Sync MySQL to Pinterest Ads
Target, re-engage, and reach the people that matter to your business with custom audience segments in Pinterest Ads
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Integration in Four Steps
Step 1: Connect MySQL
Connect MySQL with standard API and ODBC credentials.
Step 2: Connect Pinterest Ads as a destination
You can connect to Pinterest Ads by providing credentials to Census through an intuitive interface.
Step 3: Define the core data that matters for your business
Write a SQL Statement. Select the records you want to sync from MySQL. Census will match records based on the unique identifier you provide (like email or ID).
Step 4: Schedule your sync
Choose your sync frequency with options to transfer data in real time, on a schedule, or triggered via our API.
Get a demoWhere can you sync your MySQL in Pinterest Ads?
A single source of truth in all your tools
Census is the easiest way to share a consistent view of your data across your entire business. Define your models, metrics, and business logic in your data warehouse and sync them to all your operational tools.
- Create trust in consistent metrics
- Automate confidently with clean data
- Simplify your data integration strategy
- Improve data security and visibility
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Advantages of Census
Build once. Reuse everywhere.
Once you define your models in dbt or in Census, you can sync them to all your tools, so every team is using the same data to achieve their goals.
No more CSV files & Python scripts
Focus on improving data quality and collaboration, not writing custom code to integrate with Go-t0-Market tools. Census takes care of getting the data into the hands of your business team. No engineering favors required.
It just works. At scale.
Whether you sync 100 records or 100 billion, we will keep your data in sync across your warehouse and your business tools. Census automatically navigates API failures and monitors errors to keep you aware of worst case scenarios.
Census is the #1 Data Activation and Reverse ETL platform
“Census is a big part of how we drive net new business and greatly reduce costs using data.”
