Is Your Message Ready for Japan?
Find out what Japanese buyers see — and what your current messaging gets wrong — before you invest in full localization.
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Your Homepage Translates Fine. It Just Doesn't Convert.
Japanese B2B buyers evaluate vendors differently — different trust signals, different proof points, different buying-committee dynamics. Literal translation misses all of it, and most teams don't find out until months into a stalled Japan launch.
See How It Works ↓See the Framework in Action
AI SaaS Decagon (AI Customer Support / Concierge Platform)
Company Context
Series D, $4.5B valuation. Provides AI agent-based customer support automation for enterprise brands (Avis Budget Group, Deutsche Telekom, and others).
Before (Current Positioning)
Decagon's messaging leads with vision — "AI concierge experience," moving away from legacy systems, and measurable cost reduction. It's supported by customer logos and hard numbers (cost/time savings), in a fairly bold, efficiency-first tone.
Why This Underperforms in Japan
"AI automates support" reads as innovation in the US, but Japanese buyers often hear it as a quality risk — a signal that complaint handling and nuance might suffer. The framing needs to be "AI reduces the burden on people, freeing them for judgment calls" rather than "AI replaces the support team." Logo walls are strong social proof in the US. Japanese buyers tend to weigh detailed, same-industry case studies more heavily than a list of recognizable brands.
After (Japanese Market-Localized Copy)
AIに任せるのは「対応」、任せないのは「判断」
カスタマーサポートにAIを導入したいと思う一方で、「品質が落ちるのでは」「クレームにどう対応すればいいのか」という不安から、踏み出せずにいる企業も多いのではないでしょうか。
実際、導入前は同じ不安を抱えていた企業がほとんどです。
だからこそ私たちは、問い合わせ対応の負担を減らしながら、複雑な判断が必要な場面は人が対応する、という体制を、既存のサポート体制を大きく変えずに実現します。
導入企業の声（同業種の実例）
「導入前は、AIに置き換えることへの現場の不安が大きかった。実際にはAIが定型対応を担うことで、オペレーターは複雑な案件に集中できるようになり、顧客満足度もむしろ上がった」
まずは一部の問い合わせ種別から。効果を確認しながら、対応範囲を広げていくことができます。
Back-Translation (English)
Let AI Handle the Routine. Let People Handle the Judgment Calls.
You may want to bring AI into your customer support — but hold back out of concern that quality will drop, or that complaints won't be handled the way they need to be.
Most companies who've adopted this felt exactly the same way before they started. That's why we built a setup that reduces the burden of routine inquiries while keeping complex, judgment-based cases with your people — without overhauling your existing support structure.
What Companies Like Yours Are Saying
"Before we adopted this, our frontline team was worried about being replaced by AI. In practice, AI took over routine responses, which let our operators focus on complex cases — and customer satisfaction actually went up."
Start with a subset of inquiry types. Expand coverage gradually as you confirm the results.
Why This Works — PASONA Breakdown
The original English copy opens on vision and efficiency claims — a direct translation would trigger the exact quality concern this version is built to defuse first.
| Stage | Where it appears |
|---|---|
| Problem | "You may want to bring AI into your customer support..." |
| Affinity | "Most companies who've adopted this felt exactly the same way before they started." |
| Solution | "That's why we built a setup that reduces the burden of routine inquiries..." |
| Offer | The same-industry testimonial — concrete proof, not a logo wall. |
| Narrowing Down | "Start with a subset of inquiry types. Expand coverage gradually..." |
| Action | The two CTAs. |
HR SaaS Ashby (Recruiting / ATS Platform)
Company Context
Ashby is a YC-backed, all-in-one recruiting platform combining an ATS, sourcing/CRM, scheduling, and analytics into a single system. Its customer base includes Notion, Ramp, HackerOne, and Replit, and it positions itself against point-solution incumbents like Greenhouse, Lever, and SmartRecruiters. The core sales pitch is consolidation: one tool instead of a stitched-together stack, aimed at growth-stage and enterprise talent teams.
