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Using behavioral data to improve the precision of your job marketing has never been easier. Simply enter the job title and location, and you’ll instantly receive a data driven marketing strategy.
Enter job title
Enter the job title and the system will automatically search for a match. You can also choose job category or title manually.
Add job location
Add the location for the role you’re hiring for.
View strategy
You will immediately receive a data-driven strategy proposal for the advertisment of the job
Confirm order
Submit your order, and we’ll take it from here.
In addition to being a job advertising platform, our technology use candidate behavioral data from job sites to target job ads toward audiences based on proven performance and what actually delivers results for each job type.
Our measurement points gather and segment data that shows user behavioral patterns on the job site
when marketing jobs with Frantz, we create a mirror page with strategically placed measurement points to track engagement level with your job ad.
These measurements give a true view of your marketing impact, showing how your target audience interacts with your job ad.
The technology analyze effectiveness by measuring behavioral patterns and respons from each channel
We analyze engagement on your job ad and the channels your audience comes from, using data collected from measurement points to deliver clear insights of the marketing impact.
Analysis of engagement data helps us refine your job marketing continuously, ensuring it achieves the best possible results.
Your job is targeted to audiences who’ve shown interest in similar roles
Frantz collects data from users who accept cookies on your job ad, allowing targeted marketing of similar positions to them in the future (within 90 days).
By tagging and categorizing data from job ads, we can marketing your position to audiences who engaged with similar roles in the past 90 days.
The audience grows as we identify and engage digital twins of your target group
Digital twins are potential candidates similar to those who have already engaged with comparable jobs. They are identified using behavioral data from users who have shown a high level of engagement for similar positions, combined with platform algorithms.
This expands your target audience based on users that have showed a high level of engagement in comparable jobs.
How do we increase targeting accuracy?
In short, traditional methods rely on marketing to broad and generic audiences, which means it’s largely random who sees your job ad.
With a data-driven approach, your job is promoted to audiences that have already shown interest in similar positions – a more relevant audience. Additionally, we analyze performance metrics to see how engaged your audience is with the job ad and which channels they come from, allowing us to continuously market your job ad strategically to the most relevant audience possible.
What sets our technology apart is that we expand the audience for your job ad based on those who have shown a high level of engagement with similar positions. This allows us to reach audiences that resemble your most relevant visitors.
Traditional job marketing
Traditional targeting methods often promote job ads broadly, which can waste resources on audiences that are not relevant.
While broad marketing may drive views and clicks, without tracking what happens after the click, you might only discover too late that few of the right candidates actually saw your job.
Often a broad and generic target audience
Limited performance tracking
Driven by visibility and traffic targets, not always by relevance or quality
Marketing strategy are often based on habit and intuition, not proven results
Data-driven job marketing
Using a data-driven targeting method, your job reaches an audience that has already engaged with similar position.
The job ad also includes performance tracking, providing information on what happens after someone clicks on the ad. This allows the marketing to be continuously optimized based on how the audience actually responds.
The position is marketed to those who interacted with similar job ads in the last 90 days
Digital twins grow your audience by targeting users similar to those who engaged with comparable roles
Traffic quality is determined by analyzing engagement patterns on your job ad
Marketing is optimized using real engagement data from the ad
Our technology, already integrated by several major companies, is continuously powered by behavioral data from job ads to enhance targeting accuracy.
When integrated with our system, it collects behavioral data from all job ads to analyse visitor behavior patterns.
An integration not only improves targeting precision but also simplifies ordering marketing for a job – making marketing simple, fast and precise.