Understand the Nature of Your Customer

Spatial Technologies supplies spatial demographic spatial datasets that helps with marketing objectives as site location, target marketing, forecasting market potential, customer profiling, and segmentation. To ensure that the approach is targeted, accurate and successful marketeers need to pinpoint specific population groups’ needs in detail. Using statistical treatment of the various census data to correct the established under-count in some areas of parameters such as age, race and language, the demographic data can be adjusted to be more representative of the truth.

Census²

This dataset has detailed information such as population totals, race, age group profiles, gender, language, education, dwellings, income profiles, market segmentation, access to amenities, and profession. The data is available at sub-place level for South Africa.

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LSM

The Living Standards Measure is still seen as the most recognized form of market segmentation used by advertising agencies, media owners, service providers and marketers. The LSM dataset is made up of the following indicators per EA: total population, total number of households, LSM percentage per category, number of households per category, dominant LSM category.

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Demographics for Africa

This dataset is available for most nations across Africa using the latest satellite imagery and statistical techniques in order to measure population figures at the smallest possible area boundary. The demographic estimates data is made up of the following indicators at the most detailed administrative level possible (commonly EA or ward level): total population, household sizes, total number of households, male and female gender figures, racial segmentation, age group segmentation.

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Income

The income dataset for South Africa contains the following indicators per enumeration area: total population, number of people within 14 individual monthly income segments, a percentage value of each income segment, temporal views of increasing and decreasing income figures when overlayed with older editions of the data.

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Township Atlas

The township opportunity atlas includes 530 townships with more than 74 000 mapped outlets including: hawkers, spaza shops, cafes, take-aways, bottle stores, taverns, shebeens and pubs. Even government services such as clinics schools post offices and police stations are included. There are also a further 13 organised and indirect trade channels broken up into 19 categories of outlets including: superettes, forecourts, butchers salons, hotels and night clubs resulting in excess of an additional 75 000 mapped outlets. There are 15 categories of products including: alcoholic and non-alcoholic beverages, maize, tea and coffee, sugar, bread, cigarettes, baby toiletries and more. Grocery retail brands such as Pick n Pay, Checkers, Spar, Woolworths, Shoprite, Boxer and USave are also present.

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GEOMAPS

GeoMAPS helps marketers understand their brand market and consumer purchasing behaviour, to develop targeted advertising, marketing and communication strategies. It uses a quantitative methodology to accurately map survey data to neighbourhood level and a qualitative method to rapidly map and view the results of survey data for quality & research purposes.

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Advanced Population

Released annually, the Advanced Population dataset provides an indication of the distribution of the population concentration of the country, as well as an estimated population count during the day and night. This gives an estimate of the number of workers and non-workers (retained residential population) that could be found within an area during daytime working hours.

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Census²

This dataset has detailed information such as population totals, race, age group profiles, gender, language, education, dwellings, income profiles, market segmentation, access to amenities, and profession. The data is available at sub-place level for South Africa.

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LSM

The Living Standards Measure is still seen as the most recognized form of market segmentation used by advertising agencies, media owners, service providers and marketers. The LSM dataset is made up of the following indicators per EA: total population, total number of households, LSM percentage per category, number of households per category, dominant LSM category.

Lets Chat

Demographics for Africa

This dataset is available for most nations across Africa using the latest satellite imagery and statistical techniques in order to measure population figures at the smallest possible area boundary. The demographic estimates data is made up of the following indicators at the most detailed administrative level possible (commonly EA or ward level): total population, household sizes, total number of households, male and female gender figures, racial segmentation, age group segmentation.

Lets Chat

Income

The income dataset for South Africa contains the following indicators per enumeration area: total population, number of people within 14 individual monthly income segments, a percentage value of each income segment, temporal views of increasing and decreasing income figures when overlayed with older editions of the data.

Lets Chat

Township Atlas

The township opportunity atlas includes 318 townships with more than 74 000 mapped outlets including: hawkers, spaza shops, cafes, take-aways, bottle stores, taverns, shebeens and pubs. Even government services such as clinics schools post offices and police stations are included.

Lets Chat

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