西柚洞察关键词分析登录

美国站

rnn

rnn

关键词概览

周搜索量
120
环比 -4.76%
ABA排名
1,397,812
较上周 ↓56,921名
CPC建议竞价($)
0.63
范围 0.49–0.78
点击转化率
-
关键词全周期转化率
自然位滚动率
1.4中
广告位竞争难度
39简单
指标说明
关键词下自然位 ASIN 的滚动频率。数值越大,排名变动越频繁;数值越小,排名越稳定。每周一更新。
根据关键词搜索量、竞争度和广告竞争度综合计算。分数越高,竞争越激烈。每周一更新。
基于关键词竞争度、点击率和转化率计算的参考出价。建议区间不保证曝光效果,悬浮曲线可查看每周竞价及区间。
点击转化率

点击转化率表示该关键词下,所有 ASIN(并非仅限于反查 ASIN)的平均点击出单转化率。
该数据由西柚团队基于亚马逊商机探测器提供的关键词 24 小时转化率,结合千亿级数据与自研算法,计算得出每个关键词的 全周期转化率。

⚠️ 市面上不少工具仅展示商机探测器中的 24 小时转化率数据。由于统计口径仅覆盖点击后 24 小时内的转化行为,这类数据在用户决策周期较长的商品场景中存在明显偏差,难以还原关键词在真实销售周期内的转化效果。
西柚的全周期转化率通过数据还原与算法修正,全面覆盖不同商品类型的转化特征,能更准确支持选品判断、流量评估及广告投放策略制定。

