Send data from Pinterest Ads to SQL Server

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Send Pinterest Ads Data to SQL Server

Connecting your Pinterest Ads account to SQL Server requires no coding or engineering resources when you use Kondado’s automated data replication platform. Simply authenticate your Pinterest Ads account, select from available pipelines, and configure your SQL Server destination to begin flowing advertising metrics into your database environment. The platform handles all technical complexity of API connections and schema management, allowing marketing analysts and data teams to focus on generating insights rather than managing data extraction processes.

Kondado replicates Pinterest Ads Ad Performance data to SQL Server automatically on a configurable schedule, delivering 619 fields including impressions, clicks, campaign details, and ROAS metrics directly to your Microsoft database.

Once configured, your Pinterest advertising metrics populate SQL Server on your chosen schedule, enabling you to combine social media performance data with enterprise information from CRM systems, sales databases, or financial platforms. This automated pipeline eliminates manual CSV downloads and ensures your reporting infrastructure always contains current campaign performance statistics for comprehensive 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 SQL Server

The Ad Performance pipeline delivers comprehensive Pinterest advertising metrics directly into your SQL Server environment, capturing 619 fields that detail campaign reach, engagement rates, and conversion tracking across your promoted pins. With this data residing in your database, you can build custom SQL queries that correlate Pinterest impressions and clicks with downstream revenue data, creating unified reports that demonstrate true advertising ROI across your entire marketing technology stack.

Marketing teams use this replicated Ad Performance data to automate budget allocation decisions by combining Pinterest cost metrics with performance data from other channels stored in SQL Server. The granular breakdown by campaign, ad group, and pin status enables sophisticated cohort analysis and attribution modeling, allowing analysts to identify high-performing audience segments and optimize creative strategies based on historical performance trends stored directly in your Microsoft database.

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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

Pre-configured reports

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

Sync data automatically — no code, no manual exports.

1
Connecting Pinterest Ads on Kondado

Authenticate your Pinterest Ads data source in Kondado by providing your API credentials through the connection interface. This establishes the link between your advertising account and the replication platform.

2
Configuring SQL Server

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish your destination. Kondado validates the connection to ensure your Pinterest data flows to the correct Microsoft database environment.

3
Selecting data and setting the update schedule

Choose the Ad Performance pipeline from the available options and define your replication schedule, selecting intervals from 5 minutes to daily based on your reporting needs. The system immediately begins replicating your Pinterest Ads metrics to SQL Server according to your specifications.

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Frequently Asked Questions (FAQ)

Answers about sending Pinterest Ads data to SQL Server automatically

How does Kondado replicate Pinterest Ads data to SQL Server?
Kondado creates a direct connection between your Pinterest Ads account and SQL Server using the platform's data source authentication. Once connected, the system automatically extracts your selected metrics from the Ad Performance pipeline and loads them into your specified SQL Server database on your configured schedule. This process requires no manual coding or API management from your team.
What Pinterest Ads metrics are available in the Ad Performance pipeline?
The Ad Performance pipeline contains 619 fields including impressions, clicks, cost data, ROAS, campaign identifiers, ad group details, and pin status information. You receive granular performance metrics that allow analysis of reach, engagement, and conversion tracking across your Pinterest advertising campaigns. This comprehensive dataset enables detailed reporting on creative performance and audience targeting effectiveness.
How often does Pinterest Ads data update in SQL Server?
Kondado updates your Pinterest Ads data on a configurable schedule that you set during the initial configuration, with options ranging from every 5 minutes to daily or weekly intervals. This near-real-time replication ensures your SQL Server database contains current campaign performance data without overwhelming your API limits or database resources. You can modify the update frequency at any time based on your reporting needs.
Can I combine Pinterest Ads data with other marketing sources in SQL Server?
Yes, SQL Server acts as a central repository where Pinterest Ads metrics can coexist with data from other advertising platforms, CRM systems, or analytics tools. You can join these datasets using SQL queries to create comprehensive cross-channel reports that correlate social media performance with sales data, website analytics, or customer information. This unified view enables holistic marketing attribution analysis across your entire technology stack.
What format does Pinterest Ads data take when replicated to SQL Server?
Kondado replicates Pinterest Ads data into standard SQL Server database tables with properly typed columns that preserve the original data structure from the Ad Performance pipeline. Numeric metrics like impressions and clicks arrive as integer or decimal values, while campaign identifiers and status fields come through as strings or enumerated types. This structured format allows immediate querying using standard T-SQL without additional data cleaning or transformation steps.
Do I need technical skills to set up the Pinterest Ads to SQL Server connection?
No coding or engineering expertise is required to establish the connection between Pinterest Ads and SQL Server through Kondado's interface. The platform provides a guided setup process where you simply authenticate your Pinterest Ads data source and enter your SQL Server connection details. Marketing analysts and business users can configure the entire pipeline independently without writing API calls or managing database schemas.
Can I send Pinterest Ads data to Power BI or Looker Studio from SQL Server?
Once your Pinterest Ads data resides in SQL Server, you can connect business intelligence tools like Power BI or Looker Studio directly to your database for visualization and reporting. SQL Server serves as the central data hub, allowing you to build custom dashboards that combine Pinterest metrics with other enterprise data sources. This architecture provides flexibility to use your preferred analytics tools while maintaining a single source of truth.
How do I query Pinterest Ads campaign data once it is in SQL Server?
Your Pinterest Ads data becomes available as standard tables in SQL Server that you can query using T-SQL statements through SQL Server Management Studio or any database client. You can write SELECT statements to filter campaigns by date range, aggregate cost data by ad group, or join Pinterest tables with sales data to calculate ROI. The 619 available fields provide granular dimensions for slicing performance metrics exactly as your analysis requires.

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