Before (Current Positioning)
The English site leads with a confident, efficiency-first headline — "Consolidate your recruiting stack without compromising" — and organizes the entire page as a modular feature catalog rather than a single persuasive narrative. Each product category gets its own block: a short intro, a handful of named mini-features with screenshots, and a dense "and so much more" tag list at the end. This is followed by a numbered six-step migration section and a grid of named, photographed customer testimonials.
Why This Underperforms in Japan
The "consolidate without compromising" framing is an efficiency-and-scale pitch typical of US growth-stage SaaS. Japanese HR buyers weigh candidate experience and internal consensus-building at least as heavily as efficiency, so a literal translation risks reading as transactional rather than trustworthy.
Named, photographed foreign executives as social proof don't transfer well — unfamiliar foreign names and titles carry little weight with a Japanese buyer; anonymized same-industry validation is more persuasive here.
The dense "and so much more" tag lists assume a reader scanning quickly for feature keywords. Japanese B2B buyers tend to read more completely and expect each capability to be explained rather than just labeled.
新卒一括採用 (mass new-graduate hiring) has no equivalent in the US market, so the English original has no language for it at all. A direct translation silently drops the single biggest structural difference in how Japanese companies hire.
The migration section sells almost entirely on speed. In Japan, switching a system this central also needs to visibly address the risk of disrupting an existing internal approval and evaluation process.
After (Japanese Market-Localized Copy)
候補者への丁寧さを、削らずに一本化する
ATS・日程調整・CRM・分析をひとつに。新卒一括採用にも中途採用にも、それぞれのフローのまま対応します。
［導入企業ロゴ帯］
ATS（採用管理システム）
候補者への丁寧さを保ちながら、構造と再現性を両立するATS。選考の可視化と、次に何をすべきかが常に明確な状態を実現します。
新卒一括にも中途にも対応できる、柔軟なATS
視覚的なパイプラインとカスタマイズ可能な選考フローで、チーム全体の一貫性を高めます。
ATSの詳細を見る →
不合格通知の最終確認フロー
テンプレートはあくまで下書き。送信前に必ず人の目で確認できる設計で、候補者への言葉づかいを最後まで守ります。
AI候補者アシスタント
候補者情報をチャット形式で即座に確認。コミュニケーション文面の下書きにも活用できます。
その他の機能
書類の電子署名／候補者体験アンケート／高度な自動化／データプライバシー管理／承認フロー／カスタム選考プラン ...もっと見る
分析（Analytics）
自信を持って使える採用データ。スプレッドシートもデータサイエンティストも不要です。
すぐ使えるジョブ別ダッシュボード
すべての求人に対応した標準ダッシュボードで、チームが自走できる分析基盤を用意。
分析機能の詳細を見る →
採用計画プランナー
目標達成までに必要な採用数と進捗を可視化。経営層への共有にもそのまま使えます。
その他の機能
定期配信ダッシュボード／カスタムアラート／ダイバーシティレポート ...もっと見る
ソーシング＆CRM
一人ひとりへの丁寧な対応を保ちながら、大規模なソーシングを実現します。
Chrome拡張機能
候補者情報の閲覧・メール送信・管理が、ブラウザから直接可能。
ソーシング＆CRMの詳細を見る →
マルチチャネルアウトリーチ
メールとLinkedInを組み合わせたシーケンスで、返信率を向上。
その他の機能
CRM内の高度な検索／AIによる文面パーソナライズ ...もっと見る
スケジューリング
複雑な日程調整も、候補者体験を落とさず効率化。
候補者による直接予約
複数日程の調整も、候補者側でセルフサービス完結。
スケジューリングの詳細を見る →
選考ステージ連動の自動送信
候補者が特定のステージに進んだタイミングで、予約リンクを自動送信。
その他の機能
面接官プール管理／カレンダー招待テンプレート ...もっと見る
導入の流れ
データ移行 — 専任のカスタマーサクセス担当と移行タイミングを調整。専用コネクタでスムーズにインポート。
初期設定 — 権限設定、ソース設定、各種連携など、基盤を一緒に構築。
選考フロー設計 — すでに円滑な既存プロセスは維持しつつ、必要な部分だけ刷新。
ワークフロー構築 — アラート、アンケート、承認フローなどを設計。
ユーザー導入 — 設定内容の確認と、分析機能のトレーニング。
本稼働 — 多くの企業が、契約から6〜8週間で本稼働を開始しています。
「オンボーディングから一貫して、迅速で明確なサポートをいただいています」
——同業種 Head of Talent
「移行は拍子抜けするほどスムーズでした。契約から1ヶ月で、本稼働まで完了しました」
——同業種 Recruiting Operations Manager
丁寧な採用プロセスを保ったまま、スケールする
まずはお問い合わせください。
Back-Translation (English)
Consolidate Without Cutting Corners on Candidate Care
ATS, scheduling, CRM, and analytics — all in one. New-graduate mass hiring and mid-career hiring each keep their own process.
