Metrics 指标

Prev Next

Metrics 指标

Tenjin 面板默认提供了多种常用指标及分析,供营销人员更好的决策。

Metric Tooltips 指标提示

将鼠标悬停在面板上的指标名称附近,就可以查看其定义和公式说明。
unnamed.png

指标分类

你可以在 Edit Metrics 下看到指标的各种分类,迅速找到并添加您需要的指标。
image.png

以下是 Tenjin 面板上的常见指标清单。


指标清单

详细信息

用户增长-指标

报告类型 缩写 完整名称 描述
UA IAP Rev IAP Revenue Total In App Purchase Amount ($)
UA IAP ARPDAU IAP Revenue Per Daily Active Users Average amount of IAP Revenue per DAU ($)
UA N-Day IAP LTV / User N-Day IAP LTV / User Average N-Day In App Purchase LTV per User Amount ($)
UA N-Day IAP LTV N-Day IAP LTV Cumulative IAP revenue N days after install
UA N-Day IAP ROAS N-Day Ad ROAS Average N-Day ROAS Percentage (%) Amount of cumulative IAP revenue N days after install divided by spend
UA N-Day IAP ROI N-Day Ad ROI Average N-Day ROI Percentage (%) Amount of cumulative profit (IAP revenue N days after install - spend) divided by spend
UA IAP Profit Margin IAP Profit Margin IAP Revenue - Spend
UA Ad Revenue (Ad Network) Ad Revenue (Ad Network) Total Ad Revenue Amount estimated by Tenjin ($)
UA Ad Revenue (Ad Mediation) Ad Revenue (Ad Mediation) Total Ad Mediation Value ($)
UA Ad ARPDAU (Ad Network) Ad Revenue Per Daily Active Users (Ad Network) Average amount of Ad Revenue per DAU ($)
UA Ad ARPDAU (Ad Mediation) Ad Revenue Per Daily Active Users (Ad Mediation) Average amount of Ad Mediation Revenue per DAU ($)
UA N-Day Ad LTV (Ad Network) N-Day Ad Revenue LTV (Ad Network) Cumulative ad revenue N days after install
UA N-Day Ad LTV (Ad Mediation) N-Day Ad Revenue LTV (Ad Mediation) Cumulative Ad Mediation revenue N days after install ($)
UA N-Day Ad LTV / User (Ad Network) N-Day Ad Revenue LTV / User (Ad Network) Average N-Day Ad Revenue LTV estimated by Tenjin per User Amount ($)
UA N-Day Ad ROAS (Ad Network ) N-Day Ad ROAS (Ad Network) Average N-Day ROAS Percentage (%) Amount of cumulative ad revenue (Ad Network) N days after install divided by spend
UA N-Day Ad ROAS (Ad Mediation ) N-Day Ad ROAS (Ad Mediation) Average N-Day ROAS Percentage (%) Amount of cumulative ad revenue (Ad Mediation) N days after install divided by spend
UA N-Day Ad ROI (Ad Network) N-Day Ad ROI (Ad Network) Average N-Day ROI Percentage (%) Amount of cumulative profit (ad revenue (Ad Network) N days after install - spend) divided by spend
UA N-Day Ad ROI (Ad Mediation) N-Day Ad ROI (Ad Mediation) Average N-Day ROI Percentage (%) Amount of cumulative profit (ad revenue (Ad Mediation) N days after install - spend) divided by spend
UA Ad Revenue Profit Margin (Ad Mediation) Ad Revenue Profit Margin (Ad Mediation) Ad Revenue (Ad Mediation) - Spend
UA Ad Revenue Profit Margin (Ad Network) Ad Revenue Profit Margin (Ad Network) Ad Revenue (Ad Network) - Spend
UA All Revenue (Ad Network + IAP) All Revenue (Ad Network + IAP) All Revenue Amount (IAP + Ad Network) ($)
UA All ARPDAU (Ad Revenue + IAP) All Revenue per Daily Active Users (Ad Revenue + IAP) Average amount of All Revenue (IAP + Ad Network) per DAU ($)
UA All ARPDAU (Ad Mediation + IAP) All Revenue Per Daily Active Users All ARPDAU (Ad Revenue + IAP) Average amount of All Ad Revenue (Ad Mediation + IAP) per DAU
UA N-Day All LTV (Ad Network + IAP) N-Day All LTV (Ad Network + IAP) Cumulative all revenue (IAP + Ad Network) N days after the install
UA N-Day All LTV (Ad Mediation + IAP) N-Day All LTV (Ad Mediation + IAP) Cumulative all revenue (IAP + Ad Mediation) N days after the install
