Package 'rmytarget' reference manual

Title:	Load Data from 'MyTarget API v2 and v3'
Description:	Allows work with 'MyTarget Statistics API v2' <https://target.my.com/adv/api-marketing/doc/stat-v2> and 'MyTarget Statistics API v3' <https://target.my.com/adv/api-marketing/doc/stat-v2#statisticsv3> load data by ads, campaigns, agency clients and statistic from your ads account.
Authors:	Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer:	Alexey Seleznev <[email protected]>
License:	MIT + file LICENSE
Version:	2.4.0
Built:	2025-02-02 05:11:11 UTC
Source:	https://github.com/selesnow/rmytarget

Paxkage for load data from 'MyTarget' API.

Description

Load data from API 'MyTarget' into R, by agancy clients and campaigns

Details

The DESCRIPTION file:

Package:	rmytarget
Type:	Package
Title:	Load Data from 'MyTarget API v2 and v3'
Version:	2.4.0
Date:	2021-10-20
Authors@R:	c(person(given = "Alexey", family = "Seleznev", role = c("aut", "cre"), email = "[email protected]", comment = c(ORCID = "0000-0003-0410-7385")), person(given = "Netpeak", role = c("cph")))
Maintainer:	Alexey Seleznev <[email protected]>
Description:	Allows work with 'MyTarget Statistics API v2' <https://target.my.com/adv/api-marketing/doc/stat-v2> and 'MyTarget Statistics API v3' <https://target.my.com/adv/api-marketing/doc/stat-v2#statisticsv3> load data by ads, campaigns, agency clients and statistic from your ads account.
URL:	https://selesnow.github.io/rmytarget/
Imports:	httr, dplyr, lubridate, stringr, purrr, tidyr
Suggests:	knitr, rmarkdown
VignetteBuilder:	knitr
Depends:	R (>= 3.5.0)
License:	MIT + file LICENSE
Language:	ru
Encoding:	UTF-8
RoxygenNote:	7.1.2
Config/pak/sysreqs:	libicu-dev libssl-dev
Repository:	https://selesnow.r-universe.dev
RemoteUrl:	https://github.com/selesnow/rmytarget
RemoteRef:	HEAD
RemoteSha:	b9aaec72989575a5cc7339a5181fec97a7cc73ef
Author:	Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>), Netpeak [cph]

Index of help topics:

myTarAuth               Authentication in 'MyTarget API'
myTarGetAdList          Get ads list from 'MyTarget'
myTarGetCampaignList    Get campaign list from 'MyTarget'
myTarGetClientList      Get Agency Clients from 'MyTarget'
myTarGetFastStats       Returns Basic Statistics in Real Time
myTarGetGoalList        Get goal list from 'MyTarget'
myTarGetGoalsStats      Get Goal Statistics from 'MyTarget'
myTarGetInAppStats      Returns statistics on mobile app events
                        attributed with advertising impressions
                        myTarget by campaigns and banners
myTarGetOfflineConversionsStats
                        Returns Statistics on Events Attributed With
                        'myTarget' Ad Impressions From Offline
                        Conversion Lists for Campaigns
myTarGetStats           Get stat by clients, campaigns or banners from
                        'API MyTarget'
myTarRefreshToken       Refresh Access Token
myTarSetLogin           Set MyTarget login
myTarSetTokenPath       Set path to auth cache
rmytarget-package       Paxkage for load data from 'MyTarget' API.