［Customer logo bar］
ATS
An ATS that keeps candidate care intact while giving you structure and repeatability — full visibility into where each candidate stands, and a clear next step at every stage.
A flexible ATS built for both mass hiring and individualized mid-career hiring
Visual pipelines and customizable interview flows keep your whole team consistent.
Explore the ATS →
A final human check before rejection notices go out
Templates are only a starting draft. Every message gets a human read before sending — the tone toward candidates is never left to automation alone.
AI Candidate Assistant
Pull up candidate context instantly through a chat interface. Draft communications faster.
And So Much More
Document e-signature / Candidate experience surveys / Advanced automation / Data privacy controls / Approval workflows / Custom interview plans ... see more
Analytics
Recruiting data you can actually trust — no spreadsheets, no data scientist required.
Ready-to-use dashboards for every job
Standard dashboards across all your open roles, so your team can self-serve.
Explore Analytics →
Recruiting planner
Visualize what it takes to hit your hiring targets — shareable directly with leadership.
And So Much More
Scheduled dashboard delivery / Custom alerts / Diversity reporting ... see more
Sourcing & CRM
Source at scale without losing the personal touch.
Chrome extension
View, email, and manage candidates directly from your browser.
Explore Sourcing & CRM →
Multi-channel outreach
Combine email and LinkedIn sequences to lift response rates.
And So Much More
Advanced CRM search / AI-personalized outreach copy ... see more
Scheduling
Handle even complex scheduling without hurting the candidate experience.
Candidate self-booking
Time zones and multi-day interviews, handled entirely on the candidate's end.
Explore Scheduling →
Stage-triggered auto-send
Booking links go out automatically the moment a candidate hits a given stage.
And So Much More
Interviewer pool management / Calendar invite templates ... see more
Getting Started
Data Migration — Coordinate timing with your dedicated Customer Success Manager; purpose-built connectors make import fast.
Initial Setup — We help build the foundation together: permissions, sources, integrations.
Process Design — Keep what's already working, rebuild only where it makes sense.
Workflow Build — Alerts, surveys, approval flows, configured to fit.
User Onboarding — Review the setup together, train on analytics.
Go Live — Most companies go live within 6–8 weeks of signing.
"Support has been fast and clear, consistently, since onboarding."
— Same-industry Head of Talent
"Migration was suspiciously smooth. One month from signing to fully live."
— Same-industry Recruiting Operations Manager
Scale Without Losing a Careful Hiring Process
Get in touch to start.
