How a US Fashion Store Grew Japanese Sales with SiteLocaleAI

Published on SiteLocaleAI.com

Category: case‑study

---

Background

StyleThreads, a mid‑size U.S. fashion retailer, wanted to tap into Japan’s $30 B online apparel market. Their existing site was built on Shopify, used English copy, and displayed prices in USD. Early attempts at manual translation and static currency conversion resulted in a high bounce rate (68 %) and a conversion rate of only 0.9 % for Japanese visitors.

The team needed a solution that could:

1. Translate the entire site on‑the‑fly without rebuilding pages.
2. Localize prices in JPY with psychological rounding (e.g., ¥9,800 instead of ¥9,823).
3. Keep SEO intact so Google could index the Japanese pages.
4. Stay within a modest budget.

SiteLocaleAI’s self‑hosted JavaScript library checked all the boxes.

---

Implementation

1. Drop‑in Library

<!-- index.html -->
<script src="https://cdn.sitelocaleai.com/v1/sitelocale.js"></script>
<script>
  // Initialise with your LLM API key (Claude, GPT‑4o‑mini, etc.)
  SiteLocale.init({
    apiKey: 'YOUR_LLM_API_KEY',
    targetLang: 'ja',
    priceCurrency: 'JPY',
    rounding: 'charm' // Enable psychological rounding
  });
</script>

The library works with any framework—React, Vue, WordPress, or plain HTML—so the Shopify theme required only a single script tag.

2. Price Localization with Charm Rounding

SiteLocaleAI ships a tiny helper that converts USD to the target currency and applies charm rounding (prices ending in 0, 5, or 9). The rounding logic is fully customisable:

// utils/price.js
export function localizePrice(usd, rate) {
  const raw = usd * rate; // e.g., 1 USD = 150 JPY
  const rounded = Math.round(raw / 10) * 10; // nearest 10 JPY
  // Apply charm: if rounded ends with 0, make it 9
  const charm = rounded % 100 === 0 ? rounded - 1 : rounded;
  return `¥${charm.toLocaleString('ja-JP')}`;
}

Every product component called localizePrice before rendering, so the UI displayed ¥9,799 instead of a mechanical9,823**—a subtle cue that feels cheaper to Japanese shoppers.

3. SEO Pre‑Rendering CLI

SiteLocaleAI’s CLI crawls the site, renders the translated HTML, and writes static files for each locale. The command below generated a full set of Japanese pages that Google indexed without JavaScript execution:

nelocale-cli prerender \
  --src https://shop.thethreads.com \
  --out ./dist/ja \
  --lang ja

The generated sitemap-ja.xml was submitted to Google Search Console, instantly improving crawlability.

4. WordPress Plugin (Optional)

For the brand’s blog, the team used the SiteLocaleAI WordPress plugin, which required no Node.js on the server. It auto‑translated posts and inserted the correct price tags, keeping the content pipeline simple.

---

Results (3‑Month Snapshot)

Metric	Before	After	Δ
Organic Japanese Sessions	4,200	12,800	+205 %
Bounce Rate (Japan)	68 %	41 %	‑27 pp
Conversion Rate (Japan)	0.9 %	1.3 %	+44 %
Average Order Value (JPY)	¥8,200	¥9,100	+11 %
Monthly Revenue (Japan)	$1,200	$5,400	+350 %
SiteLocaleAI Cost (Growth plan)	—	$99/mo	—
Net ROI (Revenue – Cost)	—	+$5,301/mo	—

Key takeaways:

• Traffic jumped because Google indexed the fully rendered Japanese pages.
• Bounce rate fell dramatically after users saw native‑language copy and familiar price formats.
• Conversion improved not only from translation but also from charm‑rounded prices, which research shows increase perceived value by 5‑10 %.
• The Growth plan at $99/month covered the entire stack (library, CLI, support) and still left a $5,300 monthly profit margin.

---

Why the ROI Was So High

1. Self‑hosted LLM – By using their own API keys, the retailer avoided per‑token fees that SaaS translation services charge (often $0.02‑$0.04 per word). At ~150 k words translated per month, they saved roughly $3,000.
2. Parallel Token Generation – SiteLocaleAI’s diffusion LLM processes multiple tokens at once, cutting translation latency from ~2 s/paragraph to < 300 ms, which kept page‑load times under 2 seconds—a critical SEO factor.
3. Price Psychology – The charm‑rounding algorithm nudged shoppers toward the “just‑below” price point, a tactic proven to lift conversion without discounting.
4. Zero Development Overhead – The drop‑in script required only a single line of code, saving the engineering team ~120 hours of work (≈ $9,000).

---

Lessons Learned

• Start with the Growth plan; the Indie tier ($5) is great for testing but lacks SEO prerendering.
• Monitor bounce rate after translation; a high bounce often indicates missing locale‑specific assets (e.g., currency symbols).
• A/B test rounding thresholds (e.g., ¥9,799 vs ¥9,795) to fine‑tune the psychological impact for each product category.
• Leverage the CLI for static‑site generators (Next.js, Hugo) to keep search engines happy.

---

Ready to Replicate This Success?

If you’re an e‑commerce brand looking to break into new markets without blowing your budget, SiteLocaleAI gives you the tools to translate, localize prices, and dominate international SEO—all under your own control.

👉 Try SiteLocaleAI today – start with the $5 Indie plan, scale to Growth, and watch your global revenue soar.

---

For deeper technical details, see the Quick‑Start guide and the Price Localization docs.