Kayzen reporting API allows you to create, update, list, view and delete your campaign's performance reports

Supported metrics, filters and group_by parameters are listed below.

⚠️ In-App Events are considered metrics.

Use Allowed LTV Events API to get the list of available In App Event metrics (e.g., ltv_u_advertiser_23456_mobobj_43_event_2240793_Purchase) and send them alongside others (e.g., clicks) in your requests

Metrics

Metrics	Description
wins	Total count of auctions won
impressions	Total count of ad-impressions served
clicks	Total count of clicks
conversions	Total count of conversions as defined by a conversion_object
unique_users_v2	Total count of unique devices. See Unique Users in the help center
new_uniques	Estimated number of new unique devices calculated based on rolling 90 day window. See Unique Users in the help center
ct_installs (deprecated)	Total count of click-through attributed installs
vt_installs (deprecated)	Total count of view-through attributed installs
installs	Total number of installs. Value will change based on selected attribution sources (default: mmp) and attribution type(default: Total). See below for more details
win_rate	Value between 0 - 1. Multiply by 100 to get the number in percentage. Win Rate is calculated as Wins/Bids.
ctr	Value between 0 - 1. Multiply by 100 to get the number in percentage. CTR is calculated as clicks/impressions
conversion_rate	Value between 0 - 1. Multiply by 100 to get the number in percentage. Conversion rate is calculated as installs/clicks
ipm	Installs per Mille (1000 impressions). A measure of performance that tells the number of installs generated per 1000 impressions served
video_start	Total count of video start events
video_first_quartile	Total count of video first quartile events
video_midpoint	Total count of video midpoint events
video_third_quartile	Total count of video third quartile events
video_complete	Total count of video complete events
advertiser_ecpm	Effective cost per thousand impressions
advertiser_ecpc	Effective cost per click
advertiser_ecpi	Effective cost per install
advertiser_ecpa	Effective cost per Conversion action as defined by conversion object
advertiser_spend	Cost incurred by advertiser
revenue_ltv	Total revenue generated for the advertiser
roi_ltv	Return on AdSpend (RoAS) = Total revenue generated / Advertiser Spend

The unique_users_v2 metric requires:

Group by: Day (day), Week (week), Month (month) and OS (os_name)
Filter by: a single selection of:
- My App/Website (app_object_id, site_object_id)
- Order (line_item_id)
- Campaign (campaign_id).
Time zone: UTC
Also supports:
- Filters: OS (os_name)

Group by: at least 1 of Day (day), Week (week), Month (month), combined with at least 1 of My App/Website (app_object_name, site_object_name), Order (line_item_id, line_item_name), Campaign (campaign_id, campaign_name).
Time zone: UTC
Also supports:
- Group by: OS (os_name)
- Filters: OS (os_name) or any field used in group by: My App/Website (app_object_id, site_object_id), Order (line_item_id), Campaign (campaign_id)

The new_uniques metric requires:

Group by: Day (day), Week (week), Month (month) and OS (os_name)
Filter by: a single selection of:
- My App/Website (app_object_id, site_object_id)
- Order (line_item_id)
- Campaign (campaign_id).
Time zone: UTC
Also supports:
- Filters: OS (os_name)

Group by: at least 1 of My App/Website (app_object_name, site_object_name), Order (line_item_id, line_item_name), Campaign (campaign_id, campaign_name)
Time zone: UTC
Also supports:
- Group by: Day (day), Week (week), Month (month) and OS (os_name)
- Filters: OS (os_name) or any field used in group by: My App/Website (app_object_id, site_object_id), Order (line_item_id), Campaign (campaign_id)

Cohort Metrics

You can use Cohort metrics. Possible cohort metrics:

Metrics	Description
cohort_size	Cohort Size
cohort_retained_users	Retained Users
cohort_retention_rate	Retention Rate
cohort_revenue	Revenue
cohort_roas	ROAS
cohort_arpu	ARPU
cohort_arppu	ARPPU
cohort_cost_per_reattribution	Cost per Reattribution. Require "rt" cohort_user_segments

