yoummday ✗ Vistaprint CX Outsourcing Case Study
Restoring Full Customer Support in 16 Days
What happens when your primary customer service location suddenly goes offline – right before peak season?
In October 2025, Vistaprint faced this exact challenge when a hurricane disrupted call center operations just weeks ahead of Black Friday. Yet, customer support continued without interruption. Explore how yoummday’s flexible, location-independent approach safeguarded service continuity during a critical peak season.
Download for free the full Case Study “Restoring Customer Support in 16 Days”
See how yoummday restored VistaPrint’s support channels before customers felt the impact
The Client: VistaPrint
Industry: eCommerce (Online Printing and Marketing Services)
Agents recruited in: 9 Days
Channels: Phone, E-Mail & Chat
Product: Managed Services
Start date: October 2025
The Challenge
- In October 2025, VistaPrint’s main call center was impacted by a hurricane Melissa and taken out of operation, bringing customer service operations to a sudden halt.
- The company’s support model relied heavily on that single physical location.
- With Black Friday and the holiday season just weeks away, the pressure to restore service fast was critical to avoid commercial and reputational risk.
When disruption suddenly removes customer service capacity, speed and flexibility become critical. Models that rely on physical locations or fixed staffing structures can be slow to adapt, particularly when demand spikes unexpectedly or support is needed outside standard operating hours.

Why yoummday?
- yoummday’s approach is built around a globally distributed, fully remote network of vetted freelance agents (talents).
- Because the talents are already part of the platform, organisations can move more quickly from planning to live support than with traditional hiring or outsourcing models. This significantly shortens the time needed to restore service when operations are impacted.
- The largely part-time nature of the workforce also allows capacity to be adjusted dynamically. Support levels can be increased rapidly during peak periods and scaled back once demand stabilises, without long-term commitments or operational complexity.
- As a result, businesses are better equipped to maintain continuity of their customer support even when unexpected events disrupt normal operations.