**由于商机探测器覆盖的关键词不全,大概只有 20% 的关键词有点击转化率数据

周搜索量趋势

最新值
120
趋势数据见下方明细
查看公开周数据
周搜索量趋势公开周数据
日期周搜索量
2023-12-31 ~ 2024-01-06—
2024-01-07 ~ 2024-01-13—
2024-01-14 ~ 2024-01-20—
2024-01-21 ~ 2024-01-27—
2024-01-28 ~ 2024-02-03—
2024-02-04 ~ 2024-02-10—
2024-02-11 ~ 2024-02-17—
2024-02-18 ~ 2024-02-24—
2024-02-25 ~ 2024-03-02—
2024-03-03 ~ 2024-03-09—
2024-03-10 ~ 2024-03-16—
2024-03-17 ~ 2024-03-23—
2024-03-24 ~ 2024-03-30—
2024-03-31 ~ 2024-04-06—
2024-04-07 ~ 2024-04-13—
2024-04-14 ~ 2024-04-20—
2024-04-21 ~ 2024-04-27—
2024-04-28 ~ 2024-05-04—
2024-05-05 ~ 2024-05-11—
2024-05-12 ~ 2024-05-18—
2024-05-19 ~ 2024-05-25—
2024-05-26 ~ 2024-06-01—
2024-06-02 ~ 2024-06-08—
2024-06-09 ~ 2024-06-15—
2024-06-16 ~ 2024-06-22—
2024-06-23 ~ 2024-06-29—
2024-06-30 ~ 2024-07-06—
2024-07-07 ~ 2024-07-13—
2024-07-14 ~ 2024-07-20—
2024-07-21 ~ 2024-07-27—
2024-07-28 ~ 2024-08-03—
2024-08-04 ~ 2024-08-10—
2024-08-11 ~ 2024-08-17—
2024-08-18 ~ 2024-08-24—
2024-08-25 ~ 2024-08-31—
2024-09-01 ~ 2024-09-07—
2024-09-08 ~ 2024-09-14—
2024-09-15 ~ 2024-09-21—
2024-09-22 ~ 2024-09-28—
2024-09-29 ~ 2024-10-05—
2024-10-06 ~ 2024-10-12—
2024-10-13 ~ 2024-10-19—
2024-10-20 ~ 2024-10-26—
2024-10-27 ~ 2024-11-02—
2024-11-03 ~ 2024-11-09—
2024-11-10 ~ 2024-11-16—
2024-11-17 ~ 2024-11-23—
2024-11-24 ~ 2024-11-30—
2024-12-01 ~ 2024-12-07—
2024-12-08 ~ 2024-12-14—
2024-12-15 ~ 2024-12-21—
2024-12-22 ~ 2024-12-28—
2024-12-29 ~ 2025-01-04—
2025-01-05 ~ 2025-01-11—
2025-01-12 ~ 2025-01-18—
2025-01-19 ~ 2025-01-25—
2025-01-26 ~ 2025-02-01—
2025-02-02 ~ 2025-02-08—
2025-02-09 ~ 2025-02-15—
2025-02-16 ~ 2025-02-22—
2025-02-23 ~ 2025-03-01—
2025-03-02 ~ 2025-03-08—
2025-03-09 ~ 2025-03-15—
2025-03-16 ~ 2025-03-22—
2025-03-23 ~ 2025-03-29—
2025-03-30 ~ 2025-04-05—
2025-04-06 ~ 2025-04-12—
2025-04-13 ~ 2025-04-19—
2025-04-20 ~ 2025-04-26—
2025-04-27 ~ 2025-05-03—
2025-05-04 ~ 2025-05-10—
2025-05-11 ~ 2025-05-17—
2025-05-18 ~ 2025-05-24—
2025-05-25 ~ 2025-05-31—
2025-06-01 ~ 2025-06-07—
2025-06-08 ~ 2025-06-14—
2025-06-15 ~ 2025-06-21—
2025-06-22 ~ 2025-06-28—
2025-06-29 ~ 2025-07-05—
2025-07-06 ~ 2025-07-12—
2025-07-13 ~ 2025-07-19—
2025-07-20 ~ 2025-07-26—
2025-07-27 ~ 2025-08-02—
