amazon-bestseller-launch by breverdbidder/life-os
npx skills add https://github.com/breverdbidder/life-os --skill amazon-bestseller-launch执行经过验证的 5 阶段框架,以达成 Amazon #1 畅销书地位。
Amazon 的 A10 算法根据以下指标对书籍进行排名:
| 指标 | 权重 | #1 目标 |
|---|---|---|
| 销售速度 | 40% | 24-48 小时内 50-200+ 笔销售 |
| 转化率 | 25% | >15% 页面访客 → 购买者 |
| 评论 | 20% | 前 30 天内 25+ 条评论 |
| 阅读完成率 | 10% | >70% Kindle Unlimited 页面阅读量 |
| 关键词/分类 | 5% | 在 3+ 个分类中排名前 3 |
使用“低竞争,高需求”公式选择 3 个分类:
CATEGORY_SCORE = (Monthly_Sales / #Books_in_Category) × Avg_Review_Count
目标:CATEGORY_SCORE > 500
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制胜分类标准:
Amazon 允许 7 个后台关键词(每个 50 字符)。使用以下方式优化:
PRIMARY: [主要主题] + [受众] + [益处]
SECONDARY: [问题] + [解决方案] + [格式]
LONG-TAIL: [特定利基] + [独特角度]
关键词研究工具:
□ 标题:主要关键词 + 益处(≤200 字符)
□ 副标题:次要关键词 + 具体成果
□ 描述:4,000 字符,HTML 格式,3 个行动号召
□ 作者简介:可信度 + 相关书籍 + 社会证明
□ A+ 内容:至少 5 个模块(如果已注册品牌)
□ 编辑评论:3-5 条发布前推荐
目标:50 名 ARC 读者 → 发布日获得 25+ 条评论
ARC 招募来源:
邮件 1(T-60):宣布书籍,招募评论者
邮件 2(T-45):通过 BookFunnel 发送 ARC
邮件 3(T-30):跟进,请求反馈
邮件 4(T-14):提醒准备评论
邮件 5(T-1):“评论明天上线!”
邮件 6(发布日):留下评论的直接链接
| 天数 | 累计评论数 | BSR 影响 |
|---|---|---|
| 1 | 5-10 | 进入前 10,000 名 |
| 7 | 15-20 | 进入前 1,000 名 |
| 14 | 20-25 | 稳定排名 |
| 30 | 25-50 | 长期可见性 |
| 阶段 | 电子书价格 | 目标 |
|---|---|---|
| 预购 | $0.99 | 最大化预购量 |
| 发布(第 1-3 天) | $0.99 | 销售速度 |
| 发布后(第 4-7 天) | $2.99 | 收入 + 排名 |
| 稳定期 | $4.99-9.99 | 利润率 |
预购算作第 1 天销售。策略:
最低可行发布团队:
- 50 名邮件订阅者承诺在第 1 天购买
- 25 名 ARC 评论者准备好发布评论
- 10 名社交媒体放大器(分享/发帖)
- 5 个播客/博客采访已安排
6:00 AM EST - 验证商品详情页已上线,价格正确
7:00 AM - 邮件推送 #1 至完整列表
8:00 AM - 社交媒体公告(所有平台)
10:00 AM - 通知 ARC 团队:“立即发布评论”
12:00 PM - 邮件推送 #2(未打开邮件者)
2:00 PM - 检查 BSR,如有需要则调整
4:00 PM - 社交媒体推送 #2
6:00 PM - 邮件推送 #3(最后机会 $0.99)
9:00 PM - 跟踪最终第 1 天指标
| 分类竞争程度 | 第 1 天所需销量 |
|---|---|
| 低(<1,000 本书) | 25-50 |
| 中(1,000-10,000) | 50-100 |
| 高(10,000+) | 100-200+ |
发布日每 2 小时跟踪一次:
# 关键监控指标
metrics = {
"bsr": "Best Seller Rank (越低越好)",
"category_rank": "在所选分类中的位置",
"review_count": "已发布评论总数",
"review_avg": "平均星级评分",
"also_bought": "出现在‘也购买’轮播图中"
}
□ 第 2-3 天:继续 $0.99 定价
□ 第 3 天:如果 BSR 稳定,提价至 $2.99
□ 第 4-7 天:Amazon 广告活动(ACoS 目标 <50%)
□ 每日:监控评论,回答问题
赞助商品广告活动设置:
Campaign Type: Manual targeting
Daily Budget: $20-50
Bid Strategy: Dynamic bids (down only)
Keywords: 50-100 from research
Match Types: Exact (60%), Phrase (30%), Broad (10%)
