The data behind OPUSH can provide App with data on good use a wider user group? such as their preferences for using mobile phones? preferences for apps they choose to download? their content interests (realized through content interactions within the OS)? etc.
The App’s own data good use
Cccurately describes the user’s use of the App? including the user’s behavioral tendencies within the App? and their lifetime value to the App.
By combining the data from the two? our understanding of users will be less likely to be biased? so it will be self-evident what kind of communication we should have with users.
For example? a business travel platform App sends promotional messages to all users? but at this moment? most users who are using their phones are doing other things? such as watching variety shows. Since there is no targeted understanding of whether different users have travel needs at the moment? and it is not known what travel interests they are really interested in at the moment? many users will ignore this message? or have to manually swipe away this message to continue their video playback.
This situation happens almost every day
Which wastes the limited number of App message is text services no pushes in vain? and even disturbs many users? which in turn increases the probability of App message push permissions being closed.
Tools such as OPUSH? you can push targeted messages based on the user’s actual travel intentions? which will increase the possibility of converting users from entertainment scenarios to your business scenarios? and not push messages to non-relevant users. This will increase the effectiveness of the push and reduce the probability of harassing users.
