Our Services

Data-driven retail channel planning and execution.

ppl with chart
Our Services
Data-driven retail channel planning and execution.
ppl with chart
map-location
sale
scale
hierarchical-structure
layers
graph (1)
map-location
sale
scale
hierarchical-structure
layers
graph (1)
chart
line

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.
Learn more about Network Optimization
Network Optimization
Click the image to view full size
  1. Understanding a store's performance compared to market potential gives brand owners the ability to identify which stores are underperforming or outperforming potential.
  2. As an example, door X in TZ-12 should be maintained as it is reaching targeted market share in a high potential trade zone.
  3. 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.
Learn more?
Revenue Estimation2
Click the image to view full size
  1. Group historical store performance level with compiled location attributes.
  2. 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.
Learn more about Revenue Estimation
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 Estimation2
Click the image to view full size
  1. Group historical store performance level with compiled location attributes.
  2. Identify key factors from store attributes and location characteristics.
Learn more?

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.
Learn more about Trade Zone Analytics
trade-zone
Click the image to view full size
  1. Categorize trade zone by types based on its characteristics.
  2. Use trade zone to plan store network and its format.
Learn more?
CRM-Analyses
Click the image to view full size
  1. Group historical store performance level with compiled location attributes.
  2. Identify key factors from store attributes and location characteristics.

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.
Learn more about CRM Analysis
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-Analyses
Click the image to view full size
  1. Group historical store performance level with compiled location attributes.
  2. Identify key factors from store attributes and location characteristics.
Learn more?

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
Quickly understand urban infrastructure in terms of where people live, work, and shop.
Customized Market Potential
Customize quantitative market analytics for your business based on target consumers, key competitors, synergistic POI, and other market related factors.
Learn more about Demographic Segmentation
  1. Standardize the demographic by grid for easier usage.
  2. Use heatmap to highlight the location focus and attractions for consumers.
  1. Standardize the demographic by grid for easier usage.
  2. Use heatmap to highlight the location focus and attractions for consumers.
Learn more?
city ranking pic
Click the image to view full size
  1. 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.
  2. Looking further down toward cities like Shenyang, high per-capita GDP but a lower retail penetration warrants a deeper look at store expansion.
  3. 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.
Learn more about City Ranking
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 pic
Click the image to view full size
  1. 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.
  2. Looking further down toward cities like Shenyang, high per-capita GDP but a lower retail penetration warrants a deeper look at store expansion.
  3. Shenyang reveals a strong retail index but lower doors per-capita, indicating potential for a first-mover advantage.
Learn more?