A Stockholm shopping mall: rents on real footfall
One measurement supports three commercial conversations: tenant rents, advertising value and tenant satisfaction, all based on visitor data both sides trust.
Key features
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Footfall-based rents
Tenant relationships moved onto visitor data both landlord and tenants trust.
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Advertising, valued on data
The same numbers were used to price advertising space inside the mall, based on measured audience instead of claims.
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Trust between parties
One neutral measure improved tenant satisfaction, because the number was nobody's opinion.
Rent discussions in a shopping mall have a structural problem: landlord and tenant each hold their own numbers, and neither fully trusts the other’s. A Stockholm shopping mall solved this by basing the relationship on measured footfall: one number, produced the same way for everyone and visible to both sides.
The mall is a flagship centre and one of Sweden’s busiest shopping areas. It has worked with Bumbee Labs for years, and the operator later rolled the approach out across its other malls.
Rents on real footfall
The mall moved tenant relationships onto footfall-based rents, built on visitor data both landlord and tenants trust. That changes the tone of every negotiation, because the conversation starts from what actually happened in the corridor outside the unit and not from an argument about whose estimate is right. A separate page covers how footfall data supports lease negotiations in general; this mall made it standing practice.
Three conversations, one measurement
The same numbers were used to value advertising space inside the mall, priced on measured audience rather than claimed exposure. They also improved tenant satisfaction, because a neutral measure took the friction out of the relationship. One measurement carries three commercial conversations that used to run on opinion: rents, advertising and tenant dialogue. In those conversations, the data pays for itself several times over.
The property view
For an operator, the commercial applications depend on the mall-wide picture: every entrance, floor and food court on one anonymous measure. The full approach for property owners is on mall operators & property owners, and the retail context on retail footfall analytics.