When organisations undertake salary benchmarking, Mercer is often one of the first names considered. That makes sense. Mercer is a major global provider of remuneration data, and large organisations have used established salary surveys for decades to understand how their pay compares with the external market.

But there is another question worth asking:

Do you need access to market data, or do you need someone to work out what the market data actually means for your organisation?

That distinction is useful when comparing Mercer with a specialist provider such as Remunera.

Both can contribute to salary benchmarking, but the experience and methodology can be quite different.

Mercer provides the scale and structure of an established global compensation-data ecosystem.

Remunera takes a more hands-on approach: defining the relevant market, examining individual roles and their scope, bringing together multiple sources of evidence, analysing internal and external positioning, and translating the findings into practical remuneration decisions.

Neither approach makes salary benchmarking automatic.

The quality of the result ultimately depends on the care taken in answering a deceptively difficult question:

What is the right market benchmark for this particular job?

Mercer vs Remunera at a glance

The distinction is important because having more compensation data does not automatically produce a better compensation decision.

Data is the evidence.

Benchmarking is the exercise of deciding which evidence is relevant and what to do with it.

The traditional salary survey approach

A traditional salary benchmarking exercise often starts with a large compensation survey.

An organisation identifies a job, matches it to a survey position and then examines market statistics such as:

• P25;
• P50;
• P75;
• base salary;
• total fixed remuneration;
• short-term incentive; and
• total cash compensation.

For example, suppose Mercer produces the following data for a Finance Manager:

The organisation's Finance Manager earns $150,000.

At first glance, the conclusion appears straightforward.

The employee is below the market median.

But that is where good salary benchmarking starts rather than finishes.

The problem with the number

Before concluding that $160,000 is the "correct" salary, several questions need to be answered.

Is the employee actually performing a job equivalent to the survey position?

Is the survey level correct?

Does the employee manage people?

How large is the team?

How much decision-making authority does the role have?

What is the size and complexity of the organisation?

Is the benchmark based on the appropriate industry?

Is the organisation competing for this employee in a national, Sydney, Melbourne or regional labour market?

Does the market figure include superannuation?

Are we comparing base salary, total fixed remuneration or total cash?

How old is the underlying market data?

And perhaps most importantly:

Are the organisations behind the benchmark genuinely comparable employers for this role?

A market median without answers to these questions can create a false sense of precision.

Where Mercer is particularly powerful

Mercer's major advantage is scale.

For organisations with hundreds or thousands of jobs, potentially across multiple countries, a structured global survey methodology provides an efficient way to establish consistent external market references.

This can be particularly valuable when an organisation needs to benchmark:

• large employee populations;
• multiple job families;
• different career levels;
• numerous countries;
• specialist and general corporate roles; or
• established global salary structures.

A compensation team can use a common methodology across Finance, HR, Engineering, Sales, Operations and other functions rather than sourcing every benchmark independently.

That consistency is extremely valuable.

But there is a difference between having access to a sophisticated compensation database and completing a rigorous benchmarking exercise.

The latter still requires judgement.

Where Remunera takes a different approach

Remunera's salary benchmarking methodology places greater emphasis on constructing the benchmark around the organisation and the role.

Its published approach combines multiple sources of evidence rather than treating one salary survey as the entire market.

Depending on the exercise, those inputs can include market datasets, public remuneration disclosures, proprietary information, market intelligence and the organisation's own internal remuneration information.

The objective is not simply to produce a percentile.

It is to understand why the organisation sits where it does and what management should do about it.

That difference becomes particularly important when the role is difficult to benchmark.

Ultimate care and detail in the benchmarking exercise

Salary benchmarking looks easy until you encounter a role that does not fit neatly into a survey.

Consider this position:

Head of Commercial & Strategy

The title tells us very little.

In one company, the employee may manage two analysts and primarily prepare strategic planning materials.

In another, the employee may:

• lead corporate strategy;
• own major commercial negotiations;
• manage M&A activity;
• oversee pricing;
• manage a team of 15;
• regularly present to the board; and
• act as a potential successor to the CFO.

Those are not economically equivalent jobs.

A high-quality benchmarking exercise therefore needs ultimate care and detail in the role-matching process.

That means going beyond the job title and examining the actual work.

Remunera's approach is designed around this level of analysis: clarifying role scope and level, defining the appropriate comparison market, normalising different forms of remuneration data and then translating the result into a practical recommendation.

That additional care is particularly valuable where there is no obvious survey match.

