--- title: How to add Footfall data description: Learn how to add footfall data in TargomoLOOP using Custom Analysis. Step-by-step guide with best practices for selecting catchment radius and counting methods, including real-world examples for accurate location insights. --- [Skip to content](https://info.targomo.com/targomoloop/help/how-to-add-footfall-data#main-content) ![Targomo-logo-email-logo-template.png\]](https://info.targomo.com/hs-fs/hubfs/Targomo-logo-email-logo-template.png?height=40&name=Targomo-logo-email-logo-template.png) - [Sample About Page](https://www.targomo.com/en/about/) - [Sample Contact Page](https://www.targomo.com/en/contact/) - [Default HubSpot Blog](https://info.targomo.com/blog) Open main navigation Close main navigation - [Sample About Page](https://www.targomo.com/en/about/) - [Sample Contact Page](https://www.targomo.com/en/contact/) - [Default HubSpot Blog](https://info.targomo.com/blog) How can we help you? - There are no suggestions because the search field is empty. 1. [TargomoLOOP Knowledge Base](https://info.targomo.com/targomoloop/help?hsLang=en) 2. [πŸ‘‹ Getting started with TargomoLOOP](https://info.targomo.com/targomoloop/help/getting-started-with-targomoloop?hsLang=en) 3. [πŸ“Š Working with data](https://info.targomo.com/targomoloop/help/getting-started-with-targomoloop?hsLang=en#working-with-data) # How to add Footfall data ## You can easily add footfall data to your analysis. 1. Go to **Settings** 2. Click on the **Custom analysis** tab 3. Click on **Add data** 4. Select the **Footfall dataset** you want to use 5. Choose the **catchment radius** 6. Select the **counting method** 7. Click "Add dataset" --- ### What does each setting mean? #### Catchment (radius) Defines how far from your location footfall will be considered. - **Smaller radius (e.g., 30m)** Measures footfall very close to your store (doorstep level) - **Larger radius (e.g., 50m+)** Includes nearby streets and surrounding area --- #### Counting method - **Weighted average** (recommended for most cases) Considers all nearby cells, giving more importance to closer ones β†’ Best for realistic, balanced view of footfall - **Maximum** Picks the highest footfall value within the radius β†’ Captures the busiest nearby point (e.g., main street) --- ### Best practices (with real examples) #### 1. High-street retail store - Catchment: **30m** - Method: **Weighted average** Why: You want to measure footfall directly passing your storefront, not nearby parallel streets. --- #### 2. Store near a major intersection (e.g., corner location in city center) - Catchment: **50m** - Method: **Maximum** Why: The busiest footfall might be at the intersection, not exactly at your door. Maximum helps capture that peak opportunity. --- #### 3. Shopping mall store (indoor location) - Catchment: **30m** - Method: **Weighted average** Why: Footfall is more evenly distributed inside malls. You want a realistic average around your unit. --- #### 4. Suburban store with imprecise coordinates - Catchment: **50m+** - Method: **Weighted average** Why: If your location is slightly off, a larger radius avoids misleading low values. --- #### 5. Benchmarking multiple locations across a city - Catchment: **50m+ (consistent across all)** - Method: **Maximum or Weighted (but keep consistent)** Why: Consistency matters more than precision when comparing locations. --- ### Key tip - Use **smaller radius + weighted average** for precision - Use **larger radius + maximum** to capture peak potential --- If you're unsure, start with: - **30m + weighted average** Then adjust based on how your locations behave (street vs area-driven). 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