Why This Works — PASONA Breakdown
The real Ashby site isn't a single persuasive arc — it's a feature catalog that reassures the reader through breadth and evidence rather than narrative tension. PASONA still governs the psychology underneath, but it's distributed across modules instead of paragraphs.
| Stage | Where it appears |
|---|---|
| Problem | Implicit in the hero's "without cutting corners" framing. |
| Affinity | Each category's opening line (e.g., "keeps candidate care intact"). |
| Solution | The four category blocks (ATS, Analytics, Sourcing & CRM, Scheduling). |
| Offer | The mini-feature titles plus each "and so much more" tag list. |
| Narrowing Down | The six-step "Getting Started" section — the format's real risk-reversal mechanism. |
| Action | The testimonial grid (trust) followed by the closing CTA banner. |
DevTools Linear (Project & Issue Tracking Platform)
Company Context
Linear is a project- and issue-tracking tool for software product teams, founded in 2019 and used by more than 40,000 companies. It's known for a minimalist, design-forward brand voice and an unusually low copy density per screen. The company has recently repositioned itself around the "AI era," framing the product as a shared workspace for human engineers and AI coding agents working side by side.
Before (Current Positioning)
The English homepage leads with a short, declarative headline. Rather than explaining features in prose, the page reads as a numbered walkthrough (1.0 Intake, 2.0 Plan, 3.0 Build, 4.0 Diffs, 5.0 Monitor), each section anchored by a large, interactive product screenshot with a short two-sentence description and a list of expandable sub-features.
Why This Underperforms in Japan
The "for teams and agents" framing assumes an audience that has already normalized AI agents doing real engineering work autonomously. Japanese enterprise engineering organizations are typically still forming internal AI governance policy, so presenting agents as already-integrated teammates can read as premature.
The page's extremely low copy density relies on the reader inferring value from screenshots alone. Japanese B2B buyers expect enough explanatory text to build a written case.
Quotes attributed to named foreign engineering leaders function as credibility signals to a US/global technical audience. In Japan, unfamiliar foreign names carry little independent weight.
The confident, fragmentary voice uses brevity itself as a marker of authority in English. A direct translation of three-word fragments into Japanese typically reads as incomplete rather than confident.
After (Japanese Market-Localized Copy)
チームの「当たり前」を、もう一段引き上げるプロダクト開発基盤
計画から実装まで、ひとつの基盤で。AIエージェントは、必要な場面でチームを支える存在として設計されています。
NEWコーディングセッション →
［プロダクト画面：課題とエージェントの活動ログが同時に確認可能なＵＩ］
次世代のプロダクトツール
AIを前提としたワークフローのためにゼロから設計されたLinearは、プロダクト開発の新しい基準になっています。
設計思想を大切に
世界クラスのプロダクトチームの実践知をもとに設計。
エージェントと働く
PRDの下書きからPRの作成まで、人とAIエージェントが同じワークフローの中で動きます。
速さを追求
ノイズを減らし、チームの勢いと集中力を取り戻します。
1.0 起票・整理
会話や問い合わせから、対応すべき課題を自動的に振り分け・ラベリング・優先順位付け。
起票・整理の詳細を見る →
1.1 エージェント連携 + | 1.2 トリアージ + | 1.3 顧客からの要望管理 + | 1.4 Linear Asks +
2.0 プランニング
アイデアからローンチまで。イニシアチブ、ロードマップ、常に最新のPRDでチーム全体の方向性を揃えます。
プランニングの詳細を見る →
2.1 プロジェクト + | 2.2 ドキュメント + | 2.3 イニシアチブ + | 2.4 ビジュアルプランニング +
3.0 ビルディング
人とAIエージェントが並走して開発を進める。複雑なタスクを共同で進めることも、課題をまるごと委任することもできます。
ビルディングの詳細を見る →
3.1 課題 + | 3.2 エージェント + | 3.3 Linear MCP + | 3.4 Git連携 + | 3.5 サイクル +
4.0 レビュー
人・AIエージェントによる変更を、構造化されたDiffで一目で把握。レビュー・議論・マージまでLinear上で完結します。
Diffsの詳細を見る →
5.0 進捗把握
プロジェクトの更新、分析、ダッシュボードで、今どこに注意を向けるべきかが一目で分かります。
Monitorの詳細を見る →
アップデート
コーディングセッションのモバイル対応 — デスクを離れても、開発の手を止めない。モバイルアプリでコードの変更をレビューし、コメントを残し、エージェントと一緒に進められます。
エージェントによる文章編集支援 — ドキュメントやプロジェクトの説明文は、チームとエージェント双方にとって重要な情報です。
すべて見る →
「Linearを使うこと自体が、プロダクトへの向き合い方を引き上げてくれる」
——同業種 プロダクトエンジニアリングリード
「スピード感を保ったまま、チームの意思決定に一貫性が生まれた」
——同業種 エンジニアリング責任者
Linearは、スタートアップから大手企業まで、世界で40,000以上のプロダクトチームに導入されています。
導入事例を見る →
導入後即日、ご利用可能です。
Back-Translation (English)
A Product Development Foundation That Raises Your Team's Baseline
From planning to shipping, on a single foundation. AI agents are designed to support your team wherever they're needed.
