西柚洞察关键词分析登录

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inference engineering

推理工程

关键词概览

周搜索量
144
环比 +14.29%
ABA排名
1,187,596
较上周 ↑153,295名
CPC建议竞价($)
0.91
范围 0.65–1.11
点击转化率
-
关键词全周期转化率
自然位滚动率
1.5中
广告位竞争难度
51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
144
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 ~ 2026-03-0762
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 ~ 2026-04-1162
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 ~ 2026-06-2065
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 ~ 2026-08-22115
2026-08-23 ~ 2026-08-2978
2026-08-30 ~ 2026-09-0575
2026-09-06 ~ 2026-09-12—
2026-09-13 ~ 2026-09-19121
2026-09-20 ~ 2026-09-26122
2026-09-27 ~ 2026-10-03182
2026-10-04 ~ 2026-10-10136
2026-10-11 ~ 2026-10-17121
2026-10-18 ~ 2026-10-2486
2026-10-25 ~ 2026-10-31126
2026-11-01 ~ 2026-11-07144

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 131 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。

inference engineering 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)
1
B0H4125RN7 反查关键词 ↗
<50价格 $39.99 236 流量占比 8.96% 236环比 +63.89% 8.96% 97.99% 75.35% 1 3
2
B0F47689K8 反查关键词 ↗
<50价格 $68.97 127 流量占比 4.82% 127环比 +38.04% 4.82% 94.96% 0.00% 2 —
3
B0CLFMFT4W 反查关键词 ↗
<50价格 $24.99 114 流量占比 4.33% 114环比 +83.87% 4.33% 0.00% 85.71% — 1
4
0262050951 反查关键词 ↗
<50价格 $169.49 110 流量占比 4.18% 110环比 +35.80% 4.18% 82.29% 0.00% 3 —
5
B0H5PR6FVV 反查关键词 ↗
<50价格 $23.99 109 流量占比 4.14% 109环比 +32.93% 4.14% 81.75% 0.00% 4 —

还有 111 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
1,187,596
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 ~ 2026-03-072,341,343
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 ~ 2026-04-112,326,174
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 ~ 2026-06-202,254,828
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 ~ 2026-08-221,441,803
2026-08-23 ~ 2026-08-291,972,331
2026-08-30 ~ 2026-09-052,040,864
2026-09-06 ~ 2026-09-12—
2026-09-13 ~ 2026-09-191,382,654
2026-09-20 ~ 2026-09-261,371,913
2026-09-27 ~ 2026-10-03963,746
2026-10-04 ~ 2026-10-101,247,350
2026-10-11 ~ 2026-10-171,386,982
2026-10-18 ~ 2026-10-241,837,947
2026-10-25 ~ 2026-10-311,340,891
2026-11-01 ~ 2026-11-071,187,596

广告位竞争难度趋势

最新值
51
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 ~ 2026-08-2947
2026-08-30 ~ 2026-09-0561
2026-09-06 ~ 2026-09-1249
2026-09-13 ~ 2026-09-19—
2026-09-20 ~ 2026-09-2646
2026-09-27 ~ 2026-10-0349
2026-10-04 ~ 2026-10-1054
2026-10-11 ~ 2026-10-1749
2026-10-18 ~ 2026-10-2452
2026-10-25 ~ 2026-10-3151
2026-11-01 ~ 2026-11-0751

近14天搜索结果ASIN数量

131

近14天出现的ASIN数 / 最近一次抓取的位数

自然
103 / 47
SP
17 / 7
SB
9 / 6
SBV
7 / 1
AC
0
OOR
0
SOR
9
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

inference engineering

推理工程
对关键词整体数据进行评分:
关键词ABA排名
1,187,596
153,295
周搜索量
144
+14.29%
近14天搜索结果ASIN数量近14天搜索结果ASIN数量说明
131
自然:103/47
SP:17/7
SB:9/6
SBV:7/1
AC:0
OOR:0
SOR:9
近30天订单量分布
0-100
100%
100-200
0%
200-500
0%
500-1000
0%
1000-2000
0%
2000-3000
0%
3000-4000
0%
4000-5000
0%
5000-10000
0%
10000+
0%
价格分布($)价格分布($)说明
价格分布($)
0-1
24%
1-2
0%
2-3
3%
3-4
0%
4-5
0%
5-6
2%
6-7
0%
7-8
0%
8-9
3%
9-10
6%
Rating数量分布
0-100
84%
100-500
10%
500-1000
3%
1000-2000
2%
2000-5000
1%
5000-10000
0%
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
2%
1.5-1.9
0%
1.0-1.4
2%
0.0-0.9
44%

