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CHAPTER 11 · APPENDIX

附录:术语、方法与引用

术语、方法与引用来源。引用索引已整理为可检索的独立页面。

2,525 字 5 分钟 综合判断

附录 A:引用来源汇总#

全文共引用 370 个唯一链接(按出现顺序):

370 条引用已整理为可检索索引

按章节分组、支持关键词与域名筛选,并保留每条的来源标题与域名。

打开引用索引 →
展开原始 URL 清单(370 条)
  1. https://www.reuters.com/legal/transactional/openai-acquire-product-testing-startup-statsig-appoints-cto-applications-2025-09-02/
  2. https://www.bloomberg.com/news/articles/2025-09-02/openai-to-buy-product-testing-startup-statsig-for-1-1-billion
  3. https://support.google.com/analytics/answer/12979939?hl=en
  4. https://monetate.com/resource/how-does-the-sunsetting-of-oracle-maxymiser-impact-cx-and-personalization/
  5. https://www.harness.io/press-and-news/harness-completes-acquisition-of-split-software
  6. https://www.businesswire.com/news/home/20250630514541/en/Monetate-Acquires-SiteSpect-to-Deliver-AI-Native-Personalization-and-Testing-at-Enterprise-Scale
  7. https://wingify.com/news/vwo-and-ab-tasty-unite-as-wingify/
  8. https://en.yna.co.kr/view/RPR20260916007800353?section=press-release/index
  9. https://www.tmcnet.com/usubmit/2026/07/30/10422711.htm
  10. https://www.sitecore.com/resources/insights/artificial-intelligence/cms-and-conversion-optimization
  11. https://www.optimizely.com/company/press/episerver-completes-acquisition-of-optimizely
  12. https://www.centrelanepartners.com/2022/10/28/kibo-spins-out-personalization-business-under-the-monetate-brand/
  13. https://www.sitecore.com/company/newsroom/press-releases/2021/03/sitecore-acquires-boxever-and-four51
  14. https://www.dbta.com/Editorial/News-Flashes/Oracle-Snaps-Up-Customer-Experience-Optimization-Specialist-to-Expand-Marketing-Cloud-106113.aspx
  15. https://www.optimizely.com/company/press/optimizely-acquires-netspring
  16. https://www.optimizely.com/de/company/press/opal-workforce
  17. https://certification.optimizely.com/docs/guides/experimentation/configure-mutual-exclusion/
  18. https://certification.optimizely.com/docs/concepts/experimentation/performance-edge/
  19. https://certification.optimizely.com/docs/concepts/experimentation/stats-engine-deep-dive/
  20. https://support.optimizely.com/hc/en-us/articles/33424529987597-CUPED-Controlled-experiment-Using-Pre-Experiment-Data
  21. https://support.optimizely.com/hc/en-us/articles/13409080412173-Optimizely-s-automatic-sample-ratio-mismatch-detection
  22. https://support.optimizely.com/hc/en-us/articles/42734792850061-Configure-a-Bayesian-A-B-test
  23. https://www.optimizely.com/plans/
  24. https://www.vendr.com/marketplace/optimizely
  25. https://help.wingify.com/hc/en-us/articles/58766108516889-Configure-Holdout-Groups-in-Feature-Experimentation
  26. https://wingify.com/pricing/
  27. https://help.wingify.com/hc/en-us/articles/58831743266969-About-Wingify-Data360
  28. https://wingify.com/blog/new-stats-engine-and-enhanced-wingify-reports/
  29. https://help.wingify.com/hc/en-us/articles/59066074450841-What-is-the-Math-Behind-SmartStats
  30. https://help.wingify.com/hc/en-us/articles/58838252139545-Achieve-Accurate-Campaign-Results-with-SmartStats-Configuration
  31. https://docs.abtasty.com/web-experimentation-and-personalization/campaign-creation-and-dashboard/types-of-campaigns
  32. https://docs.abtasty.com/account/tag-integration/understand-ab-tasty-tag-implementation-methods/choose-between-synchronous-and-asynchronous-methods
  33. https://docs.abtasty.com/server-side/sdks/sdk-overview
  34. https://docs.abtasty.com/reporting-and-performances/reporting/frequentist-analysis-mode
  35. https://docs.abtasty.com/help-center/faq/faq-sequential-testing-alerts
  36. https://docs.abtasty.com/reporting-and-performances/reporting/sample-ratio-mismatch
  37. https://docs.kameleoon.com/developer-docs/web-experimentation/technical-concepts/flicker-management-and-performance
  38. https://docs.kameleoon.com/user-manual/experiment-analytics/statistical-methods/choosing-the-right-statistical-method-for-ab-testing
  39. https://docs.kameleoon.com/user-manual/experiment-analytics/analyze-results/results-page-tabs/health-menu
  40. https://www.einpresswire.com/article_print/852526197/kameleoon-launches-vibe-experimentation-with-prompt-based-testing
  41. https://support.convert.com/hc/en-us/articles/360015870371-server-side-testing-
  42. https://support.convert.com/hc/en-us/articles/statistical-models-in-convertcoms-ab-testing-platform
  43. https://www.convert.com/pricing/
  44. https://doc.sitespect.com/knowledge/sitespect-implementation
  45. https://monetate.com/
  46. https://doc.sitespect.com/knowledge/sitespect-and-single-page-applications
  47. https://doc.sitespect.com/knowledge/sitespect-statistics