2025-08-03 ~ 2025-08-09—
2025-08-10 ~ 2025-08-16—
2025-08-17 ~ 2025-08-23—
2025-08-24 ~ 2025-08-30—
2025-08-31 ~ 2025-09-06—
2025-09-07 ~ 2025-09-13—
2025-09-14 ~ 2025-09-20—
2025-09-21 ~ 2025-09-27—
2025-09-28 ~ 2025-10-04—
2025-10-05 ~ 2025-10-11—
2025-10-12 ~ 2025-10-18—
2025-10-19 ~ 2025-10-25—
2025-10-26 ~ 2025-11-01—
2025-11-02 ~ 2025-11-08—
2025-11-09 ~ 2025-11-15—
2025-11-16 ~ 2025-11-22—
2025-11-23 ~ 2025-11-29—
2025-11-30 ~ 2025-12-06—
2025-12-07 ~ 2025-12-13—
2025-12-14 ~ 2025-12-20—
2025-12-21 ~ 2025-12-27—
2025-12-28 ~ 2026-01-03—
2026-01-04 ~ 2026-01-10—
2026-01-11 ~ 2026-01-17—
2026-01-18 ~ 2026-01-24—
2026-01-25 ~ 2026-01-31—
2026-02-01 ~ 2026-02-07—
2026-02-08 ~ 2026-02-14—
2026-02-15 ~ 2026-02-21—
2026-02-22 ~ 2026-02-28—
2026-03-01 ~ 2026-03-07—
2026-03-08 ~ 2026-03-14—
2026-03-15 ~ 2026-03-21—
2026-03-22 ~ 2026-03-28—
2026-03-29 ~ 2026-04-04—
2026-04-05 ~ 2026-04-11—
2026-04-12 ~ 2026-04-18—
2026-04-19 ~ 2026-04-25—
2026-04-26 ~ 2026-05-02—
2026-05-03 ~ 2026-05-09—
2026-05-10 ~ 2026-05-16—
2026-05-17 ~ 2026-05-23—
2026-05-24 ~ 2026-05-30—
2026-05-31 ~ 2026-06-06—
2026-06-07 ~ 2026-06-13—
2026-06-14 ~ 2026-06-20—
2026-06-21 ~ 2026-06-27—
2026-06-28 ~ 2026-07-04—
2026-07-05 ~ 2026-07-11—
2026-07-12 ~ 2026-07-18—
2026-07-19 ~ 2026-07-25—
2026-07-26 ~ 2026-08-01—
2026-08-02 ~ 2026-08-08—
2026-08-09 ~ 2026-08-15—
2026-08-16 ~ 2026-08-22—
2026-08-23 ~ 2026-08-29—
2026-08-30 ~ 2026-09-05—
2026-09-06 ~ 2026-09-12—
2026-09-13 ~ 2026-09-19—
2026-09-20 ~ 2026-09-26—
2026-09-27 ~ 2026-10-03—
2026-10-04 ~ 2026-10-10—
2026-10-11 ~ 2026-10-17—
2026-10-18 ~ 2026-10-2445
2026-10-25 ~ 2026-10-31126
2026-11-01 ~ 2026-11-07120

关键词下的ASIN

商品订单表现

此关键词出现在前3页的 ASIN 共 90 个

按关键词流量降序预览前 5 个,先看商品订单表现。

订单为商品近30天整体订单量,非该关键词带来的订单。

rnn 公开竞争商品,按流量降序
竞争商品近30天订单量及价格关键词流量(近7天)
<50价格 $24.99 126 流量占比 6.52% 126环比 +250.00% 6.52% 100.00% 0.00% 1 —
<50价格 $19.99 117 流量占比 6.06% 117环比 +244.12% 6.06% 92.95% 0.00% 2 —
3
6209883915 反查关键词 ↗
<50价格 $87.00 108 流量占比 5.59% 108环比 +260.00% 5.59% 85.16% 0.00% 3 —
4
9391392571 反查关键词 ↗
<50价格 $31.78 102 流量占比 5.28% 102环比 +628.57% 5.28% 79.35% 0.00% 5 —
5
B08K58XGMB 反查关键词 ↗
<50价格 $0.00 96 流量占比 4.97% 96环比 +200.00% 4.97% 75.39% 0.00% 4 —

