The rise of tenant-centric property management

As of April 2025, average rents have risen 4% year on year in the UK. This continued rise in rent prices has led tenants to expect more for their money, wanting more than just a roof over their heads, and instead looking at enhanced features when renting a property.

With the evolution of the UK rental market, it's important that landlords and property investors take a tenant-centric approach to property management to ensure that rental properties meet the demands of prospective tenants and attract and retain residents.

In this article, we will look at what it means to be tenant-centric when it comes to property management, how it can benefit landlords and property managers and our top tips for implementing this approach to help maximise the value of rental properties.

What is tenant-centric property management?

Tenant-centric property management is an emerging approach that prioritises not only the needs of tenants but also takes into account their desires and expectations.

With many modern tenants now considering renting long-term, the demand for high-quality living and more emphasis on luxury lifestyles means property management must evolve to meet these new expectations.

Tenant-centric property management can present opportunities to make processes more efficient, highlight key areas to add long-term value to properties like smart or green home technology and provide important unique selling points to help attract and retain high-quality tenants.

What are the benefits of tenant-centricity?

While a tenant-centric approach puts the tenants' needs at the centre of its practice, it can also have great benefits for landlords, property managers and estate agents.

Attracting residents

Following updated rental reforms and increased protection from policies, tenants are more empowered to look for properties that meet their expectations and needs. Therefore, to attract the best tenants, properties that have tenant-centric features, including property management, can stand out.

Retaining tenants

Finding the right tenants can be time consuming and costly. Often, it can be beneficial for both landlords and tenants to invest time in building relationships that lead to longer-term rental agreements.

This can avoid periods of vacancy and no rental income from properties, reduce admin time and cost to market the property and conduct viewings.

By enhancing tenant satisfaction through tenant-centric property management, tenants are more likely to renew their lease or even recommend your build-to-rent property to friends, providing an opportunity for organic awareness.

Adding value

Many of the tenant-centric upgrades can help to add value to investment properties. This can present additional revenue opportunities such as increased rental value, enabling landlords to charge a premium for luxury living environments.

Similarly, value may be added from renovations or updates that enhance the tenant experience. This can present opportunities for a greater return on investment when it comes to selling the property.

Data-driven decision making

With the rise in build-to-rent properties, taking a tenant-centric approach can enable you to remain competitive in a crowded market. Be sure to conduct thorough research to consider market composition and competitors to help inform rent pricing strategy and what tenant-centric features other properties in the local area are offering to help you understand the landscape.

By making data-driven decisions, you can position your properties as a premium audience, highlighting unique tenant-centric selling points, to attract high-quality tenants who are willing to spend more in return for an elevated rental experience.

Tenant-centric property management tips to maximise your investment

Clear communication

Prioritising relationship building is one of the best ways to increase tenant satisfaction and encourage resident retention. Ensuring that all communication is clear, timely and accurate will help to build trust, especially when it comes to addressing any issues or concerns from tenants.

Defining clear communication channels and setting realistic expectations when it comes to responding to requests can help tenants feel respected and heard, and provide clarity for everyone involved.

Utilising digital efficiency

A brilliant way to enable clear communication between landlords, estate agents or property managers and their tenants is to utilise digital communications.

Streamlining property management by digitising typical tasks like rent collection, maintenance issue reporting, or contract renewals can help tenants, landlords and estate agents work more efficiently, saving time and money for all parties.

Investing in maintenance and upkeep

Responding to any maintenance issues quickly can be beneficial to tenants and the value of properties. By addressing any reported issues quickly, you can avoid the property falling into disrepair, risking long-term damage.

Investing in the upkeep of your rental properties will also encourage tenants to take care of it themselves, likely wanting to live in a pleasant environment, too.

Connected smart home technology

Investing in smart home technology can greatly improve the living experience of tenants, as well as improve the energy and performance efficiency of buildings.

Installing smart security systems, like smart locks, keyless entry and video doorbells, will increase the safety and security of your property and of your tenants, improving their experience and protecting your investment.

Within units, adding smart thermostats can help tenants better control their energy usage and contribute to the overall energy efficiency of your property - even more if you have green energy sources, like installing solar panels!

