Classification of Services: Strategic Insights and Examples

A five-minute haircut and a corporate loan approval are both “services,” yet they have almost nothing in common in terms of how they are delivered, priced, or marketed. That is the core problem with treating the services sector as one giant, undifferentiated category. Services already make up over half of India’s economic output, according to industry data on India’s services sector, and that scale spans everything from a neighbourhood tailor to a multinational IT consultancy. Grouping all of it under one label tells a marketing manager almost nothing useful. This is exactly why services marketing scholars developed multiple classification frameworks: to sort services into clusters that actually share strategic characteristics, so managers running very different businesses can still learn from one another.

Why one label isn’t enough 🔗

Think about what a hospital, a cable TV provider, and a car wash have in common on paper: none of them sell a physical product. But their operations couldn’t be more different. A hospital works directly on people’s bodies and needs high customer trust and empathy. A cable provider needs to manage an ongoing subscription relationship. A car wash mostly runs on automated equipment with almost no customer interaction. Classification schemes exist to pull out these underlying differences so that marketing strategy, pricing, staffing, and even location decisions can be built around the right model rather than a generic “services” template.

What is the service act actually directed at 🔗

One of the most widely taught frameworks comes from services marketing scholar Christopher Lovelock, who argued that the diversity of the service sector makes broad generalisations unhelpful, and proposed five distinct classification schemes that look past industry labels to find shared marketing characteristics. The first and most intuitive of these looks at two questions: who or what receives the service, and whether the act itself is tangible or intangible.

According to this framework, discussed in detail in academic coverage of Lovelock’s service categories, services fall into four broad groups based on this matrix.

Services directed at people 🔗

These include people processing services, which are tangible actions performed on a person’s body, such as healthcare, salons, or passenger transport. They also include mental stimulus processing services, which are intangible actions aimed at a person’s mind, such as education, broadcasting, or entertainment. Both require the customer to be physically or mentally present during delivery, which raises the stakes on service quality since there is no “redo” without the customer noticing.

Services directed at possessions 🔗

On the other side sit possession processing services, tangible actions performed on things a customer owns, like vehicle repair, dry cleaning, or freight transport. And there is information processing, intangible actions on intangible assets, covering banking, insurance, legal services, and data processing. Here the customer often doesn’t need to be present at all, which opens up very different delivery and convenience strategies compared to people-directed services.

The practical takeaway for a marketer is that people-directed services need investment in physical environment, staff behaviour, and comfort, since the customer is right there watching the process unfold. Possession- and information-directed services, on the other hand, can often be automated, outsourced, or delivered remotely, since the customer doesn’t need to witness the process at all.

How the service relates to the customer over time 🔗

A second classification question asks what kind of relationship the organisation has with its customers, and how service delivery is structured over time. Two variables matter here: whether the relationship is formal (membership-based) or informal, and whether delivery is continuous or a series of discrete transactions.

A telephone or mutual fund account, for example, involves a formal membership and continuous delivery, so the provider has ongoing data on the customer and can personalise future offers. A toll road or a public radio station, on the other hand, is used on a discrete, non-membership basis, meaning the provider often doesn’t even know who its individual users are. This distinction directly affects whether a business can build loyalty programmes, personalise pricing, or track usage patterns, capabilities that are far easier when a formal customer relationship already exists.

How much customisation and judgment the service demands 🔗

Another way to classify services looks at two factors: how much the service is customised for each customer, and how much judgment the frontline staff member exercises while delivering it. A lawyer or a doctor exercises high judgment and delivers a highly customised service, since no two cases are identical. A movie theatre or a public bus service, in contrast, is standardised and leaves little room for staff discretion.

This matters because high-judgment, high-customisation services are difficult to scale quickly. They depend on skilled individuals, which limits how fast a business can grow without compromising quality. Standardised, low-judgment services scale far more easily but compete mainly on price, consistency, and convenience rather than on personalised expertise.

Who or what actually delivers the service 🔗

Services can also be classified by how labour-intensive their delivery is. This distinction, first proposed by researcher Dan R.E. Thomas, separates equipment-based services from people-based services. As explained in coursework covering services classification, equipment-based services rely primarily on machinery or technology to perform the task, while people-based services rely on the skills and presence of human staff.

Equipment-based services 🔗

These range from fully automated offerings like ATMs and vending machines, to services monitored by relatively unskilled operators such as a self-service laundromat, to more complex operations run by skilled technical staff such as airlines. The more automated a service, the more consistent it tends to be, but also the less personal it feels.

People-based services 🔗

A detailed breakdown from an academic overview of services classification splits people-based services into three tiers: unskilled labour such as security guards and cleaning staff, skilled labour such as electricians, caterers, or hairstylists, and professionals such as engineers, doctors, and management consultants. Marketing strategy shifts sharply across these tiers. Professional services depend on reputation, credentials, and word-of-mouth referrals, while unskilled labour services compete mainly on price and reliability.

Matching supply with a demand that keeps changing 🔗

Services also differ in how predictable customer demand is relative to available supply. Some services, like electricity or basic telecom, face fairly steady, narrow demand fluctuations that can be met without much strain. Others, like tax filing services near a deadline or a beach resort during a holiday season, face wide demand swings that are much harder to manage, since services can’t be stored in inventory the way products can. A hotel room that goes unsold tonight is lost revenue forever; it can’t be sold twice tomorrow to make up for it. This classification pushes marketers toward strategies like dynamic pricing, reservation systems, or off-peak discounts to smooth out these swings.

Public sector versus private sector delivery 🔗

A simpler, but still strategically useful, way to classify services is by who provides them. Public services, run by government bodies such as Indian Railways, India Post, or municipal water boards, are typically judged on accessibility, affordability, and universal coverage rather than pure profit. Private services, whether a courier company or a private hospital, are driven more directly by competition, customer experience, and margins. Many sectors in India now feature both models operating side by side, such as public sector banks competing with private banks, which pushes both to sharpen their customer service standards.

Why all of this matters for marketing strategy 🔗

None of these classification schemes exist purely as academic exercises. Each one answers a different strategic question. Is the customer physically present during delivery? Can the relationship be formalised into a membership? How much can the service be automated? Can demand be smoothed out, or does it need to be managed reactively? A student who understands these frameworks can look at any unfamiliar service business, whether it’s a fintech app or a neighbourhood salon, and immediately identify the right questions to ask about positioning, pricing, and capacity planning, rather than treating every service business as a unique puzzle with no precedent.

What do you think? If you had to classify a food delivery app like Zomato or Swiggy using these frameworks, would you call it more equipment-based or people-based, and does that classification shift depending on whether you’re looking at the ordering process or the actual delivery?

References

1. https://www.ibef.org/industry/services
2. https://journals.sagepub.com/doi/10.1177/002224298304700303
3. https://openstax.org/books/principles-marketing/pages/11-1-classification-of-services
4. https://biz.libretexts.org/Bookshelves/Marketing/Principles_of_Marketing_(OpenStax)/03:_Product_Promotion_Price_and_Place/11:_Services-_The_Intangible_Product/11.01:__Classification_of_Services
5. https://ebooks.inflibnet.ac.in/mgmtp10/chapter/31/