A media buyer’s job is to turn the team’s ad budget into profit: every dollar sent to Meta, Google or TikTok has to come back larger. In practice that means testing campaign bundles of creative plus audience plus landing page, cutting the losing ones, scaling the profitable ones and answering for one headline number, ROI. What separates a buyer from a targetologist is not the tool, since the ad account is the same for both, but the accountability model: a buyer puts the team’s budget at risk and earns on the profit they generated themselves. Below are a buyer’s duties, the skills and tools the job needs, what a day and a week look like, and the career ladder inside a traffic team.
What does a media buyer do every day?
A typical day for a buyer in a team: reviewing overnight results in the tracker, a short sync with the team, briefing new creatives, launching tests, going through numbers with the analyst. The core mental work is not “clicking buttons in the ad account” but forming hypotheses: which audience, which message in the creative and which landing page will together produce positive unit economics. A buyer does not design creatives and does not “hunt for accounts” on their own. In mature teams those are separate departments, design and account farming, while the buyer does the main job: hypotheses and scaling. In dating, about half of our spend goes through Meta, so confident command of Ads Manager is a baseline requirement.
Formally the duties come down to four blocks: planning tests and splitting budget across bundles; launching and running campaigns in the ad accounts; daily metric control and the “kill / keep / scale” decision; reporting on spend and profit to the Team Lead. Everything else is adjacent roles that a buyer should understand but not perform.
What skills does a media buyer need
Hard skills are what gets checked in the test task:
- Ad accounts at confident-user level. Campaign structure, optimisation types, moderation rules, how the algorithm behaves during the learning phase. Meta is the baseline minimum, then TikTok and Google. In dating, on top of the general moderation rules there is Meta’s official policy on dating ads, a separate standard for the category.
- Working with a tracker. Setting up flows, tagging traffic, reconciling ad account data with partner data and seeing exactly where conversions are lost.
- Confidence with numbers. CPM, CTR, CPA, ROAS, approval rate, margin: a buyer has to run the unit economics of a bundle in their head and know at what registration cost a test still makes sense.
- Basic cohort analytics. Traffic is judged not by day one but by cohort behaviour: how many of the people who signed up on Monday paid on day seven. Without this a buyer scales “pretty” campaigns that are in fact in the red.
- A grasp of creative. Not the ability to design, but the ability to brief a designer: which pain, which message, which format, what exactly this iteration is testing.
Soft skills matter no less in buying, because the profession is built on constant losses:
- Tolerance for uncertainty. 6–8 of every 10 tests lose money, and that is normal, not failure. A buyer who burns out after three losing launches does not last in the job.
- Test discipline. Change one variable at a time, do not kill a campaign in its second hour, wait for a statistically meaningful volume. Chaotic launches produce none of the knowledge the team is paying for.
- Honesty with numbers. Admitting a bundle is dead and switching it off in time is worth more than “dragging it to the end of the month”.
- Communication. A buyer works at the junction of design, account farming and analytics: half the result depends on how precisely they brief the adjacent departments.
What tools does a buyer use day to day
Ad accounts are the main workplace. Meta Ads Manager, TikTok Ads, Google Ads: this is where launches happen, budgets get edited, audiences get built and moderation gets fought. In most teams a buyer specialises in one source and knows it deeply, rather than knowing “a bit of everything”.
A tracker (Keitaro, Binom, Voluum) is the accounting system without which buying turns into guesswork. The tracker pulls together clicks, conversions and spend for every bundle, tags flows and shows which creative, GEO or placement actually brings money. The tracker is the first thing a buyer looks at in the morning.
An antidetect browser and proxies are the infrastructure for working with accounts: isolated profiles, spoofed digital fingerprints, stable IPs for the GEO you need. In teams this is the account farming department’s job, but a buyer has to understand the logic, how browser fingerprinting works (EFF), so as not to burn an account with atypical behaviour.
Spy services are reconnaissance tools: they show which creatives competitors are running right now, how long an ad stays alive and which landing pages sit behind it. A buyer uses them not for copying but to see where the market is heading and to save iterations on tests.
