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 TikTok Integration:
We have added several fields to our Pinterest Ads Integration:
We have added several fields to our LinkedIn Integration:
We have added several fields to our Facebook Ads Integration:
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
What's New:
New Report Available
We've added the Ad Group Asset Report, giving you detailed performance metrics for individual assets—such as images, headlines, and videos—within your ad groups. This report enables you to analyze how each creative element is performing, optimize your assets for better results, and build custom reports that showcase which creatives are driving the most impact.
Enhanced API Performance
Our Google Ads connector now runs on API v21, Google's latest version, ensuring you have access to the most up-to-date data and improved reliability.
Expanded Data Fields
We've added 23 new fields across our Google Ads reports:
Ad Group Criterion Display Name
Budget Amount
Click Share
Criterion ID
Criteria Type
Criteria Status
Customer Id
Is Negative Criterion
Keyword Matching Query
Latitude
Longitude
Recommended Budget Amount
Search Term Status
Search Lost IS (Top Rank)
Search (Top) IS
Street Address
User Interest Availabilities
User Interest Id
User Interest Launched To All
User Interest Name
User Interest Parent
User Interest Resource Name
User Interest Taxonomy Type
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.
We've added support for GPT-5, GPT-5 Mini, and GPT-5 Nano in both the AI Insights and AI Insights Executive Summary widgets. You can now select these models when configuring your widgets to analyze your marketing data.
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:
-- 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