还有 70 个 ASIN 待探索

免费注册查看完整列表并使用筛选,比较更多商品的订单表现

关键词ABA排名趋势

最新值
1,397,812
趋势数据见下方明细
查看公开周数据
关键词ABA排名趋势公开周数据
日期ABA排名
2023-12-31 ~ 2024-01-06—
2024-01-07 ~ 2024-01-13—
2024-01-14 ~ 2024-01-20—
2024-01-21 ~ 2024-01-27—
2024-01-28 ~ 2024-02-03—
2024-02-04 ~ 2024-02-10—
2024-02-11 ~ 2024-02-17—
2024-02-18 ~ 2024-02-24—
2024-02-25 ~ 2024-03-02—
2024-03-03 ~ 2024-03-09—
2024-03-10 ~ 2024-03-16—
2024-03-17 ~ 2024-03-23—
2024-03-24 ~ 2024-03-30—
2024-03-31 ~ 2024-04-06—
2024-04-07 ~ 2024-04-13—
2024-04-14 ~ 2024-04-20—
2024-04-21 ~ 2024-04-27—
2024-04-28 ~ 2024-05-04—
2024-05-05 ~ 2024-05-11—
2024-05-12 ~ 2024-05-18—
2024-05-19 ~ 2024-05-25—
2024-05-26 ~ 2024-06-01—
2024-06-02 ~ 2024-06-08—
2024-06-09 ~ 2024-06-15—
2024-06-16 ~ 2024-06-22—
2024-06-23 ~ 2024-06-29—
2024-06-30 ~ 2024-07-06—
2024-07-07 ~ 2024-07-13—
2024-07-14 ~ 2024-07-20—
2024-07-21 ~ 2024-07-27—
2024-07-28 ~ 2024-08-03—
2024-08-04 ~ 2024-08-10—
2024-08-11 ~ 2024-08-17—
2024-08-18 ~ 2024-08-24—
2024-08-25 ~ 2024-08-31—
2024-09-01 ~ 2024-09-07—
2024-09-08 ~ 2024-09-14—
2024-09-15 ~ 2024-09-21—
2024-09-22 ~ 2024-09-28—
2024-09-29 ~ 2024-10-05—
2024-10-06 ~ 2024-10-12—
2024-10-13 ~ 2024-10-19—
2024-10-20 ~ 2024-10-26—
2024-10-27 ~ 2024-11-02—
2024-11-03 ~ 2024-11-09—
2024-11-10 ~ 2024-11-16—
2024-11-17 ~ 2024-11-23—
2024-11-24 ~ 2024-11-30—
2024-12-01 ~ 2024-12-07—
2024-12-08 ~ 2024-12-14—
2024-12-15 ~ 2024-12-21—
2024-12-22 ~ 2024-12-28—
2024-12-29 ~ 2025-01-04—
2025-01-05 ~ 2025-01-11—
2025-01-12 ~ 2025-01-18—
2025-01-19 ~ 2025-01-25—
2025-01-26 ~ 2025-02-01—
2025-02-02 ~ 2025-02-08—
2025-02-09 ~ 2025-02-15—
2025-02-16 ~ 2025-02-22—
2025-02-23 ~ 2025-03-01—
2025-03-02 ~ 2025-03-08—
2025-03-09 ~ 2025-03-15—
2025-03-16 ~ 2025-03-22—
2025-03-23 ~ 2025-03-29—
2025-03-30 ~ 2025-04-05—
2025-04-06 ~ 2025-04-12—
2025-04-13 ~ 2025-04-19—
2025-04-20 ~ 2025-04-26—
2025-04-27 ~ 2025-05-03—
2025-05-04 ~ 2025-05-10—
2025-05-11 ~ 2025-05-17—
2025-05-18 ~ 2025-05-24—
2025-05-25 ~ 2025-05-31—
2025-06-01 ~ 2025-06-07—
2025-06-08 ~ 2025-06-14—
2025-06-15 ~ 2025-06-21—
2025-06-22 ~ 2025-06-28—
2025-06-29 ~ 2025-07-05—
2025-07-06 ~ 2025-07-12—
2025-07-13 ~ 2025-07-19—
2025-07-20 ~ 2025-07-26—
2025-07-27 ~ 2025-08-02—
2025-08-03 ~ 2025-08-09—
2025-08-10 ~ 2025-08-16—
2025-08-17 ~ 2025-08-23—
2025-08-24 ~ 2025-08-30—
2025-08-31 ~ 2025-09-06—
2025-09-07 ~ 2025-09-13—
2025-09-14 ~ 2025-09-20—
2025-09-21 ~ 2025-09-27—
2025-09-28 ~ 2025-10-04—
2025-10-05 ~ 2025-10-11—
2025-10-12 ~ 2025-10-18—
2025-10-19 ~ 2025-10-25—
2025-10-26 ~ 2025-11-01—
2025-11-02 ~ 2025-11-08—
2025-11-09 ~ 2025-11-15—
2025-11-16 ~ 2025-11-22—
2025-11-23 ~ 2025-11-29—
2025-11-30 ~ 2025-12-06—
2025-12-07 ~ 2025-12-13—
2025-12-14 ~ 2025-12-20—
2025-12-21 ~ 2025-12-27—
2025-12-28 ~ 2026-01-03—
2026-01-04 ~ 2026-01-10—
2026-01-11 ~ 2026-01-17—
2026-01-18 ~ 2026-01-24—
2026-01-25 ~ 2026-01-31—
2026-02-01 ~ 2026-02-07—
2026-02-08 ~ 2026-02-14—
2026-02-15 ~ 2026-02-21—
2026-02-22 ~ 2026-02-28—
2026-03-01 ~ 2026-03-07—
2026-03-08 ~ 2026-03-14—
2026-03-15 ~ 2026-03-21—
2026-03-22 ~ 2026-03-28—
2026-03-29 ~ 2026-04-04—
2026-04-05 ~ 2026-04-11—
2026-04-12 ~ 2026-04-18—
2026-04-19 ~ 2026-04-25—
2026-04-26 ~ 2026-05-02—
2026-05-03 ~ 2026-05-09—
2026-05-10 ~ 2026-05-16—
2026-05-17 ~ 2026-05-23—
2026-05-24 ~ 2026-05-30—
2026-05-31 ~ 2026-06-06—
2026-06-07 ~ 2026-06-13—
2026-06-14 ~ 2026-06-20—
2026-06-21 ~ 2026-06-27—
2026-06-28 ~ 2026-07-04—
2026-07-05 ~ 2026-07-11—
2026-07-12 ~ 2026-07-18—
2026-07-19 ~ 2026-07-25—
2026-07-26 ~ 2026-08-01—
2026-08-02 ~ 2026-08-08—
2026-08-09 ~ 2026-08-15—
2026-08-16 ~ 2026-08-22—
2026-08-23 ~ 2026-08-29—
2026-08-30 ~ 2026-09-05—
2026-09-06 ~ 2026-09-12—
2026-09-13 ~ 2026-09-19—
2026-09-20 ~ 2026-09-26—
2026-09-27 ~ 2026-10-03—
2026-10-04 ~ 2026-10-10—
2026-10-11 ~ 2026-10-17—
2026-10-18 ~ 2026-10-242,848,230
2026-10-25 ~ 2026-10-311,340,891
2026-11-01 ~ 2026-11-071,397,812

