The market for candidate acquisition platforms has become hard to read: multiposters, programmatic, AI agents, each one promising "more candidates for less". To choose, you have to bring the decision back to six measurable criteria: distribution reach, targeting, cost per application, qualification, reporting and contractual commitment. This guide reviews them, with the precise questions to ask and the pitfalls to avoid.
What is a candidate acquisition platform?
It is software that generates applications for your roles: it distributes or promotes your job offers across multiple channels, captures the applications and, for the most complete ones, qualifies them before passing them to your ATS. It is judged on one outcome: the cost and quality of the candidates delivered.
The need remains massive in France: according to France Travail's labour-needs survey (Besoins en main-d'œuvre), nearly 2.3 million hiring intentions were recorded for 2026, and 43.8% were rated difficult by employers. For these difficult hires, the acquisition platform is the tool that goes and finds the candidates traditional channels no longer bring in.
Before comparing offers, make the internal diagnosis:
- Lack of volume: your job ads do not generate enough applications.
- Lack of quality: you receive volume, but off target.
- Lack of time: screening and multichannel management overwhelm the team.
The six criteria below do not carry the same weight depending on your diagnosis.
Sources: France Travail, Besoins en main-d'œuvre survey 2026.
What distribution reach should you require?
Require reach that goes beyond job boards: social networks, mobile apps, content sites, audio. Job boards only reach active candidates, yet most talent is passive: on Seeqle campaigns, 80% of the profiles reached are passive profiles, reached through display, audio and social networks. Reach sets the ceiling of your talent pool.
The questions to ask:
- Which channels exactly: job boards (which ones, how many), social networks (which ones), display, apps, audio?
- What depth: real, managed publication on each channel, or a simple reshared link?
- What ability to reach passive candidates: does the platform distribute where people spend their time? In France, internet users spend more than 3 hours a day online, around 80% of it on mobile, and 43.9 million French people visit social networks every day (Médiamétrie, year 2025).
- What inventory size: the broadest programmatic platforms claim millions of distribution points; Seeqle, for example, distributes on more than 2 million sites and apps, including Facebook, Instagram, TikTok, Spotify, Google and 35+ job channels.
The simple test: ask where your target persona (a 32-year-old maintenance technician, a 40-year-old nurse) will actually see your job offer. If the answer is limited to job boards, the reach is incomplete for hard-to-fill roles.
Source: Médiamétrie, L'Année Internet 2025.
Which targeting capabilities should you check?
Check that the platform targets by precise professional criteria (job, skills, area, behaviour) and not just by channel. Good targeting reduces the budget wasted on irrelevant audiences and mechanically improves the qualification rate of applications.
The maturity levels of targeting:
| Level | Capability | Effect |
|---|---|---|
| Basic | Choice of job board or channel | Targeting by search intent only |
| Intermediate | Demographic and geographic criteria | Fewer out-of-area candidates |
| Advanced | Prebuilt professional audiences, behavioural criteria | Reach relevant passive candidates |
| Agentic | AI builds the audience from the job offer | Set up in minutes, continuous optimisation |
The decisive questions: how many prebuilt professional audiences (advanced players offer several thousand, backed by hundreds of thousands of criteria)? Can you target a precise job within a precise radius? Does targeting refine itself automatically during the campaign based on the applications obtained? And finally: does targeting respect the ad platforms' rules on job ads (non-discrimination), a point on which the vendor must be clear-cut.
How do you assess the cost per application?
Compare platforms on the full cost per application, then relate it to the qualification rate: (subscription + media budget + additional charges) divided by useful applications. The subscription price alone tells you nothing; a cheap tool that delivers off-target applications costs more in the end.
The honest calculation method:
- Add everything up: subscription, media budget, commissions on media, setup fees, paid connectors.
- Divide by the applications received: you get the gross cost per application.
- Relate that cost to the qualification rate: this is the figure that counts, the one you compare with your current channels and with the cost of an agency.
- Project over the year: include seasonality and the volume tiers in the contract.
Points to watch: flat-fee models that do not detail the share actually invested in media make any comparison impossible; costs per click are not costs per application (a low CPC with a poorly converting form produces a high cost per application). For reference, the Seeqle base plan starts at €500 per month, excluding distribution credit (details on the pricing page).
