When Audiomob launched, the vision was simple: make advertising work better for everyone.
For years, mobile game developers have faced a difficult trade-off. Video ads generate revenue, but they also interrupt gameplay; breaking immersion and, ultimately, risking player retention. We believed there had to be a better way. Rewarded audio advertising was our answer.
By allowing players to continue gaming while listening to an audio ad, developers can monetise without disrupting the experience. It’s a format that’s better for players, better for developers, and increasingly, better for advertisers too.
But building a completely new advertising category came with its own challenges.
Building for scale from day one
One of the biggest lessons we’ve learned as a company is that scalability can’t be an afterthought. As Co-founder and CTO, Wilfrid Obeng, puts it:
“The power and importance of ensuring that your product is scalable from the beginning.”
Supporting developers around the world means processing millions (sometimes billions) of ad requests every month. Every request needs to be matched, delivered and measured in milliseconds. To do that, we needed infrastructure that could grow as quickly as our business.
Solving one of audio advertising’s biggest challenges
When we first introduced rewarded audio, we encountered an unexpected problem. Many advertisers simply didn’t have audio creative. Unlike display or video campaigns, audio wasn’t always part of a brand’s marketing toolkit. That created friction for adoption and slowed campaign launches.
Today, AI has completely changed that.
Using Vertex AI on Google Cloud, we’ve built tools that can generate high-quality audio ads in seconds. Advertisers simply enter their campaign copy, choose from multiple voices and languages, and instantly create audio creative ready for campaign delivery.
Even better, AI allows brands to generate thousands of creative variations, test different messaging and optimize campaigns based on real-time performance—all without lengthy production cycles.
It’s helping make audio advertising significantly more accessible than ever before.
Scaling globally with Google Cloud
As our platform has grown, so has the complexity behind the scenes. Our machine learning models now run on Vertex AI, giving us the flexibility to deploy new models faster while expanding into more languages.
Meanwhile, Google Cloud services like BigQuery, Bigtable and Google Kubernetes Engine (GKE) provide the foundation that keeps everything running smoothly.
BigQuery allows us to analyse huge volumes of advertising data with predictable performance. Bigtable provides fast, reliable storage for our global ad requests. And GKE automatically scales our infrastructure as demand changes throughout the day.
For a lean engineering team, that’s invaluable. Instead of spending time managing infrastructure, our engineers can focus on building better products and improving the advertising experience for developers and brands alike.
Better experiences create better results
Rewarded audio isn’t just a better experience, it delivers measurable business outcomes.
Developers using Audiomob have seen 5-20% increases in revenue, giving them another way to monetise without sacrificing player engagement. Advertisers are also seeing impressive performance, including click-through rates of up to 7% and listen-through rates exceeding 90% on FMCG campaigns.
Those results reinforce something we’ve believed from the beginning: when advertising respects the user experience, people engage with it more willingly.
Looking ahead
AI is helping us remove barriers that once slowed the adoption of audio advertising—from creative production to campaign optimisation.
Combined with cloud infrastructure built for global scale, it’s enabling Audiomob to continue redefining what’s possible in mobile game monetisation.
We’re excited about what’s next. Because the future of in-game advertising isn’t about interrupting players. It’s about creating experiences they barely have to stop playing to enjoy.