Author(s)

Alexey Seleznev

References

1. MyTarget API documents 2. MyTarget API statistic methods 3. Authorization

Examples

## Not run: 
# Get objects
## Get ads
Ads <- myTarGetAdList(login = "my_test_client")

## Get campaigns
Campaigns <- myTarGetCampaignList(login = "my_test_client")

# Get statistic
# base metrics by campaigns
base_data <- myTarGetTotalData(date_from   = Sys.Date() - 7,
                               date_to     = Sys.Date(),
                               object_type = "campaigns",
                               object_id = Campaigns$id,
                               metrics = "base",
                               stat_type = "day",
                               login = "my_test_client", 
                               token_path = "mytarget_token")

# all metrics by campaigns
all_data <- myTarGetTotalData(date_from   = Sys.Date() - 7,
                              date_to     = Sys.Date(),
                              object_type = "campaigns",
                              object_id = Campaigns$id,
                              metrics = "all",
                              stat_type = "day",
                              login = "my_test_client", 
                              token_path = "mytarget_token")

# custom set of metric by campaigns
custom_data <- myTarGetTotalData(date_from   = Sys.Date() - 7,
                                 date_to     = Sys.Date(),
                                 object_type = "campaigns",
                                 object_id = Campaigns$id,
                                 metrics = c("base", "tps", "viral"),
                                 stat_type = "day",
                                 login = "my_test_client", 
                                 token_path = "mytarget_token")


# if have note objects id, base metrics by ads
base_data2 <- myTarGetStats(date_from   = as.Date("2013-01-01"),
                                date_to     = Sys.Date(),
                                object_type = "banners",
                                metrics = "base",
                                stat_type = "day",
                                login = "my_test_client", 
                                token_path = "mytarget_token")

## End(Not run)
## Not run: 
# Get objects
## Get ads
Ads <- myTarGetAdList(login = "my_test_client")

## Get campaigns
Campaigns <- myTarGetCampaignList(login = "my_test_client")

# Get statistic
# base metrics by campaigns
base_data <- myTarGetTotalData(date_from   = Sys.Date() - 7,
                               date_to     = Sys.Date(),
                               object_type = "campaigns",
                               object_id = Campaigns$id,
                               metrics = "base",
                               stat_type = "day",
                               login = "my_test_client", 
                               token_path = "mytarget_token")

# all metrics by campaigns
all_data <- myTarGetTotalData(date_from   = Sys.Date() - 7,
                              date_to     = Sys.Date(),
                              object_type = "campaigns",
                              object_id = Campaigns$id,
                              metrics = "all",
                              stat_type = "day",
                              login = "my_test_client", 
                              token_path = "mytarget_token")

# custom set of metric by campaigns
custom_data <- myTarGetTotalData(date_from   = Sys.Date() - 7,
                                 date_to     = Sys.Date(),
                                 object_type = "campaigns",
                                 object_id = Campaigns$id,
                                 metrics = c("base", "tps", "viral"),
                                 stat_type = "day",
                                 login = "my_test_client", 
                                 token_path = "mytarget_token")


# if have note objects id, base metrics by ads
base_data2 <- myTarGetStats(date_from   = as.Date("2013-01-01"),
                                date_to     = Sys.Date(),
                                object_type = "banners",
                                metrics = "base",
                                stat_type = "day",
                                login = "my_test_client", 
                                token_path = "mytarget_token")

## End(Not run)

Authentication in 'MyTarget API'

Description

Authentication in 'MyTarget API' by Code Grant Schema or other auth schems. For detail you can see documentation.

Usage

myTarAuth(
  login = getOption("rmytarget.login"),
  grant_type = "client_credentials",
  client_id = getOption("rmytarget.client_id"),
  client_secret = getOption("rmytarget.client_secret"),
  agency_client_name = NULL,
  code_grant = getOption("rmytarget.code_grant_auth"),
  token_path = myTarTokenPath()
)
myTarAuth(
  login = getOption("rmytarget.login"),
  grant_type = "client_credentials",
  client_id = getOption("rmytarget.client_id"),
  client_secret = getOption("rmytarget.client_secret"),
  agency_client_name = NULL,
  code_grant = getOption("rmytarget.code_grant_auth"),
  token_path = myTarTokenPath()
)

Arguments

`login`	Account name, used in file name if you save credential
`grant_type`	Your account grant, get one of two values, "client_credentials" or "agency_client_credentials". Not use in Code Grant Schema.
`client_id`	Yoyr client ID. Not use in Code Grant Schema.
`client_secret`	Your client secret. Not use in Code Grant Schema.
`agency_client_name`	Your client user name. Only for "agency_client_credentials" grant_type.
`code_grant`	logical, Use code gran authorise schema, detail
`token_path`	Path to directory where you save credential data.

