How to build a Facebook Media Buying Team in 2026: less ROI, more Profit

At ConversionConf 2026, we discussed how and why to build a media buying operation today. In this article, we share the key takeaways from the talk.

Bonus: a look at what the market thinks about media buying

Just a few years ago, many teams approached media buying with a simple strategy: find a winning setup, maximize its profitability as quickly as possible, and move on to the next one. Today, the market is different: advertisers are paying closer attention to traffic quality, Facebook is constantly changing its algorithms, and truly strong offers have become harder to find.

That’s why a team’s success today is measured not by how many setups it can test in a month, but by how long it can work with a single offer while scaling volumes without sacrificing quality.

Why build your own Media Buying Operation?

When we launched our media buying operation at Alfaleads, we had three main reasons for doing so.

**Business diversification. **An in-house media buying operation is an independent source of revenue that reduces reliance on other business areas.

Control over results. It allows you to improve traffic quality, increase volumes, and have greater control over the pace of scaling.

And finally, Facebook remains one of the fastest ways to generate revenue. When processes are organized properly, money moves through this channel significantly faster than through many other traffic sources.

Building a media buying operation is not easy. Many advertisers admit that Facebook delivers lower returns than it did a few years ago, while some media buying teams are shutting down altogether.

The problem isn’t that the traffic has stopped working. It’s that simply finding an offer and starting to run traffic is no longer enough. The real challenge is building a model that makes advertisers willing to buy your traffic for months, rather than just a few weeks.

Today, based on our experience, we see several key mistakes companies make when launching a media buying operation:

The biggest mistake beginners make is scaling too fast

The most common mistake when launching a media buying operation is trying to build a large team and ramp up volumes as quickly as possible. In practice, this strategy rarely leads to success.

It’s much more important to build a sustainable system first and only then focus on scaling. For example, we always follow one principle: focus on quality, not quantity. This applies to everything — team size, offer selection, bids, and traffic volumes.

If the budget allows, you can hire several specialists for the same task right away. If not, one strong media buyer is more than enough to start with. There’s no universal rule for how many weeks or months you should wait before scaling your team. The only real benchmark is your data.

If a setup delivers consistent results, you can start scaling as early as a week later. If it doesn’t, no timeline will make a difference.

There’s no one-size-fits-all GEO

Another common mistake is trying to find the “right” Tier. Some believe that beginners should always start with Tier 3 because the money turns over faster there. In practice, that’s far from always the case.

What matters much more today is where a particular media buyer’s expertise lies.

If a specialist has extensive experience working with Tier 1 and understands the specifics of those markets, there’s no point in forcing them to switch to Tier 3. And vice versa. Facebook changes too quickly for there to be any universal formula. That’s why every media buyer should work with the GEOs they actually know and understand.

A good launch starts with the right person, not the budget

When hiring our first strong specialist, we look at more than just their experience.

A senior media buyer should have their own operational setup: trusted accounts, apps, and other technical tools that allow them to launch campaigns with a minimum number of bans and reasonable costs.

Just as important is having a proven setup for running traffic — a tested creative, GEO, brand, or offer that the specialist already knows how to work with. Essentially, the team should be investing not just in the person’s time, but in their expertise and established workflows as well.

Without a stable technical setup, your launch is doomed to fail

Even a great media buyer won’t be able to deliver results if they constantly run into technical issues.

That’s why you need to build a stable technical infrastructure before launching your first campaigns.

The main goal for the first month is to establish at least one working setup for each media buyer.

The ideal scenario looks like this:

• the setup consistently passes moderation;
• launch costs remain predictable;
• the advertiser is happy with the traffic quality;
• additional caps become available;
• you can move to daily caps or even operate without volume restrictions.

These are the kinds of setups that become the foundation for further scaling.

Why choosing the right offers matters

Today, our business model is roughly 70% CPA-based and 30% based on spend deals.

We initially test every new offer on a CPA basis. If we see strong conversion rates and good traffic quality, we gradually move to a spend model.

This approach significantly reduces the risks at the start. At the same time, the quality of the affiliate network itself plays a huge role — in our case, that’s Alfaleads Network. A strong partner is often what allows us to quickly identify offers that can deliver sustainable results over the long term.

How much does It cost to build your own media buying operation?

Advertising spend alone should amount to at least $20,000 in the first month. Typically, spending grows gradually: starting at around $1,000, then increasing to $5,000, and scaling further as stable setups begin to emerge.

You also need to account for operating expenses, which typically make up 10–20% of the budget. Payroll adds another 15%, including salaries and bonuses.

That’s why attempts to build a full-fledged media buying operation with minimal investment rarely end in success.

The mistakes that can be especially costly

Over the years, we’ve identified several common mistakes that new teams tend to make.