广告位竞争难度趋势

最新值
39
趋势数据见下方明细
查看公开周数据
广告位竞争难度趋势公开周数据
日期竞争难度
2023-12-31 ~ 2024-01-06—
2024-01-07 ~ 2024-01-13—
2024-01-14 ~ 2024-01-20—
2024-01-21 ~ 2024-01-27—
2024-01-28 ~ 2024-02-03—
2024-02-04 ~ 2024-02-10—
2024-02-11 ~ 2024-02-17—
2024-02-18 ~ 2024-02-24—
2024-02-25 ~ 2024-03-02—
2024-03-03 ~ 2024-03-09—
2024-03-10 ~ 2024-03-16—
2024-03-17 ~ 2024-03-23—
2024-03-24 ~ 2024-03-30—
2024-03-31 ~ 2024-04-06—
2024-04-07 ~ 2024-04-13—
2024-04-14 ~ 2024-04-20—
2024-04-21 ~ 2024-04-27—
2024-04-28 ~ 2024-05-04—
2024-05-05 ~ 2024-05-11—
2024-05-12 ~ 2024-05-18—
2024-05-19 ~ 2024-05-25—
2024-05-26 ~ 2024-06-01—
2024-06-02 ~ 2024-06-08—
2024-06-09 ~ 2024-06-15—
2024-06-16 ~ 2024-06-22—
2024-06-23 ~ 2024-06-29—
2024-06-30 ~ 2024-07-06—
2024-07-07 ~ 2024-07-13—
2024-07-14 ~ 2024-07-20—
2024-07-21 ~ 2024-07-27—
2024-07-28 ~ 2024-08-03—
2024-08-04 ~ 2024-08-10—
2024-08-11 ~ 2024-08-17—
2024-08-18 ~ 2024-08-24—
2024-08-25 ~ 2024-08-31—
2024-09-01 ~ 2024-09-07—
2024-09-08 ~ 2024-09-14—
2024-09-15 ~ 2024-09-21—
2024-09-22 ~ 2024-09-28—
2024-09-29 ~ 2024-10-05—
2024-10-06 ~ 2024-10-12—
2024-10-13 ~ 2024-10-19—
2024-10-20 ~ 2024-10-26—
2024-10-27 ~ 2024-11-02—
2024-11-03 ~ 2024-11-09—
2024-11-10 ~ 2024-11-16—
2024-11-17 ~ 2024-11-23—
2024-11-24 ~ 2024-11-30—
2024-12-01 ~ 2024-12-07—
2024-12-08 ~ 2024-12-14—
2024-12-15 ~ 2024-12-21—
2024-12-22 ~ 2024-12-28—
2024-12-29 ~ 2025-01-04—
2025-01-05 ~ 2025-01-11—
2025-01-12 ~ 2025-01-18—
2025-01-19 ~ 2025-01-25—
2025-01-26 ~ 2025-02-01—
2025-02-02 ~ 2025-02-08—
2025-02-09 ~ 2025-02-15—
2025-02-16 ~ 2025-02-22—
2025-02-23 ~ 2025-03-01—
2025-03-02 ~ 2025-03-08—
2025-03-09 ~ 2025-03-15—
2025-03-16 ~ 2025-03-22—
2025-03-23 ~ 2025-03-29—
2025-03-30 ~ 2025-04-05—
2025-04-06 ~ 2025-04-12—
2025-04-13 ~ 2025-04-19—
2025-04-20 ~ 2025-04-26—
2025-04-27 ~ 2025-05-03—
2025-05-04 ~ 2025-05-10—
2025-05-11 ~ 2025-05-17—
2025-05-18 ~ 2025-05-24—
2025-05-25 ~ 2025-05-31—
2025-06-01 ~ 2025-06-07—
2025-06-08 ~ 2025-06-14—
2025-06-15 ~ 2025-06-21—
2025-06-22 ~ 2025-06-28—
2025-06-29 ~ 2025-07-05—
2025-07-06 ~ 2025-07-12—
2025-07-13 ~ 2025-07-19—
2025-07-20 ~ 2025-07-26—
2025-07-27 ~ 2025-08-02—
2025-08-03 ~ 2025-08-09—
2025-08-10 ~ 2025-08-16—
2025-08-17 ~ 2025-08-23—
2025-08-24 ~ 2025-08-30—
2025-08-31 ~ 2025-09-06—
2025-09-07 ~ 2025-09-13—
2025-09-14 ~ 2025-09-20—
2025-09-21 ~ 2025-09-27—
2025-09-28 ~ 2025-10-04—
2025-10-05 ~ 2025-10-11—
2025-10-12 ~ 2025-10-18—
2025-10-19 ~ 2025-10-25—
2025-10-26 ~ 2025-11-01—
2025-11-02 ~ 2025-11-08—
2025-11-09 ~ 2025-11-15—
2025-11-16 ~ 2025-11-22—
2025-11-23 ~ 2025-11-29—
2025-11-30 ~ 2025-12-06—
2025-12-07 ~ 2025-12-13—
2025-12-14 ~ 2025-12-20—
2025-12-21 ~ 2025-12-27—
2025-12-28 ~ 2026-01-03—
2026-01-04 ~ 2026-01-10—
2026-01-11 ~ 2026-01-17—
2026-01-18 ~ 2026-01-24—
2026-01-25 ~ 2026-01-31—
2026-02-01 ~ 2026-02-07—
2026-02-08 ~ 2026-02-14—
2026-02-15 ~ 2026-02-21—
2026-02-22 ~ 2026-02-28—
2026-03-01 ~ 2026-03-07—
2026-03-08 ~ 2026-03-14—
2026-03-15 ~ 2026-03-21—
2026-03-22 ~ 2026-03-28—
2026-03-29 ~ 2026-04-04—
2026-04-05 ~ 2026-04-11—
2026-04-12 ~ 2026-04-18—
2026-04-19 ~ 2026-04-25—
2026-04-26 ~ 2026-05-02—
2026-05-03 ~ 2026-05-09—
2026-05-10 ~ 2026-05-16—
2026-05-17 ~ 2026-05-23—
2026-05-24 ~ 2026-05-30—
2026-05-31 ~ 2026-06-06—
2026-06-07 ~ 2026-06-13—
2026-06-14 ~ 2026-06-20—
2026-06-21 ~ 2026-06-27—
2026-06-28 ~ 2026-07-04—
2026-07-05 ~ 2026-07-11—
2026-07-12 ~ 2026-07-18—
2026-07-19 ~ 2026-07-25—
2026-07-26 ~ 2026-08-01—
2026-08-02 ~ 2026-08-08—
2026-08-09 ~ 2026-08-15—
2026-08-16 ~ 2026-08-22—
2026-08-23 ~ 2026-08-29—
2026-08-30 ~ 2026-09-05—
2026-09-06 ~ 2026-09-12—
2026-09-13 ~ 2026-09-19—
2026-09-20 ~ 2026-09-26—
2026-09-27 ~ 2026-10-03—
2026-10-04 ~ 2026-10-10—
2026-10-11 ~ 2026-10-17—
2026-10-18 ~ 2026-10-24—
2026-10-25 ~ 2026-10-31—
2026-11-01 ~ 2026-11-0739

