By Dr. Ahmet Kuyumcu

aising existing tenant rents is one of the most powerful and most misunderstood pricing levers in self-storage. Done correctly, it compounds revenue year after year without sacrificing occupancy. When done poorly it triggers churn, negative reviews, and even regulatory scrutiny.The self-storage industry is learning this lesson the hard way. A landmark lawsuit in New York City, restrictive new legislation in California, and a rising tide of consumer complaints have put in-place rent increases squarely in the crosshairs of regulatory agencies.

The core problem, however, isn’t rent increases themselves. It’s the systematic reliance on a flawed shortcut: use artificially low move-in rates to attract customers, fill units quickly, and “make it up later” through aggressive in-place increases. This isn’t true revenue management; it is occupancy maximization disguised as pricing strategy.

Effective revenue management treats pricing as a true business discipline—one grounded in data, segmentation, behavioral economics, and a genuine understanding of customer value.

In February 2026, New York City’s Department of Consumer and Worker Protection (DCWP) filed a landmark lawsuit against Extra Space Storage, the first time the agency has sued a self-storage company. The complaint accuses Extra Space of a “classic bait-and-switch scheme”: Lure consumers in with low advertised rates, then sharply increase those rates shortly after move-in. The case cites examples, including one Queens customer whose rate jumped 165 percent within three months of move-in without advanced notice.

Extra Space has publicly stated it disagrees with the claims and is reviewing the matter. Regardless of the legal outcome, the implications are clear: Extreme rate volatility for a customer invites regulatory attention. In a digital-first environment, reputation is a downstream revenue driver that many operators dangerously underestimate. A single viral complaint or a “predatory” label from a regulator can depress move-ins long before a case reaches resolution.

We are seeing a shift from “buyer beware” to “operator beware.” New York’s Local Law 171 now requires self-storage operators to obtain licenses. California’s SB 709, passed in 2025, requires operators to disclose in every rental agreement whether the rate is promotional, whether it is subject to change, and the maximum rate that could be charged in the first 12 months. High-density urban markets with active consumer advocacy communities are natural candidates for similar legislation.

Regulators are not targeting discounts; they are targeting opacity. There is a clear distinction between strategic discounting and a “bait-and-switch” scheme. When a discount is used as a transparent bridge to a standard rate, it is reasonable. When it is used to lock in a customer before an unannounced spike, it becomes a liability.

Regulators are also not targeting pricing science or revenue management. They are imposing boundary conditions on pricing behavior. And as any revenue management practitioner knows, tighter constraints don’t eliminate the need for optimization; they increase the need for it. When in-place increases carry greater legal and reputational risk, getting move-in pricing right the first time becomes even more valuable. This requires more pricing science, not less.

There is a fundamental asymmetry in how new and existing customers experience price changes. New customers can compare facilities and select the best offer. Existing customers, with belongings already in place, face real switching costs that make them comparatively less price sensitive. Bait-and-switch attempts to exploit this asymmetry, and it creates three structural vulnerabilities.

Customers who move in because you were cheapest are, by definition, highly price sensitive. They are the most likely to react negatively to increases, carry delinquencies, or leave one-star reviews. This fills units with fragile revenue. Conversely, customers who move in at a price that reflects real asset value, such as location, security, cleanliness, convenience, or service quality, made a value-based decision. They stay longer, pay more reliably, and tolerate well-communicated increases because the value proposition was established from day one.

Daniel Kahneman, Nobel Prize winner in economics, demonstrates that individuals evaluate outcomes relative to a reference point rather than in absolute terms. In self-storage, the move-in rate becomes that reference point or anchor. Three well-established behavioral principles apply:

• Anchoring Effect – Customers anchor on the initial move-in rate as the “fair price.” Future increases are judged relative to that anchor, not relative to market value.
• Loss Aversion – A rent increase is felt twice as strongly as an equivalent discount.
• Fairness Heuristics – Consumers accept price increases when they perceive them as justified. They react strongly when they perceive manipulation.

A customer who moves in at $60 and goes to $100 at month four feels exploited. A customer who moves in at $85 and goes to $100 at month six feels adjusted. The math may be similar. The psychology is entirely different.

Self-storage is largely a fungible asset. A 10-by-10 climate-controlled unit in a well-maintained facility is broadly interchangeable with its equivalent two blocks away. Price is easy to communicate—differentiation is not. When multiple operators adopt bait-and-switch, move-in prices collapse, customers learn to shop purely on price, aggressive in-place increases become necessary to recover revenue, volatility rises, and regulators take notice.

This is a classic negative-sum equilibrium: Everyone works harder, customers are less satisfied, regulatory risk rises, and long-term revenue declines.

Other industries faced regulatory overhaul after teaser pricing eroded trust and destabilized their markets. Subprime mortgages promoted low teaser rates that reset sharply higher, loan volume surged short-term, then default shocks and regulatory overhaul reshaped the industry. The 2009 CARD Act imposed strict disclosure requirements on credit cards after opaque repricing mechanics became the norm. Telecom and cable providers trained customers to distrust advertised rates and negotiate aggressively at renewal. Pricing wars rarely produce winners.

The most effective way to make in-place rent increases sustainable is to get the move-in price right from the beginning. When your pricing is right, the anchor is appropriate, the fairness baseline is stable, future increases require less correction, and revenue volatility declines.

This is not about charging more; it is about charging optimally.

Profitable pricing starts with differentiating units by the value drivers customers care about. Sophisticated street rate optimization evaluates unit attributes, inquiries, reservations, incentives, occupancy levels, vacant days, length-of-stay distribution, in-place rents, competitive rents, price and promotion sensitivity, and move-in and move-out forecasts. The goal is not maximum occupancy. The goal is maximum sustained revenue.

Operators who invest in this kind of pricing science don’t need to lead with a loss to fill units. And because their customers moved in at appropriate prices, in-place increases don’t need to be aggressive. They can be moderate, transparent, and framed as a natural continuation of a fair customer relationship.

The move-in price is the foundation upon which every future interaction is built. When that price is right, every subsequent rent increase becomes easier to implement, more effective in yield, and significantly less contested.

Timing rent increases using length-of-stay distributions and leveraging rental attributes to identify where adjustments are economically justified turns this into a genuine risk management exercise: Capture reasonable rent growth while minimizing the probability of move-outs. The goal is the right increase, to the right customer, at the right time.

Transparency is not simply a compliance requirement; it is a revenue protection strategy. Clear, proactive communication reduces perceived unfairness, complaint intensity, negative reviews, and churn. Customers who understand and value what they are paying for respond far more constructively to price changes than those who feel surprised or misled. When trust is established, rational increases are far more likely to be accepted.

The regulatory environment is tightening, and it will continue to do so. Operators who view this as a threat are missing the more important point: The bait-and-switch model was never sound revenue management. It was a workaround that prioritized short-term occupancy for long-term revenue.

The path forward is pricing as a business discipline: value-based segmentation that reflects what your product is genuinely worth; sophisticated optimization algorithms that balance street rates, promotions, occupancy, and existing customer increases across all segments; and a commitment to transparency that builds long-term customer relationships rather than exploiting short-term switching costs.

Operators who get this right will find that rent increases don’t need to be aggressive to be effective. They need to be smart. And in a market where lawmakers are watching and every bad review is permanent, smart is also the safest strategy of all.