When selected cohort metrics you must select Cohort Day Dimensions (cohort_days) and User Segment (cohort_user_segments)

Possible values for cohort_days are: "0", "1", "3", "7", "14", "30".
Possible values of cohort_user_segments:

Metrics	Description
ua	New Installers (UA)
rt	Reattributed users

Filters

Filters	Description	Sample/ Supported Values
advertiser_id	Advertiser ID (for enterprise admin user)	Sample Value - 10234
tag	Array of tags created by the user.	Sample Value - Retargeting, UA, Branding
line_item_id	Array of line item id's. Also represented in the UI as Orders	Sample Value - 104669
campaign_id	Array of unique campaign id's	Sample Value - 138939. Please refer to Campaigns
deal_id	Array of unique deal id's	Sample Value - 2349
creative_id	Array of unique creative ids	Sample Value - 50279679 Please refer to Creatives
exchange_id	Array of programmatic exchange id's	Please refer to Exchanges
app_object_id	Array of unique advertiser app object id's	Sample Value - [10, 12] Please refer to App Objects
site_object_id	Array of unique advertiser website object id's	Sample Value - [11, 13] Please refer to Site Objects
app_id	Array of publisher app ids: Unique Kayzen specific id for every publisher app per exchange	Sample Value- 63webhaubwajhb27820
app_bundle_id	Array of publisher app bundle ids: Unique appstore/playstore bundle ID for publisher app	Sample Value- com.forthblue.pool
user_country_id	Array of country ids: Kayzen specified ID's for every country	Please refer to Countries
user_state_id	Array of state ids: Kayzen specified ID's for every state	Please refer to States
user_city_id	Array of cities ids: Kayzen specified ID's for every city	Please refer to Cities
device_model_id	Array of device model ids: Kayzen specified ID's for every device model	Please refer to Device Models
manufacturer_id	Array of manufacturer ids: Unique ID for device manufacturers	Please refer to Manufacturers (Device)
carrier_id	Array of carrier ids: Unique ID for carriers carriers	Please refer to Carriers
traffic_type	Type of traffic on which campaign served.	Supported Value- InAPP, MobileWeb, Unknown
has_device_identifier	Presence of device id	Supported Value - -> true - 1 -> false - 0
is_rewarded	Type of rewarded inventory	Supported Value - -> true - 1 -> false - 0
connection_type	Type of user connection.	Supported Values - Carrier Network, Wifi
publisher_store_category	Array of app category ids: Kayzen specified value's for every app categories	Please refer to App Categories
advertised_app_store_category	Array of app category ids: Kayzen specified value's for every app categories	Please refer to App Categories
hour	Hour	24 hour format, e.g., 3 or 21
smart_category	Publisher Smart App Categories - Categories	Sample Value- "Casual Games"
smart_genre	Publisher Smart App Categories - Genres	Sample Value- "Simulation"
smart_subgenre	Publisher Smart App Categories - Subgenres	Sample Value- "Weapon Simulator"
campaign_objective	Campaign Objective Type	Supported values: "awareness", "acquisition", "retargeting", "others", "unknown"
advertiser_profile	Advertiser Profile Type	Supported values: "apps", "brand", "e_commerce", "media_buyer", "js_advertisers", "others", "unknown"