BI and reporting are dashboards with spend, profit and cohort LTV. In mature teams a buyer has access to their own numbers in real time: it is both a working tool and a way to verify how the bonus was calculated.
Media buyer vs targetologist vs solo affiliate
These three roles get confused most often, because the tool is the same for all of them, the ad account. The difference is in the accountability model, in whose money is at risk and where the income comes from:
| Targetologist | Media buyer | Solo affiliate | |
|---|---|---|---|
| What they do | run client ads against client KPIs | buy traffic and scale profitable bundles | their own buyer, farmer, designer and accountant |
| Whose money | client budget, capped | team budget, no ceiling while in profit | personal savings |
| Success metric | leads, CPM, reach | ROI, paying users, LTV | personal profit after all costs |
| Income | fixed fee per project | base salary plus % of profit | unstable: from losses to windfalls |
| Risk | reputational | financial, carried by the team | financial, carried entirely alone |
| Where they work | agency, freelance, in-house | traffic team, vertical niches | alone, often alongside a day job |
A targetologist sells a service: they get paid a fixed fee whether or not the client made money. That is why a search for “targetologist jobs” mostly returns agency roles with client KPIs, a different profession with a different income ceiling. A media buyer works with unit economics: every decision shows up in the profit numbers, and the bonus depends on exactly those numbers. Moving from targeting into buying is above all a change of mindset, from “bring cheap leads” to “bring users who will return more than they cost”. Technically a targetologist switches into buying quickly, the ad account is the same, but the first months go into relearning reflexes: in targeting success is measured by the client report, in buying by a profit figure that cannot be talked around.
A solo affiliate does the same media buying, but on their own money and without a team: farming their own accounts, making their own creatives, covering their own losing tests. The potential ceiling is higher, yet most solo starts end with a burned budget before the first working bundle. A media buyer in a team risks only time: budgets, infrastructure and losing tests are covered by the company, and the income ceiling is set by the scale of the bundle rather than by the number of clients. That is why a team is the faster way to build the craft: in six months inside a team a buyer sees more launches than a solo affiliate does in two years on their own budget.
What does a typical media buyer’s week look like?
A buyer’s week is the cycle “hypothesis, test, decision, scale” spread across the days:
- Monday. Reviewing weekend cohorts: which bundles held ROI, where the approval rate dropped. Planning the week’s tests, briefing designers on 5–10 new creatives.
- Tuesday to Wednesday. Launching test campaigns on fresh accounts from the farming department, passing moderation, reading the first signals on CTR and registration cost. In parallel, going through spy services to see what competitors are running.
- Thursday. Decision day: losing tests get switched off, bundles with positive signals get a budget increase. Sync with the analyst on last week’s cohort LTV.
- Friday. Scaling the working bundles, duplicating campaigns, the weekly spend and profit report, budget plans for the weekend.
- Saturday to Sunday. Campaigns keep running, and in dating the weekend is often the most active window. The buyer checks the tracker 2–3 times for 15–20 minutes, watching for spend anomalies and bans, but does not work a full day.
How does a buyer’s job differ in dating, gambling and e-commerce?
The profession is one, but the vertical shapes the daily work more than the grade does:
| Dating | Gambling | E-commerce | |
|---|---|---|---|
| Key metrics | registrations to paying users, cohort LTV | FTD (first deposits), redeposits | ROAS, average order value, margin |
| Feedback loop | 24–72 hours to the first payments | days to weeks until deposits pay back | instant: purchase right after the click |
| Seasonality | steady demand all year, peaks on holidays and in winter | peaks around major sporting events | Q4, sales periods, a dead January |
| Main risks | creative moderation, account bans | regulation, payment processing, harsh bans | auction competition, thin margins |
Dating is a convenient vertical to start in: demand for dating does not depend on the season, the feedback loop is short (a buyer sees traffic quality within 1–3 days), and about half of our spend goes through Meta, so skills concentrate in one source instead of being spread across ten. Gambling pays more per conversion, but the infrastructure risks there are higher too. E-commerce gives instant feedback, yet buyers there more often work in an agency model against someone else’s KPI rather than on their own profit.
