How does scoring setup work in TargomoLOOP?

What is scoring?

Scoring converts different datasets (e.g., population, income, footfall) into a standardized score and combines them using weights.

• 0 = worst value
• 100 = best value

This allows you to:

• Compare locations easily
• Visualize results as heatmaps
• Build data-driven expansion decisions

Step-by-step: How to set up scoring

1. Select datasets

1. Go to Settings
2. Click on Score
3. Click on Add data
4. Select the datasets you want to include (e.g., population, income, demographics)
5. Click Next

2. Configure scoring parameters

After selecting datasets, you need to define how each one contributes to the score.

Key parameters explained

1. Min and Max values

Defines the scoring range:

• Minimum value → score 0
• Maximum value → score 100

Any value:

• Below min → stays 0
• Above max → stays 100

👉 You can:

• Auto-calculate using “My Network”
• Or manually override for more control

2. Logic (More is better / Less is better)

Defines how the metric should behave:

• More is better → e.g., population, income, footfall
• Less is better → e.g., competition, rent, vacancy

3. Weight

Defines importance of each dataset in the final score.

• Higher weight = more influence
• Lower weight = less influence

How the final score is calculated

• Each dataset is normalized to 0–100
• Then combined using weights
• Result = final score per location

Best practices

1. Use realistic Min/Max

• Avoid extreme values → leads to flat scores
• Use your network data for better calibration

2. Keep datasets meaningful

• Don’t add too many variables
• Focus on what actually drives your business

3. Balance weights

• Avoid giving everything equal weight by default
• Prioritize key drivers (e.g., footfall for retail)