How to Build a Salary Range That Actually Holds Up (5-Source Framework)

Most hiring managers I work with start salary benchmarking the same way: they Google the role, find a number that looks reasonable, and build their budget around it. It feels efficient. It feels informed.

But here's what I've learned after 15 years of hiring across dozens of clients and market conditions: a single data point isn't a strategy. It's a starting point — and usually not even a good one.

The problem isn't that you're lazy or uninformed. It's that salary benchmarking is treated like a one-time event instead of an ongoing process. You set your range, you hire a few people, and then you don't revisit it for years. Meanwhile, the market is moving. Inflation is shifting. Competitors are raising their offers. And by the time you realize your salary data is stale, you're already losing candidates.

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TL;DR

• One source is never enough. Real benchmarking is triangulation — pulling from job postings, candidate conversations, your own hiring history, pay websites, and market data.
• Your salary data has an expiration date. If you hired someone for PHP 30,000 two years ago, that's not a benchmark anymore — it's a historical fact. The market has moved.
• Context matters more than the number itself. A CSR role in a BPO is not the same as a CSR in a tech startup. The skills, expectations, and compensation are fundamentally different.
• Getting this right saves money and time. A realistic salary range means faster closes, fewer rejections, and fewer extended searches. It's an investment, not an expense.

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The hard truth: salary data decays faster than you think

I've seen this play out dozens of times. A company sets a salary band based on data from 18 months ago. They stick with it because "it worked before." Then they start losing candidates to competitors. The hiring manager gets frustrated. The recruiter starts making excuses. And nobody stops to ask: Is our salary still competitive?

The answer is almost always no.

Inflation, talent shortages, and new market entrants can shift compensation by 10-15% in a single year. If your data is more than 12 months old, you're not just behind the curve — you're actively disadvantaging yourself. You're leaving candidates on the table because you're anchored to yesterday's market.

The 5-Source Salary Benchmarking Model

So how do you move from a one-time Google search to a reliable, repeatable system? You build a process that pulls from five distinct sources. This isn't about finding the "perfect" number — it's about establishing a credible range that reflects where the market actually is today.

Here's the framework my team uses:

1. Active Job Postings

This is your real-time competitive intelligence. What are other companies — the ones competing for the same talent as you — offering right now?

• Where to look: Seek, Indeed, JobStreet, LinkedIn Jobs.
• What to look for: Filter for roles that match your title, experience level, and industry. Prioritize postings that include a salary range.
• Why it matters: This is what candidates are seeing every single day. If your offer is 20% lower than what's publicly posted, you're not even in the conversation. This data tells you the floor of the market.

2. Interviewed Candidates

This is your most direct source of truth. What are the people you're actively trying to hire actually earning right now, and what are they asking for?

• What to track: For every candidate you interview for a specific role, log their current salary and their expected salary range.
• Why it matters: This cuts through the noise. It's not an estimate or an industry average — it's a hard number from a real candidate in your market, right now. If every qualified candidate you interview is asking for PHP 45,000, and your budget is PHP 35,000, the problem isn't the candidates. It's the budget.

3. Your Own Hires

Your internal hiring history is a goldmine, but only if you use it correctly. Look at the people you've successfully hired for this role — or similar roles — in the last 6-12 months.

• What to analyze: What was their previous salary? What was the final offer they accepted? How long did it take to close them?
• Why it matters: This tells you what it actually takes to close a candidate in your market. It also helps you spot trends. If you were hiring for this role at PHP 40,000 six months ago and now you're struggling to get qualified candidates, that's a clear signal the market has shifted.

4. Aggregated Pay Websites

Sites like PayScale and Glassdoor are useful reference points, but they should be a validation tool, not your primary source.

• How to use them: Use these to get a broad sense of the market. Look at the 25th, 50th, and 75th percentile numbers to understand the distribution across experience levels.
• Why to be cautious: This data is often self-reported, can be months or years out of date, and may not reflect the specifics of your role or location. Use it to confirm the general range you're seeing from other sources, not to set your budget.

5. Market & Inflationary Data

Finally, apply a macro lens. How is the broader economy affecting salaries in your region?

• What to consider: Check the latest inflation rates from the Philippine Statistics Authority (PSA). Are there major new employers moving into your city? Are there industry-specific talent shortages?
• Why it matters: This helps you adjust your range not just for today, but for the next 6-12 months. If inflation is running at 6%, a salary that was competitive last year is effectively a pay cut this year. You need to account for that.

The Salary Benchmarking Checklist

Use this table to ensure you're building a comprehensive view of the market. You don't need to do all of this every week, but you should revisit this checklist every 6 months.

What to Do About It: A 30-Day Salary Audit Sprint

You don't need a six-month project to build better salary intelligence. You can dramatically improve your benchmarking in 30 days. Pick one critical role you're hiring for and run this sprint:

• Week 1: Data Collection. Pull data from all five sources. Create a simple spreadsheet. What ranges are you seeing? What are the outliers? Where do the sources agree?
• Week 2: Triangulation. Compare the sources side by side. Where do they overlap? Where are the discrepancies? If your internal data is significantly lower than what you're seeing on job boards, that's a red flag.
• Week 3: Define Your Range. Based on your analysis, define a new, evidence-based salary range. This should be a range, not a single number, to give you flexibility in negotiations and to account for experience variations.
• Week 4: Calibrate with Stakeholders. Present your findings to the hiring manager and finance. Walk them through the data. Show them why the old number is no longer competitive. This isn't about asking for more money — it's about presenting a business case for a realistic budget.

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Getting salary right isn't just an HR task. It's a core part of your talent acquisition strategy. It's about respecting the talent you're trying to attract and grounding your decisions in reality, not assumptions.

Which of these five sources do you already use in your benchmarking process? And which one could you add this month to get a more complete picture?

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Harris Ochoa is a Recruitment Director with 15+ years leading talent acquisition teams across BPO, tech, and staffing industries.