Create products your customers value.
We’ll generate prices that maximize profit.


SELF-STORAGE INDUSTRY


Proactively Price to Build Shareholder Value

Self-storage operators are pressured on many fronts to increase both occupancy and rent. Many operators are expected to grow rates year over year. Ever changing competitive supply and rate offerings make it even more difficult to decide on the right price that sells and is profitable.

The self-storage business is highly seasonal, but many self-storage companies fall victim to rule-based pricing; using current or past occupancy levels as triggers to set prices. This reactive approach does not consider predicted customer demand and leads to suboptimal revenue performance.


Prorize Solution 


Prorize has worked with a growing number of self-storage companies to get ahead of the extremely cyclical nature of the industry and maximize revenues. We tailored our Pricing AI Platform™ and formally launched our sophisticated dynamic pricing solution for the self-storage industry, Self-Storage Rent Optimizer™ (SSRO™).

The SSRO considers existing inventory, rental, transactional and market data, and applies demand forecasting models to capture seasonal trends, understand your customers’ willingness to pay, and deliver optimal unit-by-unit rents that achieve sustainable revenue growth. As a result, our clients can forecast move-ins, move-outs and customer price sensitivities.  They can also differentiate feature values across units within each store, improve control of their corporate pricing process and capture their most profitable customers.

SELF-STORAGE INDUSTRY


Proactively Price to Build Shareholder Value

Self-storage operators are pressured on many fronts to increase both occupancy and rent. Many operators are expected to grow rates year over year. Ever changing competitive supply and rate offerings make it even more difficult to decide on the right price that sells and is profitable.

The self-storage business is highly seasonal, but many self-storage companies fall victim to rule-based pricing; using current or past occupancy levels as triggers to set prices. This reactive approach does not consider predicted customer demand and leads to suboptimal revenue performance.


Prorize Solution 


Prorize has worked with a growing number of self-storage companies to get ahead of the extremely cyclical nature of the industry and maximize revenues. We tailored our Pricing AI Platform™ and formally launched our sophisticated dynamic pricing solution for the self-storage industry, Self-Storage Rent Optimizer™ (SSRO™).

The SSRO considers existing inventory, rental, transactional and market data, and applies demand forecasting models to capture seasonal trends, understand your customers’ willingness to pay, and deliver optimal unit-by-unit rents that achieve sustainable revenue growth. As a result, our clients can forecast move-ins, move-outs and customer price sensitivities.  They can also differentiate feature values across units within each store, improve control of their corporate pricing process and capture their most profitable customers.

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