into:

1. Clothing
2. Footwear
3. Accessories

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Purchasing Power
Purchasing Power

C. Housing

Housing constists of:

1. Household Furnishing and Decoration
2. Household Products – Electrical
3. Household Products – Non Electrical
4. House & Garden Tools
5. Household Maintenance

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D. Entertainment

This category consists of the following datasets:

1. Consumer Electronics
2. Recreation and Hobbies
3. Newsletters and Books

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Purchasing Power
Purchasing Power

E. Personal and Healthcare

Personal and Healthcare offers two datasets:

1. Personal Care
2. Health Care Products

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Methodology 


Spotzi uses Consumer Expenditure Survey programs of census bureaus and commercial partners. These surveys provide data on expenditures, income, and demographic characteristics of consumers.

A model links the outcome of the consumer spending surveys to households with similar socioeconomic characteristics. The result is a Consumer spending dataset divided into 5 main categories and 17 subcategories. The level of detail varies per country and ranges from census to postal code level.

Per spending category Spotzi calculates the average spending of all people living in a certain country. This average is set to 100. If within a certain area people spend more on a certain product the index will be higher than 100. For instance if the index is 200 people in this postal code area spend twice as much on that certain product.

Europe

The map on the left shows the shows the Purhasing Power Index at Municipality and Postal Code level of several countries in Europe. The Purchasing Power data is available in every European Country.

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North America

Purchasing Power in North America is available in Canada and the United States. The map shows the Purhasing Power Index at Postal Code level in the United States.

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Delivery of this data


The data can be obtained for specific areas of your choice, such as your company’s catchment areas or external sales regions. Spotzi adds the Consumer Styles to their Postal Code maps so they can be used in our Mapbuilder or third party GIS software.

Data structure
Regional code (e.g., regional identifier, postcode, etc.)
Regional designator (e.g., municipality, postcode, street)

Inhabitants and households
Number of inhabitants and households within a given region, provided in absolute and per mill values.

Purchasing Power for in millions
This dataset provides the amount of disposable income available for a specific product line (in millions) among the population of a given region.

Purchasing Power for a specific product line in per mill values
This dataset indicates how the purchasing power for a specific product line (in per mill values) in a given region compares to the nationwide purchasing power for this product line. The sum of all per mill values equals 1000.

Purchasing Power for a specific product line per inhabitant
This dataset provides the average annual per person expenditure in a given region for a specific product line. Values are listed in euros.

Purchasing Power for a specific product line as an index per inhabitant
This dataset reveals the index value per inhabitant, a figure based on the national average of 100.0 per inhabitant. Thus, an index value of 110.0 means that the inhabitants of the region in question spend 10% more of their net income on the product line in question than the national average. By the same token, an index value of 90.0 means that the purchasing power for the region and product line in question is 10% less than the national average.

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Spotzi has ZIP code boundary maps of more than 20 countries in its data store. Segment your potential customers easily find based on a ZIP code area and combine this with interesting data, like company data or census data.

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Spotzi has census data from multiple countries fully mapped out. Each household has an extensive set of features available. We offer an extensive range of data to directly select the right audience for your campaign. Along with ZIP code data, this data offers interesting insights for your business.

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Purchasing Power
Purchasing Power
Purchasing Power
Purchasing Power
Purchasing Power

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We can provide a more in-depth analysis of a company’s markets. Our location-based zip code data is often combined with customer profiles. This combination of mapped out data can provide businesses with interesting insights about their customers. That means that we can give companies the possibility to have a better understanding of their customers behavior as a result of location based data analysis. Potential customers can be targeted better.

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99.9% Uptime

With the power of a high class cloud solution we guarantee you an uptime of 99.9% for your maps.

Daily back-ups

 We back-up your data on daily basis as an extra security.

Privacy

Our enterprise architecture setup ensures your data privacy and protection, while boosting the performance.