Value

No return value, called for side effects

Author(s)

Alexey Seleznev

Examples

## Not run: 
# Recomendation auth by code grant schema
myTarAuth(login = "my_account_name")


## End(Not run)						  
## Not run: 
# Recomendation auth by code grant schema
myTarAuth(login = "my_account_name")


## End(Not run)

Get ads list from 'MyTarget'

Description

Get ads list from 'MyTarget'

Usage

myTarGetAdList(
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath(),
  request_speed = 1.2
)
myTarGetAdList(
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath(),
  request_speed = 1.2
)

Arguments

`auth`	MyTarget Autherization R object. See `myTarAuth`
`login`	Account name, used in file name if you save credential
`token_path`	Path to directory where you save credential data.
`request_speed`	Integer, or one of slow, normal, fast. Pause between requests to API

Value

Data frame with banners list

Examples

## Not run: 
myAds <- myTarGetAdList(login = "my_test_client")

## End(Not run)
## Not run: 
myAds <- myTarGetAdList(login = "my_test_client")

## End(Not run)

Get campaign list from 'MyTarget'

Description

Get campaign list from 'MyTarget'

Usage

myTarGetCampaignList(
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath(),
  request_speed = 1.2
)
myTarGetCampaignList(
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath(),
  request_speed = 1.2
)

Arguments

`auth`	MyTarget Autherization R object. See `myTarAuth`
`login`	Account name, used in file name if you save credential
`token_path`	Path to directory where you save credential data.
`request_speed`	Integer, or one of slow, normal, fast. Pause between requests to API

Value

Data frame with campaigns list

Examples

## Not run: 
myTargetCampaign <- myTarGetCampaignList(myTargetAuth)

## End(Not run)

## Not run: 
myTargetCampaign <- myTarGetCampaignList(myTargetAuth)

## End(Not run)

Get Agency Clients from 'MyTarget'

Description

Get Agency Clients from 'MyTarget'

Usage

myTarGetClientList(
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)
myTarGetClientList(
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)

Arguments

`auth`	MyTarget Autherization R object. See `myTarAuth`
`login`	Account name, used in file name if you save credential
`token_path`	Path to directory where you save credential data.

Value

data frame with agency clients

Examples

## Not run: 
myTarSetLogin("Your Login")
clients <- myTarGetClientList()

## End(Not run)
## Not run: 
myTarSetLogin("Your Login")
clients <- myTarGetClientList()

## End(Not run)

Returns Basic Statistics in Real Time

Description

returns basic statistics on advertising objects in real time, without taking into account the filtering of incorrect traffic. The summary statistics can vary significantly.

Usage

myTarGetFastStats(
  object_type = "campaigns",
  object_id = NULL,
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)
myTarGetFastStats(
  object_type = "campaigns",
  object_id = NULL,
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)

Arguments

`object_type`	API object type, character value, apply one of campaigns, banners, users
`object_id`	ID of API object (id campaign or any object)
`auth`	R auth object
`login`	Your login, or client name in MyTarget account
`token_path`	Path to directory where you save credential data

Value

tibble with fast statistics

Examples

## Not run: 
rt_stat <- myTarGetFastStats()

## End(Not run)
## Not run: 
rt_stat <- myTarGetFastStats()

## End(Not run)

Get Goal Statistics from 'MyTarget'

Description

Get Goal Statistics from 'MyTarget'

Usage

myTarGetGoalsStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_type = "campaigns",
  object_id = NULL,
  attribution = c("impression", "conversion"),
  conversion_type = c("postview", "postclick", "total"),
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)
myTarGetGoalsStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_type = "campaigns",
  object_id = NULL,
  attribution = c("impression", "conversion"),
  conversion_type = c("postview", "postclick", "total"),
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)

