Media Buying at $60K a Month: Volume is There, Growth is Not

In this article AffRoom team explains how AIO platform for media buying teams helps tracking, testing, analytics, and traffic management into one place from campaign launch to analysis of every funnel stage.

Stable traffic is not the same as funnel control 

There comes a point for many media buying teams when momentum stalls. The budget is there, the experience is there, key metrics stay within acceptable range, some campaigns occasionally turn a profit, but overall volume just doesn’t grow.

The default response in this situation is to take what’s working and scale spend. Sometimes that produces a short-term bump, but more often a combination that held steady at $15K starts falling apart the moment you double the volume. New hypotheses get launched, the cycle repeats, and every next campaign feels less like a managed process and more like a bet.

Budget was draining even when ROI looked fine 

When you dig into cases like this, you almost always find the same thing: not a lack of experience, not bad offers, but blind spots. There’s data, campaigns are running, but no one can clearly answer which exact combination drove a conversion, what’s already been tested and shouldn’t be touched again, or where in the funnel traffic is being lost right now. These questions go unanswered not because the team doesn’t want to figure it out, but because the infrastructure for proper tracking simply isn’t in place.

A concrete example: an iGaming team running around $60K per month in ad spend. On the surface everything looked solid: ROI was holding, no major dips, traffic was stable. But every attempt to scale campaigns ended the same way: performance started declining, and the team explained it away with seasonality and algorithm changes.

When they looked deeper, at the combination level of creative → pre-lander → landing page, it turned out that around 30–35% of the budget was going to combinations that generated clicks but almost no deposits, while continuing to receive traffic on equal footing with the combinations that were actually working. Money was draining with no alerts, no signal.

What They Changed 

The team moved to AIO and rebuilt their entire workflow from scratch. AIO is a platform for media buying teams that brings tracking, testing, analytics, and traffic management into one place: instead of stitching together a dozen separate services, everything runs within a single infrastructure, from campaign launch to analysis of every funnel stage.

The first step was building out the funnel through a visual flow builder, which made each stage visible on its own: where traffic enters, where it moves next, where it drops off. The second was launching multivariate testing – and this is where the difference became significant.

Previously, hypotheses were tested one at a time: swap the creative, wait, review. Then swap the landing page, wait, review. Slow and essentially blind. AIO started running multiple combinations simultaneously, showing what drives profit not in isolation but as a complete bundle: this creative + this page + this transition. Traffic automatically shifted toward the combinations with higher conversion – no manual intervention required.

Results after 10–14 days

• ROI increased by approximately +27%
• CR climbed from 1.8% to 2.6%
• Time to launch and validate hypotheses dropped from 1–2 days to a matter of hours

But more important than the numbers was the shift in how the team operated. For the first time, they had full visibility into the funnel, not just the final stat. Transparency appeared at every stage: how many users reach the pre-lander, how many continue to the landing page, exactly where conversion drops. Underperforming scenarios stopped consuming budget, stronger ones took over the majority of traffic, and the system started optimising itself. 

At scale, it’s not the buyer who wins, it’s the infrastructure 

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