近14天搜索结果ASIN数量

90

近14天出现的ASIN数 / 最近一次抓取的位数

自然
54 / 29
SP
13 / 3
SB
13 / 11
SBV
10 / 5
AC
0
OOR
0
SOR
0
关键词分析
历史流量分析
广告放映机
自然放映机
广告金主榜
对关键词整体数据进行评分:
关键词ABA排名
1,397,812
56,921
周搜索量
120
-4.76%
近14天搜索结果ASIN数量近14天搜索结果ASIN数量说明
90
自然:54/29
SP:13/3
SB:13/11
SBV:10/5
AC:0
OOR:0
SOR:0
近30天订单量分布
0-100
88%
100-200
3%
200-500
6%
500-1000
1%
1000-2000
1%
2000-3000
0%
3000-4000
1%
4000-5000
0%
5000-10000
0%
10000+
0%
价格分布($)价格分布($)说明
价格分布($)
0-1
21%
1-2
1%
2-3
3%
3-4
6%
4-5
0%
5-6
0%
6-7
0%
7-8
1%
8-9
0%
9-10
2%
Rating数量分布
0-100
73%
100-500
9%
500-1000
2%
1000-2000
0%
2000-5000
4%
5000-10000
11%
10000+
0%
Rating评分分布Rating评分分布说明
小于3颗星
评分分布
2.7
0%
2.6
0%
2.0-2.5
0%
1.5-1.9
0%
1.0-1.4
0%
0.0-0.9
49%

ASIN自然流量分档

功能解析
对ASIN自然流量分档功能进行评分:
统计时间:2026-11-11 | 对比2026-11-10
档位
第一档 ASIN
序号ASIN档位变化
1
Runner
Runner
$ 24.994.5(382)
-档位无变化
0.00%
2
The Running Man
The Running Man
$ 19.994.3(2,360)
-档位无变化
0.00%
3
Manuale completo sul deep learning: CNN, RNN e modelli generativi (Italian Edition)
Manuale completo sul deep learning: CNN, RNN e modelli generativi (Italian Edition)
-
-档位无变化
0.00%
4
RNN Group Podcast
RNN Group Podcast
-
-档位无变化
0.00%
5
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)
$ 31.784.4(65)
-档位无变化
0.00%
6
ANN RNN LSTM and Transformers : A Practical Guide to Deep Learning, Neural Networks, Sequence Modeling, NLP, and Transformer Architectures
ANN RNN LSTM and Transformers : A Practical Guide to Deep Learning, Neural Networks, Sequence Modeling, NLP, and Transformer Architectures
-
-档位无变化
0.00%
7
RNNs e LSTMs (Portuguese Edition)
RNNs e LSTMs (Portuguese Edition)
-
-档位无变化
+14.90%
8
AI One - RNNs, LSTMs e GRUs: Aprendera redes neurais sequênciais do zero (AI - One Livro 6) (Portuguese Edition)
AI One - RNNs, LSTMs e GRUs: Aprendera redes neurais sequênciais do zero (AI - One Livro 6) (Portuguese Edition)
-
-档位无变化
+28.92%
9
RNN Cast
RNN Cast
-
-档位无变化
-4.52%
10
RNN Political Debates
RNN Political Debates
-
-档位无变化
-4.18%
11
G Kentei Maruanki kara Nukedasu Sankosho: Nita AI Yogo wo Zukai to Gutairei de Miwakeru AI Shikaku Gokaku no Kyoshitsu (Japanese Edition)
G Kentei Maruanki kara Nukedasu Sankosho: Nita AI Yogo wo Zukai to Gutairei de Miwakeru AI Shikaku Gokaku no Kyoshitsu (Japanese Edition)
-
-档位无变化
0.00%
12
R.E.M. By MTV
R.E.M. By MTV
-
-档位无变化
0.00%
13
From RNNs to Transformers : Architectural Evolution in Natural Language Processing
From RNNs to Transformers : Architectural Evolution in Natural Language Processing
-
-档位无变化
0.00%
14
R.M.N.
R.M.N.
$ 3.994.3(9)
-档位无变化
0.00%
15
Deep Learning for Energy Forecasting: From RNNs to Transformers: Building Production-Ready Forecasters (Power Systems)
Deep Learning for Energy Forecasting: From RNNs to Transformers: Building Production-Ready Forecasters (Power Systems)
-
昨天无档位,今天第1档
+9999.99%
16
Excelでわかるディープラーニング超入門【RNN・DQN編】
Excelでわかるディープラーニング超入門【RNN・DQN編】
$ 72.904.0(25)
-档位无变化
0.00%

