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Saving 230 Hours of Customer Time Every Month Through Faster Site Performance

Moon Magic customers saved a collective 230 hours every month in waiting time. Faster loading meant smoother shopping journeys, fewer drop‑offs, and more enjoyable engagement with the brand.

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Monthly Hours Saved By Customers
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230 Hours
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SEO Boost
From improved core web vitals
Higher Customer Satisfaction
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Reduced Bounce Rates
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Established
2016
Industry
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Headquarters
Amsterdam
Mission
This gift ignited a passion to create jewelry that was more than beautiful - it was filled with love, energy, and meaning.

Partnering with Nostra.ai has been a game‑changer for our customers. By shaving precious milliseconds off key performance metrics like TTFB, LCP, and FCP, we’ve collectively saved over 230 hours every month. That’s not just time gained—it’s a smoother, more enjoyable shopping experience that builds trust in our brand.

Markus Bange

Overview

Moon Magic partnered with Nostra.ai to improve site speed and elevate the customer experience across their ecommerce storefront. By reducing Time to First Byte (TTFB), Largest Contentful Paint (LCP), and First Contentful Paint (FCP), Moon Magic customers saved a collective 230 hours every month in waiting time. Faster loading translated directly into smoother shopping journeys, fewer drop-offs, and a deeper sense of trust in the brand. Saving 1 second per session × 828k page views ≈ 230 hours returned to customers.

Company profile

Founded in 2016 and headquartered in Amsterdam, Moon Magic is a global gemstone jewelry brand built on the vision of making genuine gemstones accessible worldwide. Known for its thoughtfully sourced materials, sustainability focus, and image-rich designs, the brand has grown a loyal community across North America, Europe, and beyond. Customers are drawn not only to the jewelry’s beauty, but also to Moon Magic’s storytelling, inclusivity, and purpose-driven mission.

The challenge

As Moon Magic’s catalog and creative content expanded, customers began to encounter slower site performance. Product listing pages, image-heavy product detail pages, and campaign landing experiences took longer to load, particularly during promotions. Every millisecond of delay compounded across thousands of visits, leading to frustration, higher bounce rates, and missed opportunities for conversion.

The solution

To address these challenges, Moon Magic turned to Nostra.ai’s performance platform, which provided an edge-based acceleration layer and automated site optimization:

  • Edge delivery and smart caching reduced server round-trips.
  • Automatic asset optimization compressed and lazy-loaded images and scripts.
  • Continuous monitoring and auto-tuning preserved performance after updates.
  • Crawler optimization ensured that gains also improved SEO and discoverability.

Results, why it worked, and what’s next

By combining these improvements, Moon Magic achieved measurable outcomes:

  • 230 hours saved monthly across all customers thanks to faster TTFB, LCP, and FCP.
  • Improved shopping experience, especially for mobile and international users.
  • Lower bounce rates during campaign launches.
  • SEO boost from stronger Core Web Vitals.

These gains worked because acceleration happened at the edge, reducing delays before they reached customers. Optimized rendering ensured key elements appeared quickly, while stable performance created smooth, enjoyable sessions. With speed no longer a constraint, Moon Magic gained confidence to launch new campaigns and enrich PDPs with richer media.

Looking ahead, Moon Magic is reinvesting these wins into:

  • More immersive PDP content without sacrificing speed.
  • Ambitious international campaigns with consistent performance worldwide.
  • Continuous CRO and merchandising experiments to fuel growth.

What began as shaving milliseconds has turned into 230 hours returned to customers every month—a clear demonstration that performance improvements translate directly into satisfaction, loyalty, and conversion.

Learn how Nostra will turn visitors into customers

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