NEWCoding Sessions →
［Product screen: interface showing issues alongside agent activity logs］
A New Generation of Product Tool
Built from the ground up for AI-native workflows, Linear is setting a new standard for product development.
Grounded in craft
Built on the practices of world-class product teams.
Working with agents
From drafting PRDs to opening PRs, people and AI agents move through the same workflow.
Built for speed
Cuts noise and restores momentum and focus.
1.0 Intake
Conversations and requests get automatically routed, labeled, and prioritized into the right issues.
Explore Intake →
1.1 Agent Integration + | 1.2 Triage + | 1.3 Customer Requests + | 1.4 Linear Asks +
2.0 Plan
From idea to launch. Initiatives, roadmaps, and always-current PRDs keep the whole team aligned.
Explore Plan →
2.1 Projects + | 2.2 Documents + | 2.3 Initiatives + | 2.4 Visual Planning +
3.0 Build
People and AI agents move development forward side by side. Work through complex tasks together, or delegate an entire issue.
Explore Build →
3.1 Issues + | 3.2 Agents + | 3.3 Linear MCP + | 3.4 Git Integrations + | 3.5 Cycles +
4.0 Diffs
See changes from people and AI agents at a glance with structured diffs. Review, discuss, and merge — all within Linear.
Explore Diffs →
5.0 Monitor
Project updates, analytics, and dashboards make it obvious where your attention needs to go.
Explore Monitor →
Changelog
Coding sessions on mobile — Your coding session doesn't have to stop when you leave your desk. Review code changes, leave comments, and keep iterating with an agent from the mobile app.
Agent-assisted text editing — Documents and project descriptions are critical context for both your team and your agents.
View all →
"Using Linear itself raises how seriously your team approaches the product."
— Same-industry Product Engineering Lead
"We kept our speed, and our team's decisions became more consistent."
— Same-industry Head of Engineering
Linear powers more than 40,000 product teams worldwide, from startups to large enterprises.
See Customer Stories →
This Foundation Is Ready Today
Why This Works — PASONA Breakdown
Linear's real page persuades almost entirely through structure and product proof, not argument — so the localized version keeps that same numbered, screenshot-led architecture rather than converting it into ad copy.
| Stage | Where it appears |
|---|---|
| Problem | Left implicit, the way the English original leaves it implicit. |
| Affinity | The three-part value grid, softened from fragments into complete (if short) sentences. |
| Solution | The five numbered sections (1.0–5.0) — each a self-contained mini Problem→Solution. |
| Offer | The "+" sub-feature lists and the Changelog section. |
| Narrowing Down | The anonymized same-industry quotes plus the softened scale statistic. |
| Action | The closing CTA banner, kept multi-button as in the original. |
MarTech Warmly (Website Visitor Identification & Warm Outbound)
Company Context
Identifies anonymous companies visiting a website and surfaces them as warm outbound opportunities for sales and marketing teams.
Before (Current Positioning)
The core pitch centers on identification and immediacy — knowing exactly who is browsing your site, even anonymously, and reaching out right away.
