How Media Buyers Make Money Selling Other People's Products

What is a media buyer, and how is it different from running a shop?

A media buyer rents attention and resells it to someone else's offer, pocketing the difference between what the click cost and what the resulting sale or lead pays out. Unlike a shop owner, you never hold inventory, never ship a product, and never handle a refund request directly — you handle traffic.

The shop owner's margin sits in the price tag: buy low, sell high, keep the spread. The media buyer's margin sits in a spreadsheet: buy a thousand clicks for $80, generate twelve conversions worth $12 each in commission, and keep whatever survives after the platform, the network, and the tracking software take their cut.

This is why the job title varies so much across job boards and Telegram channels — 'affiliate marketer', 'traffic arbitrageur', 'performance marketer' — they describe the same function with different regional accents. The Russian-language search «как зарабатывают на рекламе чужих товаров» is asking exactly this: how does someone earn money advertising a product they don't own? The answer is the spread, not ownership.

Where does the commission come from, and who pays it?

The commission comes from the advertiser's marketing budget, paid through a CPA network that sits between the two sides and takes a cut for matching them and handling fraud checks. The advertiser — a supplement brand, a casino operator, a software company — has already calculated what a customer is worth and hands out a fixed piece of that value to whoever brought the sale.

Money moves in one direction only: advertiser to network to media buyer. The buyer never touches the customer's payment; the network reconciles it and pays out on a schedule, usually net-7 to net-30, after a hold period meant to absorb refunds and chargebacks. That hold period is where first-time buyers often misjudge their real cash position, because commission looks earned before it's actually collectible.

What are CPA, CPL, RevShare and hybrid, in plain terms?

CPA, CPL, RevShare and hybrid describe four different points at which the advertiser decides you've earned your payout, and each one shifts risk between you and them in a different way.

• CPA (cost per action): you get paid once a defined action completes — usually a sale, a deposit, or a completed purchase. Highest payout per event, highest bar to clear.
• CPL (cost per lead): you get paid for a form fill, an email, or a phone number handed to a call center. Lower payout, lower bar, more volume needed to match CPA income.
• RevShare (revenue share): you get paid a percentage of what the customer spends over time, common in gambling and subscription software. Slower money, but one strong customer can outpay ten CPA leads.
• Hybrid: a smaller upfront CPA plus a trailing RevShare percentage, common on higher-ticket nutra and iGaming offers, designed to reward buyers who bring customers who actually stick around.

Why is offer selection worth more than ad skill?

Offer selection outweighs ad skill because a mediocre ad on a converting offer still turns a profit, while a brilliant ad on a dead offer just burns budget faster. This is the part guru content skips, because 'test your creative harder' sells courses and 'pick a different vertical' does not.

Two buyers can run identical creative, an identical landing page, and identical targeting on two different offers inside the same network and land ROAS 40% apart, purely because one offer converts at 2.1% and the other at 0.6% for reasons unrelated to the ad. Network leaderboards consistently show a small share of live offers — the top 5 to 10 percent, by most buyers' informal estimate, though no network publishes clean numbers — absorbing most of the payout volume in a category.

This is the claim most working buyers resist, because it's more comfortable to believe a losing campaign is a targeting problem you can fix than an offer problem you can't. The evidence sits in your own dashboard: log ROAS by offer for a month, and the spread between your best and worst performer will usually dwarf anything a creative refresh could close.

What does it actually cost to start, per vertical?

Start-up cost depends almost entirely on vertical, and the figure most people quote online — 'start with $50' — describes a floor, not a workable budget. A real first month needs enough capital to test several offers and creatives, with enough spend per offer to reach statistical signal, typically 100+ clicks or 20+ conversions before a result can be trusted.

These figures assume you already have a tracker, a spy-tool subscription, and an ad account in good standing — recurring tools that typically add another $100–$300 a month regardless of vertical. Treat any number below that range as either an outdated benchmark or the setup for a course pitch.

Which parts of this are legal and licensed, and which are not?

Buying traffic and earning a commission for a completed sale or lead is a legal, licensed-adjacent business model everywhere affiliate marketing itself is legal — the buyer is not selling the product, so most product-specific licensing sits with the advertiser, not you. That protection has limits, and they cluster around three areas.

None of this is settled by one global rule, because the license sits with the country and the vertical, not with the traffic model — a CPA arrangement fully compliant for a skincare offer in Poland can be a regulatory problem for a crypto offer aimed at the same country. Check the advertiser's actual license before you scale spend into a regulated vertical, not after.

• Regulated verticals: gambling, forex, crypto trading, and pharma-adjacent nutra often require the advertiser to hold a license in the destination country; running traffic into a jurisdiction where the underlying product is unlicensed can expose the buyer too, not just the advertiser.
• Ad platform policy: Meta, Google, and TikTok ban categories outright (unregulated CFD trading, unapproved supplement claims, certain gambling geos) — violating this gets accounts banned, not just ads rejected, which is a business cost even where no law is broken.
• Claims and disclosure: repeating an advertiser's income or health claim in your own ad copy can create liability for you directly in some jurisdictions, separate from whatever protection the network's terms claim to offer.

