What Strata Delivers

1. Site Selection Report

Site selection reports measure and analyze the profitability of of a new build in pre-selected new site locations for a retail category(s), with over 65 available. They provide a complete analysis of the following metrics:

Competitor or supply side analysis: the number and size of competition is compared with other similar trade area types in the province using a score and rank.
Consumer spend or demand side analysis: the size of consumer spend is compared with other similar trade area types in the province using a score and rank.
Trade area visibility analysis: the number of expected household visits to the trade area is compared to other trade areas in the province using a score.
Opportunity analysis: expected sales revenue of a new build, based on both supply and demand, is compared to all other opportunities in the province using a score and rank.
Demographic analysis: a selected list of demographic variables is compared to provincial values using both percent change and a score. Variables from the following demographic groups are included - population, income, marital status, family, visible minority, education, labour, occupation and dwellings. BUY REPORT

Download Sample PDF Report

2. Retail Category Report

Retail category reports identify the best retail categories with the highest opportunity for success in a pre-specified location. This has not been possible before, and is ideally suited for commercial real estate developers and building owners method, as well as retailers who want to better understand if they are offering the right product mix in a trade area. STRATA uses a unique method of scoring that allows over 65 retail categories to be compared to determine the gaps and best retail opportunities in a trade area. Reports provide a complete analysis of each retail category with the following metrics:

Competitor or supply side analysis: the number and size of competition is compared with other similar trade area types in the province using a score and rank.
Consumer spend or demand side analysis: the size of consumer spend is compared with other similar trade area types in the province using a score and rank.
Trade area visibility analysis: the number of expected household visits to the trade area is compared to other trade areas in the province using a score.
Opportunity analysis: expected sales revenue of a new build, based on both supply and demand, is compared to all other opportunities in the province using a score and rank.
Demographic analysis: a selected list of demographic variables is compared to provincial values using both percent change and a score. Variables from the following demographic groups are included - population, income, marital status, family, visible minority, education, labour, occupation and dwellings. BUY REPORT

Download Sample PDF Report

1. Existing Network Optimization

Retail network optimization is about identifying existing trade area sites for potential contraction and upgrade. This is the foundation for creating low cost, high revenue networks. CONTACT US.

Trade Area Performance is about evaluating the revenue potential of a trade area. It identifies trade areas caught in the retail cluster trap with too many competitors for the size of the trade area. STRATA uses an allocation model that includes both supply and demand data to analyze the revenue potential for individual retail network trade areas. Trade area performance reports compare, score and rank revenue potential across a retailer's network and cover over 65 retail categories. Note that these reports include supply and demand analysis. SEE SAMPLE REPORT
Store Performance is about comparing the actual sales of a store against the revenue potential of a trade area. This provides a deeper level of analysis than Trade Area Performance analysis by separating out the overall potential of the trade area from the actual performance of the store. An advanced allocation model is built using internal sales data and external supply and demand to model expected sales or "what sales should be" in a trade area. Store performance is measured by comparing actual sales with "what sales should be". The analysis also provides additional information about the strength of the retail brand by measuring the ability of a retailer to compete against its major competitors. Although dependent on the size of the retail network, this analysis is typically delivered using Tableau dashboard software.

2. New Site Optimization

New site optimization is about finding the very best business opportunities and ensuring none are missed. This is a complete analysis of a retail network over a selected region or all of Canada. It also allows retail network capacity to be estimated - the total number of stores that a retail value proposition can support. STRATA analyzes new potential sites using a unique three part process that begins with the big picture using total supply and demand and then ends with the additional of micro factors such as demographic profiles, consumer segmentation, or other considerations. CONTACT US.

Consumer Proximity is about finding the gaps in a network where consumers don't have convenient access to a retailer. STRATA captures the complexity of consumer behaviour using seven unique trade area types, each representing a different shopping centre. This creates a list of natural shopping options or a natural shopping path for each consumer household as they purchase goods and services across various shopping centres. This allows consumer convenience to be measured across home and adjacent trade areas for individual retail chains and effectively identifies the retail gaps. Gaps represent potential opportunities for expansion, but they also pose potential risks to a network from competitors.
Retailer Profitability is about finding sites with the highest profitability. After the identification of retail gaps, an allocation model is used to compare, score and rank the profitability of a potential new build over all trade areas.
Demographic Profile and Other Micro Factors. This is about adding other qualitative factors to enhance the site selection process, and are included as filters. Factors that influence the process, but that target only a portion of the market like a specific demographic profile or consumer segmentation type, are incorporated at the end of the process. This ensures that micro factors don't overtake the macro supply and demand picture.

The potential opportunity of a new build is compared, scored and ranked over almost 5,000 trade areas in Canada, and is available for over 70 retail categories. This analysis is delivered using Tableau dashboard software. SEE SAMPLE REPORT

STRATA Delivers On-Demand Reports & More

1. Existing Network Optimization

2. New Site Optimization

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