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
LLM Inference Engineering Handbook: Crush API Costs, Cut Latency and Build Reliable Production Systems — Real Benchmarks, Python Code and Complete Code Repository for Engineers at Scale
LLM Inference Engineering Handbook: Crush API Costs, Cut Latency and Build Reliable Production Systems — Real Benchmarks, Python Code and Complete Code Repository for Engineers at Scale
$ 39.994.9(28)
-档位无变化
0.00%
2
AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
$ 68.974.0(47)
-档位无变化
0.00%
3
AI Infrastructure Engineer: The Interview Guide: GPU Clusters, Distributed Training, and Inference Systems - 15 Design Case Studies, 20 Debugging ... Model Answers (The AI Infrastructure Library)
AI Infrastructure Engineer: The Interview Guide: GPU Clusters, Distributed Training, and Inference Systems - 15 Design Case Studies, 20 Debugging ... Model Answers (The AI Infrastructure Library)
-
-档位无变化
+6.76%
4
Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
$ 169.494.8(5)
-档位无变化
+12.65%
5
Information Theory, Inference and Learning Algorithms
Information Theory, Inference and Learning Algorithms
$ 73.664.4(192)
-档位无变化
0.00%
6
Inference Engineering in Practice: Serving LLMs Fast and Cheap: Batching, KV Cache, Quantization, and the Cost of Every Token (The AI Engineer’s Library Book 3)
Inference Engineering in Practice: Serving LLMs Fast and Cheap: Batching, KV Cache, Quantization, and the Cost of Every Token (The AI Engineer’s Library Book 3)
-
-档位无变化
+5.52%
7
LLM INFERENCE ENGINEERING: Optimizing Large Language Models on NVIDIA GPUs
LLM INFERENCE ENGINEERING: Optimizing Large Language Models on NVIDIA GPUs
-
-档位无变化
-21.20%
8
LLM Inference Engineering: Quantization, KV-Cache Optimization, and High-Throughput Serving (Production AI Engineering Series)
LLM Inference Engineering: Quantization, KV-Cache Optimization, and High-Throughput Serving (Production AI Engineering Series)
$ 2.992.0(1)
-档位无变化
+4.73%
9
Statistical Inference for Engineers and Data Scientists
Statistical Inference for Engineers and Data Scientists
$ 81.995.0(3)
-档位无变化
-4.52%
10
The GPU Performance Engineering Field Manual: Diagnose and Fix Slow, Costly AI Training and Inference with CUDA, PyTorch, and vLLM
The GPU Performance Engineering Field Manual: Diagnose and Fix Slow, Costly AI Training and Inference with CUDA, PyTorch, and vLLM
-
-档位无变化
+20.89%
11
Inference Engineering & Optimization with LLMs: A Handbook to Retrieval-Augmented Generation, Quantization, Parallelism, and High-Performance Model Serving.
Inference Engineering & Optimization with LLMs: A Handbook to Retrieval-Augmented Generation, Quantization, Parallelism, and High-Performance Model Serving.
-
-档位无变化
-3.85%
12
Artificial Intelligence: AI Engineer's Cheatsheet: Silicon Edition (Ultra-large scale LLM training and inference Book 1)
Artificial Intelligence: AI Engineer's Cheatsheet: Silicon Edition (Ultra-large scale LLM training and inference Book 1)
$ 9.994.7(200)
昨天无档位,今天第1档
+9999.99%
13
AI Inference Engineering: Foundations of LLM Inference, Model Serving, GPU Computing, Performance, and Cost Optimization (The AI Inference Engineering Series Book 1)
AI Inference Engineering: Foundations of LLM Inference, Model Serving, GPU Computing, Performance, and Cost Optimization (The AI Inference Engineering Series Book 1)
-
昨天无档位,今天第1档
+9999.99%
14
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
$ 24.834.4(162)
昨天第2档,今天第1档
+175.24%
15
LLM Inference Engineering: From KV Cache to Production Serving: A Practical Guide, Basics to Advanced
LLM Inference Engineering: From KV Cache to Production Serving: A Practical Guide, Basics to Advanced
$ 12.995.0(1)
昨天无档位,今天第1档
+9999.99%
16
AI Inference Optimization Engineering: Quantization, Speculative Decoding, and Hardware-Specific LLM Deployment (Production AI Engineering Series)
AI Inference Optimization Engineering: Quantization, Speculative Decoding, and Hardware-Specific LLM Deployment (Production AI Engineering Series)
-
昨天第2档,今天第1档
+191.60%

