Analytics Explorer


The Analytics Explorer page provides a detailed breakdown of any dimension and metric within the selected app. The Explorer page is fully customizable and provides the ability include, exclude and reorganize data to maximize efficiency.

NOTE: From any of the other Analytics pages, you can navigate to the Explorer tool and retain the current filter settings. This provides in depth views into any aspect of an app’s data.


Analytics Interface

  1. Log in to Kochava.
  2. Select the desired app.
  3. Select App Tools>Analytics.
  4.  

     

    NOTE: By default, the Analytics Dashboard Interface is loaded.

  5. From the Analytics drop down menu, Select Explorer.
  6.  


Analytics Page Tools

For more information about the tools that can be used on the Analytics page such as date range, filters, sharing the page and exporting device ID, refer to our Analytics Page Tools support documentation.


Explorer Chart Overview

The Explorer chart is divided into 2 main sections, the Dimensions and Metrics selection areas, and the interactive chart.

Dimensions and Metrics can be added, removed and reordered as needed.

Mousing over Dimensions displays the expand button. By clicking on the Dimension expand button, specific level data can be displayed.

NOTE: When leveraging Cross App functionality, Explorer data for all apps within the App Name filter will be displayed. Explorer data may be displayed for each app by utilizing the dimensions feature. For more information on viewing Explorer data by app, refer to the Explorer Organization section.

 

analyticsexploreroverviewhd

A. Dimensions and Metrics can be updated and organized as needed
B. Chart displaying selected Dimensions and Metrics
C. Dimension expand button


Explorer Organization

Explorer data can be organized in many different ways in order to assist in the optimization of data visualization.

  1. Within the Dimensions section, Click the “+” icon and Select one of the following:
    1. App ID
    2. App Name
    3. App Version
    4. Creative
    5. Device Carrier Name
    6. Device Network Conn Type
    7. Device Orientation
    8. Device Os
    9. Device Os Version
    10. Device Type
    11. Device Version
    12. Ad Block Enabled
    13. Ad Size
    14. Ad Type
    15. Countrycode
    16. Currency
    17. Currencycode
    18. Data
    19. Device Type
    20. Game
    21. Pack
    22. Placement
    23. Product
    24. Receipt Status
    25. Revenue
    26. TV Brand Name
    27. TV Channel
    28. TV Channel Name
    29. TV DMA
    30. TV Episode Title
    31. TV Genre
    32. TV Name
    33. TV Product Name
    34. TV Program Name
    35. NOTE: Kochava now provides the tracking of events associated with the serving of advertisements through television. Once the TV advertisement data has been collected, the event data can be visualized within the Analytics dashboard. For instructions on visualizing TV tagging data within Analytics, refer to our TV Tagging support documentation.

    36. User ID
    37. City
    38. Country
    39. Zip
    40. Type
    41. Matched To
    42. Matched By
    43. Network Name
    44. Network ID
    45. Network Key
    46. Site
    47. Traffic Verification Fail Reason
    48. Traffic Verified
    49. By Hour
    50. By Week
    51. By Month

    NOTE: By default, Campaign, Segment, Tracker, Event Name and By Day Dimensions are displayed.

    NOTE: In order to use the App dimension feature (App ID, App Name, App Version), the desired corresponding apps must be added utilizing the filter feature. For more information about adding apps using the filter feature, refer to our Analytics Page Tools support documentation.

  2. Within the Metrics section, Click the “+” icon and Select one of the following:
    1. Cohort Installs
    2. LTV
    3. RPI
    4. ROI
    5. Cost
    6. New Users
    7. New Users Attr
    8. Clicks
    9. CVR
    10. Impressions
    11. Sessions
    12. Average Session Count
    13. Average Session Time
    14. Events per User
    15. Total
    16. Events per User
    17. Total
    18. Custom events being sent to the app

    NOTE: By default, Users, Events, Revenue, RPU, and Average Session Time Metrics are displayed.

    NOTE: (Distinct) Metrics limit the associated event to display only the initial occurrence of a device ID for the given date range.

    Specific Dimensions and Metrics can be removed by Clicking on the “X”.

    Dimensions and/or Metrics can also be reordered by dragging and dropping the Dimensions and/or Metrics into any desired order. Once Dimensions and/or Metrics have been reordered, the interactive chart will be updated to reflect the change.

 

analyticsexplorderreorderdimensionmetricshd

A. Original Configuration
B. Drag and Drop to reorder
C. New Configuration


Predicted Churn

Churn is the rate at which customers install an app and shortly afterwards abandoned the usage of the app. Churn rate is often used as an indicator of the health of an app’s user base. Kochava has created an algorithm that will score the likelihood to churn within only seven days providing marketers the opportunity to mitigate churn or reengage with their retained users. Our machine learning models observe over 30 data points which can include standard post-install events, custom post-install events tracked by the advertiser, and derived/engineered features.

NOTE: By default, churn modeling is not enabled for an app. If churn modeling needs to be enabled, contact your Client Success Management team.

 

Churn Score:

The Churn Score is a numeric representation of the probability that the device will churn. The Churn Score is a number that is between 0 and 1, where the closer the score is to 1 the more likely the device is to churn.

 

Churn Likelihood:

Churn Likelihoods are categories of devices based on the likelihood to churn. The groups represent four ranges of churn scores and are based on a dynamic mid-point that has been optimized for each app/model.

  • Low — A group of devices that has a very low risk of churning. On average, these devices will have a churn score between 0 and 0.25.
  • Medium Low — A group of devices that have a moderately low risk of churning. On average, these devices typically have a churn score between 0.25 and 0.50.
  • Medium High — A group of devices that have a moderately high risk of churning. On average, these devices typically have a churn score between 0.50 and 0.75.
  • High — A group of devices that have the highest likelihood of churn. On average, these devices typically have a churn score of 0.75 or higher.

 

Analytics Explorer provides the most in-depth look into churn, completing the following steps provides the deepest look into churn:

  1. Click Add a Filter.
  2. Select Churn Likelihood.
  3. Add the desired Likelihood Levels:
    • Low — A group of devices that has a very low risk of churning. On average, these devices will have a churn score between 0 and 0.25.
    • Medium Low — A group of devices that have a moderately low risk of churning. On average, these devices typically have a churn score between 0.25 and 0.50.
    • Medium High — A group of devices that have a moderately high risk of churning. On average, these devices typically have a churn score between 0.50 and 0.75.
    • High — A group of devices that have the highest likelihood of churn. On average, these devices typically have a churn score of 0.75 or higher.
    •  

      BEST PRACTICES: Kochava recommends that the focus should be on the higher levels of churn. Focus mainly on the High, Medium High and possibly the Medium Low levels of churn.

  4. Remove Dimensions, except for Network Name.
  5. Add Dimensions>Churn Likelihood
  6.  

    BEST PRACTICES: It is recommended that Network Name be the primary Dimension with Churn Likelihood being the secondary Dimension.

     

  7. Expand the desired Network to view the associated churn data.

 

A. Add a Churn Likelihood filter.
B. Add the Churn Likelihood Dimension and remove other Dimensions except for Network Name.
C. Churn Likelihood Data.

NOTE: The device IDs associated with the higher levels of churn may be exported or saved as an audience for reengagment or push campaigns. For more information about exporting device IDs, refer to our Analytics Page Tools support documentation.


Exporting the Explorer Data

The data displayed within the Explorer chart can be exported in CSV format.

NOTE: Only the highest dimension selected will be displayed as part of the export.

 

AnalyticsExplorerExportDataHD

 
 

Last Modified: Jun 28, 2018 at 1:11 pm