Datasets

Imagine you run an online retail business with websites in different languages and you also need to test new features before making them live.

Scenarios:

1. Different Websites:

   • You have a French website (frenchsite.com) and a German website (germansite.com).

   • You create separate datasets for each website to handle personalization specifically for each site:

     • French Dataset: Contains user profiles, campaigns, and settings tailored for the French audience.

     • German Dataset: Contains user profiles, campaigns, and settings tailored for the German audience.

2. Different Environments:

   • You also need a place to test new features before they go live on your main sites.

   • You create separate datasets for your QA (testing) and production (live) environments:

     • QA Dataset: Used for testing new personalization features before they are made live.

     • Production Dataset: Used for the actual live site that customers interact with.

3. Identity Groups:

   • To ensure you don’t email the same user twice if they visit both your French and German sites, you group these datasets within an Identity Group.

   • This way, if John Doe visits both the French and German sites, he is recognized as the same user, and you can coordinate his experience without duplicating efforts.