UA N-Day All LTV / User (Ad Network + IAP) N-Day All LTV / User (Ad Network + IAP) Cumulative all revenue (IAP + Ad Network) N days after install divided by total users on 0-Day
UA N-Day All LTV / User (Ad Mediation + IAP) N-Day All Ad Mediation LTV / User (Ad Mediation + IAP) Cumulative all revenue (IAP + Ad Mediation) N days after install divided by tracked installs
UA N-Day All ROAS (Ad Network + IAP) N-Day All ROAS (Ad Network + IAP) Average N-Day ROAS Percentage (%) Amount of cumulative all revenue (Ad Network + IAP) N days after install divided by spend
UA N-Day All ROAS (Ad Mediation + IAP) N-Day All ROAS (Ad Mediation + IAP) Average N-Day ROAS Percentage (%) Amount of cumulative Ad Mediation revenue + IAP N days after install divided by spend
UA N-Day All ROI (Ad Network + IAP) N-Day All ROI (Ad Network + IAP) Average N-Day ROI Percentage (%) Amount of cumulative total profit (all revenue (Ad Network + IAP) N days after install - spend) divided by spend
UA N-Day All ROI (Ad Mediation + IAP) N-Day All Ad Mediation ROI (Ad Mediation + IAP) Average N-Day ROI Percentage (%) Amount of cumulative Ad Mediation + IAP Revenue (total revenue N days after install - spend) divided by spend
UA N-Day All pLTV (Ad Mediation + IAP) N-Day All pLTV (Ad Mediation + IAP) Cumulative predicted revenue (IAP + Ad Mediation Revenue) N-Days after install (Currently up to 30-Days cohorts supported)
UA N-Day All pROAS (Ad Mediation + IAP) N-Day All pROAS (Ad Mediation + IAP) Average N-Day Predicted ROAS Percentage (%) Amount of cumulative All pLTV (Ad Mediation + IAP) N days after install divided by spend (Currently up to 30-Days cohorts supported)
UA N-Day All pROI (Ad Mediation + IAP) N-Day All pROI (Ad Mediation + IAP) Average N-Day Predicted ROI Percentage (%) Amount of cumulative (All pLTV (Ad Mediation + IAP) N days after install - spend) divided by spend (Currently up to 30-Days cohorts supported)
UA All Profit Margin (Ad Mediation + IAP) All Profit Margin (Ad Mediation + IAP) All Revenue (Ad Mediation + IAP) - Spend
UA All Profit Margin (Ad Network + IAP) All Profit Margin (Ad Network + IAP) All Revenue (Ad Network + IAP) - Spend
UA DAU Daily Active Users Number of unique users (advertising_id) per day
UA N-Day Users N-Day Retained Users Total number of users retained after N-Day of installing the app
UA Lifetime Ret Lifetime Retention Cohorted N-day Retention Rate
UA N-Day Ret % N-Day Retention Rate Average N-Day Retention Rate Percentage (%)
UA Total Fraud Events Total Fraud Events Sum of blocked clicks and fradulent purchases
UA Blocked Clicks Blocked Clicks The number of clicks we blocked based on mean time to install(MTTI). We currently use 1 second for the MTTI threshold as default.
UA Blocked Device Events Blocked Device Events Number of test device events
UA Fradulent Purchases Fraudulent Purchases Number of purchases marked as fradulent
UA Blocked Fradulent Rev Blocked Fraudulent Revenue Total Blocked Fraudulent Revenue Amount ($)
UA Reported Clicks Reported Clicks Number of times the ad was clicked reported by Ad Networks
UA Clicks Diff Clicks Difference Total Clicks Difference. Formula : Reported Clicks - Tracked Clicks
UA Clicks Difference Percent Clicks Difference Percent Average Clicks Difference Percentage (%) Formula : 100 - 100 * Tracked Clicks / Reported Clicks
UA Lifetime Cost / User Lifetime Cost per Retained User Cohorted cost per N-day Retained User
UA CPC Cost-Per-Click (CPC) Average CPC Amount ($) spend/reported clicks
