Case Study: Hollar achieves 46% conversion lift, higher AOV and 8+ hours/week saved with Retention Science

How AI helped Hollar’s customers find their favorite treasures

Hollar is an online dollar store offering trusted, brand-name items at up to 90% off across a vast, fast-changing catalog of toys, home goods, beauty and groceries. As the product assortment grew, Hollar struggled to decide which items to promote to which customers—the number of possible segmentations became unmanageable and email communications needed simplification without losing personalization.

Retention Science (ReSci) implemented automated, AI-driven item email notifications (New Arrivals, Price Drop and Item Back in Stock algorithms) to predict item affinity and target the customers most likely to engage. The result: a 46% lift in conversion for new arrivals, a 24% increase in average items per order, a 12% rise in average order value, and more than eight hours saved per week on email building and curation.

Hollar

Arvin Yeo

Senior Director, Marketing