What a detailed salary benchmarking exercise should actually examine

Whether using Mercer, Remunera or another source, a robust exercise should work through several layers.

1. Understand the job

Start with what the employee actually does.

Review:

• principal accountabilities;
• decision-making authority;
• reporting line;
• team size;
• geographic responsibility;
• functional breadth;
• financial responsibility;
• strategic influence;
• technical complexity; and
• organisational impact.

A job description can help, but it should not always be accepted at face value.

Job descriptions are frequently outdated, inflated or too generic to support accurate market matching.

For important or unusual roles, discussion with the relevant leader can materially improve the benchmark.

2. Determine the level

Matching the correct function but the wrong level is one of the easiest ways to produce a bad benchmark.

Consider:

Financial Analyst

Senior Financial Analyst

Finance Manager

Senior Finance Manager

Finance Director

A one-level error can materially change the market reference.

This is why the benchmarking exercise needs to consider the substance of the role rather than simply matching words in a title.

3. Define the actual labour market

Ask:

Who would we lose this employee to?

And:

Where would we recruit their replacement?

These questions can be more useful than simply asking which industry the organisation operates in.

A mining company recruiting cybersecurity specialists may compete against banks, technology companies and professional-services firms for talent.

A healthcare organisation recruiting a CFO may compete across a much broader executive market.

The relevant compensation market is therefore the talent market, not necessarily just the employer's industry.

4. Determine the peer group

Peer selection becomes increasingly important for senior and executive positions.

Relevant variables might include:

• revenue;
• market capitalisation;
• employee population;
• industry;
• ownership structure;
• geography;
• organisational complexity; and
• growth stage.

Remunera's executive benchmarking methodology, for example, uses customised peer groups and considers factors such as revenue, market capitalisation and industry when identifying relevant comparisons.

This can produce a more targeted answer than relying solely on a broad market cut.

5. Normalise the remuneration

Before comparing two numbers, make sure they measure the same thing.

In Australia, this is particularly important.

An employee might have:

• $180,000 base salary;
• $21,600 employer superannuation;
• 15% STI opportunity;
• vehicle allowance; and
• equity.

Another dataset might report total fixed remuneration rather than base salary.

Comparing $180,000 with a $205,000 TFR benchmark would incorrectly suggest a substantial market gap.

Detailed benchmarking normalises these elements before drawing conclusions.

6. Use more than one source where appropriate

One of the strengths of a tailored benchmarking approach is the ability to triangulate.

Suppose the available evidence indicates:

The answer is not necessarily to average everything and declare:

Market = $195,000.

Instead, the analyst should understand why each observation differs.

Perhaps the large survey contains organisations substantially smaller than the employer.

Perhaps the disclosed roles are larger than the job being benchmarked.

Perhaps recruitment data reflects advertised ranges rather than actual incumbent compensation.

The analyst's job is to determine which evidence deserves the greatest weight.

That is where care and professional judgement add value.

An example: Mercer data versus a Remunera benchmarking exercise

Imagine an Australian organisation is benchmarking its Head of People.

Mercer provides a market median of:

$230,000 TFR

That is a valuable market observation.

A detailed Remunera exercise might then investigate the role more deeply.

The analysis establishes that:

• the organisation employs 1,500 people;
• the role reports directly to the CEO;
• it leads a People team of 25;
• it owns remuneration and organisational development;
• it regularly attends board meetings;
• the company operates nationally;
• the role has significant transformation responsibilities; and
• comparable employers typically position the role closer to a broader executive People leadership benchmark.

Additional relevant evidence produces market observations between $240,000 and $265,000.

The conclusion should not be:

Mercer is wrong.

The more useful conclusion might be:

The original Mercer observation was valid for the selected survey match, but further analysis indicates that the actual scope of the role warrants a broader or higher-level market comparison.

That is an important distinction.

Remunera's advantage: interpretation rather than another spreadsheet

A common frustration with salary benchmarking is receiving a large spreadsheet containing hundreds of market numbers but little guidance on what to do next.

For a specialist reward team, that may be perfectly acceptable. The internal team has the expertise to interpret the data.

For many organisations, however, the difficult questions come afterwards:

Should we move the salary range?

Should we adjust one employee or the whole job family?

Is the problem external competitiveness or internal equity?

Should we target P50 or P75?

Is the role genuinely underpaid or simply incorrectly levelled?

Can we afford to correct the gap immediately?

Will increasing this role create compression with the next level?

What happens to comparable employees?

