Recruiting Market Research: What You’re Missing Before You Hire

Recruiting market research is the process of gathering data about talent availability, compensation benchmarks, competitor hiring behaviour, and candidate expectations before you build or scale a team. Done properly, it shapes hiring strategy the same way customer research shapes product strategy: it tells you what the market will bear, where the friction is, and what your offer actually looks like from the outside.

Most organisations skip it entirely, or treat it as something HR handles in isolation. That’s a mistake that shows up in slow hiring, inflated salary expectations, and roles that attract the wrong candidates for months before anyone admits the job description was the problem.

I’ve been involved in hiring at scale across several agency environments. When I was growing a team from around 20 people to over 100, the roles we filled fastest were the ones where we’d done the groundwork: we knew what comparable agencies were paying, we understood what candidates were actually weighing up, and we’d stress-tested the job description against what the market was hearing. The roles that dragged on for months were almost always the ones where we’d written a brief based on internal assumptions and hoped the market would show up. It usually didn’t, or it showed up with the wrong people.

Why Marketing Should Own Recruiting Research

There’s a reasonable argument that recruiting research is an HR function. In practice, marketing teams are often better equipped to run it. You already know how to segment an audience, frame a value proposition, analyse competitor positioning, and interpret behavioural signals. Applying those skills to talent markets is not a stretch. It’s the same methodology with a different audience.

When I was at an agency that was trying to hire performance marketers during a period when paid search talent was genuinely scarce, the people who cracked it weren’t the recruiters posting on job boards. They were the people who understood the candidate’s decision-making process well enough to position the role correctly. That meant understanding what those candidates were being offered elsewhere, what they cared about beyond salary, and where they were actually spending time online. That’s audience research. It just happens to be for a hiring brief rather than a campaign.

The broader discipline of market research covers a wide range of intelligence-gathering methods, and recruiting research sits comfortably within that ecosystem. The same principles that govern customer insight work apply here: define the question clearly, choose the right method for the data you need, and resist the temptation to confirm what you already believe.

What Recruiting Market Research Actually Covers

There are four distinct areas worth covering, and most organisations only look at one or two of them.

Compensation Benchmarking

This is the most common starting point, and it’s frequently done badly. Pulling a salary range from a single source and treating it as market rate ignores the fact that compensation varies significantly by geography, company size, industry sector, seniority definition, and total package structure. A “Senior Marketing Manager” at a 50-person SaaS company in Manchester is a different role to the same title at a 5,000-person FMCG business in London, even if both appear in the same benchmarking report.

Useful compensation research triangulates across multiple sources: recruiter conversations, live job postings, salary survey data, and direct candidate feedback from recent hires. It also accounts for the full package, not just base salary. Benefits, flexibility, equity, bonus structure, and development opportunity all factor into how candidates evaluate an offer. If you’re benchmarking base salary in isolation, you’re missing a significant part of the picture.

Talent Availability and Pool Mapping

Before writing a job description, it’s worth understanding how many people with the required skills actually exist in your target geography or remote pool, and how many of them are likely to be actively looking. LinkedIn’s talent insights tools give a rough sense of pool size. Recruiter briefings add colour on how much of that pool is genuinely accessible versus passive to the point of immovable.

This matters because it shapes how you write the brief. If the pool is small and competitive, you write a role that appeals to passive candidates and invests in the pitch. If the pool is large but poorly filtered, you tighten the specification and invest in screening. Getting this wrong in either direction costs time and money.

Competitor Hiring Intelligence

Job postings are one of the most underused sources of competitive intelligence available. When a competitor starts hiring for roles they didn’t have before, or starts clustering hires in a particular function, that’s a signal about strategic direction. It’s often more reliable than their press releases.

This connects directly to the broader practice of search engine marketing intelligence, where competitor signals, visible in what they’re bidding on, what copy they’re running, and where they’re investing, reveal intent before it becomes public. Hiring signals work the same way. A competitor that suddenly starts hiring data engineers and product analysts is probably building something. A competitor that stops hiring in a function is probably pulling back from it.

