Our ServicesData-driven retail channel planning and execution.
Our Services
Data-driven retail channel planning and execution.
getchee has not only provided us with a friendly tool for analyzing our current and potential customers, it has given us great insight on opportunities.
- Arthur Cheng, IT Manager, L'Oréal Taiwan
Network Optimization
Identify COVID-19 based market and consumer changes.
Target demographic and retail hotspots to match network coverage with demand.
Locate granular market potential, and evaluate current network coverage against store performance.
Map market competition, prioritize trade zones/ micro area for expansion, and create a standardized decision-making process for store development.
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- Understanding a store's performance compared to market potential gives brand owners the ability to identify which stores are underperforming or outperforming potential.
- As an example, door X in TZ-12 should be maintained as it is reaching targeted market share in a high potential trade zone.
- Both doors Y and Z are underperforming. However, TZ-02 has a much lower market holding capacity, so investment into door Y in TZ-23 will yield a much higher return.
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- Group historical store performance level with compiled location attributes.
- Identify key factors from store attributes and location characteristics.
Revenue Estimation
Model COVID-19 based changes to physical channel potential.
Better predict store performance potential to reduce risk.
Analyze the sales performance of existing stores, compile possible factors of the store location attributes, and identify key factors that influence store performance.
Build a revenue estimation model to assist store performance assessment, design a model application tool and process, and review and improve the model going forward.
Revenue Estimation
Model COVID-19 based changes to physical channel potential.
Better predict store performance potential to reduce risk.
Analyze the sales performance of existing stores, compile possible factors of the store location attributes, and identify key factors that influence store performance.
Build a revenue estimation model to assist store performance assessment, design a model application tool and process, and review and improve the model going forward.
⇡ Click the image to view full size
- Group historical store performance level with compiled location attributes.
- Identify key factors from store attributes and location characteristics.
Trade Zone Analytics
Define trade zones based on market potential and consumer behavior to help better network management decision.
Define trade zone boundaries with estimated potential, and prioritize each based on the potential.
Categorize each trade zone by characteristics, optimize the store distribution for demand, and improve the consumer experience in each store based on local area behavior.
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- Categorize trade zone by types based on its characteristics.
- Use trade zone to plan store network and its format.
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- Continuously track where the member distribution and come from.
- Compare the trend and identify where is the new growing potential market.
- Impalement effective marketing campaign in the right areas.
CRM Analysis
Assess customer distribution and purchase patterns to improve marketing efficiency and reach.
Compile customer historical purchase behavior, and map where and how to best engage them.
Discover aggregated POS trends, identify purchase patterns by segment, and create appropriate local marketing and promotion strategies for each consumer segment.
CRM Analysis
Assess customer distribution and purchase patterns to improve marketing efficiency and reach.
Compile customer historical purchase behavior, and map where and how to best engage them.
Discover aggregated POS trends, identify purchase patterns by segment, and create appropriate local marketing and promotion strategies for each consumer segment.
⇡ Click the image to view full size
- Group historical store performance level with compiled location attributes.
- Identify key factors from store attributes and location characteristics.
Demographic Segmentation
Create value-added demographic and business point data for use in China, India, and East Asia.
Grid Demographic
Granular distribution of total population, working population, household number, and age.
Wealth Indicators
Model the distribution of wealth based on household income/ expenditure and property pricing distribution.
Heat Maps
Heat Maps
Quickly understand urban infrastructure in terms of where people live, work, and shop.
Customized Market Potential
Customized Market Potential
Customize quantitative market analytics for your business based on target consumers, key competitors, synergistic POI, and other market related factors.
- Standardize the demographic by grid for easier usage.
- Use heatmap to highlight the location focus and attractions for consumers..
- Standardize the demographic by grid for easier usage.
- Use heatmap to highlight the location focus and attractions for consumers.
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- The strong Retail Market Index in Hangzhou shows potential along with a high per-capita GDP. However, the high number of modern retail doors per-capita indicates the city might be reaching saturation.
- Looking further down toward cities like Shenyang, high per-capita GDP but a lower retail penetration warrants a deeper look at store expansion.
- Shenyang reveals a strong retail index but lower doors per-capita, indicating potential for a first-mover advantage.
City Ranking
Target the right cities. Grow your business.
Estimate the total nationwide market potential segmented by region, city tier, and per brand, and calculate optimal door count.
Project optimal door count forward 5 years, and gather insights into new markets.
City Ranking
Target the right cities. Grow your business.
Estimate the total nationwide market potential segmented by region, city tier, and per brand, and calculate optimal door count.
Project optimal door count forward 5 years, and gather insights into new markets.
⇡ Click the image to view full size
- The strong Retail Market Index in Hangzhou shows potential along with a high per-capita GDP. However, the high number of modern retail doors per-capita indicates the city might be reaching saturation.
- Looking further down toward cities like Shenyang, high per-capita GDP but a lower retail penetration warrants a deeper look at store expansion.
- Shenyang reveals a strong retail index but lower doors per-capita, indicating potential for a first-mover advantage.