Messages that can change your life
London, UK (PRWEB) December 20, 2016
Sending stickers and emojis is a fun way to enhance WhatsApp and Messenger conversations. Sometimes though, new words could be a good way to express our emotions.
Sticker Profiling offers an original answer. In addition to stickers and emojis, it provides users with message suggestions that match their psychological profile and usage patterns.
How does this work? The app involves psychological testing and artificial intelligence: users answer a few simple questions that enable the app to sort out their psychological profile, based on tools used by clinicians and human-resources professionals ("Do you feel more energetic after being with people or on your own?", "Are you more receptive to theories and possibilities or facts and reality?").
Once their profile is sorted out, app users get message suggestions that match their personality profile and see which messages are sent by people who share their personality traits.
With half a million messages sent each month, Sticker Profiling has been gathering momentum and its machine-learning algorithms get better at suggesting the right messages every day.
Message suggestions come from a worldwide writing contest. Over 50,000 messages suggestions have been entered by professional and amateur copywriters, to be used as they are or as inspiring starting points. There are 30 message categories, ranging from "I love you" to "Good morning" or “Thank you.”
With a rating of 4.5 stars on Google Play, Sticker Profiling has become, in 5 months, the best-rated sticker app for Android. It holds promising opportunities, as the data mining team is currently working on new apps and chatbots that will offer fun suggestions based on each user’s psychological profile, usage patterns and previous conversations.
The app is available in English, Spanish and French.
A simplified iPhone version has been released a few days ago.
Android version: https://play.google.com/store/apps/details?id=com.wm.mbtistickers
iPhone version: https://itunes.apple.com/app/sticker-profiling/id1180166465
Landing page: http://www.stickerprofiling.com