Group By

Field	Description	Sample/ Supported Values
year	calendar year	Sample Value - 2019
month	calendar month	Supported Values - 1, 2,12
day	calendar date	Sample Value - 21 March 2019
hour	Hour of the day. Range is 0-23	Sample Value - 1 (for 01:00)
line_item_name	Name of line items. Line items are represented as Orders in the UI	Sample Value - Test Order
line_item_id	ID of line items. Line items are represented as Orders in the UI	Sample Value - 104669
campaign_name	Name of the campaigns	Sample Value - Test Campaign
campaign_id	Unique ID of the campaign	Sample Value - 138939
dealid	Unique PMP deal id's	Sample Value - 2349
campaign_type	Optimization algorithm that the campaign is using.	Supported Values - CPM, CPC, CPI
creative_name	Creative name in the platform	Sample Value - Test Creative
creative_id	Unique ID per creative	Sample Value - 50279679
creative_type	Type/format of creative	Supported Values- Image, HTML, Native Video
device_model	Names of the device models	Supported Values - SM-G960U
is_ssl	Specify whether creative's click and impression URL were secure url's or not	Supported Values - 0 - Non Secure 1- Secure
has_device_identifier	Specifies whether the impression was served on a bid request which had user identifier (IDFA/GAID) present or missing	Supported Values - 0 - Device identifier not present 1- Device identifier present
is_rewarded	Specifies whether the impression was served on a rewarded inventory or not	Supported Values - 0 - Non rewarded inventory 1- Rewarded inventory
video_duration	Length of video file. Example: 15sec, 30sec, 45sec	Sample Value - 15, 29, 30
video_resume	Total count of video resume events	Sample Value - 139282
exchange_name	Name of programmatic exchanges integrated with Kayzen Platform	Please refer to Exchanges
exchange_id	Unique ID for programmatic exchanges on Kayzen platform	Please refer to Exchanges
app_name	Exchange specific publisher app name. Same app might have different names across exchanges	Sample Value - Pool Billiards Pro
app_id	Exchange specific Unique ID for publisher apps. Same app will have different app_id across exchanges	Sample Value- 3b01c74ab91c8f7f78caae7c38428434
app_bundle_id	Playstore/App store bundle id/app id for the publisher app	com.king.candycrushsaga
app_object_name	Advertiser app name in Playstore / AppStore	Sample Value - Angry Birds 2
site_object_name	Advertiser site URL	Sample Value - https://www.amazon.com/
app_object_store_id	Advertiser app's android package Name / iOS App ID	Sample Value - 880047117 com.rovio.baba
user_country_id	List of Kayzen specific Country ID's	Please refer to Countries
country	List of Country names	Please refer to Countries
country_code	Alpha-2 digit ISO country code for every country	Sample Value - US for The United States of America
state_name	List of State names	Sample Value - California
state_code	State Code as defined by ISO-3166-2 standard of all countries coded in ISO 3166-1	Sample Value - US-CA
city_name	List of City names	Sample Value - San Francisco
traffic_type	Type of traffic on which campaign served	Supported Value - InAPP MobileWeb Unknown
carrier_name	List of the user's network names	Sample Value - Vodafone
os_name	Name of the user's device operating system	Please refer to OS- Operating System
os_version_name	Operating system version of user's device	Please refer to OS Version
manufacturer_name	Device's manufacturer name	Please refer to Manufacturers (Device)
manufacturer_id	Kayzen specific unique ID of device manufacturers	Please refer to Manufacturers (Device)
connection_type	Type of user connection	Supported Values - Carrier Network , Wifi
advertiser_name	Advertiser name in Kayzen Platform	Sample Value - Test Advertiser
advertiser_id	Advertiser ID in Kayzen Platform	Sample Value - 12274
publisher_store_category	App store category in Kayzen platform	Please refer to App Categories
advertised_app_store_category	App store category in Kayzen platform	Please refer to App Categories
smart_category	Publisher Smart App Categories - Categories	Sample Value - "Casual Games"
smart_genre	Publisher Smart App Categories - Genre	Sample Value - "Simulation"
smart_subgenre	Publisher Smart App Categories - Subgenre	Sample Value - "Weapon Simulator"
smart_is_gaming	Publisher Smart App Categories - Is Game	Sample Value - "YES"
campaign_objective	Campaign Objective Type	Supported values: "awareness", "acquisition", "retargeting", "others", "unknown"
advertiser_profile	Advertiser Profile Type	Supported values: "apps", "brand", "e_commerce", "media_buyer", "js_advertisers", "others", "unknown"

Attribution Sources

Title	Description
mmp	Values based on MMP attribution. For instance, the install count based on MMP attribution
self	Values based on Self attribution. For instance, the install count based on Self attribution
assisted	Difference between MMP and Self assisted attribution numbers for a given metric. Represented as percentage

Attribution Types

Title	Description
click	Attribution values based on last Click attribution
view	Attribution values based on last view attribution
total	Sum of Click through (CT) and View through (VT) attribution