Census
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Our research is based on cutting-edge international methodologies, as well as our own original innovations and IT.
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Census research is a qualitative-quantitative research methodology that creates comprehensive databases of consumers and retail locations with detailed characteristics and metrics.
Unlike standard surveys that typically gather customer opinions or satisfaction data, census research systematically documents objective characteristics including consumer demographics, consumption patterns, retail location specifications (floor space, product assortment, store hours), proximity to key landmarks, competitive presence, and market indicators.
Census research builds detailed geographic and market intelligence databases that serve as foundational business intelligence for expansion, location selection, and market entry decisions. It combines counting and measurement (quantitative) with detailed descriptive information (qualitative) to create actionable market intelligence that goes far beyond simple survey response collection.
Census research is critical for successful retail expansion because it transforms uncertainty into data-driven decision-making. Before investing in new retail locations, entering new markets, or launching products, you need detailed understanding of local consumer composition, market size, competitive landscape, and retail environment characteristics.
Census research provides this intelligence by systematically mapping consumer segments, documenting existing retail locations with detailed specifications, identifying market gaps, and revealing consumer distribution patterns. This eliminates expansion guesswork and reduces risk by ensuring location decisions are based on actual market data rather than assumptions.
Understanding consumer segmentation helps you identify target audience characteristics and market concentration, enabling precise resource allocation. For consumer goods and retail businesses, census research often reveals that 60-80% of market opportunity concentrates in specific geographic areas with specific consumer segments—information that dramatically improves expansion ROI and reduces failed location investments.
CATI (Computer Assisted Telephone Interviews), TAPI (Tablet Assisted Personal Interviews), and F2F (Face-to-Face) interviews each serve different research objectives and have distinct advantages. CATI is most efficient for reaching broad consumer samples across large geographic areas, collecting quantitative data at scale, and conducting rapid surveys within budget constraints—ideal when you need statistical confidence from larger sample sizes and geographic coverage.
TAPI enables face-to-face interaction with tablet-based data capture, allowing flexible questionnaire flow, inclusion of visual stimuli or product samples, and real-time data validation while maintaining cost efficiency better than pure F2F—ideal for retail location audits or consumer interviews requiring visual assessment combined with flexibility.
F2F interviews are most valuable when you need deep qualitative exploration, detailed environmental assessment (retail store evaluation with photo documentation), complex consumer behavior understanding, or when visual context is essential to the research—ideal for comprehensive retail location censuses or detailed consumer profiling requiring visual evidence and contextual detail.
Your choice depends on research objectives: use CATI for broad geographic consumer profiling at efficiency, TAPI for location audits with geographic scale, and F2F for detailed location assessment or complex qualitative research requiring context and visual documentation.
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