From Washington to London: How a Second Trump Presidency Could Reshape Self-Storage Investments

Since Donald Trump’s return to the White House in January 2025, a flurry of executive orders has begun reshaping the economic landscape, introducing trade barriers, deregulation, and federal workforce reductions. The administration’s decision to reintroduce tariffs—25% on imports from Mexico and Canada and 10% on imports from China—has already triggered economic uncertainty. These policies, combined with plans to cut federal employment by hundreds of thousands of jobs, could have far-reaching effects on inflation, interest rates, and investment flows. For the self-storage industry, the shifting economic terrain presents both challenges and opportunities.

A Strong Market Meets Economic Uncertainty

he self-storage industry entered 2025 in relatively strong shape. In Europe, M&A activity surged in 2024, with transaction volumes reaching €875 million by the end of the year—triple the volume seen in 2023. An additional €546 million in pending deals suggests another record-breaking year is possible. Institutional investors have been particularly active, drawn by self-storage’s resilience amid high interest rates and an uncertain economic climate. In the US, despite economic headwinds, private equity and real estate investment trusts (REITs) continued to pursue acquisitions, albeit with more selective criteria.

However, with Trump’s policy shifts now in motion, the outlook for self-storage investment, development, and operations is evolving rapidly.

Capital Markets and Interest Rates: A New Dynamic for Investment

One of the biggest uncertainties facing the industry is how the Federal Reserve will respond to the administration’s trade policies. If tariffs push inflation higher, the Fed may be forced to maintain or even increase interest rates rather than pivot to rate cuts as some had anticipated. This would make financing for self-storage acquisitions and developments more expensive, potentially slowing down expansion plans. While liquidity remains available, the rising cost of capital is already forcing investors to reassess deal structures, with an increasing reliance on private debt, joint ventures, and sale-leasebacks.

In Europe, the effects of US policy may be more indirect but still significant. Many US-based funds have been active in the European self-storage sector, and a shift in capital allocation priorities—whether due to trade disputes, economic uncertainty, or higher US yields—could lead to a cooling of the recent M&A momentum. A survey by the American Chamber of Commerce to the European Union recently indicated that 90% of US firms operating in Europe expect transatlantic relations to deteriorate under the new administration, a factor that could further impact capital flows into European self-storage assets.

Development Costs and Supply Chain Disruptions

Tariffs on steel and aluminum imports are set to increase development costs for self-storage projects across all markets, as steel remains a core component of facility construction worldwide. Rising costs could impact both new builds and expansions, particularly for operators relying on prefabricated steel structures. Additionally, electronic components—essential for modern self-storage operations, including access control systems, kiosks, and AI-driven facility management—could also see price increases due to trade restrictions and supply chain disruptions.

Beyond tariffs, broader geopolitical uncertainty—such as trade disputes between major economies, regional conflicts, and shifting diplomatic alliances—poses further risks to supply chain stability. Delays in material shipments, fluctuating costs, and restricted access to key technologies could complicate project timelines. Operators and developers who planned expansions under the assumption of stable material costs may now face budget overruns or project delays, requiring more flexible sourcing strategies and contingency planning.

M&A Activity: Will the Boom Continue?

With self-storage proving resilient through past economic cycles, many investors see it as a safe haven in uncertain times. However, rising costs and borrowing constraints could dampen the aggressive deal-making seen in the past two years. If capital remains expensive and operating costs rise, larger operators may shift focus from acquisitions to organic growth, maximizing yield from existing portfolios rather than aggressively expanding.

At the same time, the current climate could create new acquisition opportunities. If higher costs pressure smaller operators, consolidation could accelerate, with major players acquiring distressed assets at more attractive valuations. This could be particularly true in secondary US markets, where smaller operators with weaker balance sheets may struggle with financing challenges.

