GMV Max Campaigns Reports

This GMV Max Campaigns Reports pipeline can be used to request and retrieve details of GMV Max Campaigns Reports. Read more about this pipeline here

Configuring the Credentials

Select the account credentials which has access to relevant TikTok data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select GMV Max Campaigns Reports from the dropdown

tiktok ads gmv max campaigns reports list
Advertiser

Select an advertiser from the drop-down.

An advertiser account is the basic account on TikTok For Business platform. Before being able to create and manage ads with TikTok For Business, a user must either own an advertiser account or be granted permission by advertisers to manage their advertiser account and assets.

All advertisers which your credentials have access to should be available here. If they are not, please check the credentials selected / configured by you.
Shop

Select a shop from the drop-down.

Dimensions

Select the dimensions you would like to fetch from the TikTok Ads platform.

Metrics

Select the metrics you would like to fetch from the TikTok Ads platform.

Each of the selected dimensions/metrics will create one or more columns in the database table in the destination warehouse.

Setting Parameters

Parameter Description Values

Insert Mode

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.

Upsert, Append, Replace

Default Value: Upsert

Upsert Key

Dependant

Required

(If Upsert is chosen as the Insert Mode Type)

Enter the field name based on which data is to be upserted.

String value

Number of Days

Required

Number of days for which you wish to get the data in each run.

Integer value

Filtering

Set these conditions according to your requirements. If not set, all the data under the advertiser/shop will be returned.

Click on Add for setting up a new filter.

Available filters are as under:-

Filter Description Values

GMV Max Campaign Type

Optional

Filter the result based on the the GMV Max Campaign type here.

PRODUCT, LIVE

Campaign Status

Optional

Filter the result based on the the GMV Max Campaign status here.

STATUS_DELIVERY_OK, STATUS_DISABLE, STATUS_DELETE

Creative Types

Optional

Filter the result based on the the creative types here.

ADS_AND_ORGANIC, ORGANIC, REMOVED

Advanced Options

Set these optional sorting conditions according to your requirements.

Filter Description Values

Sorting Field

Optional

Use a sorting field to ensure the results are sorted in a logical order.

cost, net_cost, orders, cost_per_order, gross_revenue, roi, product_impressions, product_clicks, product_click_rate, ad_click_rate, ad_conversion_rate, ad_video_view_rate_2s, ad_video_view_rate_6s, ad_video_view_rate_p25, ad_video_view_rate_p50, ad_video_view_rate_p75, ad_video_view_rate_p100, live_views, cost_per_live_view, 10_second_live_views, cost_per_10_second_live_view, live_follows

Sorting Order

Optional

Indicate the sorting order here.

DESC, ASC

Default Value: DESC
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Once report configuration is completed, click on Validate Configuration.

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.

Notifications

Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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