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
Artificial Intelligence: AI Engineer's Cheatsheet: Silicon Edition (Ultra-large scale LLM training and inference Book 1)
Artificial Intelligence: AI Engineer's Cheatsheet: Silicon Edition (Ultra-large scale LLM training and inference Book 1)
$ 9.994.7(200)
+9999.99%
2
AI Inference Engineering: Foundations of LLM Inference, Model Serving, GPU Computing, Performance, and Cost Optimization (The AI Inference Engineering Series Book 1)
AI Inference Engineering: Foundations of LLM Inference, Model Serving, GPU Computing, Performance, and Cost Optimization (The AI Inference Engineering Series Book 1)
-
+9999.99%
3
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
$ 24.834.4(162)
+9999.99%
4
LLM Inference Engineering: From KV Cache to Production Serving: A Practical Guide, Basics to Advanced
LLM Inference Engineering: From KV Cache to Production Serving: A Practical Guide, Basics to Advanced
$ 12.995.0(1)
+9999.99%
5
AI Inference Optimization Engineering: Quantization, Speculative Decoding, and Hardware-Specific LLM Deployment (Production AI Engineering Series)
AI Inference Optimization Engineering: Quantization, Speculative Decoding, and Hardware-Specific LLM Deployment (Production AI Engineering Series)
-
+176.60%
6
LLM Inference Engineer: The Interview Guide: KV Cache, Batching, Quantisation, and Serving at Scale - 50+ Tested Code Listings, 20 Debugging ... with Answers (The AI Infrastructure Library)
LLM Inference Engineer: The Interview Guide: KV Cache, Batching, Quantisation, and Serving at Scale - 50+ Tested Code Listings, 20 Debugging ... with Answers (The AI Infrastructure Library)
-
+9999.99%
7
Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python
Causal Inference with Bayesian Networks: Build Bayesian Networks and Causal Inference Models with R and Python
$ 44.994.6(12)
+9999.99%
8
AI Performance Engineering: From GPU Kernels to LLM Inference
AI Performance Engineering: From GPU Kernels to LLM Inference
-
+9999.99%
9
Causal Inference for Machine Learning Engineers: A Practical Guide (Professional and Applied Computing)
Causal Inference for Machine Learning Engineers: A Practical Guide (Professional and Applied Computing)
$ 44.993.0(2)
+9999.99%
10
Inference Economics: Cost, Latency, Pricing, and Margin Engineering for AI-Native Products (The AI-Native Builder Canon Book 6)
Inference Economics: Cost, Latency, Pricing, and Margin Engineering for AI-Native Products (The AI-Native Builder Canon Book 6)
-
+9999.99%
11
The Inference Mechanic: AI Inference Engineering on Steroids
The Inference Mechanic: AI Inference Engineering on Steroids
-
+9999.99%
12
AI Engineering: Building Applications with Foundation Models
AI Engineering: Building Applications with Foundation Models
$ 46.004.6(1,029)
+9999.99%
13
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
AI Infrastructure Engineering: Building GPU Systems, Optimizing Inference, Designing Distributed Architectures, and Running Production Deployments
-
+266.16%
14
Inference and Learning from Data: Volume 1: Foundations
Inference and Learning from Data: Volume 1: Foundations
$ 58.845.0(2)
+248.79%
15
Inference and Learning from Data: Volume 2: Inference
Inference and Learning from Data: Volume 2: Inference
$ 119.354.6(3)
+190.32%
16
AI Systems Engineering: Designing Reliable, Scalable, and Observable AI Platforms for Production (The AI Inference Engineering Series)
AI Systems Engineering: Designing Reliable, Scalable, and Observable AI Platforms for Production (The AI Inference Engineering Series)
-
+9999.99%
17
Inside DeepInfer: A Guide to DeepSeek's Large-Scale Inference Engine
Inside DeepInfer: A Guide to DeepSeek's Large-Scale Inference Engine
-
+9999.99%
18
The Engineering of AI Systems: The Silicon, The Inference Engine, and The Distributed Architecture of Modern Machine Learning
The Engineering of AI Systems: The Silicon, The Inference Engine, and The Distributed Architecture of Modern Machine Learning
-
+9999.99%
19
AI Reasoning Machines: The Mathematics and Engineering of Search, Planning, Inference, and Deliberation in Modern AI Systems (Building Systems That Solve Problems)
AI Reasoning Machines: The Mathematics and Engineering of Search, Planning, Inference, and Deliberation in Modern AI Systems (Building Systems That Solve Problems)
-
+9999.99%
20
Inference Engineering in der Praxis: LLMs schnell und günstig betreiben: Batching, KV-Cache, Quantisierung und die Kosten pro Token (The AI Engineer's Library (Deutsche Ausgabe) 3) (German Edition)
Inference Engineering in der Praxis: LLMs schnell und günstig betreiben: Batching, KV-Cache, Quantisierung und die Kosten pro Token (The AI Engineer's Library (Deutsche Ausgabe) 3) (German Edition)
-
+9999.99%