Arguments

`date_from`	Start date
`date_to`	End date
`object_type`	API object type, character value, one of campaigns, banners, users.
`object_id`	ID of API object (id campaign or any object).
`attribution`	Attributing by event time or impression time. Available options: conversion, impression, default.
`conversion_type`	Conversion type: postclick - postclick, postview - postview, total - total.
`auth`	MyTarget Autherization R object. See `myTarAuth`
`login`	Path to directory where you save credential data
`token_path`	Your login, or client name in MyTarget account

Value

data frame with goal statics

Returns statistics on mobile app events attributed with advertising impressions myTarget by campaigns and banners

Description

Returns statistics on mobile app events attributed with advertising impressions myTarget by campaigns and banners

Usage

myTarGetInAppStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_type = "campaigns",
  object_id = NULL,
  attribution = c("conversion", "impression"),
  conversion_type = c("postview", "postclick", "total"),
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)
myTarGetInAppStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_type = "campaigns",
  object_id = NULL,
  attribution = c("conversion", "impression"),
  conversion_type = c("postview", "postclick", "total"),
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)

Arguments

`date_from`	Start date
`date_to`	End date
`object_type`	API object type, character value, apply one of campaigns, banners, users
`object_id`	ID of API object (id campaign or any object)
`attribution`	Attributing by event time or impression time. Available options: conversion, impression
`conversion_type`	Conversion type: postclick - postclick, postview - postview, total - total.
`auth`	R auth object
`login`	Your login, or client name in MyTarget account
`token_path`	Path to directory where you save credential data

Value

tibble with fast statistics

Examples

## Not run: 
rt_stat <- myTarGetFastStats()

## End(Not run)
## Not run: 
rt_stat <- myTarGetFastStats()

## End(Not run)

Returns Statistics on Events Attributed With 'myTarget' Ad Impressions From Offline Conversion Lists for Campaigns

Description

Returns Statistics on Events Attributed With 'myTarget' Ad Impressions From Offline Conversion Lists for Campaigns

Usage

myTarGetOfflineConversionsStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_id = NULL,
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)
myTarGetOfflineConversionsStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_id = NULL,
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath()
)

Arguments

`date_from`	Start date
`date_to`	End date
`object_id`	Campaigns IDs
`auth`	R auth object
`login`	Your login, or client name in MyTarget account
`token_path`	Path to directory where you save credential data

Value

tibble with offline conversions statistics

Get stat by clients, campaigns or banners from 'API MyTarget'

Description

Get stat by clients, campaigns or banners from 'API MyTarget'

Usage

myTarGetStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_type = "campaigns",
  object_id = NULL,
  stat_type = "day",
  metrics = "base",
  package_id = NULL,
  attribution = c("conversion", "impression", "default"),
  banner_status = NULL,
  campaign_status = NULL,
  sort_by = NULL,
  sort_direction = c("asc", "desc"),
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath(),
  api_version = getOption("rmytarget.stat_api_version")
)
myTarGetStats(
  date_from = Sys.Date() - 7,
  date_to = Sys.Date(),
  object_type = "campaigns",
  object_id = NULL,
  stat_type = "day",
  metrics = "base",
  package_id = NULL,
  attribution = c("conversion", "impression", "default"),
  banner_status = NULL,
  campaign_status = NULL,
  sort_by = NULL,
  sort_direction = c("asc", "desc"),
  auth = NULL,
  login = getOption("rmytarget.login"),
  token_path = myTarTokenPath(),
  api_version = getOption("rmytarget.stat_api_version")
)