UA CPI Cost-Per-Install (CPI) Average CPI Amount ($) spend/reported installs
UA CPM Cost-Per-1000-Impressions (CPM) Average CPM Amount ($) 1000 * spend/reported impressions
UA CPR Completion Rate (CPR) Average CPR Percentage (%) 100 * reported installs / reported impressions
UA CTR Click-Through-Rate (CTR) Average CTR Percentage (%) 100* reported clicks / reported impressions
UA CVR Conversion Rate (CVR) Average CVR Percentage (%) 100 * reported installs / reported clicks
UA Impressions Reported Impressions Number of times your ad was displayed
UA Reported Installs Reported Installs Number of installs reported by Ad Networks
UA Installs Diff Installs Difference Total Installs Difference. Reported Installs - Tracked Installs
UA Installs Difference Percent Installs Difference Percent Average Installs Difference Percentage (%). 100 - 100 * Tracked Installs / Reported Installs
UA Lifetime Active Days / User Lifetime Active Days Per User Average number of active days for a user
UA Sessions Sessions Average Sessions
UA Lifetime Sess / User Lifetime Sessions Per User Average Sessions per User
UA Spend Spend Amount spent to acquire users (in USD)
UA tCPI Cost-Per-Tracked Install (tCPI) Average tCPI Amount ($) spend / tracked installs
UA Tracked Clicks Tracked Clicks Number of times your ad was clicked (Tenjin tracked)
UA Tracked CVR Tracked Conversion Rate (CVR) Average CVR Percentage (%) 100 * tracked installs / tracked clicks
UA Tracked Impressions Tracked Impressions Number of impressions tracked by Tenjin
UA Tracked Installs Tracked Installs Number of Installs tracked by Tenjin
UA Tracked Reinstalls Tracked Reinstalls Number of Reinstalls tracked by Tenjin
UA CP N-Day User Cost per N-Day Retained User Cost per users that comes back N days after install (installs here are reported by the ad network). Formula - spend * (users_0d/reported installs) / users_Nd
UA N-Day Sess N-Day Sessions Number of times an app was opened after post install on the day of install (N day)
UA CP K N-Day Sessions Cost per 1000 N-Day Sessions Average Cost per 1000 N-Day Sessions Amount ($)
UA Purchasers Unique Purchasers Number of the unique purchasers
UA Transactions Purchase Transactions Number of the total purchase counts
UA N-Day Cost / Purchase N-Day Cost Per Purchase Transactions Cost divided by cumulative total purchase counts N days after the install
UA N-Day Cost / Purchaser N-Day Cost Per Returning Purchaser Cost divided by returning purchase user N days after the install
UA N-Day Cumul Revenue N-Day Cumulative Purchase Revenue Cumulative purchase revenue N days after the install
UA N-Day Revenue / User N-Day Cumulative Purchase Revenue per Acquired User Cumulative purchase revenue N days after the install, divided by the number of acquired users
UA N-Day Cumul Txns N-Day Cumulative Purchase Transactions Cumulative purchase counts N days after the install
UA N-Day Txns per User N-Day Cumulative Purchase Transactions per Acquired User Cumulative purchase counts N days after the install, divided by the number of acquired users
UA N-Day Participation N-Day Purchaser Participation Percent of unique purchasers N days after the install out of the number of acquired users
UA N-Day Purchasers N-Day Unique Purchasers Cumulative unique purchasers N days after the install
UA Average Average Purchase Value per Transaction Total purchase revenue, divided by total purchase counts
UA Revenue Purchase Revenue Total purchase revenue