ASIN列表

自定义
此关键词出现过在前3页的ASIN有131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 111 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
LLM Inference Engineering Handbook: Crush API Costs, Cut Latency and Build Reliable Production Systems — Real Benchmarks, Python Code and Complete Code Repository for Engineers at Scale
LLM Inference Engineering Handbook: Crush API Costs, Cut Latency and Build Reliable Production Systems — Real Benchmarks, Python Code and Complete Code Repository for Engineers at Scale
$ 39.994.9(28)
+63.89%
8.96%
55%
45%
173%
+25.31%
98%
-2.01%
75%
+96.59%
自然
OOR
AC
SP
SOR
SB
SBV
1
(P1-1)
美 11-12 06:15
3
(P1-3)
美 11-12 06:15
1,084295789
2
AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch
$ 68.974.0(47)
+38.04%
4.82%
100%
0%
95%
+4.04%
95%
+4.04%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
2
(P1-2)
美 11-12 06:15
-
2,2482,21533
3
Prompt Engineering Guide: 3 Books in 1 - "Unlocking the Potential of AI Conversations: A Comprehensive Prompt Engineering Trilogy"
Prompt Engineering Guide: 3 Books in 1 - "Unlocking the Potential of AI Conversations: A Comprehensive Prompt Engineering Trilogy"
-
+83.87%
4.33%
0%
100%
86%
+50.00%
0%
0.00%
86%
+50.00%
自然
OOR
AC
SP
SOR
SB
SBV
-
1
(P1-1)
美 11-12 06:15
1140114
4
Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
Fundamentals of Active Inference: Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
$ 169.494.8(5)
+35.80%
4.18%
100%
0%
82%
+1.18%
82%
+1.18%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
3
(P1-3)
美 11-12 06:15
-
1321320
5
LLM INFERENCE ENGINEERING: Optimizing Large Language Models on NVIDIA GPUs
LLM INFERENCE ENGINEERING: Optimizing Large Language Models on NVIDIA GPUs
-
+32.93%
4.14%
100%
0%
82%
+1.23%
82%
+1.23%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
4
(P1-4)
美 11-12 06:15
-
1171170
6
Information Theory, Inference and Learning Algorithms
Information Theory, Inference and Learning Algorithms
$ 73.664.4(192)
+36.00%
3.87%
100%
0%
76%
+3.72%
76%
+3.72%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
5
(P1-5)
美 11-12 06:15
-
1291290
7
AI Infrastructure Engineer: The Interview Guide: GPU Clusters, Distributed Training, and Inference Systems - 15 Design Case Studies, 20 Debugging ... Model Answers (The AI Infrastructure Library)
AI Infrastructure Engineer: The Interview Guide: GPU Clusters, Distributed Training, and Inference Systems - 15 Design Case Studies, 20 Debugging ... Model Answers (The AI Infrastructure Library)
-
+127.27%
3.80%
100%
0%
76%
+95.20%
76%
+95.20%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
6
(P1-6)
美 11-12 06:15
-
1491490
8
Inference Engineering in Practice: Serving LLMs Fast and Cheap: Batching, KV Cache, Quantization, and the Cost of Every Token (The AI Engineer’s Library Book 3)
Inference Engineering in Practice: Serving LLMs Fast and Cheap: Batching, KV Cache, Quantization, and the Cost of Every Token (The AI Engineer’s Library Book 3)
-
+53.45%
3.38%
100%
0%
65%
+16.60%
65%
+16.60%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
7
(P1-7)
美 11-12 06:15
-
89890
9
Prompt Engineering: Unlocking Generative AI: Ethical Creative AI for All
Prompt Engineering: Unlocking Generative AI: Ethical Creative AI for All
$ 39.993.9(3)
+83.33%
3.34%
0%
100%
65%
+50.00%
0%
0.00%
65%
+50.00%
自然
OOR
AC
SP
SOR
SB
SBV
-
2
(P1-2)
美 11-12 06:15
88088
10
Statistical Inference for Engineers and Data Scientists
Statistical Inference for Engineers and Data Scientists
$ 81.995.0(3)
+107.50%
3.15%
100%
0%
61%
+68.51%
61%
+68.51%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
8
(P1-8)
美 11-12 06:15
-
83830
11