  48. https://experienceleague.adobe.com/en/docs/target/using/activities/activities
  49. https://www.miaprova.com/blog/two-customers-asked-us-the-same-question-inside-of-a-week-what-exactly-do-we-get-if-we-move-from-adobe-target-standard-to-premium/
  50. https://experienceleague.adobe.com/en/docs/target/using/activities/auto-allocate/automated-traffic-allocation
  51. https://experienceleague.adobe.com/en/docs/target/using/activities/auto-target/auto-target-to-optimize
  52. https://experienceleague.adobe.com/en/docs/target/using/activities/automated-personalization/algo-random-forest
  53. https://experienceleague.adobe.com/en/docs/target-dev/developer/server-side/on-device-decisioning/overview
  54. https://www.miaprova.com/blog/adobe-target-had-a-quietly-big-year-at-summit/
  55. https://business.adobe.com/products/target/pricing.html
  56. https://kirro.io/adobe-target-ab-testing
  57. https://experienceleague.adobe.com/zh-hant/docs/core-services/interface/data-collection/rdc?lang=zh-Hant
  58. https://www.cnbc.com/amp/2019/03/25/mcdonalds-announces-acquisition-to-personalize-the-drive-thru.html
  59. https://newsroom.mastercard.com/news/europe/de-de/newsroom/pressemitteilungen/de-de/2022/april/mastercard-starkt-mit-abschluss-der-ubernahme-von-dynamic-yield-seine-services-zur-kundenbindung/
  60. https://www.mastercard.com/us/en/business/consumer-acquisition-and-engagement/personalization/dynamic-yield.html
  61. https://support.dynamicyield.com/hc/en-us/articles/360034513414-Dynamic-Allocation
  62. https://dy.dev/docs/choose
  63. https://www.vendr.com/marketplace/dynamic-yield
  64. https://monetate.com/resource/monetate-introduces-forte/
  65. https://monetate.com/maestro/
  66. https://docs.monetate.com/docs/implementation-overview
  67. https://docs.monetate.com/docs/enable-auto-promotion-for-experiences
  68. https://docs.monetate.com/docs/create-an-automated-personalization-experience
  69. https://www.sitecore.com/platform/conversion-optimization
  70. https://developers.sitecore.com/learn/faq/xm-personalize/personalize-cdp
  71. https://doc.sitecore.com/personalize/en/users/sitecore-personalize/introduction-to-experiments-in-sitecore-personalize/introduction-to-experiments-in-sitecore-personalize.html
  72. https://doc.sitecore.com/personalize/en/users/sitecore-personalize/introduction-to-decisioning-in-sitecore-personalize.html
  73. https://doc.sitecore.com/personalize/en/users/sitecore-personalize/introduction-to-experiments-in-sitecore-personalize/running-an-experiment-with-optimized-testing/understanding-multi-armed-bandit-calculations.html
  74. https://www.vendr.com/marketplace/sitecore
  75. https://clonepartner.com/blog/sitecore-xp-end-of-support-2026-the-version-by-version-guide
  76. https://www.21cloudbox.com/support/sitecore-xm-cloud-china.html
  77. https://www.gartner.com/reviews/product/oracle-maxymiser-legacy
  78. https://origin.peerspot.com/products/comparisons/monetate-intelligent-personalization-engine_vs_oracle-maxymiser-eol
  79. https://developer.harness.io/docs/feature-management-experimentation/split-to-harness/migrate-from-split-to-harness/how-it-works
  80. https://statsig.com/blog/openai-acquisition
  81. https://docs.statsig.com/experiments/overview
  82. https://docs.statsig.com/experiments/holdouts-introduction
  83. https://docs.statsig.com/statsig-warehouse-native/features/statistics
  84. https://statsig.com/blog/announcing-cure
  85. https://docs.statsig.com/statsig-warehouse-native/native-vs-cloud
  86. https://docs.statsig.com/experiments/monitor
  87. https://docs.statsig.com/statsig-warehouse-native/features/experiment-options
  88. https://amplitude.com/blog/amplitude-and-statsig-partnership
  89. https://statsig.com/blog/statsig-amplitude-phase-1
  90. https://statsig.com/pricing
  91. https://docs.geteppo.com/reference/architecture-and-security/
  92. https://docs.geteppo.com/statistics/cuped/
  93. https://docs.geteppo.com/statistics/multiple-testing/
  94. https://docs.geteppo.com/data-management/organizing-metrics/guardrails
  95. https://docs.geteppo.com/statistics/global-lift/
  96. https://docs.geteppo.com/statistics/interaction-detection/
  97. https://www.datadoghq.com/about/latest-news/press-releases/datadog-acquires-eppo-to-expand-its-ai/
  98. https://docs.growthbook.io/overview
  99. https://github.com/growthbook/growthbook
  100. https://github.com/growthbook/growthbook/blob/main/LICENSE
  101. https://docs.growthbook.io/statistics/overview
  102. https://docs.growthbook.io/statistics/sequential
  103. https://docs.growthbook.io/statistics/cuped
  104. https://www.growthbook.io/pricing
