No-code pipeline · Pinterest Ads → Amazon S3

Send data from Pinterest Ads to Amazon S3

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From Pinterest Ads to Amazon S3: managed, scheduled, no code.
Kondado provides a direct integration between Pinterest Ads and Amazon S3, replicating 619 fields from the Ad Performance pipeline on a configurable schedule ranging from every 5 minutes to daily. The platform delivers structured advertising data including impressions, clicks, ROAS, and campaign hierarchies directly to your S3 bucket, enabling automated data pipelines without manual exports or complex ETL development.

Send Pinterest Ads Data to Amazon S3

Connect your Pinterest Ads account to Kondado, configure your Amazon S3 bucket as the destination, and select the Ad Performance pipeline. Kondado automatically replicates your advertising metrics, campaign details, and engagement data on a configurable schedule that you control. Your Pinterest Ads data lands in Amazon S3 as structured files, ready for analysis with Athena, Presto, or any analytics tool in your stack.

Once your Pinterest Ads data resides in Amazon S3, you can build custom analytics workflows, combine it with other marketing data sources, and power advanced reporting across your organization. This automated replication eliminates manual data exports and ensures your S3 data lake contains fresh advertising metrics for downstream analysis.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pinterest Ads Pipelines for Amazon S3

The Ad Performance pipeline delivers comprehensive metrics including impressions, clicks, and cost across your entire Pinterest Ads account structure. You can analyze performance by campaign, ad group, and individual ad status, tracking ROAS and engagement patterns through detailed data fields. Once this data lands in Amazon S3, you can join it with other marketing sources to build custom attribution models, create performance monitoring systems in Power BI or Looker Studio, and enable data science teams to run predictive analytics on historical advertising trends without API rate limits.

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Replicated to Amazon S3

Custom reports

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.

1
configurable report
619
extractable fields
Amazon S3
Destination

Pre-configured reports

Ad Performance
Analyze performance with metrics such as impressions, clicks, and cost. Detail by campaign, ad group, and ad status.

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How to send Pinterest Ads data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect Pinterest Ads Account

Authenticate your Pinterest Ads data source in Kondado using OAuth credentials to enable data extraction from the Ad Performance pipeline.

2
Configure Amazon S3 Destination

Enter your Amazon S3 bucket details and specify the file path structure where you want Pinterest Ads metrics stored for downstream analytics.

3
Select Data and Schedule

Choose the Ad Performance pipeline with its available fields and set your preferred update frequency from every 5 minutes to daily.

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Send data from Pinterest Ads to other destinations

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Frequently Asked Questions (FAQ)

Answers about sending Pinterest Ads data to Amazon S3 automatically

How does Kondado replicate Pinterest Ads data to Amazon S3?
Kondado connects directly to your Pinterest Ads account using OAuth authentication and extracts data from the Ad Performance pipeline. The platform then transforms and loads this data into your specified Amazon S3 bucket as structured files. You control the update schedule, choosing intervals from every 5 minutes to daily based on your analytics requirements.
What Pinterest Ads performance data can I access in Amazon S3?
You can access detailed advertising metrics including impressions, clicks, cost per action, ROAS, and engagement rates segmented by campaign, ad group, and individual ad status. The data includes delivery statistics, targeting information, and conversion tracking across your Pinterest marketing activities. This granularity enables analysis of creative performance and budget efficiency at every level of your account hierarchy.
How often can I update my Pinterest Ads data in Amazon S3?
Kondado supports configurable update schedules ranging from every 5 minutes to daily, allowing you to balance data freshness with API usage. You can set different frequencies for different data sets or change the schedule as your reporting needs evolve. This flexibility ensures your Amazon S3 data lake contains timely advertising metrics without manual intervention.
What file format does Pinterest Ads data use when stored in Amazon S3?
Kondado delivers Pinterest Ads data to Amazon S3 in structured file formats optimized for analytics engines like Athena, Presto, and Dremio. The data is organized to support efficient querying and can be easily consumed by business intelligence tools. This format enables seamless integration with your existing data virtualization layer and analytics infrastructure.
Can I merge Pinterest Ads data with other marketing platforms in Amazon S3?
Yes, Amazon S3 serves as a central data lake where you can combine Pinterest Ads metrics with information from Google Sheets, BigQuery, or PostgreSQL for comprehensive cross-channel analysis. This consolidation enables unified reporting that correlates Pinterest performance with SEO, paid search, and sales data. Marketing teams gain holistic visibility into attribution and customer journey mapping when multiple sources converge in S3.
Do I need technical skills to set up the Pinterest Ads to Amazon S3 pipeline?
No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating with Pinterest Ads and configuring your S3 destination. The platform handles the complex API interactions and data transformations automatically. You simply select the Ad Performance pipeline, specify your bucket details, and set your preferred update schedule.
How can I analyze Pinterest Ads data once it is in Amazon S3?
You can query the data directly using Amazon Athena or connect it to Power BI, Looker Studio, and other BI tools for visual analysis. Many users build custom reporting layers that combine Pinterest metrics with sales data from PostgreSQL or BigQuery. This setup enables automated report generation and ad-hoc analysis without hitting Pinterest API limits.

Try out all the features for free for 14 days

Try out all the features for free for 14 days