Why does qualification matter as much as volume?
Because raw volume is paid for twice: in media budget, then in screening time. A platform that automatically qualifies applications (enrichment, explainable scoring) delivers less noise and candidates who can be used immediately. It is the criterion that most separates the offers on the market.
What to require:
- A measured qualification rate: the share of applications that meet the essential criteria of the role, tracked by campaign and by channel. On well-targeted and qualified campaigns, rates of 40 to 50% are documented (42% at Stanley Field, 45% at Rothelec, 53% on average across Seeqle campaigns).
- Explainable scoring: each score comes with the criteria met and missing, not an opaque number. It is also a requirement of the European regulatory trajectory: the AI Act classifies AI recruitment tools as high risk, with obligations applying to standalone systems on 2 December 2027.
- A decision that stays human: the platform prioritises, the recruiter decides; no invisible automatic rejection.
- A measurable impact on time: combining targeted distribution with automatic qualification reduces the time spent on the upstream part of recruitment; ask the vendor to measure it on your own roles.
Sources: Regulation (EU) 2024/1689 and AI Digital Omnibus, 2026.
What reporting should you require from an acquisition platform?
Reporting by campaign and by channel, covering the whole funnel: impressions, clicks, applications, qualified applications, unit costs at each stage. You must be able to check the figures yourself and export the data; an aggregated dashboard without detail is a warning sign.
The minimum reporting content:
| Level | Expected indicators |
|---|---|
| Distribution | Impressions, reach, frequency, by channel |
| Engagement | Clicks, CPC, click-through rate, by creative and by audience |
| Conversion | Applications, form conversion rate, cost per application |
| Quality | Qualification rate, share of useful applications |
| Downstream | Interviews, hires (through the ATS integration) |
Three complementary requirements: freshness (data updated daily, not a monthly PDF report), comparability (the same metrics on every channel to allocate the budget) and connection to the ATS (more than 60 ATS connected at the most integrated players) to track all the way to the hire. It is this full loop that makes it possible to calculate a real return on investment, from media budget to filled position.
What contractual commitment should you accept?
Plan for an initial commitment of at least three months: that is the time needed to cover a full recruitment cycle (distribution, applications, interviews, hire) and to judge on figures rather than on an impression. Below that, neither you nor the vendor can prove anything. What matters is not how short the contract is but how clear the terms are: a trial period to validate onboarding, data reversibility and written exit conditions. Be wary, on the other hand, of twelve-month lock-ins signed before any proof on your roles.
The clauses to negotiate:
- Trial, then pilot: a free trial (Seeqle, for example, offers 14 days) serves to validate onboarding; proof of value then comes from a three-month pilot with quantified objectives.
- Duration and exit: three months to prove itself, reasonable notice afterwards, no long tacit renewal or disproportionate exit penalties.
- Reversibility: full export of applications, scores and statistics in a standard format, followed by certified deletion.
- Scalability: the option to adjust the number of campaigns or users down as well as up.
- Compliance: GDPR data processing agreement annexed, written commitment on the AI Act compliance plan.
How do you test before rolling out?
Run a three-month pilot on one or two genuinely hard-to-fill roles, with quantified objectives set before launch: target cost per application, time to first application, minimum qualification rate. Decide on the pilot's figures, not on the sales demo.
The test protocol:
- Choose roles that represent your real difficulties, not the easiest ones.
- Set the success criteria in advance and have the vendor validate them: it is an excellent indicator of its confidence.
- Connect your real ATS from the pilot onwards: integration is the most frequent point of friction.
- Compare against a benchmark: the same role distributed on your usual channels, over the same period.
- Debrief the full funnel: where candidates drop off, what recruiters say about quality, what candidates say about the experience.
At the end of the pilot, the decision comes down to three figures compared with your existing setup: cost per application relative to the qualification rate, time to fill, team time consumed. If the platform clearly improves them on your difficult roles and ticks the contractual criteria above, you have your answer.
The next step
Fewer applications to sort, more good ones.
If you spend time turning down applicants, the problem sits upstream. The Match Agent analyses and scores every application as it arrives: you only read the ones that matter.
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