# Amazon 热销与趋势侦察 实时追踪 Amazon 的热搜、新品与上升类目，在产品饱和前发现趋势——抢先锁定蓝海机会。 ## 命令 `` hot products # scan trending products across categories hot search [category] # analyze hot search terms in category hot new releases [category] # find new releases with early traction hot movers [category] # find products with rapid BSR improvement hot seasonal # identify upcoming seasonal trends hot compare [cat1] [cat2] # compare trend momentum between categories hot report # generate weekly trend report hot save [opportunity] # save a trend opportunity to memory `` ## 需要提供的数据 - 类目 —— 宽泛（如 Electronics）或细分（如 Wireless Earbuds） - BSR 数据 —— 如有，请粘贴 BSR 排名 - 搜索词数据 —— 来自 Seller Central 的 trending search terms - 时间范围 —— 最近 7/30/90 天 - 市场 —— US、UK、DE、JP 等 无需 API key，口头提供或直接粘贴原始数据即可。 ## 趋势识别框架 ### 信号 1：搜索量激增 - 搜索词出现在 Amazon “热门新关键词”（Seller Central Brand Analytics） - 周环比搜索量增长 >20% - 当前竞争低（精确匹配结果少于 1,000） ### 信号 2：BSR 速度 | BSR 变动 | 信号强度 | |---|---| | 30 天内 BSR 提升 >50% | 🔥 强 | | 30 天内 BSR 提升 20–50% | ✅ 中 | | BSR 稳定 | ⚪ 中性 | | BSR 下滑 | ❌ 回避 | ### 信号 3：评论积累速度 - 新品 60 天内评论数达 50+ = 高需求信号 - 多家竞品同时上架 = 类目升温 ### 信号 4：季节日历 | 月份 | 热门类目 | |---|---| | 1–2 月 | 健身、收纳、新年 | | 3–4 月 | 户外、园艺、春季清洁 | | 5–6 月 | 毕业、父亲节、夏季 | | 7–8 月 | 返校、泳池/海滩 | | 9–10 月 | 万圣节、秋季家居 | | 11–12 月 | 节日礼品、节日装饰 | ## 蓝海评分（1–10） 对每个趋势机会打分： - 需求（1–3）：搜索量趋势方向 - 竞争（1–3）：卖家数量、评论数、 listing 质量 - 利润（1–2）：预估售价 vs. 可能 COGS - 差异化（1–2）：能否在现有产品上改进？ 评分 7+ = 积极进入 评分 5–6 = 谨慎进入，需差异化 评分 <5 = 跳过或观望 ## 输出格式 1. 趋势机会 —— 按蓝海评分排序的列表 2. 类目热度图 —— 哪些类目在升温/降温 3. 早期入场窗口 —— 评论<200 但 BSR 上升的产品 4. 回避清单 —— 已饱和的趋势（进入无利可图） 5. 30 天观察清单 —— 下次扫描前需监控的机会 ## 规则 1. 在称一个趋势为“早期”前务必检查评论数——评论>500 不算早期 2. 标记退货率高的类目（electronics、clothing 等） 3. 区分“短暂流行”与“持续增长”——前者是 fad，后者是 trend 4. 注明季节性高峰是否临近——时机至关重要 5. 必须结合预估利润率看趋势——需求再大利润薄也白搭
Track Amazon's real-time hot searches, new releases, and rising categories. Spot trending products before they become saturated — find blue ocean opportunities early.
Commands
hot products # scan trending products across categories
hot search [category] # analyze hot search terms in category
hot new releases [category] # find new releases with early traction
hot movers [category] # find products with rapid BSR improvement
hot seasonal # identify upcoming seasonal trends
hot compare [cat1] [cat2] # compare trend momentum between categories
hot report # generate weekly trend report
hot save [opportunity] # save a trend opportunity to memory
What Data to Provide
- Category — broad (Electronics) or specific (Wireless Earbuds)
- BSR data — paste BSR rankings if you have them
- Search term data — trending search terms from Seller Central
- Time period — last 7/30/90 days
- Market — US, UK, DE, JP, etc.
No API key needed. Provide data verbally or paste raw numbers.
Trend Identification Framework
Signal 1: Search Volume Surge
- Search term appears in Amazon's "Hot New Keywords" (from Seller Central Brand Analytics)
- Week-over-week search volume growth >20%
- Low current competition (fewer than 1,000 results for exact match)
Signal 2: BSR Velocity
| BSR Movement | Signal Strength |
|---|
| BSR improved >50% in 30 days | 🔥 Strong |
| BSR improved 20–50% in 30 days | ✅ Moderate |
| BSR stable | ⚪ Neutral |
| BSR declining | ❌ Avoid |
Signal 3: Review Accumulation Rate
- New products getting 50+ reviews in first 60 days = high demand signal
- Multiple competitors launching simultaneously = category heating up
Signal 4: Seasonal Calendar
| Month | Trending Categories |
|---|
| Jan–Feb | Fitness, Organization, New Year |
| Mar–Apr | Outdoor, Garden, Spring Cleaning |
| May–Jun | Graduation, Father's Day, Summer |
| Jul–Aug | Back to School, Pool/Beach |
| Sep–Oct | Halloween, Fall Home |
| Nov–Dec | Holiday Gifts, Holiday Decor |
Blue Ocean Score (1–10)
Score each trending product opportunity:
- Demand (1–3): Search volume trend direction
- Competition (1–3): # of sellers, review counts, listing quality
- Margin (1–2): Estimated price point vs. likely COGS
- Differentiation (1–2): Can you improve on existing products?
Score 7+ = Enter aggressively
Score 5–6 = Enter cautiously with differentiation
Score <5 = Skip or monitor
Output Format
- Trending Opportunities — ranked list with Blue Ocean Score
- Category Heat Map — which categories are rising vs. cooling
- Early Entry Windows — products with <200 reviews but rising BSR
- Avoid List — saturated trends (too late to enter profitably)
- 30-Day Watch List — opportunities to monitor for next scan
Rules
- Always check review count before calling a trend "early" — >500 reviews = not early
- Flag categories with known high return rates (electronics, clothing)
- Distinguish between fad (short spike) and trend (sustained growth)
- Note when seasonal peaks are approaching — timing matters
- Always pair trend data with estimated margin — demand means nothing if margins are thin
by