Real-world examples of how to research industry salary standards (step-by-step)

Examples of how to research industry salary standards for your next interview

Let’s start with what you really want: specific, real examples of how to research industry salary standards that you can copy and adapt. Think of this as your salary research “recipe” you can tweak for any role, in any city.

Imagine you’re a mid-level marketing manager in Chicago with five years of experience. You’ve got an interview coming up, and you know the salary question is coming. Instead of winging it, you sit down for 30–45 minutes and walk through a few of the best examples of research methods:

• You check several salary websites and compare ranges.
• You pull government data for your occupation.
• You scan LinkedIn profiles and job posts for pay clues.
• You check professional association surveys.
• You message two people in similar roles for informal ranges.

By the time you’re done, you don’t just have a number. You have evidence.

Real examples of using salary websites without getting misled

One of the best examples of how to research industry salary standards is using multiple salary websites together, instead of trusting a single source.

Here’s how that might look for a software engineer in Austin:

You open three tabs and search the same job title and location on each site:

• Glassdoor
• Indeed Salary / Payscale
• LinkedIn Salary (if available in your region)

You notice something interesting:

• Glassdoor shows a range of \(105,000–\)135,000.
• Payscale shows \(95,000–\)125,000.
• Indeed shows \(100,000–\)130,000.

Instead of panicking about the differences, you treat them as data points. You average the midpoints, then adjust based on your experience:

• Midpoints: \(120k, \)110k, and $115k.
• Rough midpoint average: about $115k.

You have 7 years of experience and advanced skills, so you aim toward the upper part of the range, maybe \(120k–\)130k. This is a clean, practical example of turning scattered online numbers into a believable, research-backed target range.

To make this even stronger, you repeat the same process with one or two nearby cities and compare. If Austin is paying slightly less than San Francisco but more than a smaller city, your confidence in the range grows.

Example of using government and official data to back up your range

Another one of the best examples of how to research industry salary standards is to combine commercial salary sites with official data. For U.S. roles, the U.S. Bureau of Labor Statistics (BLS) is a gold mine.

Say you’re a registered nurse in Florida. You:

• Go to the BLS Occupational Outlook Handbook: https://www.bls.gov/ooh/
• Search for “Registered Nurses.”
• Look at the median pay and the percentile breakdown (25th, 50th, 75th, 90th).
• Scroll to see state and metropolitan area data.

You might find that the national median is around a certain number, but your metro area pays 10–15% higher due to demand. Now your range is anchored in government data, not just crowd-sourced estimates.

This is one of the best examples of how to talk about pay with authority in an interview:

“Based on data from the Bureau of Labor Statistics and current ranges on Glassdoor and Payscale for this metro area, similar nursing roles seem to fall between X and Y. With my experience in critical care, I’d be targeting the upper half of that range.”

You’re not just throwing out a number; you’re showing that you did your homework.

For international roles, you can look at similar government or statistics sites in your country (such as the UK’s Office for National Statistics or Canada’s Job Bank) and follow the same process.

Examples of how to research industry salary standards using professional associations

If your field has a professional association, you’re sitting on one of the most underrated examples of how to research industry salary standards.

Picture a project manager in the U.S. looking at a new role. They:

• Visit the Project Management Institute (PMI) website.
• Look for their salary survey or industry report.
• Download the latest report (often by region, certification, and experience level).

PMI and similar organizations often publish annual or biannual salary surveys with breakdowns by:

• Job title
• Years of experience
• Certifications
• Industry sector
• Region or country

These reports are often more detailed than generic salary sites. For example, a PMI salary survey might show that PMP-certified project managers in the U.S. earn, on average, 20–25% more than those without the certification.

You can repeat this approach in other fields:

• Accountants check the AICPA or state CPA societies.
• HR professionals look at SHRM salary surveys.
• Data scientists check surveys from KDnuggets, O’Reilly, or related organizations.

These are real examples of using targeted, field-specific data to sharpen your salary expectations.

Real examples of LinkedIn and job-post sleuthing

Some of the best examples of how to research industry salary standards in 2024–2025 come from a trend you’ve probably already noticed: more salary transparency in job postings.

Here’s how a marketing specialist in New York might use this.

They:

• Search LinkedIn Jobs for “Marketing Specialist” in New York.
• Filter for “Salary” or “Pay transparency” where available.
• Note the salary ranges listed in postings from reputable companies.

Even if only some postings show pay, they start to see patterns:

• Entry-level specialist roles cluster around \(55k–\)65k.
• Mid-level roles with analytics responsibilities reach \(70k–\)85k.

Then they click into profiles of people with similar roles:

• Look at job titles and company sizes.
• Note if people have posted salary ranges in their About section or shared posts.

This isn’t perfect, but it’s one of the most realistic examples of how to research industry salary standards in real time, based on what companies are actually advertising right now.

You can repeat this on Indeed, ZipRecruiter, or local job boards. The trick is to look for clusters and patterns, not obsess over a single posting.

Example of using networking conversations without making it awkward

Talking about money can feel uncomfortable, but done respectfully, it can be one of the best examples of how to research industry salary standards.

Imagine you’re a UX designer in Seattle. You:

• Reach out to two designers you know (or lightly know) on LinkedIn.
• Ask for a quick 15-minute chat about career paths and the local market.

On the call, you don’t say, “How much do you make?” Instead, you try something like:

“I’m exploring UX roles in Seattle and trying to get a realistic sense of the salary range for mid-level designers. From what you’ve seen, what would you say is a typical range in this market?”