Monitoring competitor job postings systematically, even just once a month, gives you an ongoing read on where the market is moving. Tools like LinkedIn, Indeed, and Glassdoor make this straightforward. The discipline is in doing it consistently and drawing conclusions rather than just collecting data.

Candidate Experience and Perception Research

This is the area most organisations ignore completely. How do candidates actually experience your hiring process? What do they hear about your company before they apply? What do they read on Glassdoor, and how much does it affect their decision? What happens to their perception of your brand when they don’t hear back after an interview?

Candidate experience research can be as simple as exit surveys sent to people who declined offers, or structured debrief conversations with recent hires about what nearly put them off. It can also draw on qualitative methods. If you’re running focus groups for customer insight, the same approach applies to candidate insight, and the focus group methodologies used in market research translate directly to understanding how your employer brand lands with different candidate segments.

The point worth making clearly: your hiring process is a brand touchpoint. Candidates who have a poor experience don’t just decline your offer. Some of them are also your customers, or will be. The way you treat people during recruitment reflects the same operational culture that shapes how you treat clients. I’ve seen this play out in agency environments where a badly managed hiring process damaged relationships with freelancers who later became clients, or who talked to clients we were trying to win. The overlap is real.

How to Structure a Recruiting Research Brief

The most common failure in recruiting research isn’t the methodology. It’s the absence of a clear brief. People start pulling data without defining what decision the research needs to support, which means they end up with information that’s interesting but not actionable.

A useful recruiting research brief answers four questions before any data collection begins. First, what decision are we trying to make? Second, what do we already know, and what are we assuming? Third, what would change our approach if we found out it was wrong? Fourth, what’s the minimum viable research that would give us enough confidence to proceed?

That last question is important. Recruiting research doesn’t need to be exhaustive to be useful. Early in my career, I learned the value of resourcefulness over perfection when the answer to a budget request was simply no. You find ways to get what you need with what you have. For recruiting research, that often means a handful of recruiter conversations, a systematic review of competitor job postings, and a structured debrief with your last three hires. That’s not a full research programme, but it’s enough to sharpen a brief considerably.

If you’re hiring for a highly specialised role, particularly in B2B technology or SaaS, it’s also worth thinking about how recruiting research intersects with your ideal customer profile framework. The same rigour you apply to defining who you’re selling to should apply to defining who you’re hiring. Both require specificity, both require validation against real-world signals, and both go wrong in the same way when teams rely on internal assumptions instead of external data.

Where Recruiting Research Goes Wrong

There are a few consistent failure modes worth naming.

The first is using aggregated data without adjusting for context. A salary benchmarking report that covers an entire industry sector will include roles at companies with very different value propositions, cultures, and total compensation structures. Using the median as your target without understanding where you sit in that distribution is not benchmarking. It’s guessing with a spreadsheet.

The second is confusing what candidates say with what they do. Candidates will tell you in interviews that they care most about growth and culture. The same candidates will take a competing offer that pays 15% more with a worse commute. This is not dishonesty. It’s the gap between stated and revealed preference that shows up in every form of consumer research. The same scepticism you’d apply to a focus group finding about purchase intent applies here. Behavioural data, what people actually accepted or declined, is more reliable than attitudinal data about what they claim to value.

The third failure mode is treating recruiting research as a one-time exercise. Talent markets move. Compensation benchmarks shift. Competitor hiring patterns change. What was accurate six months ago may not be accurate now, particularly in functions where demand is volatile. Building a lightweight, recurring intelligence process is more valuable than a comprehensive one-off audit.

This is similar to how grey market research approaches informal or non-traditional data sources: the value isn’t in any single data point, it’s in the pattern that emerges when you look consistently over time.

Applying Research to the Job Description

Job descriptions are marketing copy. They have a specific audience, a specific purpose, and they either convert or they don’t. Most of them are written by people who have never thought about them that way.

