Hiring Staff with Targeted Ads: chat manager recruitment case, Kyiv

In short: this is the AkitaLab Lead Generation Accelerator in action. Three channels (Meta Ads + Google Ads + a landing page), server-side infrastructure, and a CRM quality loop: candidate statuses were fed back into the ads, and the algorithm learned to bring not "clickers" but people who make it to the interview and show up for work. Decisions were made in money metrics — cost per interview, not cost per click. Instead of a chaotic flow from job boards — a steady 6–7 new employees a month and an unburdened HR team.

The business needed a steady flow of candidates for in-office roles at a predictable price. Before advertising, hiring rested on job boards alone: hundreds of inbound calls a day, only a handful relevant, while HR couldn't process the flow with any quality.

The niche is hard: the term "chat manager" is algorithmically overheated, and 18–25% of applications are irrelevant or unreachable (someone applies and never gets in touch). That's why the project was built not for application volume, but as a system with quality control at every stage.

What this looks like in real life. HR's morning before the system: 40 missed calls from a job board, three of them relevant, the rest "just looking". A morning with the system: five new applications in the CRM, each already holding answers to the qualifying questions — who's worth talking to is clear before the first call.

For the HR team

The inbound-flow "noise" is gone. The server cuts off repeat applications, qualifying questions in the form filter out random people, and the lead lands in Telegram within seconds.

HR no longer calls hundreds of empty contacts — the freed-up time goes to real candidates and a quality interview. The workload dropped and the result went up.

What it costs the business

An ad budget of $1000–2000/mo delivered 6–7 new employees each month.

For example: over the whole period about $9000 was spent on advertising — roughly $113 per candidate who started training and about $191 per one who stayed on.

These figures are the ad budget, paid directly to the platforms (Meta/Google).

*April — the month of rebuilding the system and migrating to a new campaign structure.

Three ad channels brought together into one system, where each part solves a specific hiring problem. No technical jargon — here's what it gives you.

A fast and cheap start

Instead of guessing for months which ad will work, in a few weeks of tests we find the working options and switch off whatever doesn't bring candidates. The budget isn't drained on guesses — that's exactly how we found the cheapest application at $5.53.

A site instead of "applying blind"

The candidate first lands on the site, reads the terms — and only then leaves their contact. So they make it to the interview noticeably more often: on average across the project, one in four applications (~25%) reached the interview. For you that means fewer empty calls and more real interviews from the same budget.

The hottest candidates from search

Some people are job-hunting right now — they type "office job, Kyiv" into search and land on your site. These are the most deliberate candidates: they're already ready and motivated, not someone who just happened to see an ad in their feed.

Ads that learn from your own candidates

This is the main advantage. HR marks which candidates made it to the interview and which turned out to be empty — and the ads retune every day to find "more of the same". Over time they bring more people who show up and fewer who disappear. This gradually lowers the cost of a real candidate: your budget goes to people who actually come to work, not to "clickers".

Speed directly affects hiring too. An application reaches HR within seconds, not once a day — so the candidate doesn't have time to cool off. Research shows that contact within the first 5 minutes gives many times higher odds of getting a person to the interview.

Under the hood — server-side processing of applications, automatic deduplication, and data delivery into Meta, so no application gets lost and HR doesn't do double work. I'll gladly walk you through the technical details on a call.

The main thing: a cheap application doesn't mean a cheap employee. A cheap click often brings curious viewers rather than candidates — that's why every decision is made by the cost per interview and per hire, not by "pretty" ad metrics.

Inside, the ads are constantly fine-tuned — by age, placements, and creative type — to keep the cost of a real candidate low.

The quality of inbound applications is controlled on three levels: qualifying questions in the form (age, readiness to relocate), deduplication on the server, and training the algorithm on the CRM statuses.

• Office or high-volume hiring — from a few new people a month.
• An overheated niche where job boards mostly deliver a "junk" flow.
• An ad budget from $1000/mo — the minimum for training the algorithm.
• A willingness to keep CRM statuses (5 minutes a day for HR) — the system learns from them.
• You need a predictable flow, not one-off spikes of "feast or famine".

Who this does NOT fit:

• You need one person, one time — the system won't have time to pay off; it's cheaper to fill the vacancy manually or through referrals.
• No CRM and no willingness to mark candidate statuses — without that feedback the algorithm doesn't learn, and the system loses its main advantage.

In the overheated niche, what wins is not the "cheap lead" but the system: multichannel reach (Meta Ads + Google Ads + a landing page), server-side infrastructure with no lost applications, and a quality feedback loop into the algorithm. For the business this means a predictable flow of people who actually show up for work, at a clear price; for HR — less routine. In six months — 80 candidates in training, 47 stayed on, and the share of quality grows month over month thanks to the CRM loop. This is the Accelerator principle at work: ads learn from your sales, not from clicks — in this case, the role of the "sale" was played by a candidate showing up for work.

The same system works for leads and service sales: a CRM quality loop, three channels, and reporting in money metrics. That is exactly what you get with the AkitaLab Lead Generation Accelerator — what the client-acquisition system includes.