Arguments

`date_from`	Start date
`date_to`	End date
`object_type`	API object type, character value, one of campaigns, banners, users.
`object_id`	ID of API object (id campaign or any object).
`stat_type`	Breakdown by day, possible values: day, summary.
`metrics`	Set of metrics or fields, see metrics section for more ditali, default "base", but you can load any of all, base, events, video, viral, uniques, tps, or go this MyTarget Stat API v2 or MyTarget Stat API v3.
`package_id`	List of package identifiers. Available for banner statistics.
`attribution`	Attributing by event time or impression time. Available options: conversion, impression, default.
`banner_status`	Banner statuses list, available for campaign and banner statistics. Possible values: all, active, blocked, deleted.
`campaign_status`	List of campaign statuses, available for campaign and banner statistics. Possible values: all, active, blocked, deleted.
`sort_by`	The field by which identifiers of campaigns, banners or users will be sorted. Available metrics: base, events, video, viral, carousel, tps, moat, playable, romi.
`sort_direction`	Sorting direction. Available options: asc, desc
`auth`	MyTarget Autherization R object. See `myTarAuth`
`login`	Path to directory where you save credential data
`token_path`	Your login, or client name in MyTarget account
`api_version`	MyTarget Statistic API version: v2, v3

Value

Data frame with statistic.

Sets of metrics

You can load different sets of metrics, for this use metrics arguments, and set a vector containing the names of the desired metric sets. For more details of v2 API go this link. For more details of v3 API go this link. For example: metrics = c("base", "video", "viral")

base - based metrcis.

shows: Number of impressions
clicks: Number of clicks
goals: Number of goals achieved
spent: Cost sum
cpm: Average cost per 1000 views
cpc: Average cost per click
cpa: Average cost per goals
ctr: Percentage of clicks to views
cr: Percentage ratio of the number of goals achieved to the number of clicks.

events - metrics for advertised posts on social media feeds.

opening_app: Number of discoveries of the advertised social networks application
opening_post: Number of discoveries of the advertised message in the social media feed
moving_into_group: Number of transitions to the group page from the advertised message
clicks_on_external_url: Number of clicks on the external link in the advertised message
launching_video: Number of video launches in advertised message
comments: Number of comments left in the advertised message
joinings: Number of joining the group through the advertised message
likes: Number of likes of the advertised message
shares: Number of action "Share" for the advertised message.
votings: Number of voting actions in the advertised message

uniques - metrics by the number of unique users.

reach: Number of unique users who saw the ad for the specified period
total: Number of unique users who saw an ad for all time
increment: Number of new unique users who saw the ad for the specified period
frequency: Average frequency of displaying ads to one unique user

video - metrics for video ads.

started: Number of video playback starts
paused: Number of pauses of video playback
resumed_after_pause: Number of video playback after pause
fullscreen_on: Number of full-screen video playbacks
fullscreen_off: Number of shutdowns of full-screen video playback
sound_turned_off: Number of video mute
sound_turned_on: Number of video sound starts
viewed_10_seconds: Number of views of the first 10 seconds of the video
viewed_25_percent: Number of views of the first 25 percent of the video duration
viewed_50_percent: Number of views of the first 50 percent of the video duration
viewed_75_percent: Number of views of the first 75 of the video duration
viewed_100_percent: Number of views 100 percent of the video duration
viewed_10_seconds_rate: Percentage of views with the achievement of the first 10 seconds of the video
viewed_25_percent_rate: Percentage of views with the achievement of the first 25 percent of the video duration
viewed_50_percent_rate: Percentage of views with the achievement of the first 50 percent of the video duration
viewed_75_percent_rate: Percentage of views with the achievement of the first 75 percent of the video duration
viewed_100_percent_rate: Percentage of views with the achievement of the first 100 percent of the video duration
depth_of_view: Average video viewing depth (percent)
view_10_seconds_cost: Average cost of watching the first 10 seconds of a video
viewed_25_percent_cost: Average viewing cost of the first 25 percent of video length
viewed_50_percent_cost: Average viewing cost of the first 50 percent of video length
viewed_75_percent_cost: Average viewing cost of the first 75 percent of video length
viewed_100_percent_cost: Average viewing cost of the first 100 percent of video length

viral - metrics of viral events.

