This is the experience JSON referring to the profile scripts:{ "experienceType":"layout-change", "lifetime": "test", "location":"", "targetComponent":"TabbedShelf", "factory": "TabbedShelf", "blockType": "TabbedShelf", "data": { "recommendedTitle":"${user.translatedTabbedShelfTitleDevice}", "tit...

Thanks nnakirikanti, I've tried referencing the languageDevice script and getting value from mbox custom parameter.Oddly, response tokens contain the correct language and translation values but they don't output in the experience.

I have a profile script that checks the user's device language and checks against keys for a match to show a translated message. Device language is stored in another profile script called languageDevice. However, I can't save when I refer to it in this script with var deviceLanguage = user.get('lang...

+1. Sometimes I change a live script by accident. Even just 3 revisions + revert feature would be useful

@MihneaD what does "new mboxPC" refer to or mean? If visitor views another mbox on my site, do they count as a return visitor? Or only if they have returned to the mbox of current activity they are viewing?

@Amelia_Waliany are there upcoming Target coffee breaks at convenient APAC (Sydney) times? thanks

Agree this is way too many steps you could set up incorrectly.Perhaps more Analytics for Target dropdowns that you set initially in the panel, or a separate panel something like Analytics for Target (Auto-Target) that generates as close to the final workspace at https://youtu.be/WLtsoNzCQTk?t=322 5:...

I've experienced this too Ben. Sharing our fix in case it's similar to your issue:Turns out our Target default environment was set to ‘Development’ instead of 'Production'. After we set Production as the default env. Personalization Insights (automated segments) started appearing in the activity Res...

@Amelia_Waliany can this please be investigated?

Description - A slider/setting in Recommendations criteria to tune how much the algorithm should explore items in the catalog.Why is this feature important to you - Our use case is to show some random/less relevant items in a set of User-based recommendations so the they're not overoptimised to what...