近7天异动ASIN榜单

对近7天异动ASIN榜单功能进行评分:
近7天档位上升榜
序号ASIN近7天变动历史
1
R.M.N.
R.M.N.
$ 3.994.3(9)
+9999.99%
2
Excelでわかるディープラーニング超入門【RNN・DQN編】
Excelでわかるディープラーニング超入門【RNN・DQN編】
$ 72.904.0(25)
+191.60%
3
R. Kelly: The Verdict
R. Kelly: The Verdict
-
+9999.99%
4
Deep Learning for Energy Forecasting: From RNNs to Transformers: Building Production-Ready Forecasters (Power Systems)
Deep Learning for Energy Forecasting: From RNNs to Transformers: Building Production-Ready Forecasters (Power Systems)
-
+152.13%
5
Ho Javey Je Pyaar
Ho Javey Je Pyaar
-
+9999.99%
6
Guide complet du deep learning : réseaux convolutifs (CNN), réseaux récurrents (RNN) et modèles génératifs (French Edition)
Guide complet du deep learning : réseaux convolutifs (CNN), réseaux récurrents (RNN) et modèles génératifs (French Edition)
-
+264.41%
7
OSCOLA Ireland by R??n??n Kennedy (2016-08-19)
OSCOLA Ireland by R??n??n Kennedy (2016-08-19)
-
+248.08%
8
Rocky Ros Muc: Se??n ?? Mainn??n by R??n??n Mac Con Iomaire (2013-08-06)
Rocky Ros Muc: Se??n ?? Mainn??n by R??n??n Mac Con Iomaire (2013-08-06)
-
+246.76%
9
Introduction to Supervised Learning : A Beginner's Guide to Predictive Modeling with Labeled Data
Introduction to Supervised Learning : A Beginner's Guide to Predictive Modeling with Labeled Data
-
+209.00%
10
From Lending to Learning: The Development and Extension of Public Libraries (Chandos Information Professional Series)
From Lending to Learning: The Development and Extension of Public Libraries (Chandos Information Professional Series)
-
+245.53%
11
Fad? Fad?: More Tales of Lesser-Known Irish History by R?n?n Gear?id ? Domhnaill (2015-03-10)
Fad? Fad?: More Tales of Lesser-Known Irish History by R?n?n Gear?id ? Domhnaill (2015-03-10)
-
+244.38%
12
The Re-Creation of History: Narrative Constructions in the African-American Neo-Slave Narrative
The Re-Creation of History: Narrative Constructions in the African-American Neo-Slave Narrative
-
+243.31%

ASIN列表

自定义
此关键词出现过在前3页的ASIN有90个
每小时抓取搜索排名
添加ASIN收藏
添加多ASIN收藏
流量趋势
小时趋势
每日趋势
多ASIN对比
批量复制
自定义列
已展示 20 个 ASIN,还有 70 个待探索