viral_impressions: Number of impressions of the shared advertising message in social networks
viral_reach: Number of unique users who saw the shared advertising message for the specified period
viral_total: Total number of unique users who have seen the shared advertising message for all time
viral_increment: Number of new unique users who saw the shared advertising message for the specified period
viral_frequency: Average frequency of displaying a shared advertising message to one unique user
viral_opening_app: Number of openings of the advertised application from the shared advertising message
viral_opening_post: Number of discoveries of the shared advertised message in the social media feed
viral_moving_into_group: number of transitions to the group page from the shared advertised message
viral_clicks_on_external_url: Number of clicks on the external link in the shared advertised message
viral_launching_video: Number of video launches in the shared advertised message
viral_comments: Number of comments left in the shared advertised message
viral_joinings: Number of joining the group through the shared advertised message
viral_likes: Number of likes of the shared advertised message
viral_shares: Number of actions "Share" for the shared advertised message
viral_votings: Number of voting actions in the shared advertised message

carousel - statistics on individual slides of the advertising carousel (N - from 1 to the number of slides).

slide_N_shows: Number of N slide shows
slide_N_clicks: Number of clicks on slide N
slide_N_ctr: Percentage ratio of clicks to the number of views on slide N

tps - additional write-off statistics.

tps: Additional charges for using the moat service
tpd: Additional charges for using third-party data (from dmp).

moat - statistics according to the moat service.

impressions: Number of impressions
in_view: Number of visible shows
never_focused: Number of impressions in the inactive tab
never_visible: Number of impressions out of sight
never_50_perc_visible: Additional charges for using third-party data (from dmp).
never_1_sec_visible: Number of impressions with visibility duration less than 1 second
human_impressions: Number of verified impressions
impressions_analyzed: number of impressions analyzed
in_view_percent: Number of impressions analyzed
human_and_viewable_perc: Percentage of visible hits
never_focused_percent: Verified impression percentage
never_visible_percent: Impression percentage in inactive tab
never_50_perc_visible_percent: The percentage of orders with a zone of visibility of the ad is less than 50 percent
never_1_sec_visible_percent: Percentage of impressions with visibility duration less than 1 second
in_view_diff_percent: Visible impression difference
active_in_view_time: Average time the ad is in view
attention_quality: Engagement level

playable - Playable Ads metrics.

playable_game_open: Opening the game
playable_game_close: Closing the game
playable_call_to_action: Clicks

romi - Playable Ads metrics.

value: The given value of the event
romi: Return on investment
adv_cost_share: Ad spend share

Examples

## Not run: 
# base metrics by campaigns
base_data <- myTarGetStats(date_from   = Sys.Date() - 7,
                           date_to     = Sys.Date(),
                           object_type = "campaigns",
                           metrics = "base",
                           stat_type = "day",
                           login = "client_login", 
                           token_path = "D:\\mytarget_token")

# all metrics by campaigns
all_data <- myTarGetStats(date_from   = Sys.Date() - 7,
                          date_to     = Sys.Date(),
                          object_type = "campaigns",
                          metrics = "all",
                          stat_type = "day",
                          login = "client_login", 
                          token_path = "D:\\mytarget_token")

# custom set of metric by campaigns
custom_data <- myTarGetStats(date_from   = Sys.Date() - 7,
                             date_to     = Sys.Date(),
                             object_type = "campaigns",
                             metrics = c("base", "tps", "viral"),
                             stat_type = "day",
                           login = "client_login", 
                             token_path = "D:\\mytarget_token")


# if have note objects id, base metrics by ads
base_data2 <- myTarGetStats(date_from   = as.Date("2013-01-01"),
                            date_to     = Sys.Date(),
                            object_type = "banners",
                            metrics = "base",
                            stat_type = "day",
                            login = "client_login", 
                            token_path = "D:\\mytarget_token")

# get all stats group by clients, only for agency account
client_stat <-  myTarGetStats(date_from   = Sys.Date() - 7,
                              date_to     = Sys.Date(),
                              object_type = "users",
                              metrics     = "all",
                              login       = "agency_login")