各阶段目标 ACoS:
| 阶段 | 目标 ACoS | 目标 |
|---|---|---|
| 发布(第 1 周) | 100%+ 可接受 | 可见性 |
| 增长(第 2-4 周) | 50-70% | 排名 |
| 盈利(第 2 个月起) | 30-50% | 可持续性 |
加入 KDP Select 以获得 90 天独家权益:
Countdown Deal 时机安排:
发布前(T-90 至 T-0)
□ 分类研究:已选择 3 个低竞争分类
□ 关键词:7 个后台关键词已优化
□ 商品详情页:标题、描述、A+ 内容已完成
□ ARC 活动:已招募 50 名读者,ARC 已分发
□ 发布团队:50+ 名承诺第 1 天购买者
□ 预购:已开放并推广
□ 价格:设置为 $0.99 用于发布
发布日(T-0)
□ 邮件序列:已安排 3 次推送
□ 社交媒体:所有平台帖子已安排
□ ARC 团队:已通知发布评论
□ 监控:每 2 小时跟踪 BSR
发布后(T+1 至 T+30)
□ 提价:$0.99 → $2.99 → $4.99
□ Amazon 广告:活动已上线
□ 评论:已发布 25+ 条
□ Countdown deal:已安排在 T+21 天
references/category-research.mdreferences/email-templates.mdreferences/amazon-ads.mdscripts/launch-tracker.py每周安装量
54
代码仓库
GitHub 星标
4
首次出现
2026 年 1 月 24 日
安全审计
安装于
opencode52
codex52
gemini-cli51
cursor51
kimi-cli49
github-copilot48
Execute the proven 5-phase framework for achieving Amazon #1 Bestseller status.
Amazon's A10 algorithm ranks books based on:
| Metric | Weight | Target for #1 |
|---|---|---|
| Sales Velocity | 40% | 50-200+ sales in 24-48 hours |
| Conversion Rate | 25% | >15% page visitors → buyers |
| Reviews | 20% | 25+ reviews in first 30 days |
| Read-Through | 10% | >70% Kindle Unlimited pages read |
| Keywords/Categories | 5% | Rank top 3 in 3+ categories |
Select 3 categories using the "Low Competition, High Demand" formula:
CATEGORY_SCORE = (Monthly_Sales / #Books_in_Category) × Avg_Review_Count
Target: CATEGORY_SCORE > 500
Winning Category Criteria:
Amazon allows 7 backend keywords (50 chars each). Optimize using:
PRIMARY: [main topic] + [audience] + [benefit]
SECONDARY: [problem] + [solution] + [format]
LONG-TAIL: [specific niche] + [unique angle]
Keyword Research Tools:
□ Title: Primary keyword + benefit (≤200 chars)
□ Subtitle: Secondary keywords + specific outcome
□ Description: 4,000 chars, HTML formatting, 3 CTAs
□ Author Bio: Credibility + related books + social proof
□ A+ Content: 5 modules minimum (if Brand Registered)
□ Editorial Reviews: 3-5 pre-launch endorsements
Target: 50 ARC readers → 25+ reviews by launch day
ARC Recruitment Sources:
Email 1 (T-60): Announce book, recruit reviewers
Email 2 (T-45): Send ARC via BookFunnel
Email 3 (T-30): Check-in, ask for feedback
Email 4 (T-14): Reminder to prepare review
Email 5 (T-1): "Review goes live tomorrow!"
