Quvy by AppOnBoard Simulates Audiences for UA Testing
▼ Summary
– AppOnBoard launched Quvy, an AI tool that simulates audiences to test user acquisition (UA) ads, reducing costs and speeding up audience growth for game developers.
– Traditional UA testing is costly and slow, with developers spending up to $400,000 and waiting weeks for results, while Quvy cuts costs to $4,000 and delivers insights in minutes.
– Quvy levels the playing field for indie developers by replacing expensive A/B testing with AI-driven simulations, allowing them to compete with larger studios.
– The tool accelerates ad testing cycles, reduces costs, and improves campaign success rates by predicting top-performing creatives before real-world deployment.
– Quvy operates by testing ads on synthetic audiences with real-like preferences, enabling rapid and affordable validation of thousands of ad variations.
The gaming industry faces mounting challenges with user acquisition costs, but a new AI-powered solution is changing the game. AppOnBoard’s Quvy leverages simulated audiences to predict ad performance, offering developers a faster, more affordable alternative to traditional A/B testing. This breakthrough could level the playing field for indie studios while helping major publishers optimize their marketing budgets.
Jonathan Zweig, CEO of AppOnBoard, highlights the staggering costs of acquiring mobile gamers—sometimes exceeding $50 per paying user. Smaller developers often struggle to compete with well-funded studios that can afford extensive ad testing. Quvy addresses this imbalance by reducing UA testing costs from $400,000 to just $4,000, a game-changing advantage for teams with limited resources.
The platform’s AI-driven simulations analyze thousands of ad creatives in minutes, identifying top performers before campaigns go live. This eliminates weeks of waiting for real-world data and slashes expenses associated with trial-and-error marketing. Early adopters report higher-performing campaigns and improved ROI, validating Quvy’s predictive accuracy.
For major publishers, the benefits extend beyond cost savings. Accelerated testing cycles mean faster iterations, while secure synthetic environments protect intellectual property during development. By maintaining untapped control groups, studios can refine creatives without exhausting their actual audience.
The timing couldn’t be better. With the digital ad market projected to hit $730 billion by 2025, AI-powered tools like Quvy are capturing a growing segment of marketers seeking efficiency. Traditional A/B testing represents a $50 billion industry—Quvy’s simulated audience approach targets an emerging $20-30 billion niche expanding at 30% annually.
Behind the technology lies an innovative use of synthetic data, mirroring Nvidia’s approach to training autonomous vehicles. Quvy creates virtual users with realistic preferences, enabling hyper-accurate predictions without real-world exposure. “These synthetic people exhibit genuine emotional responses,” explains Zweig. “We’ve distilled human reactions into mathematical models that outperform conventional testing.”
AppOnBoard’s broader ecosystem—including their no-code game builder Buildbox—now provides end-to-end solutions for creation and promotion. By democratizing access to advanced UA tools, they’re empowering developers to compete on creativity rather than budget size. As Zweig notes, “Discoverability shouldn’t be reserved for those with deep pockets.”
Early results show Quvy matching real-world UA test outcomes while delivering insights 3,000 times faster than traditional methods. What typically takes ad networks seven days to analyze now requires just three minutes. For an industry where timing and precision directly impact profitability, this innovation could redefine marketing strategies across mobile gaming and beyond.
(Source: VentureBeat)