Or:

“For someone with about 4–6 years of UX experience, what salary bands have you seen for in-house roles versus agencies?”

You’re asking for ranges and patterns, not personal paychecks. This is a respectful, real example of how to research industry salary standards through human conversations.

If you’re early in your career, you might reach out to alumni from your university via LinkedIn or your school’s career center. Many alumni are surprisingly willing to give you honest, grounded ranges.

Blending multiple methods: the best examples of building a solid range

The strongest examples of how to research industry salary standards don’t rely on a single source. They blend.

Let’s walk through a full example for a data analyst in Denver, with 3 years of experience.

They:

• Check Glassdoor, Payscale, and Indeed for “Data Analyst” in Denver, noting ranges.
• Visit the BLS site and look up data for “Operations Research Analysts” or “Data Analysts” to see national and state-level pay.
• Search LinkedIn Jobs for “Data Analyst Denver” and scan salary ranges where posted.
• Look up a recent salary survey from a data or analytics association.
• Ask one or two peers in similar roles, “What ranges are you seeing for data analyst roles in Denver right now?”

After pulling all this together, they might land on:

• Lower end: \(65k–\)70k
• Midpoint: around \(75k–\)80k
• Upper end: \(85k–\)90k for analysts with strong SQL and BI skills

When the recruiter asks, they can say:

“Based on recent salary data from BLS, several salary sites, and current postings in Denver, it looks like data analyst roles at my level typically fall in the \(75,000 to \)90,000 range. Given my experience with SQL, Tableau, and stakeholder reporting, I’d be targeting the upper half of that range.”

That answer sounds informed, reasonable, and confident—because it is.

Examples of how to research industry salary standards for remote and hybrid roles

Remote and hybrid work has made salary research trickier, but also more interesting. Here are real examples of how to research industry salary standards when the job is remote.

Say you’re applying for a fully remote customer success manager role with a U.S.-based company. The posting says “Remote – U.S. only.”

You:

• Check salary sites using the company’s headquarters city.
• Search for the same job title plus “remote” on LinkedIn and Indeed, and compare ranges.
• Look up cost-of-living differences between your city and the company’s city using a cost-of-living calculator.

If you live in a lower-cost area than the headquarters, some companies may offer slightly lower pay, while others pay one national band. During 2024–2025, more companies are publishing salary bands by state or region in job posts. That means you can often find:

• “Tier 1” pay for high-cost cities
• “Tier 2” pay for mid-cost regions
• “Tier 3” pay for lower-cost regions

A realistic example:

“From what I’ve seen in current remote postings and recent salary data, customer success manager roles at my level tend to fall between \(80,000 and \)100,000 base in U.S. remote roles, with some variation by state. That’s the range I’m targeting.”

Again, you’re leaning on patterns, not a single magical number.

Using salary research to answer the “What are your expectations?” question

All these examples of how to research industry salary standards are only helpful if you can turn them into a calm, confident answer.

Here’s a simple template you can adapt once you’ve done your research:

“Based on my research using salary data from [sites or sources] for [job title] roles in [location or remote market], it looks like similar positions typically fall in the range of [X to Y]. Given my [years of experience / key skills / certifications], I’d expect to be in the [middle/upper] part of that range. How does that align with your budget for the role?”

This kind of answer does a few things:

• Shows you’ve done your homework.
• Signals that you’re flexible within a range, not fixed on a single number.
• Gently invites the employer to share their budget.

You can plug in any of the real examples above—salary sites, BLS data, association surveys, job postings, or networking conversations—as your research sources.

FAQ: examples of practical salary research questions and answers

Q: Can you give an example of a simple salary research routine I can do in under an hour?
Yes. Pick your job title and location. Check 2–3 salary sites and write down the ranges. Look up your occupation on the BLS site or your country’s labor statistics site. Scan 5–10 recent job postings for your role and see which ones list pay. If you have time, send one message to a peer asking what ranges they’re seeing. That’s a short, realistic example of a repeatable routine.

Q: What are good examples of sources I can mention to recruiters?
You can mention a mix of salary sites (Glassdoor, Payscale, Indeed), official statistics (BLS in the U.S. or equivalent), and industry surveys from professional associations. You might say, “Based on salary data from Glassdoor, Payscale, and the BLS for this metro area…” and then share your range.

Q: Is it okay to use international data as an example of salary standards?
It can be helpful for context, but you should always adjust for local pay. For instance, tech roles in the U.S., UK, and EU can have very different ranges. If you use international data, treat it as a comparison point, not your main anchor.

Q: What are examples of mistakes people make when researching salaries?
Common mistakes include relying on a single salary website, ignoring location differences, forgetting to factor in experience level, and assuming job titles mean the same thing everywhere. Another mistake is not updating your research; salary trends shift, especially in fast-moving fields like tech and healthcare.

Q: Can you share an example of how to bring up salary research when negotiating an offer?
You might say, “Thank you for the offer. Based on my research into current market rates for similar roles in this region—using data from BLS, Glassdoor, and recent postings—most offers I’m seeing are in the \(X to \)Y range for this scope of responsibility. Given my background in [specific achievements], is there room to move the base salary closer to [target number]?”

If you treat these as living, real examples of how to research industry salary standards rather than a one-time homework assignment, you’ll walk into every conversation with numbers you can stand behind—and that confidence shows.