Looking beyond the US and Europe, shifts in capital market conditions could also influence the international expansion strategies of large self-storage operators. If US capital markets tighten, major REITs and investment funds may turn their attention to alternative growth regions, such as the Middle East or Eastern Europe, where supply-demand fundamentals remain favorable, and regulatory environments are more stable. European operators, too, may seek opportunities in less traditional markets as a hedge against potential transatlantic instability.

Consumer Behavior & Demand Trends

Beyond investment and development, Trump’s policies could also have a more direct impact on self-storage demand. Economic uncertainty often leads to increased demand for storage, as individuals downsize and businesses look for cost-effective space solutions. If tariffs and inflation put pressure on consumer spending, more people may seek temporary storage solutions while adjusting their living arrangements. Businesses, particularly those affected by supply chain disruptions, could also turn to self-storage as an alternative warehousing solution to manage fluctuating inventory needs.

Historically, self-storage has performed well in both economic booms and downturns. However, if household disposable incomes shrink due to inflation or job losses from federal workforce reductions, discretionary spending may be impacted. This raises the question of whether demand will shift more toward budget-conscious storage options, or if price sensitivity will lead to changes in consumer behavior across different self-storage market segments.

A Longer-Term Perspective: What Happens Post-Trump?

While investors must navigate the near-term effects of the current administration’s policies, there is also the question of what happens beyond this term. Trump’s economic policies—particularly on trade, taxation, and deregulation—could be reversed by a future administration, making long-term investment strategies more complex. Investors weighing expansion or acquisitions must consider not just the immediate policy landscape but also the likelihood of regulatory shifts in the next political cycle.

Looking Ahead: What to Expect in the Coming Months

While self-storage remains one of the most resilient real estate sectors, the second Trump administration introduces new variables that investors and operators must navigate. Higher interest rates, supply chain disruptions, and shifting capital flows could all reshape the landscape.

In the US, much will depend on whether inflation forces the Fed to maintain a restrictive monetary policy stance. If borrowing costs remain high, we could see a slowdown in new developments and a more selective approach to acquisitions. Meanwhile, in Europe, transatlantic tensions could impact investment flows, and developers will need to assess how tariffs and rising costs might influence project feasibility.

Ultimately, self-storage has historically adapted well to changing economic conditions, and despite the challenges, new opportunities will emerge. Whether through strategic acquisitions, alternative financing models, or operational efficiencies, industry leaders will need to remain agile to capitalize on the evolving market dynamics. The next few months will be critical in determining how Trump’s policies reshape the sector—and whether the recent boom can continue in a more uncertain global economy.

Self-Storage Marketing in the Digital Age

Embracing AI, SEO, and Emerging Trends

In the dynamic landscape of the self-storage industry, marketing strategies are continually evolving to meet changing consumer behaviors and technological advancements. This evolution has seen a shift from traditional advertising channels to digital platforms, and now, the integration of artificial intelligence (AI) is poised to redefine how facilities attract and retain customers.

The Decline of Traditional Marketing Channels

For decades, self-storage operators relied on traditional marketing methods such as print advertisements, direct mail campaigns, and directory listings to attract customers. These channels were effective when consumers relied on physical resources to discover local businesses, but with the widespread adoption of the internet, their relevance has dwindled.

Print advertisements in newspapers and magazines have lost much of their audience to online publications and digital news consumption. The cost of radio and TV commercials remains high compared to the precision of digital targeting. Even Yellow Pages and printed business directories, once the go-to source for self-storage searches, have become virtually obsolete, with most people now searching for services online.

However, not all traditional methods have lost their value. Billboards remain effective in high-traffic areas, offering continuous brand exposure. Sponsoring community events and charities fosters goodwill and trust, positioning a facility as a familiar and reliable presence in the neighborhood. Direct mail, though significantly reduced in use, can still be effective when targeted carefully, such as sending promotions to newly relocated residents.

The Digital Transformation of Self-Storage Marketing

Digital marketing is now the dominant force in self-storage promotion. As consumer habits shift, online search and digital engagement have become the primary means of discovering and selecting a self-storage facility.