Email 6 (Launch): Direct link to leave review
| Day | Cumulative Reviews | BSR Impact |
|---|---|---|
| 1 | 5-10 | Enter top 10,000 |
| 7 | 15-20 | Enter top 1,000 |
| 14 | 20-25 | Stabilize ranking |
| 30 | 25-50 | Long-term visibility |
| Phase | eBook Price | Goal |
|---|---|---|
| Pre-order | $0.99 | Maximize pre-orders |
| Launch (Day 1-3) | $0.99 | Sales velocity |
| Post-launch (Day 4-7) | $2.99 | Revenue + ranking |
| Steady state | $4.99-9.99 | Profit margin |
Pre-orders count as Day 1 sales. Strategy:
Minimum viable launch team:
- 50 email subscribers committed to buy Day 1
- 25 ARC reviewers ready to post reviews
- 10 social media amplifiers (shares/posts)
- 5 podcast/blog appearances scheduled
6:00 AM EST - Verify listing is live, price correct
7:00 AM - Email blast #1 to full list
8:00 AM - Social media announcement (all platforms)
10:00 AM - Notify ARC team: "POST REVIEWS NOW"
12:00 PM - Email blast #2 (non-openers)
2:00 PM - Check BSR, adjust if needed
4:00 PM - Social media push #2
6:00 PM - Email blast #3 (last chance $0.99)
9:00 PM - Track final Day 1 metrics
| Category Competitiveness | Day 1 Sales Needed |
|---|---|
| Low (<1,000 books) | 25-50 |
| Medium (1,000-10,000) | 50-100 |
| High (10,000+) | 100-200+ |
Track every 2 hours on launch day:
# Key metrics to monitor
metrics = {
"bsr": "Best Seller Rank (lower = better)",
"category_rank": "Position in chosen categories",
"review_count": "Total reviews posted",
"review_avg": "Average star rating",
"also_bought": "Appearing in 'also bought' carousels"
}
□ Day 2-3: Continue $0.99 pricing
□ Day 3: Raise to $2.99 if BSR stable
□ Day 4-7: Amazon Ads campaign (ACoS target <50%)
□ Daily: Monitor reviews, respond to questions
Sponsored Products Campaign Setup:
Campaign Type: Manual targeting
Daily Budget: $20-50
Bid Strategy: Dynamic bids (down only)
Keywords: 50-100 from research
Match Types: Exact (60%), Phrase (30%), Broad (10%)
Target ACoS by Phase:
| Phase | Target ACoS | Goal |
|---|---|---|
| Launch (Week 1) | 100%+ OK | Visibility |
| Growth (Week 2-4) | 50-70% | Ranking |
| Profit (Month 2+) | 30-50% | Sustainable |
Enroll in KDP Select for 90-day exclusivity benefits:
Countdown Deal Timing:
PRE-LAUNCH (T-90 to T-0)
□ Category research: 3 low-competition categories selected
□ Keywords: 7 backend keywords optimized
□ Listing: Title, description, A+ content complete
□ ARC campaign: 50 readers recruited, ARCs distributed
□ Launch team: 50+ committed Day 1 buyers
□ Pre-orders: Open and promoted
□ Price: Set to $0.99 for launch
LAUNCH DAY (T-0)
□ Email sequence: 3 blasts scheduled
□ Social media: Posts scheduled all platforms
□ ARC team: Notified to post reviews
□ Monitoring: BSR tracked every 2 hours
POST-LAUNCH (T+1 to T+30)
□ Price increase: $0.99 → $2.99 → $4.99
□ Amazon Ads: Campaigns live
□ Reviews: 25+ posted
□ Countdown deal: Scheduled for T+21
references/category-research.mdreferences/email-templates.mdreferences/amazon-ads.mdscripts/launch-tracker.pyWeekly Installs
54
Repository
GitHub Stars
4
First Seen
Jan 24, 2026
Security Audits
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Installed on
opencode52
codex52
gemini-cli51
cursor51
kimi-cli49
github-copilot48
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