## End(Not run)
## Not run: 
# base metrics by campaigns
base_data <- myTarGetStats(date_from   = Sys.Date() - 7,
                           date_to     = Sys.Date(),
                           object_type = "campaigns",
                           metrics = "base",
                           stat_type = "day",
                           login = "client_login", 
                           token_path = "D:\\mytarget_token")

# all metrics by campaigns
all_data <- myTarGetStats(date_from   = Sys.Date() - 7,
                          date_to     = Sys.Date(),
                          object_type = "campaigns",
                          metrics = "all",
                          stat_type = "day",
                          login = "client_login", 
                          token_path = "D:\\mytarget_token")

# custom set of metric by campaigns
custom_data <- myTarGetStats(date_from   = Sys.Date() - 7,
                             date_to     = Sys.Date(),
                             object_type = "campaigns",
                             metrics = c("base", "tps", "viral"),
                             stat_type = "day",
                           login = "client_login", 
                             token_path = "D:\\mytarget_token")


# if have note objects id, base metrics by ads
base_data2 <- myTarGetStats(date_from   = as.Date("2013-01-01"),
                            date_to     = Sys.Date(),
                            object_type = "banners",
                            metrics = "base",
                            stat_type = "day",
                            login = "client_login", 
                            token_path = "D:\\mytarget_token")

# get all stats group by clients, only for agency account
client_stat <-  myTarGetStats(date_from   = Sys.Date() - 7,
                              date_to     = Sys.Date(),
                              object_type = "users",
                              metrics     = "all",
                              login       = "agency_login")

## End(Not run)

Refresh Access Token

Description

Refresh Access Token

Usage

myTarRefreshToken(old_auth = NULL, client_id = NULL, client_secret = NULL)
myTarRefreshToken(old_auth = NULL, client_id = NULL, client_secret = NULL)

Arguments

`old_auth`	Your old auth object. See `myTarAuth`
`client_id`	Your client ID
`client_secret`	Your client secret

Value

No return value, called for side effects

Examples

## Not run: 
auth <- myTarRefreshToken(old_auth = myTargetAuth,
                         client_id = "xxxx",
                         client_secret = "xxxx.")

## End(Not run)
## Not run: 
auth <- myTarRefreshToken(old_auth = myTargetAuth,
                         client_id = "xxxx",
                         client_secret = "xxxx.")

## End(Not run)

Set MyTarget login

Description

Set MyTarget login

Usage

myTarSetLogin(login)
myTarSetLogin(login)

Arguments

Your login, or client name in MyTarget account

Value

No return value, called for side effects

Set path to auth cache

Description

Set path to auth cache

Usage

myTarSetTokenPath(token_path)
myTarSetTokenPath(token_path)

Arguments

token_path

Path to directory where you save credential data

Value

No return value, called for side effects

Package 'rmytarget'

Help Index

Paxkage for load data from 'MyTarget' API.

Description

Details

Author(s)

References

Examples

Authentication in 'MyTarget API'

Description

Usage

Arguments

Value

Author(s)

See Also

Examples

Get ads list from 'MyTarget'

Description

Usage

Arguments

Value

See Also

Examples

Get campaign list from 'MyTarget'

Description

Usage

Arguments

Value

See Also

Examples

Get Agency Clients from 'MyTarget'

Description

Usage

Arguments

Value

See Also

Examples

Returns Basic Statistics in Real Time

Description

Usage

Arguments

Value

Examples

Get goal list from 'MyTarget'

Description

Usage

Arguments

Value

See Also

Get Goal Statistics from 'MyTarget'

Description

Usage

Arguments

Value

See Also

Returns statistics on mobile app events attributed with advertising impressions myTarget by campaigns and banners

Description

Usage

Arguments

Value

Examples

Returns Statistics on Events Attributed With 'myTarget' Ad Impressions From Offline Conversion Lists for Campaigns

Description

Usage

Arguments

Value

Get stat by clients, campaigns or banners from 'API MyTarget'

Description

Usage

Arguments

Value

Sets of metrics

See Also

Examples

Refresh Access Token

Description

Usage

Arguments

Value

Examples