According to the CBRE and FEDESSA 2024 industry report, the percentage of initial enquiries received through company websites has increased from 64% in 2023 to 67% this year, underscoring the critical importance of a strong digital presence. Google remains the leading search engine, and facilities that invest in search engine optimization (SEO) and pay-per-click (PPC) advertising enjoy higher visibility when potential customers look for storage solutions. Having a well-optimized Google My Business profile ensures a facility appears in local search results and on Google Maps, further increasing its chances of attracting renters. Equally important is leveraging Google Maps effectively to ensure that facilities get ranked properly and listed at the top, which requires maintaining accurate information, collecting positive reviews, and optimizing for local search algorithms.

Social media and content marketing have also emerged as essential tools for engaging customers. Platforms like Facebook, Instagram, and YouTube allow operators to showcase their facilities, provide moving tips, and share customer testimonials. Influencer marketing is an increasingly popular strategy, with studies showing that 82% of consumers trust recommendations from influencers and personal connections over traditional advertisements. Partnering with local influencers, real estate agents, and moving companies can provide authentic, trusted endorsements to potential renters.

The Role of Artificial Intelligence in Self-Storage Marketing

The integration of artificial intelligence is beginning to reshape marketing in self-storage, with AI-driven tools offering new ways to enhance customer engagement, optimize pricing, and refine advertising strategies. But beyond these immediate applications, the broader question looms—could AI-driven search engines like ChatGPT eventually replace Google as the primary way customers find self-storage facilities?

Today, when someone needs a storage unit, they typically type a query into Google, such as “self-storage near me” or “climate-controlled storage in Madrid.” The search engine then returns a list of paid advertisements, organic results, and map listings. However, AI-driven search models like ChatGPT and other conversational AI assistants may soon disrupt this process by providing direct, conversational responses without requiring users to browse multiple links.

For example, instead of sifting through Google search results, a customer could ask ChatGPT:

  • “What are the best-rated self-storage facilities near me with 24/7 access?”
  • “Who offers the lowest price on a 10m2 unit near me?”
  • “Which self-storage operators provide climate-controlled options and moving truck rentals?”

ChatGPT and similar AI models can aggregate real-time data, pull insights from reviews, and cross-check various databases to provide a direct answer, eliminating the need for a customer to visit multiple websites to compare options. This could make AI-powered search a more efficient tool for consumers, potentially reducing Google’s dominance in local business searches.

For self-storage operators, this shift presents both challenges and opportunities. To ensure that AI-driven tools recommend their facilities over competitors, businesses must optimize their online presence for AI compatibility. This includes:

  • Maintaining up-to-date and structured data: AI models pull data from various online sources, including Google My Business, customer reviews, and directory listings. Ensuring all business information is accurate, consistent, and well-documented increases the likelihood of being recommended.
  • Encouraging detailed customer reviews: AI relies on customer feedback to assess reputation and service quality. Operators should actively seek reviews, particularly those that highlight unique features such as security, accessibility, and pricing.
  • Utilizing conversational SEO: Unlike traditional keyword-based search optimization, AI-driven search tools prioritize natural language queries. Websites should incorporate FAQ sections and blog content that mirror how people ask questions in everyday conversations.
  • Leveraging AI-powered chatbots: Implementing AI chatbots on facility websites can provide instant customer support, answer inquiries, and guide potential renters through the booking process, increasing engagement and conversion rates.

Preparing for an AI-Driven Future

As AI technology advances, businesses that proactively adapt to these changes will have a significant advantage. Rather than waiting for AI-driven search to fully replace Google, self-storage operators should begin integrating AI into their marketing strategies now. This means refining digital touchpoints, leveraging structured data, and ensuring that AI-driven assistants can access and interpret their business information accurately.