The research brief you’ve built should directly inform how the role is framed. If your evidence suggests that the candidate pool you’re targeting is being approached by multiple employers simultaneously, your job description needs to lead with differentiation, not with a list of requirements. If your evidence suggests that candidates in this function consistently cite a specific pain point with their current employer, your description should address that pain point directly.

This is the same logic that applies to any conversion-focused copy. Unbounce’s work on landing page behaviour makes the point clearly: people decide whether to engage within seconds, based on whether the page speaks to what they came looking for. A job description that leads with company history and a wall of requirements is the equivalent of a landing page that buries the value proposition below the fold. The candidate has already moved on.

Writing effective job descriptions also means being honest about what the role actually involves. Candidates who join based on an inflated or misleading brief leave quickly, and the cost of that churn is significant. Clarity in the description is not just good ethics. It’s good economics.

Recruiting Research as Part of a Broader Intelligence Function

The most sophisticated organisations don’t run recruiting research in isolation. They integrate it with their broader competitive and market intelligence function, so that hiring signals, compensation data, and talent pool mapping inform strategic planning alongside customer data and competitive analysis.

When I was working with technology businesses on strategy alignment, one of the consistent gaps I observed was between what the business said it wanted to do and what it was actually hiring for. A company claiming to be investing in data-driven marketing while hiring no data analysts is telling you something important about the gap between strategy and execution. That gap is visible in the hiring record, if you’re looking. The alignment between technology consulting, business strategy, and operational reality is exactly the kind of thing recruiting research surfaces when it’s treated as strategic intelligence rather than an HR administrative task.

For marketing teams specifically, recruiting research also informs how you position your employer brand externally. If your evidence suggests that your target candidates are active on specific communities, platforms, or forums, that shapes where you invest in employer brand content. If it shows that your Glassdoor rating is affecting application rates in a particular function, that’s a product problem that needs fixing before the marketing spend on recruitment advertising makes any sense.

Building a culture that generates honest internal feedback, and acting on it, is more effective than any amount of employer brand content. Optimizely’s work on experimentation culture makes a related point about organisations that test and learn: the culture has to support honest feedback loops, or the data you collect tells you what people think you want to hear rather than what’s true. Recruiting research has the same dependency.

The Pain Point Angle: What Candidates Are Actually Trying to Escape

One of the most useful frames for recruiting research is the same one that drives good product and service positioning: what problem is your candidate trying to solve? What are they moving away from, not just moving toward?

Candidates rarely leave jobs purely because a better opportunity appeared. They leave because something about their current situation became unsustainable: the management changed, the growth stalled, the culture shifted, the work stopped being interesting. Understanding those push factors in your target candidate pool is as valuable as understanding the pull factors your opportunity offers.

This is where pain point research methodology translates directly to recruiting. The same structured approach you’d use to understand why a customer is dissatisfied with a current vendor applies to understanding why a candidate is dissatisfied with a current employer. The questions are different, but the research design is the same: open-ended exploration first, pattern identification second, hypothesis testing third.

When I ran a paid search campaign at lastminute.com for a music festival, the thing that made it work wasn’t the targeting. It was understanding what the audience was actually in market for: not just tickets, but the experience, the escape, the thing they’d been meaning to do. The copy that converted was the copy that spoke to the desire, not just the product. Recruiting works the same way. The job description that converts is the one that speaks to what the candidate is actually looking for, which you can only know if you’ve done the research to find out.

Social listening tools give you a passive version of this. Monitoring what people in your target function are discussing on LinkedIn, Reddit, or industry forums tells you what’s frustrating them, what they’re excited about, and what they’re paying attention to. Buffer’s analysis of social media trends underscores how much signal is available in public social conversations, if you’re set up to capture it. That signal applies to talent markets as much as customer markets.

The full picture of how to approach market research across different contexts, including the methodological choices, the common failure modes, and the ways different research types connect to each other, is covered in the Market Research and Competitive Intelligence hub. Recruiting research is one piece of that, and it’s more useful when it’s connected to the broader intelligence infrastructure rather than treated as a standalone HR task.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

Frequently Asked Questions