The first is moving specialists from “white-hat” marketing into the grey-hat media buying space. Despite the apparent similarities in tools, the processes are completely different, and a successful performance marketer does not necessarily make a successful affiliate marketer.

The second is hiring a manager without strong soft skills. While a media buyer’s main job is to buy traffic effectively, a team lead is constantly interacting with the team, advertisers, and partners. So an excellent media buyer doesn’t necessarily make a good manager without the right leadership skills.

The third is relying solely on tracker metrics. This is particularly risky in Tier 1, where the final reconciliation can take several weeks. Sometimes a tracker shows impressive profits, but once the traffic quality is reviewed, the actual payouts turn out to be significantly lower.

The fourth is building a team around a crash approach. Yes, it can help reduce costs, but the quality of this traffic rarely meets advertisers’ expectations. As a rule, such teams constantly jump from one offer to another instead of building long-term relationships with partners. We much prefer a slot-based approach, which allows us to work with the same advertiser consistently over the long term.

Why high ROI is no longer the main goal

One of the most dangerous misconceptions in modern media buying is the obsession with achieving an ROI of over 100% at any cost.

In practice, such a figure does not necessarily mean you’re running a successful business. If a high ROI prevents you from scaling or leads to a decline in traffic quality, it starts working against the team.

For us, a good benchmark remains an ROI of 50–70% by the end of the month.

This level allows us to maintain consistent traffic quality while scaling volumes at the same time. Put simply, it’s better to make more money at a 60% ROI than to limit your volumes just to maintain an impressive 120% ROI.

Where Facebook Media Buying Is headed

The biggest trend in recent years has been the shift from quantity to quality.

Today, the teams that win are those that can build long-term relationships with advertisers, maintain a consistent volume of high-quality traffic, and avoid sacrificing their reputation for short-term profits. Facebook’s algorithm changes following the launch of the “Andromeda” system in 2024 had a major impact on the market. The industry was highly volatile at first, but most teams have now adapted to the platform’s new way of operating.

At the same time, there is no universal list of GEOs that work. Facebook is significantly stricter with some countries — Italy and Canada, for example, are particularly challenging for us right now — but the situation is constantly changing. That’s why, instead of searching for the perfect market, it’s much more effective to diversify across different GEOs and test several markets simultaneously.

Another important principle is not being afraid to sacrifice some margin for more stable conversion rates. In the long run, consistent conversions generate more profit than occasional high payouts.

In conclusion

Media buying has changed significantly over the past few years. If teams that could find a new winning setup faster than everyone else used to have the advantage, today it’s the teams that can build long-term relationships with advertisers and work with the same offer for months that come out on top.

So, the main lessons from our experience are quite simple:

• don’t keep jumping from one offer to another in search of the perfect one — look for long-term deals;
• don’t chase unrealistic ROI if it prevents you from scaling;
• don’t focus on a single GEO or Tier — diversification remains essential for stability;
• don’t be afraid to sacrifice some margin for consistent conversion rates.

Ultimately, almost every decision in modern media buying should answer one question: Will this help us work with this offer for longer? That’s the approach that delivers the most profit over the long term.

What else was said about Media Buying at ConversionConf 2026

**Nikolai Nice

Founder & CEO, Sinners CPA**

**A media buyer should focus solely on traffic acquisition. **Analytics, quality control, and other operational tasks are better handled by separate roles.

Choose partners based on stability, not personal connections. A new brand or a relationship with a founder does not guarantee reliability. Reputation, transparency, infrastructure, and clear retention metrics are much more important.

Transparent metrics foster healthy competition. When team members can see each other’s results and understand how the incentive system works, overall performance improves.

**Volume should never come at the expense of quality. **Quality control should be a separate function that evaluates profitability, creatives, and traffic quality every day — and stops ineffective approaches when necessary.

**Decisions should be driven by unit economics. **When traffic quality changes, the goal shouldn’t be to argue with the advertiser. Instead, adjust the rate to maintain healthy economics for both sides and avoid payout cuts.

**Dmitri Dratzki

CEO, Saidi Influence Dept**

Team growth should pay for itself. The key metric for scaling is not the number of employees, but each person’s contribution to the company’s bottom line.

The performance team is only one part of the structure. In influencer marketing and media buying, operational specialists, content, SMM, video editing, creative production, and other functions play an important role in supporting media buyers.

Scaling is impossible without synergy between departments. HR, Business Development, operations, and performance teams need to understand the specifics of the traffic source and work as a single system.

A strong culture is more important than internal competition. Team performance is driven by transparent processes, fair compensation, regular feedback, and one-on-one work with employees — not by comparing salaries within the team.

AI empowers specialists rather than replacing them. Artificial intelligence helps automate routine tasks, speed up research, and streamline creative production, but it cannot fully replace a team.