The self-storage industry is at a pivotal moment. Traditional marketing is becoming obsolete, digital marketing has taken center stage, and AI-driven search is on the horizon. By staying ahead of these trends, operators can ensure that they remain competitive in an increasingly AI-driven world.

Revenue Management in Self-Storage: Strategies for Sustainable Pricing

Revenue management has transformed industries like aviation, hospitality, and car rentals by enabling businesses to dynamically adjust pricing based on real-time demand and supply conditions. Airlines use sophisticated algorithms to predict booking trends, allowing them to maximize revenue by charging higher prices for high-demand flights and offering discounts to fill empty seats. Hotels modify room rates depending on occupancy levels, competitive pricing, and booking windows, while car rental companies adjust prices based on seasonality, location demand, and vehicle availability. By optimizing pricing strategies, these industries reduce revenue leakage and make more efficient use of available inventory. Can revenue management principles be effectively adapted to the self-storage industry, or do its unique characteristics require a different approach?

At first glance, self-storage seems to fit the revenue management model—it consists of perishable inventory, where every vacant unit represents lost revenue that can never be recovered. However, self-storage is different in fundamental ways: customer demand is need-driven, price sensitivity is high, and once a unit is rented, customer interaction is minimal. These differences mean that while elements of revenue management can be applied, self-storage requires a modified approach that balances revenue optimization with customer retention and market competitiveness.

Understanding Revenue Management and Its Core Principles

Revenue management is the practice of dynamically adjusting prices based on demand, supply, and customer behavior to maximize income. It relies on key strategies such as:

  • Demand Forecasting: Predicting how demand will fluctuate based on historical data and market trends.
  • Segmentation: Differentiating customers based on willingness to pay and usage behavior.
  • Price Elasticity: Understanding how sensitive customers are to price changes.
  • Inventory Control: Optimizing pricing based on real-time availability.

Industries that thrive on revenue management, such as airlines and hotels, rely on high transaction volumes, frequent customer interactions, and a strong sense of urgency in purchasing decisions. High transaction volumes generate large datasets, enabling sophisticated demand forecasting and dynamic pricing models. Frequent transactions allow businesses to adjust pricing in real time based on evolving patterns, ensuring maximum revenue optimization. Urgency in purchasing—such as last-minute flight bookings or hotel stays—creates an opportunity to implement surge pricing when demand spikes, as customers facing immediate needs are typically less price-sensitive and more willing to pay a premium.

In contrast, self-storage customers rent out of necessity rather than impulse, tend to keep their units for extended periods, and rarely make repeat transactions. This lack of continuous transactions and immediate purchasing urgency makes it difficult to apply traditional revenue management models, which depend on rapid price adjustments and frequent customer interactions to optimize pricing strategies.

The Limitations of Traditional Revenue Management in Self-Storage

Applying revenue management to self-storage without modification would result in continuous price fluctuations driven by limited and often unreliable data, leading to unpredictable and unstable pricing patterns. Unit rates would fluctuate frequently, with steep increases during high-demand periods, potentially threatening occupancy, while units with lower demand might see deep discounts that erode profitability. Existing tenants could face abrupt rent hikes, creating dissatisfaction and higher churn.

This model, which works well in high-transaction industries, does not account for self-storage’s long-term rental behavior, limited customer engagement, and strong price sensitivity. Unlike industries with frequent transactions and high urgency, self-storage operates on a need-based model where customers typically rent due to life events such as moving, downsizing, or business storage needs. Because this demand pattern is unpredictable and driven by life events rather than market trends, it does not respond consistently to dynamic pricing tactics, making traditional revenue management strategies outright inadapted to self-storage.

Unlike hotels and airlines, where frequent transactions and daily pricing adjustments allow for real-time revenue optimization, self-storage operates on a far slower cycle. Customers typically make a one-time rental decision and may keep their unit for months or years, leaving little room for continuous price recalibration. Additionally, self-storage pricing is highly competitive, and customers tend to choose facilities based on price and location rather than brand loyalty or added amenities. A sharp rent increase, even if justified by market trends, risks pushing tenants toward competitors, making aggressive pricing adjustments far less effective than in industries with greater pricing flexibility.

