Let's talk about self storage.

Here's the pitch.  You let me know if this is good or bad:

"Multi-store self-storage operators use automated dynamic pricing to aggressively close the economic gap by fundamentally treating every individual storage unit like an airline seat or hotel room (hello REITs). Rather than relying on stagnant, rigid price sheets, advanced revenue management software is now available.

Independent operators often price an entire category uniformly (e.g., all 10×10 units cost $120). Automated algorithms break this down by micro-occupancy.  If a facility has fifty 10×10 units and forty-five are full, the category is at 90% physical occupancy. The algorithm instantly spikes the price of the remaining five units by 15% to 30%.

Software dynamically adds premiums to individual units based on physical convenience. A unit right next to the elevator or on the ground floor automatically gets priced 10% higher than an identical unit deep at the end of a third-floor hallway. This extracts premium Gross Potential Rent (GPR) where demand dictates it.

Algorithmic Promotion Overhauls (The Concession Burner) - To prevent the "Concession Trap"-where physical occupancy stays high because the manager is handing out too many discounts-the software monitors velocity.  

If a specific unit size is experiencing high search volumes or online bookings, the system automatically removes promotions like "First Month Free" or dials them back to a lesser discount (e.g., "10% off for 3 months"). The Economic Impact: By limiting discounts strictly to low-demand units, operators stop bleeding cash on highly desirable spaces, immediately pushing the actual collected cash closer to the baseline GPR.

Systematic Existing Customer Rate Increases (ECRIs) - The fastest way to fix an economic occupancy deficit is to make sure long-term tenants are paying true market rates. Automated software triggers programmatic, rolling price bumps based on tenant length of stay.

Once a tenant hits month six or nine, the algorithm evaluates their specific unit type against current street rates and local competitor behavior. It then prints out a scheduled 8% to 15% rate expansion notice.  The "Stickiness" Edge: Because the psychological and physical friction of moving out of a storage unit is incredibly high, self-storage customers are exceptionally "sticky". The software mathematically assumes a very low friction-churn rate, successfully elevating the total recurring monthly revenue collected across hundreds of existing units without needing a single new customer.

The Ultimate Goal: Solving the "Occupancy Paradox" Amateur storage owners rejoice when their building hits 100% physical occupancy, but institutional players like REITs and private equity firms view 100% occupancy as a structural failure. If a building is completely full, it means the spaces were priced far too low. Dynamic pricing engines purposefully manage a property to hover between 88% and 93% physical occupancy. By leaving a calculated buffer of empty units, the algorithm can ruthlessly push street rates to historic highs, capturing every possible dollar from incoming traffic and forcing economic occupancy to tightly track-and sometimes even exceed-the baseline physical layout.