How Aveola Scaled Apple Ads and Hit ROAS Goals with AI ROAS Bid Optimization

Publisher
Aveola
Category
Entertainment
Aveola is a live video chat app that helps users meet new people and build real connections around the world.
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Aveola is a live video chat app that helps users meet new people and build real connections around the world. It enables 1-on-1 conversations with others who share similar interests, creating space for both casual chats and meaningful interactions.

With a growing global audience, Aveola continues to expand as a platform for social discovery and authentic connection. The user acquisition team relied on Apple Ads to drive growth and acquire high-intent users for their app. 

Challenge

The user acquisition team had been managing large keyword portfolios across multiple campaigns. Ensuring efficient spend allocation while maintaining a healthy ROAS required daily attention. As campaigns grew more complex, the Aveola team needed a way to scale efficiently and still hit their ROAS targets.

Solution

Aveola adopted SplitMetrics’ AI ROAS Bid Optimization to bring smarter automation and predictive insights into their Apple Ads strategy and saw positive results after three weeks of usage: 

We wanted a smarter way to manage our campaigns at scale. SplitMetrics’ AI ROAS Optimization helped us scale our user acquisition and hit our ROAS target. It gave our UA team the space to think bigger — without losing sight of our goals.

Aveola’s User Acquisition Team

The key capabilities the Aveola team found helpful included:

  • Daily performance forecasting: The model analyzed millions datapoints daily to predict expected spend and revenue with high accuracy.
  • Portfolio-level optimization: Spend was distributed dynamically across all keywords, focusing on those with the highest potential return.
  • Automatic bid adjustments: Bids were updated every day using the latest performance signals and campaign trends.
  • Market-adaptive safeguards: The system avoided overspending on saturated keywords and adapted to shifting market conditions with flexible bid ranges.
  • Focus on strategy: By reducing the need for manual bid oversight, the UA team gained more time to concentrate on creative testing and long-term planning.

This AI-driven approach helped Aveola manage complexity at scale, stay within ROAS targets, and accelerate campaign-level decisions with greater confidence.

Results

With AI ROAS Bid Optimization in place, Aveola scaled their Apple Ads campaigns effectively and stayed aligned with ROAS goals. Bid adjustments happened automatically based on performance signals, allowing the UA team to shift focus from daily campaign operations to broader growth strategy.

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