LLM Inference Engineering: Quantization, KV-Cache Optimization, and High-Throughput Serving (Production AI Engineering Series)
LLM Inference Engineering: Quantization, KV-Cache Optimization, and High-Throughput Serving (Production AI Engineering Series)
$ 2.992.0(1)
+35.71%
2.89%
100%
0%
54%
-1.36%
54%
-1.36%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
16
(P1-16)
美 11-12 06:15
-
76760
12
The GPU Performance Engineering Field Manual: Diagnose and Fix Slow, Costly AI Training and Inference with CUDA, PyTorch, and vLLM
The GPU Performance Engineering Field Manual: Diagnose and Fix Slow, Costly AI Training and Inference with CUDA, PyTorch, and vLLM
-
+28.81%
2.89%
95%
5%
55%
-0.37%
52%
+6.89%
3%
-55.56%
自然
OOR
AC
SP
SOR
SB
SBV
14
(P1-14)
美 11-12 06:15
8
(P3-2)
美 11-12 06:15
16415410
13
The Frontier of LLM Inference: The Engineering Blueprint for KV Cache Optimization, Low-Precision Kernels, and Cluster Sizing
The Frontier of LLM Inference: The Engineering Blueprint for KV Cache Optimization, Low-Precision Kernels, and Cluster Sizing
-
+8.70%
2.85%
100%
0%
56%
-19.39%
56%
-19.39%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
9
(P1-9)
美 11-12 06:15
-
1121120
14
Hands-On LLM Serving and Optimization: Hosting LLMs at Scale
Hands-On LLM Serving and Optimization: Hosting LLMs at Scale
$ 60.295.0(1)
+8.06%
2.54%
100%
0%
50%
-18.45%
50%
-18.45%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
13
(P1-13)
美 11-12 06:15
-
3263260
15
AI Inference Architecture: Designing Scalable, Low-Latency, and Production-Grade Inference Systems for Enterprise AI (AI Systems Architecture Series Book 5)
AI Inference Architecture: Designing Scalable, Low-Latency, and Production-Grade Inference Systems for Enterprise AI (AI Systems Architecture Series Book 5)
-
+6.45%
2.51%
100%
0%
49%
-21.19%
49%
-21.19%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
10
(P1-10)
美 11-12 06:15
-
66660
16
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
$ 39.854.6(1,023)
+22.00%
2.32%
100%
0%
44%
-4.92%
44%
-4.92%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
15
(P1-15)
美 11-12 06:15
-
2,9792,9790
17
Local LLM Inference Optimization: A Comprehensive Guide to Quantization, Hardware Acceleration, and Efficient Private AI Deployment
Local LLM Inference Optimization: A Comprehensive Guide to Quantization, Hardware Acceleration, and Efficient Private AI Deployment
$ 16.995.0(2)
+70.59%
2.20%
47%
53%
39%
+26.30%
19%
+22.34%
21%
+30.15%
自然
OOR
AC
SP
SOR
SB
SBV
25
(P2-9)
美 11-12 06:15
6
(P1-6)
美 11-11 06:04
643331
18
Inference Engineering & Optimization with LLMs: A Handbook to Retrieval-Augmented Generation, Quantization, Parallelism, and High-Performance Model Serving.
Inference Engineering & Optimization with LLMs: A Handbook to Retrieval-Augmented Generation, Quantization, Parallelism, and High-Performance Model Serving.
-
-16.67%
2.09%
100%
0%
39%
-38.22%
39%
-38.22%
0%
0.00%
自然
OOR
AC
SP
SOR
SB
SBV
11
(P1-11)
美 11-12 06:15
-
60600
19
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Deploy and Scale Production Ready AI Systems
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Deploy and Scale Production Ready AI Systems
$ 39.934.7(602)
-12.50%
1.86%
37%
63%
32%
-33.40%
12%
-71.59%
21%
+175.71%
自然
OOR
AC
SP
SOR
SB
SBV
39
(P3-7)
美 11-12 06:15
-
12,5153,3949,121
20
Distributed AI Systems: A practical guide to building scalable training, inference, and serving systems for production AI
Distributed AI Systems: A practical guide to building scalable training, inference, and serving systems for production AI
$ 31.994.6(15)
+433.33%
1.82%
0%
100%
33%
+419.73%
0%
0.00%
33%
+419.73%
自然
OOR
AC
SP
SOR
SB
SBV
-
5
(P1-5)
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