The media buyer career ladder
The ladder in a traffic team is short and transparent, and moves are defined not by tenure but by what a person is accountable for:
| Level | Accountable for | Criteria for the next step |
|---|---|---|
| Farmer / assistant | infrastructure, supervised routine in the ad accounts | steady quality of work, understanding of bundle metrics |
| Junior buyer | own tests on a limited budget | first solo bundles in the black |
| Middle buyer | a pool of bundles and daily budget decisions | systematic profit several months in a row |
| Senior buyer | scaling, complex sources, mentoring | consistent results plus a junior grown from scratch |
| Team Lead | the results of a group of buyers, budget allocation | the team hits plan without hands-on control |
| Head of Media Buying | buying strategy, verticals, hiring | — |
The key difference between grades is not spend volume but depth of accountability. A junior is accountable for accuracy of execution, a middle for decisions, a senior for predictability of results, a Team Lead for the results of other people. Moving into a Team Lead role is a separate fork: it is a change of profession, because working with the ad account gives way to working with people, and a strong buyer does not always become a strong lead.
How much does a media buyer earn
The fixed part in Ukraine in 2026, based on open ROIcamp vacancies; the junior band is a market estimate, since we grow juniors internally and have no vacancy for that grade:
| Level | Base salary, $/mo |
|---|---|
| Junior | 600–1,200 (market estimate) |
| Middle | 1,000–2,500 |
| Senior | 2,000–3,000 |
| Team Lead / Head | 2,500–6,000 |
A market benchmark for comparison: according to the DOU salary survey, summer 2026, the overall median for a marketer in Ukraine is $2,000 (352 respondents, data collected in June 2026).
The income model in the niche is standard: base salary plus a share of profit (usually 10–20%), and it is the share that makes up the bulk of an experienced buyer’s earnings. An example: in a month a buyer generated $3,500 of net profit, and at a 15% share that is a $525 bonus on top of the base. In a month without a working bundle only the base remains, which is why the bands should be read as “base plus potential” rather than as a guaranteed sum.
A full breakdown across all roles, with methodology and examples, is in the article “Media buyer salaries in traffic arbitrage”.
How do you become a media buyer with no experience?
There is one route that works: join a team in an adjacent role, account farmer or buyer assistant, and grow from the inside. Going from zero to an independent buyer in a team with a documented track takes 12–18 months: 4–8 months as a farmer, 4–6 months as an assistant, then your own campaigns. Reaching a confident middle takes another 12–18 months. Cases count for more than tenure here: profitable bundles with numbers in your first months are worth more than two years on a CV with no result.
A step-by-step entry plan, covering the CV, the test task and the first interviews, is in the article “Media buyer with no experience”.
What should you ask an employer before the offer?
Three questions you should not sign an offer without answers to:
- How exactly is profit calculated, and can I see my own numbers? The formula should be in the contract and the statistics open in the tracker and BI.
- Who pays for operating costs? Accounts, proxies, services and budgets are always on the team. “Put your own money in first” means shifting business risk onto a salaried specialist.
- What is the profit share schedule, and is it progressive? 10–20% is the market norm; a flat low percentage with no progression caps your income as profit grows.
Before signing, go through the same checks on the rest of the offer: the contract, the payout schedule, who owns the accounts and how the team behaves in a losing month.
What to read next: for how traffic arbitrage works in general, see the guide “Traffic arbitrage: how to start”; and if you are ready to try yourself in a team right now, look through the open ROIcamp vacancies.
ROIcamp has open vacancies from account farmer to Head of Media Buying, with an open bonus formula, operating costs on the company and fully remote work. See the vacancies: Media Buyer (Meta) for experienced buyers and Account Farmer for starting from scratch.
Sources
- Dating Ads | Transparency Center — Meta
- About Cover Your Tracks — Electronic Frontier Foundation
- Зарплати фахівців з Design, Leadership, HR, Recruitment, Marketing, Sales, Support та інших — літо 2026 — DOU