  105. https://www.growthbook.io/blog/how-to-migrate-from-statsig-to-growthbook
  106. https://amplitude.com/docs/data/warehouse-native/overview
  107. https://amplitude.com/docs/faq/sequential-testing
  108. https://amplitude.com/docs/feature-experiment/experiment-theory/bayesian-statistics
  109. https://amplitude.com/docs/feature-experiment/troubleshooting/sample-ratio-mismatch
  110. https://amplitude.com/docs/feature-experiment/implementation
  111. https://amplitude.com/docs/feature-experiment/local-evaluation
  112. https://amplitude.com/pricing
  113. https://leaderpost.com/press-releases/globe-newswire/launchdarkly-surpasses-200-million-in-arr-as-demand-for-runtime-control-accelerates/
  114. https://launchdarkly.com/docs/guides/statistical-methodology/choosing
  115. https://launchdarkly.com/docs/guides/statistical-methodology/cuped
  116. https://launchdarkly.com/blog/warehouse-native-experimentation-comes-to-bigquery-databricks-and-redshift/
  117. https://launchdarkly.com/how-it-works/platform-architecture/
  118. https://launchdarkly.com/blog/what-happened-what-we-learned-and-how-were-improving/
  119. https://launchdarkly.com/pricing/
  120. https://developer.harness.io/feature-management-experimentation/use-fme/experimentation/key-concepts/fixed-horizon
  121. https://developer.harness.io/docs/feature-management-experimentation/sdks-and-infrastructure/
  122. https://github.com/Flagsmith/flagsmith
  123. https://docs.flagsmith.com/experimentation
  124. https://www.flagsmith.com/pricing
  125. https://configcat.com/docs/advanced/variation-id-for-analytics
  126. https://configcat.com/pricing/
  127. https://www.getunleash.io/blog/unleash-moving-to-agplv3
  128. https://www.getunleash.io/blog/series-b
  129. https://support.google.com/analytics/answer/12979939
  130. https://firebase.google.com/docs/ab-testing/ab-concepts
  131. https://aws.amazon.com/blogs/mt/support-for-amazon-cloudwatch-evidently-ending-soon/
  132. https://aws.amazon.com/blogs/devops/running-production-experiments-with-aws-appconfig-experimentation/
  133. https://blog.cloudflare.com/flagship/
  134. https://www.volcengine.com/product/DataTester
  135. https://www.365trade.com.cn/jfwzb/775230.jhtml
  136. https://www.alibabacloud.com/help/zh/pai/a-b-experiment/
  137. http://www.gdebidding.com/nhpbgs/199863.jhtml
  138. https://www.cac.gov.cn/2024-03/22/c_1712776611775634.htm
  139. https://learn.microsoft.com/en-us/azure/azure-app-configuration/concept-feature-management
  140. https://openfeature.dev/
  141. https://aicon.infoq.cn/2025/shanghai/speaker/9508
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  145. https://www.doit.com.cn/p/475545.html
  146. https://docs.byteplus.com/en/docs/DataTester/Traffic-Layer-and-Mutual-Exclusion-Domain
  147. https://docs.byteplus.com/en/docs/DataTester/How-to-Interpret-the-Experiment-Report
  148. https://docs.byteplus.com/en/docs/DataTester/Enhanced-Shunt-Uniformity
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  258. https://docs.geteppo.com/sdks/architecture/overview/
  259. https://raw.githubusercontent.com/optimizely/go-sdk/refs/tags/v0.1.0/optimizely/decision/experiment_bucketer_service.go
  260. https://docs.statsig.com/sdks/how-evaluation-works
  261. https://launchdarkly.github.io/ruby-server-sdk/LaunchDarkly/Impl/EvaluatorBucketing.html
  262. https://docs.geteppo.com/sdks/event-logging/assignment-logging/
  263. https://docs.geteppo.com/statistics/confidence-intervals/statistical-nitty-gritty/
  264. https://docs.growthbook.io/statistics/quantile
  265. https://docs.statsig.com/experiments/statistical-methods/methodologies/cuped
  266. https://www.evanmiller.org/how-not-to-run-an-ab-test.html
  267. https://www.optimizely.com/field-notes/articles/statistics-for-the-internet-age-the-story-behind-optimizelys-new-stats-engine
  268. https://docs.geteppo.com/statistics/confidence-intervals/analysis-methods/
  269. https://docs.geteppo.com/statistics/sample-ratio-mismatch/
  270. https://docs-legacy.statsig.com/experiments-plus/monitor/
  271. https://www.microsoft.com/en-us/research/publication/diagnosing-sample-ratio-mismatch-in-online-controlled-experiments-a-taxonomy-and-rules-of-thumb-for-practitioners/
  272. https://docs.growthbook.io/experimentation-analysis/cluster-experiments
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  275. https://docs.geteppo.com/data-management/metrics/
  276. https://docs.growthbook.io/app/metrics
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  279. https://docs.geteppo.com/data-management/data-pipeline/
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附录 B:术语表#

