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To send Pinterest Ads data to BigQuery, connect your advertiser account to Kondado and set BigQuery as your destination. Select the desired pipelines, such as Ad Performance, and configure the update schedule based on your operational requirements. The process is automated and requires no coding, enabling traffic managers and data analysts to access structured information directly in Google’s data warehouse.
Kondado replicates Pinterest Ads data to BigQuery automatically on a configurable schedule, enabling traffic managers and data analysts to access campaign metrics, impressions, and clicks directly in Google’s data warehouse.
With automated replication, your operations team can consolidate marketing metrics in one location, facilitating cross-channel analysis with other acquisition sources. The platform supports multiple advertiser accounts, ensuring all your Pinterest campaigns are monitored centrally and efficiently.
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The Ad Performance pipeline delivers detailed metrics including impressions, clicks, cost, and ROAS, enabling marketing managers to analyze return on investment for visual campaigns. You can segment data by campaign, ad group, and status, creating granular analyses within BigQuery.
Additionally, you can combine this information with sales data from your ERP system or e-commerce platform, allowing sales leaders to correlate Pinterest spend with generated revenue. This pipeline also facilitates building custom dashboards in Looker Studio or Power BI, connected directly to BigQuery.
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This connector lets you create custom reports with dimensions and metrics of your choice. In addition to the pre-configured reports below, you can build tailored reports for your needs.
| Report | Description |
|---|---|
| Ad Performance | Analyze performance with metrics such as impressions, clicks, and cost. Detail by campaign, ad group, and ad status. |
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Sync data automatically — no code, no manual exports.
Access the data sources area in the platform, select Pinterest Ads, and authorize access to your advertiser account. The authentication process is quick and does not require complex technical configurations.
Set BigQuery as the data destination, specifying the project and dataset where information will be stored. You can also send data to PostgreSQL, MySQL, or other analytical tools.
Choose the Ad Performance pipeline and configure your desired replication frequency, ranging from 5 minutes to daily. Once activated, data will flow automatically to your data warehouse.
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Try out all the features for free for 14 days