Another key challenge is the trade-off between short-term revenue gains and long-term tenant retention. While revenue management often prioritizes immediate profit maximization, aggressively increasing rents in self-storage can result in higher churn, prolonged vacancies, and ultimately reduced profitability. For revenue management to be effective in self-storage, it must be adapted into a pricing strategy tailored to the industry’s specific dynamics—one that considers occupancy trends, unit value differentiation, customer retention, and the varying price sensitivity of different customer segments rather than relying solely on automated price fluctuations.

Developing a Revenue-Driven Pricing Approach for Self-Storage

Because traditional revenue management does not fully align with self-storage, operators must adapt their pricing strategies to reflect the industry’s unique characteristics. This means balancing revenue optimization with long-term occupancy stability by considering factors such as unit demand, customer segmentation, and market conditions.

1. Pricing Based on Occupancy Trends

Rather than setting prices and leaving them unchanged for long periods, operators should adjust rates based on occupancy levels and market conditions. For example, if 85% of a facility’s 5m² units are occupied while only 50% of the 15m² units are in use, it makes sense to increase rates on the smaller units while potentially offering limited-time incentives on the larger ones.

However, this approach is only applicable when there is a sufficient number of units in a particular size category to generate meaningful data. If a facility has only three 3m² units and two are rented, the 67% occupancy rate may seem high, but the sample size is too small to justify a pricing increase. Pricing adjustments should be based on statistically significant data to avoid misleading trends.

A simple model could work as follows:

  • When occupancy of a specific unit type surpasses 80% in a sufficiently large inventory set, increase the rental rate by 5-10% for new tenants.
  • If occupancy falls below 60%, consider slight reductions or promotional offers to stimulate demand.

This approach ensures operators capitalize on demand while keeping pricing fair and data-driven.

2. Customer Segmentation and Value-Based Pricing

Self-storage units within the same facility can have vastly different perceived values. A 10m² unit on the ground floor, next to the main entrance, is significantly more convenient than a unit of the same size on the third floor at the end of a corridor. While both provide identical storage space, customers are often willing to pay more for accessibility and convenience. This tendency to perceive and assign value differently is not unique to self-storage. In real estate, for example, apartments on higher floors with better views command higher prices even if their square footage is the same as those on lower levels. Similarly, airline passengers pay extra for exit-row seats or business class, even though they’re all heading to the same destination. Recognizing these preferences allows self-storage operators to apply value-based pricing strategies that reflect what customers truly prioritize.

A well-structured pricing model could include:

  • Premium Location (Ground floor, near entrance, drive-up access): 15-20% higher than standard units.
  • Climate-Controlled Units: 10-15% premium.
  • Units with Extra Security Features (e.g., CCTV coverage, additional lighting): 5-10% increase.
  • Top-Floor or End-of-Corridor Units: Priced slightly lower to balance desirability.

Beyond unit characteristics, not all customers have the same price sensitivity or storage needs. Some customers prioritize affordability above all else, while others are willing to pay a premium for convenience, security, or flexibility. For example, businesses that use self-storage for inventory or document archiving may be less price-sensitive than a student looking for temporary summer storage. Similarly, customers seeking long-term storage solutions might accept gradual rent increases more readily than short-term renters who are highly cost-conscious.

Understanding these different customer segments allows operators to refine pricing strategies even further. By tailoring promotions, lease terms, and pricing structures to different customer needs, self-storage businesses can optimize revenue while maintaining strong occupancy.

By differentiating pricing within the facility and considering customer segmentation, operators can maximize revenue without requiring more customers or expanding storage space.

3. Managing Rent Increases for Existing Tenants

Long-term customers are often undercharged due to outdated pricing structures. Many operators hesitate to raise rents on existing tenants, fearing churn. However, when done correctly, gradual and well-communicated rent increases can significantly improve revenue without significantly affecting occupancy.