  • A/B/n:同时比较两个及以上变体的对照实验。
  • CUPED:Controlled-experiment Using Pre-Experiment Data,用实验前数据做协变量以降低方差、提升灵敏度。
  • SRM:Sample Ratio Mismatch,实际分流比例与设计比例显著不符,通常意味着实验实现或数据链路有 bug。
  • OEC:Overall Evaluation Criterion,用于权衡短期与长期、收益与代价的总体评估指标。
  • MDE:Minimum Detectable Effect,给定功效与样本量下能检测到的最小效应。
  • Sequential Testing:允许在实验过程中多次查看并提前停止的统计方法,控制整体假阳性率。
  • Delta Method:用泰勒展开近似非线性指标(如比率、人均值)方差的方法。
  • Holdout:保留一部分用户长期不进入任何实验,用于衡量实验体系整体增量。
  • Orthogonal Layers:用不同 salt/层让多个实验在同一批用户上正交分流,互不干扰。
  • Switchback:按时间片交替切换实验组/对照组,适用于双边市场与强干扰场景。
  • Interleaving:把多个候选结果交错混排,用偏好比较替代绝对指标,适合搜索/推荐排序。
  • MAB:Multi-Armed Bandit,在探索与利用之间动态分配流量。
  • Warehouse-Native:实验平台不存储明细数据,指标计算下推到客户数仓。
  • OpenFeature:CNCF 的 Feature Flag 开放标准,用于解耦 SDK 与供应商。
  • Guardrail Metrics:护栏指标,用于确保实验不损害体验、性能、收入等底线。
  • Novelty Effect:新功能初期带来的短期新鲜感效应,可能导致实验高估长期收益。

附录 C:研究方法与分工#

  • L0 基线:市场大事记、40 家厂商清单、14 个开源项目 GitHub 活跃度。
  • 深度研究(25 路并发):A1-A6 商业平台;B1-B5 中国平台;C1-C5 开源;D1-D6 技术模块;E1-E3 案例与学术;F1-F2 交叉验证与缺口补全。
  • 分册合成(7 路):S-A1、S-A2、S-B、S-C、S-D1、S-D2、S-E。
  • 终稿:执行摘要、市场地图、选型矩阵、参考架构与路线图。

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NOTE本页内容来自《AB 测试平台全网竞品与方案调研》2026-10 版。价格、融资与产品状态以文中标注日期为准;采购前请以供应商最新报价与合同为准。