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AdMob vs MoPub
July 26, 2023 | Author: Sandeep Sharma
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AdMob is a leading global mobile advertising network that helps app developers monetize and promote their mobile and tablet apps with ads. Promote your apps to hundreds of millions of smartphone and tablet app users across the AdMob network. Cross-promote within your own apps for free with house ads.
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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.
AdMob and MoPub are both popular mobile advertising platforms, but they have distinct differences. AdMob, owned by Google, offers a vast network of advertisers and provides seamless integration with Google services, making it convenient for developers already using Google products. It offers robust targeting options, a wide range of ad formats, and extensive analytics capabilities. On the other hand, MoPub stands out for its flexibility and support for multiple ad networks, allowing developers to access a larger pool of advertisers. It offers customizable ad monetization strategies, real-time bidding, and in-depth reporting tools. While AdMob benefits from its integration with Google's ecosystem, MoPub's strength lies in its versatility and ability to maximize revenue through multiple networks.
See also: Top 10 Mobile Advertising platforms
See also: Top 10 Mobile Advertising platforms
AdMob 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.
