Analytics Explorer

Contents

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 to 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 User Interface

Log in to Kochava.
Select the desired Account and App.
Select Analytics > Dashboard > Explorer.

Feature Note: To add this menu item to your Favorites Menu, select the “+” sign that appears when you hover over the menu. The Features Menu provides quick access to your most frequently visited areas of the Kochava UI.

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.

Filters:

Filters can be used to further refine, organize and visualize the displayed data in a method that is most beneficial. Multiple filters can be added and saved for later use.

Click + Add Filter.
Added filters may be inclusive or exclusive. Select from the following filters categories:
1. App — Based on the available apps within account.
2. Events — Based on Standard or Custom events.
3. Location — Based on IP address.
4. Attribution — Based on attributed installs and campaign attribution settings.
5. Campaign — Based on campaign naming conventions.
6. Device — Based on user agent.
7. Traffic Verification — Based on Traffic success or failure.
8. Agency — Based on the available apps within the agency account.

Once the filter category has been selected, one or more values may be added per filter. Filters can be saved and reapplied within any of the Analytics pages.

Select the Filter drop-down menu, Select desired Filter.
Add desired values.
Click “X” to remove Filter.

A. Filters
B. Click “+ Add Filter” to add metric
C. Click “X” to remove metric
D. Click “X” to remove Filter and associated Metric(s)
E. Click “Clear” to remove all Filters.

Time Range:

The date range filter provides the option to refine the window of data that is displayed. The following range types and time ranges are available for selection:

Last:
- last day
- last week
- last month
- last quarter
- last year
Previous:
- previous calendar week
- precious calendar month
- previous calendar year
Custom:
- Start (Inclusive):
  - Relative Date/Time — This option provides a text field in which a number can be manually entered and a drop-down box where the following options:
    - Days Before
    - Seconds Before
    - Minutes Before
    - Hours Before
    - Weeks Before
    - Months Before
    - Quarters Before
    - Years Before
  - Specific Date/Time — A manual date/time may be entered or the calendar and time selection tool may be used.
  - Now — This is the selection of the current date and time.
  - Midnight — This is the selection of the current date and the time selection of midnight or (24:00hrs).
- End (Exclusive):
  - Specific Date/Time — A manual date/time may be entered or the calendar and time selection tool may be used.
  - Relative Date/Time — This option provides a text field in which a number can be manually entered and a drop-down box where the following options:
    - Days After
    - Seconds After
    - Minutes After
    - Hours After
    - Weeks After
    - Months After
    - Quarters After
    - Years After
  - Now — This is the selection of the current date and time.
  - Midnight — This is the selection of the current date and the time selection of midnight or (24:00hrs).
Advanced:
- Start (Inclusive) — Manually enter today or a specific desired start date.
- End (Exclusive) — Manually enter today or a specific desired end date.
Previous:
- previous calendar week
- previous calendar month
- previous calendar year
No filter:

A. After range selection, select the desired time range.
B. Time range that will be displayed.

Cohorts:

Within Kochava, Cohorts are groups of users that installed an app within a specific date range.

From the Cohort drop-down menu, Select one of the following:
1. All Time — Displays all Event and all Install data for the selected date range.
2. All Installs — Displays all Installs data within cohort date range.
3. Attributed Installs — Displays only Attributed Installs within cohort date range.
4. Unattributed Installs — Displays on Unattributed Installs within cohort date range.

When a Cohort is selected, the Cohort date field will be presented. Data for users who fall within the Cohort during the Cohort date range will be visualized within the defined Analytics date range.

USE CASE: In the example shown below, the Attributed Install Cohort has been selected with a date range of 4/18/2019 thru 4/30/2019. The data for that group of users will now be displayed within the Analytics date range.

A. Cohort Date Range: This date range determines the group of users to display within the Analytics Date Range
B. Analytics Date Range: This date range determines the overall length of time displayed
C. Data displaying the selected Cohort within the Analytics Date Range

NOTE: By default, All Time is applied which displays all relevant data.

NOTE: If a Cohort is applied, that Cohort will stay active until deactivated even when navigating to other Analytic pages.

Currency:

By default cost data is displayed in US Dollars, however cost data may be displayed in a variety of other currency.

From the Currency drop-down menu select one of the following:

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: Only the first 250 rows will be displayed for the highest level dimension defined within the view. Adding a highest level dimension with over 250 unique combinations can produce varying results depending on dimension order.

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.

NOTE: Analytics Explorer surfaces revenue sent on revenue event payloads.

A. Dimensions and Metrics can be updated and organized as needed
B. Chart displaying selected Dimensions and Metrics
C. Dimension expand button.
D. Summary values are a sum of each row in the Metrics column. The only exception(s) to this are the RPU and RPI Metrics in which Kochava takes an average of the column.

Explorer Organization

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

NOTE: The dimensions available is dependent on the data that is being sent to Kochava.

NOTE: For more information about how the Partner fields map to SAN metadata, please refer to our SAN Networks Campaign Data Mapping support documentation.

Within the Dimensions section, Click the “+” icon and Select one of the following:
1. Agency Name
2. App ID
3. App Name
4. App Version
5. Campaign
6. Creative
7. Segment
8. Tracker
9. Device Carrier Name
10. Device Language
11. Device Network Conn Type
12. Device Orientation
13. Device Os
14. Device Os Version
15. Device Type
16. Device Version
17. Ad Size
18. Ad Type
19. Churn Liklihood
20. Churn Score
21. Currency
22. Friends Invited
23. Items in Cart
24. Mtr Rejected
25. Data
26. Device Type
27. Placement
28. Product Brand
29. Product Name
30. Product Sku
31. Product Style
32. Push Campaign
33. Push Segment
34. Receipt Status
35. Revenue
36. Session Duration
37. Subscription Action
38. Sum
39. Total Sessions
40. User Id
41. User Total Revenue To Date
42. Event Name
43. City
44. Country
45. DMA
46. Region
47. Zip
48. Type
49. Install Campaign
50. Install Creative
51. Install Matched By
52. Install Network Name
53. Install Site
54. Install Tracker
55. Matched To
56. Matched By
57. Network Name
58. Network Id
59. Network Key
60. Partner Ad Group Id
61. Partner Ad Group Name
62. Partner Campaign Id
63. Partner Campaign Name
64. Partner Keyword
65. Partner Platform
66. QR Code
67. Site
68. Traffic Verification Fail Reason
69. Traffic Verified
70. By Hour
71. By Day
72. By Week
73. 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.

NOTE: The metrics available is dependent on the data that is being sent to Kochava.

Within the Metrics section, Click the “+” icon and Select one of the following:
1. Events
2. Clicks
3. New Users
4. ROI
5. RPU
6. Revenue
7. Cohort Installs
8. LTV
9. RPI
10. New Users Attr
11. Users
12. CVR
13. Impressions
14. Sessions
15. Average Session Count
16. Average Session Time
17. Events per User
18. Total
19. Search
20. Events per User
21. Total Users
22. Ad View
23. Purchase
24. Push Opened
25. Rating
26. Logout
27. Invite Friend
28. Login
29. Uninstall
30. Subscribe
31. Register
32. 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”.

Predicted Churn

FAA Limited Option: This feature is not available within Free App Analytics. Contact us for more information on upgrading to a paid Kochava account.

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:

Click Add a Filter.
Select Churn Likelihood.
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.

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

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

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.

Updated on March 27, 2025

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