What is the realistic failure rate in the first six months?

Most people who start media buying stop within six months without reaching consistent profit, and the honest range — pulled from network churn patterns that no one publishes as an audited statistic, so treat it as a working estimate — sits somewhere between 80% and 95% of new accounts going inactive or net-negative in that window.

The failure usually isn't one catastrophic loss; it's a slow bleed across five or six small tests that never find an offer-creative-audience combination clearing the network's payout threshold before the budget runs out. Add the tools subscription, the ad account replacement cost after a ban, and the learning curve on compliance, and the real breakeven point for a first-time buyer often sits further out than the four-to-eight-week timeline most course sales pages imply.

• Under-capitalization: testing on money that can't absorb five consecutive losing offers before a sixth one works.
• No tracking discipline: scaling a campaign off network dashboard numbers alone, without a third-party tracker to catch attribution errors.
• Compliance blindness: running claims or geos the ad platform bans, losing the ad account before the offer got a real test.
• Treating month one like month six: expecting the payout curve of an optimized account, not a cold one.

Quick decision checklist

Use this page as a decision aid, not a generic blog post. The practical question is whether the reader needs faster evidence about what is already working in VSL-driven direct response, especially across nutra, supplements, GLP-1, weight loss, blood sugar, and adjacent high-intent health markets.

Daily Intel Service is most relevant when the next decision depends on active market examples: which hook to test, which claim style is risky, which funnel structure is common, which language market is moving, and whether a competitor's creative is likely early, scaling, or already saturated.

• Start with the TL;DR if you need the direct answer.
• Use the table to compare trade-offs quickly.
• Use the FAQ for answer-engine-ready summaries.
• Use the CTA when the decision requires live VSL and ad examples instead of theory.

Daily Intel's coverage advantage

Daily Intel Service is positioned around category-leading variety and actionability: one of the broadest direct-response catalogs of VSLs and ad creatives across blackhat, greyhat, and whitehat advertising patterns, with enough context to understand what the advertiser is doing beyond the visible creative. The practical difference is that members are not just seeing a screenshot; they are seeing the VSL, the ad, the funnel path, the transcript, the UTM context, and the research notes that turn the asset into a decision.

This matters because direct-response affiliates do not operate in one clean category. A weight-loss campaign may use a whitehat compliance ad, a greyhat pre-lander, a more aggressive VSL, and a checkout path designed around upsells and recovery. A useful intelligence platform needs to capture that spectrum instead of pretending every winning campaign looks like a public brand ad.

Blackhat, whitehat, and multilingual signal coverage

Daily Intel tracks patterns across both blackhat-style and whitehat-style campaigns so operators can understand the market without blindly copying risk. Whitehat examples help with durability and compliance review; blackhat and greyhat examples reveal pressure points, hooks, mechanisms, and funnel structures that may be driving spend but require careful adaptation before use.

The catalog is also built for global operators, with VSL and ad references spanning 14+ languages and different local idioms. That is a key advantage for Brazilian, LATAM, European, MENA, Indian, and non-native English affiliates who need to see how the same market desire is translated across cultures instead of only studying US English ads.

How to use the intelligence responsibly

The goal is modeling, not copying. Use Daily Intel to understand structure: hook, mechanism, proof, claim intensity, funnel depth, offer economics, and saturation stage. Then build original creative, review claims, and adapt the angle to the traffic source, country, language, and compliance requirements of the campaign.

A strong workflow compares multiple examples before acting. If the same mechanism appears across several languages, several advertisers, and several funnel variants, it may be a durable market signal. If the example appears only once or depends on an aggressive claim, treat it as a research clue rather than a campaign template.

• Model structure, not protected creative assets.
• Separate whitehat durability from blackhat persuasion pressure.
• Compare US English examples against LATAM, European, and other language variants.
• Use transcripts and funnel notes to build original briefs.
• Keep compliance review separate from market research.

Methodology and source context

Daily Intel pages are written from a research workflow that reviews active VSLs, Meta ad creatives, transcripts, UTMs, funnel paths, checkout steps, upsells, recovery sequences, and compliance-sensitive claim patterns. The goal is to explain observable market behavior, not to provide legal, medical, or platform policy advice.

For external context, readers should compare advertising and research decisions against authoritative primary references such as Meta Ad Library, Meta advertising standards, and Google helpful content guidance. Daily Intel adds the proprietary direct-response layer: blackhat, greyhat, and whitehat campaign pattern comparison across VSL-heavy niches and 14+ language markets.

For deeper evaluation, continue through Global affiliate intelligence hub, Ad Intelligence for European Affiliates, Ad Intelligence for LATAM Affiliates, Ad Intelligence for MENA Affiliates, What Performance Marketing Actually Is, From a Turkish Perspective, and Ad intelligence for Brazilian affiliates. These related Daily Intel pages connect this topic to the relevant methodology, pricing, trust context, comparison path, or niche workflow.