Why This Underperforms in Japan
"We can tell you who's browsing anonymously" reads very differently in a market with heightened privacy sensitivity and strong awareness of Japan's Act on the Protection of Personal Information (APPI). A feature framed as clever targeting in the US can land as surveillance in Japan. The English original doesn't distinguish between identifying an individual and identifying a company — a distinction that matters enormously to a Japanese buyer deciding whether this tool is something they're comfortable deploying.
After (Japanese Market-Localized Copy)
「すでに興味を持ってくれている人」を、見逃さない
自社のサイトに訪れた企業の中に、実はすでに導入を検討してくれている相手がいるかもしれない——。そう感じながらも、その相手が誰なのか分からず、機会を逃してきた経験はありませんか。
多くのマーケティング担当者が、同じもどかしさを感じています。
このツールは、公開されている企業情報の範囲で、サイトを訪れた企業を可視化します。個人を特定するものではなく、あくまで「関心を持ってくれた企業」に気づき、丁寧にお声がけするためのものです。
できるようになること
✓ すでに関心を持っている企業に、タイミングを逃さずお声がけできる
✓ 個人情報ではなく、企業単位での可視化にとどめた設計
✓ 導入企業からは「押し売りではなく、自然なきっかけ作りができる」という声をいただいています
まずは実際にどこまで分かるのか、デモでご確認ください。
Back-Translation (English)
Don't Miss the Companies Who Are Already Interested
Somewhere among the companies visiting your website, there may already be one seriously considering what you offer — but without knowing who they are, that opportunity slips by. Sound familiar?
Many marketers share this exact frustration.
This tool surfaces which companies have visited your site, based on publicly available company-level information. It doesn't identify individuals — it's built to help you notice companies that have shown interest, so you can reach out thoughtfully.
What This Makes Possible
✓ Reach out to already-interested companies without missing the moment
✓ Designed to surface company-level visibility only, not personal data
✓ Companies using this tell us it creates a natural opening for outreach, not a pushy one
See exactly what this does and doesn't show you, in a live demo.
Why This Works — PASONA Breakdown
A literal translation of "know who's browsing anonymously" would preserve the individual-identification framing that makes this feature sound invasive in Japan.
| Stage | Where it appears |
|---|---|
| Problem | "Somewhere among the companies visiting your website..." |
| Affinity | "Many marketers share this exact frustration." |
| Solution | "This tool surfaces which companies have visited your site..." |
| Offer | The 3-point list — the 2nd point exists specifically to pre-empt a privacy objection. |
| Narrowing Down | "See exactly what this does and doesn't show you, in a live demo." |
| Action | The two CTAs. |
LegalTech Ironclad (Contract Lifecycle Management)
Company Context
Platform for drafting, reviewing, signing, and managing contracts, with speed of execution as a core value proposition.
Before (Current Positioning)
The messaging centers on eliminating friction and delay — turning a contract process that takes days into one that takes minutes, and removing legal as a bottleneck.
Why This Underperforms in Japan
Contract approval inside Japanese companies typically runs through a multi-department consensus process (稟議・根回し) involving legal, the requesting department, and often senior management. A "sign in minutes" pitch can read as dismissive of a process that isn't a bug to be removed, but a deliberate, valued part of how the organization operates.
After (Japanese Market-Localized Copy)
稟議のプロセスは変えず、そこに至るまでの迷子をなくす
契約書が今どの部署で止まっているのか分からない。誰が承認待ちで、何が原因で進んでいないのか、探すだけで時間がかかる——。そんな経験はありませんか。
多くの法務・営業担当者が、同じ悩みを抱えています。
このツールは、御社の稟議・承認フローそのものを変えるものではありません。今どの段階にあるかを可視化し、関係者全員が同じ状況を把握できるようにするものです。
変わること
✓ 承認の流れは御社の既存フローのまま、可視化だけを追加
✓ 誰が・いつ・何を承認したかの記録が、自動的に残る
✓ 法務担当者からは「探す時間が減り、本来の確認業務に集中できる」という声をいただいています
まずは御社の稟議フローに合わせて、どう可視化されるかをデモでご確認ください。
Back-Translation (English)
Keep Your Approval Process As It Is — Just Stop Losing Track of It
Not knowing which department a contract is currently sitting in. Losing time just trying to find out who's waiting to approve it, and why it's stalled. Does this sound familiar?
