What is Kochava?
It is the platform for mobile and connected devices gives customers access to powerful measurement features and global coverage with thousands of network and publishers integrations.
Kochava is a tool in the Mobile Analytics category of a tech stack.
Kochava is an open source tool with GitHub stars and GitHub forks. Here’s a link to Kochava's open source repository on GitHub
Optimizely, Segment, Urban Airship, Mode, and Periscope are some of the popular tools that integrate with Kochava. Here's a list of all 8 tools that integrate with Kochava.
Why developers like Kochava?
Here’s a list of reasons why companies and developers use Kochava
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- Mobile attribution
- Mobile app analytics
- Mobile marketing
- White labeling
- Audience Explorer
- Audience Builder
- Audience Manager
- Cohort analysis.
Kochava Alternatives & Comparisons
What are some alternatives to Kochava?
See all alternatives
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
Amplitude provides scalable mobile analytics that helps companies leverage data to create explosive user growth. Anyone in the company can use Amplitude to pinpoint the most valuable behavioral patterns within hours.
More companies trust Flurry Analytics to understand how consumers interact with their mobile applications than all other app analytics providers combined. Over 80,000 companies use Flurry Analytics in more than 230,000 applications to measure audience reach, engagement, retention, conversions, revenue and more.
Localytics provides app analytics and app marketing for the mobile market, similar to companies such as Flurry and Adobe.
We help over 3500 brands, including Jio, Cleartrip, BookMyShow, Curiosity, McDonalds, Sony, DC Comics, and Denver Broncos understand app behavior, and make their marketing data-driven.