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Adjust App Appboy Platform App

Features

* KPIs & cohort analysis: Each event you define is tracked over the lifetime of your users, and presented with a series of KPIs. From total occurrences per day and per segment, to events-per-user, to fully-fledged event conversion and cohort analyses. We put emphasis on keeping your data clear and statistically sound. With adjust's cohort analysis, your incoming daily, weekly or monthly cohorts are compared on the same relative basis by analyzing performance at the same time in a user's lifetime, showing you faster how trends and changes move the needle. * Custom events: Define the steps and interactions your users make in your app, whether it's signups, purchases or level-ups. We aggregate this data in real-time and crunch KPIs for every feature you define. One line of code lets you know how people use your app. Each of these interactions can be forwarded to your partners or your own systems via callback, for integration into your campaigns or business intelligence. * Data exports and reporting: Your data can be exported, partially or in full, at your request or at daily, weekly or monthly intervals. From there, you can calculate custom KPIs or produce your own reporting drilled down to each creative, cohort, or country. With real-time server-to-server callbacks, the circle is completed and your data filed right back into your own systems. * Forward your data to any partner: adjust works seamlessly with any other analytics suite you may be using, with ready-made modules for a number of analytics providers like Upsight, Mixpanel, Omniata, and more. Each analytics partner may receive granular user and event data, or be restricted to crunch only the data you want them to.

Features

* Multivariate Testing: Test up to six variants and choose the most effective messaging possible for push notifications, in-app messages and emails. * Intelligent Delivery: Take the guesswork out of scheduling campaigns by sending messages based on when each user will most likely engage with your app. * User Segmentation: Segment users based on any data point to create content for the masses in a relevant, seemingly individualized way. * Install Attribution: Discover which ad campaigns result in high-value users by reviewing the source of your app’s installs. * Polygon Location Targeting: Customize the exact area you’d like to target people in to create relevant, contextual experiences for your audience. * Analytics: Easily examine user behavior and key metrics from both a big picture and granular level, and adjust your strategy as needed. * User Permissions: Define distinct roles for your team to better control who sees and impacts your users’ mobile experience. * Conversion Tracking: Monitor and take action on metrics tied to each of your marketing campaigns, and see how they perform against your set goals. * Retargeting Campaigns: Improve user retention by creating targeted follow-up campaigns based on how each user engages with your messaging. * Action-Based Delivery: Trigger messages in response to each user’s behavior to ensure contextual, personalized communication that drives desired actions. * Connected Content: Automatically insert everything from nearby.

Languages

CS Java

Languages

CS Java

Source Type

Open

Source Type

Closed

License Type

MIT Proprietary

License Type

Proprietary

OS Type

OS Type

Pricing

  • Register to the site

Pricing

  • Register to the site
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