Using smart building connectivity will ensure that all Wi-Fi-powered smart tech performs well with high-speed connection, allowing all your systems to communicate and work seamlessly alongside each other.

Luxury lifestyle-enhancing amenities

In many modern apartment complexes and new build flats, tenants are offered multiple amenities and features that provide convenience and a touch of luxury to the residential experience.

On-site amenities like gyms and wellness facilities, cinema rooms and well kept communal spaces can all enhance the living experience for tenants, helping to foster a sense of community among residents and encourage retention.

Convenient concierge services

Increasingly, luxury rental units are offering concierge services that provide tenants with assistance, such as managing packages and deliveries. It can also provide reassurance and increased safety for tenants.

As with many other tenant-centric features, concierge services also present benefits for landlords. For landlords, concierge services can help to streamline property management tasks, manage maintenance requests and liaise with contractors to efficiently address any issues.

Embracing Flexibility

While some tenants and landlords may be looking for long-term rental solutions, others may be open to embracing flexible arrangements.

Offering flexible leasing options, such as short-term leases or rolling contracts, can help improve accessibility and cater to diverse tenant bases. Other flexibility features include rent-to-rent options, allowing tenants to sublet their rental property, or the ability to easily change tenants on contract agreements.

Flexibility can actually help to increase retention, and even mean that some of the property management tasks, like finding tenants, is delegated to rent-to-rent tenants or existing residents.

Final Thoughts

With a clear shift towards tenant-centric property management in response to increased tenant expectations and demands, placing tenant satisfaction at the heart of your property management can help you to stand out in a crowded rental market, attracting and retaining high-quality tenants.

Understanding tenant demands, making data-driven decisions, maintaining high standards and prioritising building positive relationships with residents are essential in creating a tenant-centric experience, leading to reduced churn and reducing vacancy periods, maximising the value and potential of rental property investment and management.

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Transparent data promise

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How do you know the square footage of properties?

We use proprietary technology to read the square footage of properties from agent floorplans. Although we cannot determine the square footage for all properties, we can usually get sufficient coverage. Agents are sometimes known to inflate square footage, and this should be borne in mind as a weakness of this data.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry.

How often is the data updated?

Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2025-12-15, although some sales that took place before this date may still be added in the coming months.

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry, and Energy Performance Certificate (EPC) data provided by Department for Levelling Up, Housing & Communities.

How do you know the square footage of properties?

We match the Land Registry data to EPC data provided by the Department for Levelling Up, Housing & Communities. Due to the fact that not all properties sold have had an EPC and vagaries of addressing in the UK, we are not able to determine the square footage of all properties, but we can usually get sufficient coverage.

How often is the data updated?

The private paid data is updated once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month. The energy performance certificate database is updated monthly.

What time period does the data cover?

You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2025-12-15, although some sales that took place before this date may still be added in the coming months.

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Room let listings on SpareRoom, the UK's biggest room letting website.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from SpareRoom, they are soon removed from this tab.

How is the raw data processed?

Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale.

What is the yield calculation used?

The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from Zoopla, Rightmove or Spareroom, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale. For the SpareRoom data, hypothetical properties consisting of two to six average double rooms with shared bathrooms are used to derived average rent. For all sources, listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What is the yield calculation used?

The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry.

How often is the data updated?

Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.

Zoopla Zed-index

What time period does the data cover?

The data covers transactions in the last six years

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

The price paid data shown goes back to January 2015. The listings data is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the calculations used?

Average sales per month are for the last 3 finalised months. Turnover is average sales per month divided by total for sale. Inventory is 100 divided by turnover.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

Where does the raw data come from?

We receive data on the extent and corporate ownership of all land titles in England & Wales from the Land Registry.

How often is the data updated?

The data is updated once per month when released, typically in the first few days of each calendar month.

What time period does the data cover?

This is an ownership snapshot - the data represents ownership as recorded by the Land Registry at the last monthly export.

How is the raw data processed?

No additional processes are applied to this data.

Where does the raw data come from?

We source different expert forecasts Savills, Knight Frank, OBR

How often is the data updated?

The data is updated annually when new forecasts are released, typically towards the beginning of the year.

How is the raw data processed?

We calculate a consensus forecast using a simple mean average.