Interstitial Ad Monetization is Broken. Airflux Can Fix It.

Game marketers know that when the hosts of Two & a Half Gamers—Matej, Felix, and Jakub—are impressed, it’s worth paying attention. On a recent podcast episode, the three hosts shared their thoughts on Airflux, and the verdict was clear.

“It sounds like the best idea since sliced bread.” — Matej Lančarić

“This should not only increase ad revenue, but also IAP revenue by reducing churn.” — Jakub Remiar

“[Airflux] is only optimizing delivery, which is clever. Touch bid floors and you hurt margins.” — Felix Braberg

Airflux isn’t what game marketers want, it’s what game marketers need. Keep reading for insights on how it works, what it delivers, and why it might be the smartest ad monetization move you make this year.

🎥 Watch the full conversation with Roi Nam and the hosts of Two & a Half Gamers.

If you’re running a casual game, chances are your interstitial ad setup still relies on fixed timers, the same ad flow for everyone, and maybe a couple of Firebase A/B tests gathering dust in a spreadsheet.

That’s a pattern Roi Nam, CEO of Airbridge and Airflux, saw repeatedly across teams of every size and scale.

"Interstitial timing was nearly identical for all users, regardless of country or behavior."

The aha moment came during a test run. When the Airflux team delayed the first interstitial for players in Europe, they saw higher LTV and lower churn. That small change led to a big realization—ad delivery should be personalized for every player, in real time.

"What if we could automate this kind of optimization, not just by region, but at the individual level?"

Meet Airflux: AI Ad Monetization for Mobile Games

Airflux is designed for casual and hybrid games that rely heavily on ad revenue. Powered by machine learning, Airflux optimizes the timing and frequency of interstitials and rewarded videos based on each player’s predicted behavior—including location, device, in-game actions, eCPM, and churn risk.

"It’s not about blasting more ads. It’s about showing the right ad to the right player at the right time automatically."

Unlike static setups, Airflux dynamically adjusts cooldown times between ads, tailoring the interval to each player’s behavior and tolerance. This helps prevent early-stage overload while driving stronger engagement over time.

"Many games still use fixed cooldowns. We personalize that window per user, so the ad flow feels natural."

Airflux isn’t a mediation tool, an eCPM booster, or a waterfall optimizer. It’s an entirely new way to monetize interstitials by personalizing ad delivery for each player and adjusting in real time as player behaviors evolve.

"Airflux doesn’t touch bid floors or mess with waterfalls. It grows the pie by increasing well-timed impressions."

Real-World Success: 20%+ LTV Growth in Weeks

So does it actually work? The short answer is yes—and fast.

A casual simulation game with 5 million MAUs saw over 20% LTV growth in just four weeks. A zombie-themed FPS with over 10 million downloads achieved a 50% uplift. Another title saw a 14% lift within two to three weeks, which climbed to 54% by month three, all driven by Airflux’s continuous learning loop.

"One of our partners saw 28% uplift after five weeks. By month three, that number hit 54%. They were shocked—pleasantly."

But it’s not just about increasing impressions. In hybrid games, smarter ad pacing actually helps protect IAP revenue by avoiding early-stage ad fatigue. Airflux enables smarter, player-aware monetization across the funnel.

"If you hit players with five interstitials before they even think about buying your remove-ads product, they’ll likely churn."

How It Works: A Plug-and-Play Solution 

Airflux may be powered by advanced AI, but getting started is refreshingly simple. It’s a plug-and-play solution that fits right into your existing setup without heavy development work.

1. Install the SDK

Airflux runs on the proven Airbridge SDK. Once integrated, it begins collecting essential in-game events such as ad impressions, stage clears, and level completions.

2. Simple Ad Trigger Logic 

This is where real-time decision-making kicks in. Once event data is flowing, your developers wrap each interstitial or rewarded video trigger with a lightweight decision rule using an “if clause.”

"If Airflux’s API returns true, show the ad. If it returns false, skip it."

The API evaluates in real time whether it’s the right moment to show an ad—based on each player’s unique context, including behavior, session state, and churn risk.

3. Feed in User Data

Once connected, Airflux continuously analyzes behavior, geography, eCPM, and campaign source to optimize ad delivery in real time as player patterns evolve.

Can It Work with UA Campaign Data?

Naturally, the next question on every game marketer’s mind is whether Airflux can be connected to UA campaign data.

It’s a smart evolution—and one the Airflux team is already building toward. Soon, marketers will be able to tailor ad delivery not just based on what players do, but how they got to the game in the first place.

"Gamers coming from ROAS-optimized campaigns tend to tolerate more ads. Those from IAP-focused campaigns don’t."

By connecting UA data with real-time ad decisioning, Airflux will take personalization even further, helping teams align monetization strategy with acquisition goals from day one. Stay tuned.

Smarter Than Firebase: A/B Testing That Scales

If you’ve ever run A/B tests with Firebase, you know the pain. Define a hypothesis, split users into groups, wait weeks for results, and hope you reach statistical significance. It’s time-consuming, rigid, and hard to scale—especially when optimizing ad delivery across multiple geos, segments, and behaviors.

Airflux flips the script on traditional testing. Airflux automates the entire testing loop by predicting, segmenting, testing, learning, and optimizing continuously, with zero manual setup required.

"Airflux estimates purchase probability and ad tolerance per user, then runs automated A/B tests in the background—no hypotheses needed." 

Instead of testing a single idea against the game’s entire user base, Airflux runs thousands of micro-experiments across player segments defined by region, platform, device, session depth, and more.

"Firebase runs one A/B test globally. Airflux tests thousands of variations per segment automatically." 

And the best part? It iterates weekly. So ad strategies are always evolving with the players, not lagging behind them. Airflux isn’t just another optimization tool—it’s a learning engine that gets smarter every cycle.

Who Should Use Airflux?

Airflux is a strong fit for casual and mid-core games with loop-based gameplay and meaningful IAA revenue. It performs best with:

• At least $30,000 in blended monthly revenue

• A 50:50 IAA to IAP split—or heavier on ads

That said, even IAP-focused games can benefit—especially if early-stage payers are churning due to overly aggressive ad exposure.

“If someone has low purchase probability, we start showing ads—just enough to avoid churn.”

What’s the Catch?

There isn’t one. Airflux doesn’t promise a fixed percentage uplift—but it does guarantee statistically significant results.

“We don’t guarantee a percentage uplift, but we do guarantee statistically significant results. That’s what earns trust.”

Instead of chasing vanity metrics, Airflux gives teams clear, measurable signals on what’s working—driven by continuous experimentation and reinforcement learning.

Results come fast. Most customers see impact within two to three weeks.

“Total LTV uplift of 10 to 50% in under a month—that’s our punchline.”

Thanks to weekly learning cycles, Airflux continues to evolve—optimizing ad timing and frequency automatically, without manual input.

“This isn’t a one-off test. Airflux learns, updates, and improves automatically. It gets smarter every cycle.”

While other tools stall after a single experiment, Airflux keeps getting better the longer it runs—driving growth that compounds over time.

That’s the true beauty of Airflux—monetization that improves on its own. Just set it up and let it run.