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Adjust vs Kochava
June 04, 2023 | Author: Michael Stromann
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adjust is a business intelligence platform for mobile app marketers, combining attribution for advertising sources with advanced analytics and store statistics. Analyze each cohort and interaction in real time to see how your users respond to updates
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Kochava is a leading mobile attribution and analytics platform, with all the right features to be the only partner you’ll need. Visualize the true impact of your UA investments with real-time attribution and analytics.
Adjust and Kochava are both leading mobile attribution and analytics platforms, but they differ in their features, integrations, and focus. Adjust is a mobile marketing platform that provides powerful tools for app attribution, analytics, and audience segmentation. It offers a comprehensive suite of features for tracking app installations, measuring user engagement, and optimizing marketing campaigns. Adjust is known for its extensive integrations with various ad networks, enabling advertisers to track and optimize their campaigns across multiple channels. Kochava, on the other hand, is a mobile attribution and analytics platform that focuses on providing real-time, granular data and insights to advertisers. It offers features for attribution tracking, user acquisition, engagement analysis, and audience targeting. Kochava emphasizes its data privacy and security capabilities, allowing advertisers to comply with regulations and protect user data.
See also: Top 10 Mobile App Analytics platforms
See also: Top 10 Mobile App Analytics platforms
Adjust vs Kochava in our news:
2015. Mobile analytics provider Kochava acquired mobile ad optimization developer InferSystems
Mobile analytics provider Kochava has recently completed the acquisition of ad tech company InferSystems, intending to leverage its technology for the development of a new product known as the Kochava Optimization Beacon. This innovative product enables Kochava to expand its offerings from mobile ad measurement to optimization. Presently, advertisers utilizing Kochava need to manually examine campaign data, identify underperforming ad networks or publishers, and subsequently engage with the respective ad network to adjust their spending accordingly. However, with the introduction of the Optimization Beacon, this analysis and adjustment process can be automated, based on predetermined rules and goals set by the advertiser. While there are various ad optimization technologies available, most are controlled by demand-side platforms (DSPs), which are the purchasing tools commonly used by advertisers. Consequently, advertisers tend to select DSPs based on their optimization capabilities rather than the quality of their ad inventory, posing a challenge in the industry.
