Kochava is integrated with hundreds of mobile publishers and ad networks, including Facebook, Google and Twitter through its buy-side software development kit (SDK). Kochava’s integration with Cooladata allows mobile developers and advertisers to not only view this data, but to also gain deeper insights through our advanced behavioral analytics. Kochava’s integration with Cooladata allows mobile developers and advertisers to view and gain deeper insights through our advanced behavioral analytics.
Kochava is a mobile measurement company that helps mobile app developers and advertisers analyze the effectiveness of marketing campaigns, by shedding light on what media advertising efforts are converting, and the effectiveness of their mobile ad spend.
Kochava’s platform allows developers to:
- Track ad network agnostic conversion tracking.
- Track app-specific feature tracking.
- Provide push notifications (both programmatic and via rich-media push).
The Kochava platform provides out-of-the-box SDK, and is integrated with over 650 mobile ad networks, publishers, and exchanges.
Integration with CoolaData
Kochava’s integration with CoolaData allows mobile developers and advertisers to gain deeper insights of users through CoolaData’s advanced behavioral analytics. A simple wizard on the Kochava side enables a choice of what Kochava data to send to CoolaData for behavioral analytics.
Kochava’s integration with CoolaData works as follows:
When an ad is placed and then a user installs an app, an ‘Install’ event is sent back to Kochava to notify them of the event. On the Kochava side, assuming the CoolaData integration is selected (as shown in the screenshot below), a token will need to be added, and then CoolaData is notified (via REST API) that this Install event took place.
CoolaData’s AppJolt integration enables you to combine mobile attribution data with deep behavioral analytics. AppJolt lets you Analyze, Recapture, Survey and Monetize users who uninstalled your app. CoolaData is partnered with AppJolt to track mobile application churn and correlate it with user behavioral trends.
AppJolt lets you Analyze, Recapture, Survey and Monetize users who update & uninstall your app.
Append Your Existing In-App Analytics with Uninstall Data
The missing piece to your in-app analytics. Link to any in-app event you are currently tracking and instantly find out who, why and when users are uninstalling your apps.
- You invested in paid acquisition campaigns, but did you measure which campaign has the highest uninstall rate? Track each media source all the way to the uninstall event.
- Tie in any behavior, retention and user engagement metric you are currently tracking all the way to the user uninstall.
- Track specific cohorts and profiles to see who is uninstalling your app.
Integrate in less than five minutes to enhance your existing in-app reports with uninstall data.
- Available for both iOS and Android
- Free service to all developers regardless of uninstall volume
AppsFlyer integration enables you to combine mobile attribution data with deep behavioral analytics. CoolaData’s partnership with AppsFlyer helps bridge the complex interplay between mobile attribution and deep behavioral analysis. AppsFlyer is integrated with hundreds of media partners and we’re proud to work with them on it. Customers of both platforms can now easily benefit from this integration, which is set up via a simple wizard on the AppsFlyer side. You can easily choose what Appsflyer data you want to send into CoolaData for behavioral analysis.
CoolaData provides a unified behavioral analytics database in the cloud and allows you to run deep behavioral analyses on your user events. CoolaData does not offer a method for user identification, but does require a unique user ID to be sent when logging any event. The minimum set of properties provided are event name, event timestamp and user ID.
The AppsFlyer-CoolaData integration allows you to track activation, retention and other behavioral analyses and link them to the campaigns identified by AppsFlyer allowing you to optimize your campaigns by quality of customers via customer lifetime value (LTV) and virality scores as well as quantity of installs.