If you're looking for a tool to optimize ad campaigns for a specific goal like CPI or CPA, Jampp is a good option. It uses machine learning and predictive algorithms to optimize mobile marketing performance. The platform decides where to spend, which ads to show, and when to optimize return on investment, using contextual and behavioral signals to estimate lifetime value and in-app conversions. Among its features are full funnel optimization, creative optimization, and detailed reporting.
Another contender is AppGrowth, which marries machine learning with a large supply of app ad inventory to optimize return on ad spend and user acquisition. It offers flexible pricing models and insights through detailed reporting. The platform also offers automated ad buying and optimization for goals like CPI, CPA and ROAS, making it a good option for mobile app marketers.
For a more complete suite of options, AppLovin connects companies with their audience across in-app, mobile and CTV platforms. It's got an AI-powered advertising engine and unified analytics for optimization. With automated campaigns optimized for specific performance goals and real-time visibility into return on ad spend, AppLovin is good for companies trying to expand their user base with targeted ads.
Last, Clinch offers dynamic ad optimization across multiple touchpoints with AI-powered technology. It includes creative automation tools and integration with common data sources for targeting and personalization. With features like true omnichannel personalization and dynamic video creation, Clinch can help you optimize your advertising and get more engagement.