How does Kondado replicate Instagram Ads data to PostgreSQL?
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Kondado connects directly to your Instagram Ads account using your credentials and extracts data through available API endpoints. The platform then loads this information into your PostgreSQL database on a schedule you configure, which can range from every 5 minutes to daily updates. This automated process eliminates manual CSV downloads and ensures your analytics database stays current with the latest campaign metrics.
What specific Instagram Ads metrics can I access in PostgreSQL?
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You can replicate 14 distinct pipelines containing 1,569 fields including campaign performance data, ad set metrics, lead form submissions, and page engagement statistics. Specific pipelines include Ad account performance for spend analysis, Post Metrics for engagement tracking, and Ad metadata for creative element details. This comprehensive coverage allows you to analyze everything from high-level account spend to individual post click-through rates within your SQL environment.
How often does Instagram Ads data update in my PostgreSQL database?
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Kondado offers flexible scheduling options that let you choose update frequencies ranging from every 5 minutes to daily, depending on your business requirements and data freshness needs. You can configure different schedules for different pipelines, updating high-priority campaign performance data every 15 minutes while refreshing account metadata daily. This configurable approach balances data freshness with API rate limits and database load.
Does Kondado offer pre-built dashboards for Instagram Ads data?
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Yes, Kondado provides ready-made report templates including the Meta Ads Looker Studio Report, Meta Ads Power BI Report, and Google Ads and Meta Ads Looker Studio Report. These templates connect directly to your PostgreSQL database to visualize campaign performance, spend analysis, and engagement metrics without requiring manual report building. You can access these templates immediately after setting up your data replication to accelerate your analytics workflow.
Can I combine Instagram Ads data with other marketing sources in PostgreSQL?
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Absolutely, PostgreSQL serves as a central repository where you can join Instagram Ads metrics with data from Google Ads, Facebook Ads, or your CRM system. By consolidating multiple sources in one database, you can build cross-channel attribution models, compare platform performance using SQL queries, and create unified marketing dashboards. Kondado supports replication from 80+ data sources including advertising platforms, databases, and cloud applications to populate your PostgreSQL instance.
What format does Instagram Ads data take in PostgreSQL?
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Data arrives in structured relational tables with preserved data types, where each pipeline corresponds to a specific table containing normalized fields from the Instagram Marketing API. Campaign IDs, timestamps, and metric values maintain their original formats, enabling immediate SQL querying and JOIN operations with your existing business data. The schema automatically adapts to API changes, ensuring your queries remain functional as Instagram updates their data structure.
Do I need coding skills to set up Instagram Ads to PostgreSQL replication?
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No coding is required to establish the connection or maintain data flows, as Kondado provides a no-code interface for configuring your data source and destination. You simply authenticate your Instagram Ads account, enter your PostgreSQL connection details, and select which pipelines to replicate using point-and-click selection. The platform handles API pagination, error retry logic, and schema management automatically behind the scenes.
Can I send Instagram Ads data to visualization tools besides PostgreSQL?
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Yes, while PostgreSQL serves as your central database, you can connect visualization tools directly to your PostgreSQL instance or use Kondado to send data to additional destinations. Popular options include connecting
Power BI or
Looker Studio directly to PostgreSQL, or replicating data to
BigQuery for alternative analysis workflows. This flexibility ensures your marketing data reaches the tools your team prefers.
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