We have added several fields to our TikTok Integration:

  • Ad Secondary Status
  • Advertiser Currency
  • Advertiser Name
  • Advertiser Time Zone
  • Campaign Bid Type
  • Campaign Optimization Goal
  • Campaign Secondary Status

We have added several fields to our Pinterest Ads Integration:

  • Ad Creative Type
  • Ad Destination URL
  • Ad Group End Time
  • Ad Group Start Time
  • Ad Image URL
  • Ad Video Cover URL
  • Campaign Start Time

We have added several fields to our LinkedIn Integration:

  • Cost (USD)
  • Creative ID
  • Creative Intended Status
  • External Account Currency
  • External Account Name
  • LinkedIn Campaign Group ID
  • Optimization Target Type
  • Run Schedule End
  • Run Schedule Start

We have added several fields to our Facebook Ads Integration:

  • Account Currency
  • Account Id
  • Account Status
  • Account Time Zone
  • Ad Effective Status
  • Ad Set Status
  • Conversion Rate Ranking
  • Creative ID
  • Custom Conversion ID
  • Engagement Rate Ranking
  • Optimization Goal
  • Quality Ranking
  • Video 95% Views

We have added several files to our Bing Ads Integration:

Currency Code
Time Zone
Language
Ad Relevance
Budget Association Status
Budget Name
Budget Status
Conv. Rate
Cost/ Conv
CTR
Custom Parameters
Expected Ctr
Historical Ad Relevance

We've made a small but important improvement to how names work in DataCloud:

Connector renames no longer update existing dataset names.

New datasets will no longer automatically append the connector name. If you'd like to include it for clarity, you can add it manually.

Dataset name validation now ensures each name is unique and clearly indicates when a name is already in use.

If a name change doesn't appear right away, simply refresh the page to see the update. (We're adding background refresh in an upcoming fix.)

Note: Renaming a SQL Transform inside the DataSet Builder still doesn't update the name in the Dataset List — a fix for this is coming soon.

Users can now customize ingestion settings for BigQuery, Snowflake Share, and Google Sheets datasets directly within the Dataset configuration screen. This gives you more control over when and how your data syncs, with user-friendly options for sync frequency, schedule timing, and timezone selection.

How to use it:

  1. Navigate to your BigQuery, Snowflake Share, or Google Sheets data source
  2. Select a dataset to edit
  3. Go to the "Schedule Sync" step in the dataset configuration
  4. Configure your preferred settings:

-- Frequency: Choose how often to sync data (once a day or more than once a day)
-- Schedule: Set the specific time for data syncs
-- Timezone: Select your timezone for sync scheduling

Your settings will be saved and applied to all future syncs for that dataset.

You can now add Bing Webmaster data sources through Bulk Management! This enhancement allows users to programmatically create and manage Bing Webmaster data sources via CSV upload, making it easier to scale account setup and management.

In your CSV, enter the Bing Webmaster URL in the "Advertiser-Level Data Source Account ID (Option 1)" column. You can use the "Download Account List CSV" button to get a list of available Bing Webmaster URLs.

Link to documentation: https://docs.ninjacat.io/docs/bulk-management-datasource-connections