Find a tenant

Efficiently find tenants using data-driven insights.

This article explores the process of identifying future tenants using our business intelligence tool and outlines the steps to optimise this process. It involves selecting specific areas, applying filters, prioritising leads with a high probability of moving, and adapting to limited high-probability options.


Step 1: Choose the Target Area
Use the Map tool to select the right area.

To search for companies in a specific area, you can use the Map tool. There are three different methods to select an area on the map
  • You can select areas based on municipalities, zip codes, or districts (voting areas). You have the flexibility to choose multiple areas at once.
  • You can use the lasso tool to define an area by placing multiple dots.
  • Alternatively, you have the option to enter the address of the property you are interested in and choose a radius around it.

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Step 2: Apply Filters for Targeted Results

Use filters that can help you narrow down your search for potential tenants. Start by selecting specific criteria via the filters options such as full-time employees, industry, whether they are property owners or renters, or the desired distance from amenities or transportation hubs. These filters allow you to create a refined list of potential tenants that match your property's profile.


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Step 3: Expand table

After completing your search, you can analyse the list of potential tenants by using the "Expand table" option located at the top of the Production Units and Companies list on the right side of the page. By selecting this option, a table will appear, allowing you to chose the specific columns that contain the relevant information you are interested in using the "Columns data" feature.

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These individuals are prime candidates to identify future tenants, given their high likelihood of moving. However, if the pool of such leads is limited, consider these three options:

  1. Adjust Move Probability Range: Look for leads with slightly lower move probabilities (e.g., 'mellem' - medium) to broaden the scope of potential tenants.
  2. Expand Geographic Range: Consider widening your search area to include neighbourhoods with similar characteristics to your target area.
  3. Flexible Filter Criteria: Temporarily remove certain filter criteria, such as specific industries or owner/rent preferences, to increase the pool of potential tenants.



Introducing Move Probability Classification

Move probability classification assesses the likelihood of a tenant relocating, offering a predictive edge to your efforts. By analysing historical data and tenant behaviour, the business intelligence tool can assign a move probability value to each lead. This value helps you gauge how likely a potential tenant is to move.

After expanding the table, locate the column labeled "Move probability classification" and proceed to sort the leads based on their move probability. Prioritise leads with the highest move probability by selecting 'størst' (highest) or 'større' (higher).


This selection provides a more applicable result compared to the "Move probability %". Smaller production units generally have a higher move probability because it is easier to move them, and they tend to move more often. If you focus solely on the move probability in percentage, you will only consider small production units. However, the "Move probability classification" takes into account both smaller and larger production units. This ensures a more comprehensive analysis of the potential tenants.

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Upcoming Feature: Change in Moving probability


Once you have finished your search, you can track any changes in the move probability of the production units. Simply click on the graph icon located next to the "Moving probability" in the table next to the map. This feature allows you to stay informed about any updates and enables you to proactively reach out to the production units when there are any changes in their move probability.


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