Productos populares
Crecimiento FullStack
Last Updated: febrero 10, 2026Growth FullStack is a no-code data management platform tailored for mobile publishers. By integrating data from different sources, it supports customizable refresh schedule and visualization, allowing businesses to focus on strategic growth without a data team. Key Features Use Cases For more detailed information, please visit Growth FullStack.
ROI de la mediación publicitaria
Last Updated: febrero 10, 2026Ad Mediation Revenue Metrics and Callbacks You can access this feature by purchasing any of our paid plans, or adding the Ad Mediation Revenue Metrics / Ad Revenue Callbacks add-on to your plan. Simply email us at support@tenjin.com to request access. Ad Mediation Metrics for User Acquisition The Tenjin dashboard offers comprehensive support for Ad...
Campañas LiveOps
Last Updated: febrero 10, 2026LiveOps Campaigns The response from the LiveOps feature won’t always be real-time. We don’t have the guaranteed response time, so please implement the retry logic if you don’t get a response in time. In Tenjin you can set up a custom user journey depending on their attribution source. This opens up a whole array of...
Meta Medición Móvil Avanzada (AMM) con Tenjin
Last Updated: febrero 10, 2026What is Meta AMM?Meta’s Advanced Mobile Measurement (AMM) program allows advertisers to access row-level data for app install and post-install events from Meta platforms (Facebook, Instagram, etc.). This data includes anonymized device-level information that can be used for in-depth analysis, LTV modeling, and optimization across your own BI stack.Due to privacy policies and data sharing...
LTV previsto (pLTV)
Last Updated: febrero 10, 2026Using Tenjin’s Predicted LTV to Optimize Campaigns The N-Day All pLTV (Ad Mediation + IAP) metric in Tenjin allows you to evaluate campaign performance early, using our machine-learning forecasts of total user revenue. This helps you make informed decisions about scaling, maintaining, or pausing campaigns without waiting for cohort data. The best part is: You...