Using target audience data for job adverts means basing your job description on what your ideal candidate is actually looking for and values, rather than on assumptions. You gather data on motivation, terms of employment, search behaviour and channels, and translate those insights into the headline, the first paragraph and the terms and conditions you set out.
Does this sound familiar? Your job advert has been online for weeks, but you’re getting no responses – or the ones you do get aren’t a good fit. Often, this isn’t down to the job market alone, but to a job description written on gut instinct. With target audience data, you can turn that around.
What is target audience data, and why does it influence your job advertisement?
Target audience data comprises all the information about the candidates you wish to reach: their job preferences, motivations, key employment conditions, search terms and the channels they use. This data is sourced from campaign results, application behaviour and public labour market sources.
Your job advertisement is the first point of contact with an A-player. If the text resonates with what motivates your target audience, the quality of your pool of applicants will improve significantly.
At FosFor, we draw on data from hundreds of recruitment campaigns, supplemented by target audience research. Time and again, this combination shows that employers assess their own appeal differently from how candidates do.
The labour market is structurally tight: the CBS’s labour market tension indicator has shown for several quarters now that there are more job vacancies than jobseekers, with engineering and construction leading the way (CBS, 2025). It is precisely at such times that the quality of your writing determines whether you stand out.
What target audience data do you use for your job advertisement?
To write a compelling job advertisement, you should use four types of target audience data: motivation and driving factors, preferences regarding terms of employment, search and channel behaviour, and competitor data. Together, these tell you what to highlight, in what order, and using which words.
Would you like to find out more about data-driven recruitment?
- Recruitment using AI and data
- Takes an average of 3–8 weeks to complete
The table below compares the four data sources with their impact on your text, so you can see where to start.
| Type of target audience data | Where do you get that from? | How does it improve your text? |
|---|---|---|
| Motivation and driving forces | Exit interviews, interview questions, campaign responses | The opening and the “why work for us” message |
| Preferred terms and conditions of employment | Target audience research, benchmarking, candidate interviews | Which conditions to prioritise and which to omit |
| Search and channel behaviour | Campaign data, Google search terms, social media statistics | The job title, keywords and the chosen channel |
| Competition data | Job vacancies from direct competitors, salary benchmarks | Your distinctive message and tone |
If you want to get started with this in a structured way, a target audience analysis for blue-collar vacancies to bring these sources together in one place.
You don’t need to buy an expensive package to do this. Also labour market data without expensive tools provides you with plenty of guidance, for example through the UWV’s figures on shortage occupations (UWV, 2025).
How do you translate target audience data into a specific job advertisement?
You translate target audience data into text by linking each insight to a specific part of the job advert: the title, the first five lines, the terms and conditions, and the call to action. This way, the data becomes a decision-making tool rather than a report that ends up in a drawer.
Start with the job title that your target audience types in
Candidates search using the term they are familiar with, not your internal job title. Data on search behaviour often shows that “mechanic” generates more search volume than “level 3 service technician”.
Choose the title that your target audience data identifies as the most frequently searched variant, and make sure it remains recognisable. This will also make your job vacancy easier to find on Google for Jobs, which relies on clear job titles (Google Search Central, 2025).
Put the motivation first, not the company’s history
The first paragraph determines whether someone carries on reading. Use motivation data to hit home straight away what your target audience is looking for: certainty, expertise, a strong team or career progression.
For example, an operator values different things to a sales professional. You should therefore check in advance Which employment conditions do operators really consider important? before you start writing.
Identify the conditions that emerge from the data
Salary is rarely the whole story. Target group data often reveals that commuting time, shift patterns, job security or tools carry more weight than employers realise.
Put the three conditions that score highest in your data at the top and remove the rest from the first half. That way, you can see straight away what matters.
What mistakes do employers make when they lack target audience data?
Without target audience data, employers tend to write primarily from their own perspective, with a long list of requirements, internal job titles and a list of terms and conditions of employment in no particular order of priority. The result is a text that doesn’t really appeal to anyone.
A list of the most common mistakes:
- A job title that nobody types in, which causes your visibility to plummet.
- An opening paragraph about the company rather than the candidate.
- A ten-point list of requirements that puts off those who are on the fence.
- Terms and conditions of employment listed in no particular order, which means the most important points get lost in the mix.
- One standard text for every channel, whilst LinkedIn and TikTok require a different tone.
These mistakes cost you responses and time. You’ll notice this straight away from a lower the quality of your pool of applicants, which you can actually increase by using the right wording.
If you’d like to understand how this approach fits into a broader strategy, please read what data-driven recruitment means in practice.
Step-by-step guide: from target audience data to a job advert that works
This step-by-step guide will help you turn raw data into copy that attracts top talent. Follow the steps in order and keep your data to hand as you work on your draft.
- Collect data from campaign responses, job interviews and public labour market sources.
- Identify the three main motivators of your target audience.
- Choose the most searched-for job title based on search behaviour.
- Write an opening paragraph which directly identifies the main motivation.
- Rank the terms and conditions of employment based on what your data strongly suggests.
- Adjust the pitch and duration on the channel where your target audience is.
- Measure and adjust: look at the responses by channel and adapt your text accordingly.
This approach is exactly how FosFor operates its data-driven recruitment campaigns. On average, vacancies are filled within 3 to 8 weeks, whilst the client only interviews the 2 to 4 best candidates per month. You can read more about this in our data-driven approach.
“Employers often think they know what motivates their target audience, but the data regularly reveals a different top three,” says one of our recruitment specialists. “As soon as you reverse that order in the text, the quality of the responses changes immediately.”
Frequently asked questions about target audience data for job vacancies
What is the minimum amount of target audience data do I need for a job advertisement?
You’ll need at least three things: your target audience’s key motivations, their preferences regarding employment conditions, and the job title they use when searching online. You can gather this information from job interviews, campaign responses and free labour market sources such as UWV figures, without having to buy expensive software.
How much does it cost to collect target audience data?
You can gather basic target audience data largely free of charge through your own job interviews, campaign statistics and public sources such as the UWV and CBS. If you want to gain a deeper understanding and tailor your approach to each campaign, a specialist agency is more cost-effective than using individual tools or spending endless time researching it yourself. Book a consultation for tailored advice on your specific situation.
Does target audience data also work for niche sectors such as engineering and the maritime industry?
It is precisely in tight labour markets such as engineering, logistics and maritime shipbuilding that target audience data makes all the difference. As few candidates are actively looking for work, your copy needs to appeal to latent jobseekers by tapping into their motivations. FosFor has extensive experience with these hard-to-find profiles; please feel free to take a look our results.
How do I know if my new job advert is performing better?
You can gauge this by the quality and speed of your responses: suitable candidates, fewer dropouts and a shorter turnaround time. Compare the number and quality of responses per channel before and after the change. Make adjustments weekly based on those figures, rather than once a quarter.
Would you rather not figure this out yourself, but instead discuss your vacancy and target audience straight away? Book a no-obligation strategy meeting and find out how to attract the right candidates more quickly using target audience data.