查看完整列表,继续分析自然与广告流量

序号ASIN流量分布(自然-广告)展示位置7天流量自然流量广告流量操作
1
Runner
Runner
$ 24.994.5(382)
+250.00%
6.52%
100%
0%
100%
+250.00%
100%
+250.00%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
1
(P1-1)
美 11-12 07:12
-
257,550257,5500
2
The Running Man
The Running Man
$ 19.994.3(2,360)
+244.12%
6.06%
100%
0%
93%
+250.00%
93%
+250.00%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
2
(P1-2)
美 11-12 07:12
-
50,47550,4750
3
Manuale completo sul deep learning: CNN, RNN e modelli generativi (Italian Edition)
Manuale completo sul deep learning: CNN, RNN e modelli generativi (Italian Edition)
-
+260.00%
5.59%
100%
0%
85%
+266.90%
85%
+266.90%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
3
(P1-3)
美 11-12 07:12
-
1081080
4
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)
Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions (English Edition)
$ 31.784.4(65)
+628.57%
5.28%
100%
0%
79%
+627.06%
79%
+627.06%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
5
(P1-5)
美 11-12 07:12
-
1141140
5
RNN Group Podcast
RNN Group Podcast
-
+200.00%
4.97%
100%
0%
75%
+204.25%
75%
+204.25%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
4
(P1-4)
美 11-12 07:12
-
96960
6
ANN RNN LSTM and Transformers : A Practical Guide to Deep Learning, Neural Networks, Sequence Modeling, NLP, and Transformer Architectures
ANN RNN LSTM and Transformers : A Practical Guide to Deep Learning, Neural Networks, Sequence Modeling, NLP, and Transformer Architectures
-
+244.44%
4.81%
100%
0%
73%
+245.68%
73%
+245.68%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
6
(P1-6)
美 11-12 07:12
-
2232230
7
RNN Cast
RNN Cast
-
+236.00%
4.35%
100%
0%
65%
+241.55%
65%
+241.55%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
9
(P1-9)
美 11-12 07:12
-
84840
8
RNN Political Debates
RNN Political Debates
-
+268.18%
4.19%
100%
0%
61%
+275.91%
61%
+275.91%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
10
(P1-10)
美 11-12 07:12
-
81810
9
RNNs e LSTMs (Portuguese Edition)
RNNs e LSTMs (Portuguese Edition)
-
+268.18%
4.19%
100%
0%
63%
+281.54%
63%
+281.54%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
7
(P1-7)
美 11-12 07:12
-
81810
10
G Kentei Maruanki kara Nukedasu Sankosho: Nita AI Yogo wo Zukai to Gutairei de Miwakeru AI Shikaku Gokaku no Kyoshitsu (Japanese Edition)
G Kentei Maruanki kara Nukedasu Sankosho: Nita AI Yogo wo Zukai to Gutairei de Miwakeru AI Shikaku Gokaku no Kyoshitsu (Japanese Edition)
-
+270.00%
3.83%
100%
0%
57%
+260.98%
57%
+260.98%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
11
(P1-11)
美 11-12 07:12
-
74740
11
AI One - RNNs, LSTMs e GRUs: Aprendera redes neurais sequênciais do zero (AI - One Livro 6) (Portuguese Edition)
AI One - RNNs, LSTMs e GRUs: Aprendera redes neurais sequênciais do zero (AI - One Livro 6) (Portuguese Edition)
-
+273.68%
3.67%
100%
0%
53%
+274.52%
53%
+274.52%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
8
(P1-8)
美 11-12 07:12
-
71710
12
From RNNs to Transformers : Architectural Evolution in Natural Language Processing
From RNNs to Transformers : Architectural Evolution in Natural Language Processing
-
+250.00%
3.62%
100%
0%
53%
+259.11%
53%
+259.11%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
13
(P1-13)
美 11-12 07:12
-
71710
13
R.E.M. By MTV
R.E.M. By MTV
-
+250.00%
3.62%
100%
0%
55%
+260.02%
55%
+260.02%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
12
(P1-12)
美 11-12 07:12
-
70700
14
Manual completo sobre aprendizaje profundo: CNN, RNN y modelos generativos (Spanish Edition)
Manual completo sobre aprendizaje profundo: CNN, RNN y modelos generativos (Spanish Edition)
-
+9999.99%
3.31%
100%
0%
49%
+9999.99%
49%
+9999.99%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
7
(P1-7)
美 11-10 07:24
-
64640
15
Excelでわかるディープラーニング超入門【RNN・DQN編】
Excelでわかるディープラーニング超入門【RNN・DQN編】
$ 72.904.0(25)
+733.33%
2.59%
100%
0%
37%
+735.19%
37%
+735.19%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
16
(P1-16)
美 11-12 07:12
-
50500
16
R.E.M. - Live in Dublin 2005
R.E.M. - Live in Dublin 2005
-
+428.57%
1.92%
100%
0%
29%
+480.91%
29%
+480.91%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
19
(P2-3)
美 11-12 07:12
-
1,5831,5830
17
Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents
Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents
$ 41.994.2(68)
+9999.99%
1.86%
0%
100%
29%
+9999.99%
0%
0.00%
29%
+9999.99%
自然
OOR
AC
SP
SOR
SB
SBV
-
1
(P1-1)
美 11-09 06:52
3,3452,1291,216
18
LKOUS Women's Ripped Baggy Jeans High Waist Wide Leg Patchwork Streetwear
LKOUS Women's Ripped Baggy Jeans High Waist Wide Leg Patchwork Streetwear
$ 55.994.2(65)
+9999.99%
1.66%
0%
100%
25%
+9999.99%
0%
0.00%
25%
+9999.99%
自然
OOR
AC
SP
SOR
SB
SBV
-
1
(P1-1)
美 11-07 06:53
1,24601,246
19
+333.33%
1.35%
100%
0%
18%
+326.84%
18%
+326.84%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
17
(P2-1)
美 11-12 07:12
-
37370
20
R. Kelly: The Verdict
R. Kelly: The Verdict
-
+500.00%
1.24%
100%
0%
17%
+498.39%
17%
+498.39%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
18
(P2-2)
美 11-12 07:12
-
24240
添加ASIN收藏
添加多ASIN收藏
流量趋势
小时趋势
每日趋势
多ASIN对比
批量复制
还有 70 个 ASIN 待探索

分析更多商品的流量来源与自然、广告排名

rnn · US站