A structured approach can help:

  • Regular but Small Adjustments: Increasing rents annually by 3-5% minimizes sticker shock.
  • Transparent Communication: Informing tenants about rate increases ahead of time, emphasizing facility improvements and market conditions, can ease resistance.
  • Flexible Offers for Retention: Offering minor discounts for prepayments or extended lease agreements can keep loyal tenants engaged while still increasing revenue.

4. Retaining Customers: A Cost-Efficient but Challenging Strategy

Acquiring new customers is significantly more expensive than retaining existing ones, making customer retention a critical aspect of self-storage operations. Operators focus mainly on attracting new tenants through promotions while overlooking the importance of tenant retention.

To enhance customer retention, operators can:

  • Offer loyalty discounts for long-term tenants, such as a percentage discount on monthly rent for long-term leases, or a free rental period after a set number of months.
  • Provide flexible lease options, such as the ability to switch unit sizes without penalties, at anytime or additional perks like 24-hour access and services such as merchandise or mail reception, catering to customers with varying storage needs.
  • Improve customer experience with well-maintained, secure facilities.
  • Use AI-driven customer engagement tools to maintain relationships, such as automated reminders for lease renewals, personalized promotions based on tenant history, and chatbots for quick customer support.

Implementing these pricing strategies is essential for optimizing revenue and ensuring long-term occupancy stability, but self-storage operators must also recognize the inherent challenges. Since demand is largely driven by necessity, retaining customers can be difficult when their need for storage naturally comes to an end. Even with well-structured incentives and exceptional service, some tenants will inevitably move out once their circumstances change. This makes it crucial for operators to strike a balance—maximizing revenue while maintaining a competitive, customer-friendly pricing approach that encourages longer stays whenever possible.

The Role of Technology in Pricing Optimization

Property management software vendors have recognized the necessity of integrating an adapted revenue management strategy and are continuously enhancing their platforms to support dynamic, data-driven pricing models in self-storage. These advancements allow operators to make informed, real-time pricing decisions based on occupancy trends, market fluctuations, and customer behavior, ensuring a more precise and strategic approach to revenue optimization. Advanced property management systems now enable automated pricing adjustments that react dynamically to shifts in demand, occupancy, and competitive trends. By leveraging AI-powered tools, self-storage businesses can optimize revenue while reducing the risk of human error or emotional decision-making.

These systems analyze key factors such as:

  • Occupancy Rates – Automatically adjusting prices when certain unit types reach predefined thresholds.
  • Competitor Pricing – Monitoring local competitors’ rates in real-time to maintain competitive positioning.
  • Seasonal Demand – Identifying recurring fluctuations in demand and adjusting pricing accordingly.
  • Customer Behavior Analysis – Understanding rental patterns to forecast move-outs and renewal probabilities.

Platforms such as Kinnovis, Stora, Storganize, Yardi Breeze, storEDGE, Storable, and Prorize offer integrated revenue management tools that help self-storage operators refine pricing dynamically, ensuring competitiveness and profitability.

By using these advanced tools, self-storage operators can transition from static, intuition-based pricing to a more sophisticated, data-backed approach that maximizes revenue while maintaining customer satisfaction.

Conclusion: A Balanced Approach to Pricing in Self-Storage

A well-executed pricing strategy is not just about maximizing revenue—it is essential for preventing revenue leakage and ensuring continuous income growth, particularly for stabilized properties where opportunities to acquire new customers are limited. In self-storage, where traditional revenue management models are not always effective, operators must strike a balance between adapting pricing dynamically and maintaining occupancy stability. Leveraging data-driven pricing strategies, understanding customer segmentation, and utilizing technology can allow operators to refine their approach and capture additional value without sacrificing tenant retention. The challenge remains—how can self-storage businesses continue evolving their pricing models to stay competitive while fostering sustainable long-term growth?