变现-指标

报告类型 缩写 完整名称 描述
AM Reported Ad Revenue Reported Ad Revenue Total Ad Revenue reported by Ad Network ($)
AM eCPC Effective Cost per Click (eCPC) Ad Revenue per Click ($)
AM eCPM Effective Cost per Mille (eCPM) Ad Revenue per 1000 Impressions ($)
AM Reported Clicks Reported Clicks Total Clicks reported by Ad Network
AM Impressions Reported Impressions Total Impressions reported by Ad Network

SKAdnetwork 指标

报告类型 缩写 完整名称 描述
SKAN Conversions Conversions Number of Conversion postbacks forwarded by Ad Networks (includes redownloads and first downloads)
SKAN Conversion Value Average Conversion Value Average Average of Conversion Values forwarded by Ad Networks (includes redownloads and first downloads)
SKAN Conversion Value Total Conversion Value Total Sum of Conversion Values forwarded by Ad Networks (includes redownloads and first downloads)
SKAN Ad Network SKAN Installs Ad Network SKAN Installs Number of Conversion postbacks received for first downloads forwarded by Ad Networks
SKAN First Download CV Avg First Download Conversion Value Average Average Conversion Value for first downloads forwarded by Ad Networks
SKAN First Download CV Total First Download Conversion Value Total Sum of Conversion Values for first downloads forwarded by Ad Networks
SKAN Redownloads Redownloads Number of Conversion postbacks received for redownloads forwarded by Ad Networks
SKAN Redownload CV Avg Redownload Conversion Value Average Average Conversion Value for redownloads forwarded by Ad Networks
SKAN Redownload CV Total Redownload Conversion Value Total Sum of Conversion Values for redownloads forwarded by Ad Networks (includes redownloads and first downloads)
SKAN Assists Assists Ad network forwarded ad impressions that were shown to a user that ultimately downloaded the app, but were not awarded with an attribution. Introduced in SKAdNetwork 3.0, this corresponds to postbacks with did-win=false.
SKAN Redownload Assists Redownload Assists Number of Assist postbacks received for redownloads forwarded by Ad Networks
SKAN First Download Assists First Download Assists Number of Assist postbacks received for first downloads forwarded by Ad Networks
SKAN Apple Conversions Apple Conversions Number of Conversion postbacks forwarded by Apple (includes redownloads and first downloads)
SKAN Apple Conversion Value Average Apple Conversion Value Average Average of Conversion Values forwarded by Apple (includes redownloads and first downloads)
SKAN Apple Conversion Value Total Apple Conversion Value Total Sum of Conversion Values forwarded by Apple
SKAN Apple SKAN Installs Apple SKAN Installs Number of Conversion postbacks received for first downloads forwarded by Apple
SKAN Apple First Download CV Avg Apple First Download CV Avg Average Conversion Value for first downloads forwarded by Apple
SKAN Apple First Download CV Total Apple First Download CV Total Sum of Conversion Values for first downloads forwarded by Apple
SKAN Apple Redownloads Apple Redownloads Number of Conversion postbacks received for redownloads forwarded by Apple
SKAN Apple Redownload CV Avg Apple Redownload CV Avg Average Conversion Value for redownloads forwarded by Apple
SKAN Apple Redownload CV Total Apple Redownload Conversion Value Total Sum of Conversion Values for redownloads forwarded by Apple
SKAN Apple Assists Apple Assists Apple forwarded ad impressions that were shown to a user that ultimately downloaded the app, but were not awarded with an attribution. Introduced in SKAdNetwork 3.0, this corresponds to postbacks with did-win=false.
SKAN Apple Redownload Assists Apple Redownload Assists Number of Assist postbacks received for redownloads forwarded by Apple
SKAN Apple First Download Assists Apple First Download Assists Number of Assist postbacks received for first downloads forwarded by Apple
  • 报告类型:
    • UA: User Acquistion 用户获取
    • AM: Ad Monetization 广告变现
    • SKAN: SKAdNetwork
注意

所有的N日指标都是基于归因分群(Cohort)的指标,并按用户获取日期(Acquisition Date)进行分组。其他非Cohort类指标则按日历日期(Calendar Date)分组。详情请参考下文。


面板上常用群组分析

详细信息

以下是常用的群组分析:

  • 以买量日期 - 按买量日期对用户进行细分和分组是应用营销人员最重要的工作之一。 它允许营销人员计算 x-Day 留存率和 x-Day LTV 等指标。

  • 用户属性 - 按渠道、广告计划、国家等对用户进行细分和分组,允许营销人员查看不同维度的指标。 通过这些维度分析用户可以揭示哪些用户想要您的应用程序,哪些用户不想要您的应用程序。

另外,营销人员也可以借助 DataVault 进行定制化的深度群组分析。 DataVault 允许营销人员通过原始数据访问的各种维度和指标构建自定义群组。 例如,设备层级的数据可以让营销人员建立相似的受众,以进行持续的广告活动优化。