Many legal and sales teams share this exact frustration.
This tool isn't here to change your company's approval and consensus process. It makes visible where things currently stand, so everyone involved can see the same picture.
What Changes
✓ Your existing approval flow stays exactly as it is — we only add visibility
✓ A record of who approved what, and when, is kept automatically
✓ Legal teams using this tell us they spend less time searching and more time on the actual review work that matters
See exactly how this maps onto your own approval flow, in a live demo.
Why This Works — PASONA Breakdown
The original's core value proposition — speed — is deliberately not the lead in the Japanese version. Instead, the opening promise is that the existing consensus process stays intact.
| Stage | Where it appears |
|---|---|
| Problem | "Not knowing which department a contract is currently sitting in... Does this sound familiar?" |
| Affinity | "Many legal and sales teams share this exact frustration." |
| Solution | "This tool isn't here to change your company's approval and consensus process. It makes visible where things currently stand..." |
| Offer | The 3-point list — the 1st point explicitly reassures that the existing process is preserved. |
| Narrowing Down | "See exactly how this maps onto your own approval flow, in a live demo." |
| Action | The two CTAs. |
Start Small. Scale When It Makes Sense.
Japan LP Quick Review — $149
Your first, low-risk step. What's losing trust with Japanese buyers, and exactly what to fix first.
- 2 headline alternatives, 2 CTA alternatives
- 5-8 page PDF report, delivered in 48 business hours
- Not satisfied? Full refund*.
Japan LP Full Rewrite — $440
Not translated — rewritten for how Japanese buyers actually decide. (Regularly $590)
- Full rewrite, up to 1,200 words, one revision round included
- Before/After comparison sheet, 5 business days
Campaign Localization — $740
A full, ready-to-run campaign — not just a single page. (Regularly $990)
- LP rewrite + 2 nurture emails + 3 platform-ready LinkedIn ads
- 7 business days
Japan GTM Starter Kit — $1,640
For companies about to launch. The full strategic package. (Regularly $2,190)
- Doubled assets, competitive snapshot, GTM roadmap, kickoff call
- 10 business days
*Launch pricing (25% off) on Packages B, C, and D — first 2-3 clients only.
Why Nishijin GTM, Not a Full Market-Entry Firm
You don't need a six-figure localization engagement to find out if your message lands in Japan. Full-scale Japan market entry firms are built for companies ready to commit $50K-250K+ to the market. Nishijin GTM is built for the step before that — testing your messaging fast and affordably, then deciding how far to go.
Every rewrite goes through the Nishijin Conversion Framework — restructuring your message using Japan's native persuasion structure, instead of a direct translation of the Western AIDA/PAS structure your current copy is likely built on.
Frequently Asked Questions
How is this different from just using ChatGPT or DeepL?
AI translation converts words accurately but keeps the original's persuasion structure intact. Japanese and English copy are built on different frameworks entirely — every suggestion from us focuses on how Japanese buyers actually evaluate vendors, rather than translation quality alone.
Do I need to commit to a full rewrite?
No. Most clients start with the $149 review to see if it's worth going further. There's no obligation to continue.
What if I'm not satisfied with the review?
Full refund*, no questions asked.
How fast can we get started?
The $149 review is delivered in 48 business hours. Full rewrites take 5-10 business days depending on scope.
Start Your Japan Homepage Review
Send your URL. We'll send back 3 specific things costing you trust with Japanese buyers — no strings attached.
Start My $149 Review* The full refund guarantee applies exclusively to the $149 Japan LP Quick Review. Refund requests must be submitted within 5 days of report delivery.