Remunera's model places more emphasis on answering these questions and turning benchmarking results into salary bands, review actions, governance materials and practical recommendations.

The output is intended to support a decision, rather than simply report the market.

Internal equity matters too

External benchmarking should never operate in isolation.

Suppose market analysis suggests increasing a new employee from $150,000 to $170,000.

But three existing employees performing comparable work earn:

• $148,000;
• $152,000; and
• $155,000.

Moving one employee directly to $170,000 could create a new internal equity problem.

A detailed benchmarking exercise therefore needs to look in two directions:

External equity: How do we compare with the market?

Internal equity: How consistently are comparable employees paid inside the organisation?

Remunera explicitly connects benchmarking with internal pay positioning and broader equity analysis rather than treating the external market number as the end of the exercise.

Market position is not the same as employee entitlement

Suppose:

Employee TFR = $171,000

Market P50 = $180,000

The employee's market position is:

$171,000 ÷ $180,000 = 95%

That does not automatically mean the employee needs a 5% increase.

The employee might:

• be relatively new to the role;
• still be developing capability;
• have recently been promoted;
• sit appropriately within the company's salary range; or
• receive other remuneration that changes the total comparison.

Similarly, someone at 110% of P50 is not automatically overpaid.

Benchmarking prices the job.

Individual remuneration decisions then consider the person's position within that job and range.

Mercer vs Remunera: which should an organisation use?

For some organisations, Mercer may be exactly what is required.

A sophisticated reward function with thousands of employees may primarily need reliable, scalable survey data that its internal compensation professionals can interpret and integrate into established structures.

For another organisation, simply purchasing more market data may not solve the underlying problem.

It may need help answering:

• Which jobs are actually comparable?
• What levels should we use?
• Which peer organisations matter?
• Which data sources are credible?
• How should different observations be weighted?
• Where are the genuine pay gaps?
• What salary bands should we establish?
• Which adjustments should be prioritised?
• How much will remediation cost?
• How should the recommendations be presented to executives or the board?

That is where Remunera's higher-touch model becomes relevant.

The distinction can therefore be summarised simply:

Mercer can provide an exceptionally powerful view of compensation-market data.

Remunera can provide a highly detailed benchmarking exercise designed to turn market evidence into a specific remuneration decision.

And in some cases, the two approaches can complement rather than replace one another.

A practical salary benchmarking workflow

For organisations undertaking a comprehensive exercise, a robust process looks something like this:

Step 1: Clean the employee data

Confirm titles, reporting lines, locations, remuneration components and employment status.

Step 2: Validate the job architecture

Make sure jobs are assigned to sensible families and levels.

Step 3: Review role content

Investigate unusual, hybrid, specialist and senior roles in greater detail.

Step 4: Establish the comparison markets

Determine relevant geography, industry, organisation size and talent markets.

Step 5: Match roles to external data

Use Mercer, specialist datasets, disclosed remuneration, proprietary benchmarks and other appropriate evidence.

Step 6: Normalise the data

Align effective dates and remuneration definitions.

Step 7: Triangulate the evidence

Investigate differences rather than blindly averaging them.

Step 8: Calculate market positioning

Compare employees and salary ranges against the selected market reference.

Step 9: Test internal equity

Identify compression, anomalies and potentially inconsistent outcomes.

Step 10: Model recommendations

Calculate the financial effect of different remediation and salary-structure scenarios.

Step 11: Apply governance

Document why particular benchmarks, percentiles and interventions were selected.

Step 12: Implement

Translate the analysis into salary bands, annual review decisions, hiring guidance and manager communication.

That is a salary benchmarking exercise.

Downloading P50 from a survey is only one step within it.

The ultimate test of salary benchmarking

The quality of salary benchmarking should not be judged by how many data points an organisation has.

It should be judged by whether management can answer:

Why did we choose this benchmark?

Why is this the appropriate comparator for this job?

Why are we targeting this market position?

Why does this employee require or not require an adjustment?

What are the internal equity implications?

What will the recommendation cost?

Can we defend the decision to employees, executives and the board?

Mercer's scale and established compensation datasets can provide an extremely strong foundation for answering these questions.

Remunera's proposition is different: apply ultimate care and detail to the benchmarking exercise itself, bringing together data, role analysis, peer context, internal equity and remuneration expertise to reach a practical answer.

The distinction matters.

Because ultimately, organisations do not need salary data simply to know what P50 is.

They need it to decide what to pay people and to be able to explain why.