Summary
tion pricing has moved well beyond software and streaming. From London barbershops to car washes and B2B maintenance services, more businesses are testing recurring revenue models. But a subscription is not automatically a better pricing strategy. It must fit customer behavior, capacity, usage patterns, and the business’s real growth goals.
Key takeaways
- A subscription should solve a clear business problem, such as churn, loyalty, or demand planning.
- Fixed-capacity businesses face different risks from software and streaming companies.
- Unlimited-use offers can attract loyal, price-sensitive customers who place heavy demands on capacity.
- B2B services may be a stronger fit when visits can be scheduled and resources planned.
- Subscription fatigue is real, and poorly timed price increases can trigger cancellations.
- Pricing decisions work best when supported by industry context, data, and practical implementation.
Why subscriptions are spreading
The conversation started with an unexpected example: a London barbershop offering monthly haircut subscriptions. One plan reportedly included unlimited haircuts for about £55 a month, with a haircut-and-beard option costing around £66.
At first glance, the offer seems attractive. Customers who already visit regularly can lock in a predictable monthly cost. The barbershop, meanwhile, gains recurring revenue and a closer relationship with its customers.
But the right question is not simply, “Can we sell this as a subscription?” It is, “What business problem is the subscription meant to solve?”
A company may be trying to:
- Improve customer retention.
- Reduce churn.
- Increase customer lifetime value.
- Make demand more predictable.
- Encourage customers to use more of the service.
Revenue Management Labs takes this practical view of pricing. The model needs to match the company’s industry, customer behavior, data, and operating reality. Recurring revenue by itself is not a strategy.
The capacity problem in fixed-resource businesses
Unlimited subscriptions can work well for software and streaming platforms because the cost of adding one more user is often relatively low. A new customer can log in, watch content, or use a platform without taking a physical resource away from another customer.
A barbershop is different. It has a limited number of chairs, barbers, and hours in the day. A car wash faces similar constraints. Once the site is full, the business cannot serve more customers without adding equipment, staff, or physical space.
That creates several risks:
- Subscribers may use the service more than expected. Someone who normally gets a haircut every few months may not suddenly visit twice a month. But regular customers may take full advantage of an unlimited plan.
- Peak-time capacity can disappear. If subscribers fill Saturdays and Sundays, full-price customers may struggle to book appointments.
- New customer acquisition may slow. A walk-in customer who cannot find an opening may never return.
- Capital requirements can rise. Expanding a barbershop or car wash requires much more investment than adding users to a digital platform.
This is where capacity management becomes part of pricing. A business may need appointment restrictions, blackout periods, usage limits, or different plans for peak and off-peak times. The offer should be designed around actual demand, not just a target for recurring revenue.
Who benefits from an unlimited offer?
An unlimited subscription often attracts the customers most likely to use it heavily. It can also appeal to loyal customers who were already spending close to the monthly fee.
That raises an important revenue question: Is the company creating new demand, or simply discounting demand that already existed?
A customer who normally spends £60 a month may see a £55 plan as a good deal, even if the business has not gained anything. The customer may also visit more often, increasing labor and capacity costs.
The model can still work, but the economics need to be clear. Businesses should examine usage by customer segment before launching the offer. AI-supported analysis can help identify patterns in visit frequency, peak-time demand, churn risk, and customer profitability. It should support pricing judgment, not replace it.
Tipping behavior also matters. In a traditional service business, tips may contribute meaningful profit. Once customers pay a recurring fee, they may feel less inclined to tip on every visit. That change should be included in the business case.
Why B2B subscriptions can be a better fit
Subscription models may be more useful in B2B services where work can be scheduled in advance. Consider a maintenance business that traditionally sends technicians only when something breaks.
A recurring service agreement can create more predictable demand. Visits can be staggered, technician capacity can be planned, and customers may become more loyal because the provider is involved before problems become urgent.
There may also be opportunities for additional value. A trained technician visiting regularly can spot repairs, upgrades, or cross-sell opportunities. Unlike an unlimited haircut plan, the subscription can improve both planning and the quality of the customer relationship.
The fit depends on the service. Some work is easy to schedule and standardize. Other services are too unpredictable to package effectively. A customized pricing review can help separate the offers that support recurring revenue from those that create unnecessary cost and complexity.
Subscription fatigue is changing customer behavior
Consumers now manage monthly charges for music, video, apps, fitness, food, and many other services. The individual price of each subscription may look reasonable, but the total can become substantial.
That creates subscription fatigue. Customers regularly review their credit card statements and cancel services they no longer use. In some cases, businesses now offer tools that find and cancel unwanted subscriptions—a subscription built around canceling other subscriptions.
B2B buyers face a similar issue. Old agreements often continue year after year as budget line items, even when usage has fallen. This can create opportunities for price improvement, but it also means customers are becoming more aware of what they pay for and whether they receive value.
Price increases can trigger avoidable churn
One of the biggest execution mistakes is applying a price increase without considering customer usage.
If a customer has not opened a streaming service in six months, a price increase email may remind them that the subscription still exists. If a gym member has not visited in three months, the same message can prompt cancellation.
A better approach is to segment customers before changing prices. Usage, tenure, value received, and churn risk should all inform the decision. In some cases, holding the price steady for low-usage customers may be better than sending a reminder that leads directly to cancellation.
This is the kind of detail that makes pricing strategy stick. Revenue Management Labs combines pricing expertise, embedded AI, and hands-on implementation to connect analysis with decisions teams can actually use.
Will subscriptions keep expanding?
Subscriptions are probably not at their peak. More businesses will test recurring models, including some categories that seem unusual today. But growth alone does not prove that a subscription is the right answer.
Leaders should ask:
- Does the model improve retention or simply lower price?
- Can operations handle the expected usage?
- Will subscribers block higher-value customers?
- Is demand predictable enough to schedule capacity?
- Does the customer receive clear, ongoing value?
- How will price increases affect different usage segments?
The future of subscription pricing will not be about putting every product behind a monthly fee. It will be about finding the industries and customer situations where recurring revenue improves both the customer experience and the economics of the business.
