Who is Buying What and Where

Spatial Technologies supplies spatial datasets comprising the locations of many of the best-known and fastest growing retail brands with the essential products, services and expertise needed to make successful retail site selection, marketing, merchandising and operational decisions. Whether your interest is more focussed on townships, or on the broader market, we can provide a tailored solution that matches your budget, time to market, and ROI requirements. Details for shopping centres such as owner, leasing agent, parking, annual foot count or gross lettable area are available. Consider also details about key brands, and daytime/nighttime population variations to add to the mix.

Shopping Centre Directory

The Shopping Centre Directory is a joint initiative between the Spatial Technologies, Market Decisions and the South African Shopping Centre Council. The Shopping Centre Directory, which is geo-coded to micro-location, comprises over 1000 listed centres that are classified as either regional, community and local centres.

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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.

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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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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. 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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