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ChartBoost vs MoPub
July 27, 2023 | Author: Sandeep Sharma
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Chartboost is a leading in-app programmatic advertising and monetization platform. We empower developers to earn high CPMs while connecting marketers to highly engaged audiences through immersive ad experiences.
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MoPub is a hosted ad serving solution built specifically for mobile publishers. Grow your mobile advertising business with powerful ad management, optimization and reporting capabilities, and earn revenue by connecting to the world's largest mobile ad exchange.
Chartboost and MoPub are both popular mobile advertising platforms that cater to app developers seeking to monetize their apps through ads, yet they offer different features and approaches. Chartboost is known for its specialization in serving game developers with interstitial and rewarded video ads, providing an engaging and immersive ad experience to enhance user engagement. It offers a direct ad marketplace and various targeting options, making it ideal for developers seeking a gaming-focused ad network with interactive ad formats. On the other hand, MoPub, owned by Twitter, is a robust mobile ad mediation platform that allows developers to manage and optimize ads from multiple ad networks through a single interface. MoPub's mediation capabilities ensure maximum ad fill rates and revenue optimization by serving ads from various demand sources, including Chartboost, while also providing advanced targeting and reporting features.
See also: Top 10 Mobile Advertising platforms
See also: Top 10 Mobile Advertising platforms
ChartBoost vs MoPub in our news:
2014. Facebook’s top ad seller Nanigans expands to Twitter’s MoPub
Nanigans, the leading Facebook Ads API tool responsible for managing $500 million in annual ad spend, has joined forces with mobile ad platform MoPub (owned by Twitter) to deliver advertisements across numerous mobile apps and websites. This collaboration highlights the growing appeal of MoPub to advertisers seeking publishers for their campaigns. Nanigans operates on a SaaS model, charging advertisers an annual subscription fee based on their ad spend, instead of inflating ad rates. Moreover, Nanigans leverages machine learning to forecast the lifetime value of customers acquired through its ads and optimizes for long-term revenue generation, prioritizing quality over the lowest-priced ads.
