Who actually responds to your job posting? And does your job text match what that candidate really cares about? With the Candidate audience analysis in Booston you answer those questions with a single click. The AI builds a profile of the ideal candidate this type of role attracts in your region: who they are, what motivates them, what makes them hesitate and how to speak to them.

The end goal: more conversion. By tuning your job text and Meta ads to the real audience — instead of a gut feeling — more of the right candidates click and apply. After this article you will know how to set up the analysis, run it, read it and turn it into better copy.

Before you start

• AI features must be active on your environment.
• The job must be active and published — the analysis does not run on paused or expired jobs.

Step 1: set up the analysis

1. Go to Campaigns & AI → AI → Prompts in the menu and open the Job and job content section.
2. Turn on the Enabled switch for the candidate audience analysis.
3. At Analysis depth, pick the default depth: Quick (a short, to-the-point explanation per section) or Thorough (more detailed reasoning).
4. Optionally fill in Custom focus with your own instructions, included in every analysis.
5. At When to run the analysis, choose how the analysis starts: Manual (on demand) — you click per job yourself — or Automatically on job creation, see Prefer automatic? Two ways to do it.
6. Click Save.

Step 2: open the job and start the analysis

1. Open the job in the job editor.
2. Go to the Audience step.
3. Click Run analysis.

The analysis runs in the background; you see the status "Analysing this job…" and can keep working. The result is usually there within 15 to 30 seconds. Analyses started by a colleague, the ATS connection or an automatic run also appear here live.

The AI looks at the defining fields of your job — job title, location and attributes such as education level, employment type and experience — and combines them with what is known about this audience in the labour market. The "About the company" information from your AI settings is included as well. The results appear in the language of the job.

Step 3: read the results

After the analysis you see five sections:

• Audience snapshot — a short description of the ideal candidate: who they are, what career stage they are in and the situation they are searching from. With handy tags summarising the audience.
• Audience-fit — the score Strong, Moderate or Weak, showing how well your job, as it stands, matches what this audience expects.
• Primary motivators — the five most important drivers of this audience, ranked by weight. This is what wins a candidate over.
• Likely objections — the three most likely doubts or drop-off moments.
• Conversion hooks — three concrete messaging angles most likely to make this audience click and apply.

The outcome gives you two things

1. Who is your audience — and does your proposition fit? The Audience snapshot tells you who realistically responds to this role, and the Audience-fit shows whether your offer matches what that audience expects. Scoring Moderate or Weak? Then the motivators and objections show you exactly where it pinches — for example expectations around salary, flexibility or growth. That lets you sharpen your proposition where it counts.

2. How do you communicate what already fits? Based on your current proposition, the Primary motivators and Conversion hooks show which elements of your offer deserve more prominence. And as the finishing touch comes the communication analysis: the Language & tone for Meta section tells you which tone resonates with this audience, with concrete words to lean into (Use) and words to avoid (Avoid) — for both your job text and your Meta ads.

Together those two make sure the right message, in the right tone, reaches the right candidate. And that is exactly what raises your conversion.

Prefer automatic? Two ways to do it

Automatically for every new job. At When to run the analysis, turn on Automatically on job creation. Every new job that is created and activated — including jobs coming in through your ATS connection — then automatically gets one analysis. The analysis runs in the background and does not repeat on later edits.

Once for all your active jobs. With Run on all active jobs (one-time batch) you run the analysis in one go for all active jobs that do not have one yet. You see a confirmation with the number of jobs up front. Jobs that were already analysed are skipped.

Create or optimise your job with the analysis as its foundation

You can also put the analysis at the start of the process instead of at the end:

1. In the jobs overview, click New job and choose Create with AI.
2. Enter your raw input: pasted job text (Raw text), a link (From URL) or an existing job (From existing job).
3. Click Create job and review the result in the job editor.

The AI runs the candidate audience analysis first and uses the outcome as the foundation to build the full job: title, texts and attributes — tuned to the audience from the very first word. You use the same wizard through Optimize with AI to improve an existing job.

Use the analysis for your Meta job ads

Your Meta ads benefit directly from the analysis too. In the Meta job ads content template, the Use candidate audience analysis setting controls how AI content generation handles it:

• Use analysis if available (default) — if an analysis exists for the job, it is automatically included as context when generating the ad copy.
• Run analysis first, then generate — if no analysis exists yet, the AI runs it first and then immediately generates the ad based on the result.
• Do not use analysis — the analysis is ignored.

When ad content was generated based on an analysis, an indicator appears on the content block, with a View analysis link that opens the full analysis in a side panel. If the analysis was re-run afterwards, you get a notice with the option to regenerate the ad content.

Re-analyse with a different focus

Want to refine the analysis, or has your job changed?

1. Click Re-analyse at the top right.
2. Optionally adjust the Depth (Quick or Thorough).
3. Optionally fill in Custom focus with instructions to steer this specific analysis.
4. Click Run analysis.

On every job you can see at the top when the last analysis ran ("Last analysed"), so you know whether the result is still current.

Get going with the insights

• Work the Conversion hooks into the first paragraph of your job text and into your Meta ad copy.
• Address the main doubts from Likely objections up front in your text.
• Use the Use and Avoid words from Language & tone for Meta when (re)writing.
• After adjusting your job, run a new analysis and check whether your Audience-fit improves.

Need help?

Is the analysis not starting, or are you unsure how to translate the outcome into your job text? Mail support@booston.io or call 085 0044 215 and mention:

• the name of your environment;
• what you want to achieve;
• the message you see, if there is an error message.

Prefer to walk through the settings together? Book a free 30-minute online demo — and we will go through it with you. Job Done!