Raw Conversions

This Raw Conversions pipeline can be used to request and retrieve a list of conversions.

Read more about the Raw Conversions pipeline here


Conversions older than 1 year will not be returned by this pipeline.

Configuring the Credentials

Select the account credentials which has access to relevant Everflow 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 Raw Conversions from the dropdown

everflow raw conversions list

Setting Parameters

Parameter Description Values

Number of Days


Enter the number of days for which you wish you get the data in each run.


Insert Mode


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

Dependent Required

Specify comma separated Upsert Keys based on which data is to be upserted.

'Upsert Key'



Select the columns that are to be included in the report. Multiple columns can be selected. At least one coumn must be selected. Use 'Select all' to include all columns.

offer, affiliate, advertiser, offer_group, campaign, affiliate_manager, creative, offer_url, category, previous_offer, source_id, sub1, sub2, sub3, sub4, sub5, adv1, adv2, adv3, adv4, adv5, country, region, city, platform, os_version, isp, account_manager, android_id, android_id_md5, android_id_sha1, app_id, brand, browser, carrier, click_date, conversion_id, conversion_user_ip, coupon_code, currency, delta_hours, device, email, error_message, event_name, google_ad_id, google_ad_id_md5, google_ad_id_sha1, http_user_agent, idfa, idfa_md5, idfa_sha1, language, notes, order_id, order_line_items, order_number, payout, payout_type, referrer, revenue, revenue_type, sale_amount, session_ip, transaction_id, type, status, conversion_date, origin

Show Conversions


Specify whether or not base conversions are returned.

{True, False}

Default Value: False

Show Events


Specify whether or not post-conversion events are returned.

{True, False}

Default Value: False

Isolate conversions that were throttled


Specify whether or not to isolate conversions that were throttled.

{True, False}

Default Value: False

Isolate view-through conversions


Specify whether or not to isolate view-through conversions.

{True, False}

Default Value: False

Isolate click-through events


Specify whether or not to isolate click-through events.

{True, False}

Default Value: False

Isolate conversion and events that come from fail traffic


Specify whether or not to isolate conversion and events that come from fail traffic.

{True, False}

Default Value: False

everflow raw conversions config

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.


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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