video1.0<iframe src="https://www.loom.com/embed/a205f201cbf24aeb967416b477a47b0d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/a205f201cbf24aeb967416b477a47b0d-e538cba1a972608e.gif366.306In this video, I provide an overview of my mini-project for Travel Tide, where I focused on segmenting customers based on their travel behavior to suggest personalized reward strategies. I utilized PostgreSQL for data extraction and Tableau for creating interactive dashboards, analyzing over 4,000 user tables. The segmentation revealed five distinct customer types, each matched with specific perks to enhance loyalty. I recommend implementing A-B tests on perks and integrating segmentation with CRM for real-time personalization. Please take a look at the dashboards published on my GitHub for more insights!