Trackers Report

Tracker data includes stats from Singular’s attribution service or from a third-party attribution tracker you have set up in Singular (such as Appsflyer or Google Analytics). For example, you can run a query to see the clicks (tracker_clicks) and installs (tracker_installs) for each of your campaigns (tracker_campaign_id) in a given date range. Tracker stats also include post-install events and revenue.

The Trackers Report pipeline can be used to request and retrieve tracker data statistics ingested from Singular’s attribution service and third-party attribution trackers you have set up in Singular. Read more about the fields you can track using Trackers Report pipeline here

Configuring the Credentials

Select the account credentials which has access to relevant Singular 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 Trackers Report from the dropdown

Setting Parameters

Parameter Description Values

Insert Mode

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Delete' 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

Number of Days

Required

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

NOTE: A single request can query up to 30 days and has a maximum of 100,000 queried records. Requests querying more than 100,000 records will not succeed and will require additional filtering.

Integer value (Recommended value 2)

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 destination).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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