How an e-commerce store tripled its holiday sales

Andrea Ruiz was about to close her online store. December 2024 was a disaster: she lost 60% of conversations because she replied late. Customers bought from the competition. A year later, her December 2025 was completely different: +340% in sales. What changed? She automated her customer service with Sibila.

The problem: A women's fashion e-commerce store in Mexico with 50K Instagram followers. They spent $3K USD a month on ads but conversion was very low. The problem: an average response time of 6 hours. In high season, Andrea and her assistant couldn't keep up answering questions about sizes, colors and shipping. They lost 200+ conversations a day.

The solution: In November 2025 they implemented Sibila:

Sibi AI Bot on WhatsApp and Instagram Instant answers about products, sizes and shipping Real-time inventory integration Automatic lead qualification (serious vs. browsing)

Setup took 1 week. They trained the bot with their 30 most frequently asked questions. Andrea could update answers from her phone.

December 2025 results:

1,847 conversations vs. 300 in 2023 Response time: 2 minutes on average Conversion rate: From 12% to 34% Sales: +340% with the same ad spend Satisfaction: 94% (measured with NPS)

Andrea's full testimonial: “I used to wake up at 3am to answer messages. This December I slept peacefully knowing Sibila was handling everything. And the sales… I never imagined these numbers. The investment in Sibila paid for itself in the first week.”

Key lessons:

Response speed is critical in e-commerce Automation isn't cold, it can be personalized High season needs scalable solutions Automation ROI is immediate

Is your e-commerce store ready for the next high season?