No-code pipeline · Instagram Ads → SQL Server

Send data from Instagram Ads to SQL Server

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From Instagram Ads to SQL Server: managed, scheduled, no code.

Creating a pipeline that sends data from Instagram Ads to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Instagram Ads to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Instagram Ads data and combining it with other data in your SQL Server database

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Replicate Instagram Ads Data to SQL Server

Sending Instagram Ads data to SQL Server requires a direct integration that automates the extraction and loading process. Kondado provides a no-code solution that connects your advertising accounts to your database without manual exports or complex scripting. Configure your data source once, and Kondado handles the ongoing replication of campaign metrics and performance indicators directly into your SQL Server environment. This automated approach eliminates data silos between your marketing team and analysts, ensuring that spend data, conversion metrics, and audience insights flow continuously into your existing database infrastructure where they can be combined with CRM, sales, or financial records for comprehensive analysis.

Kondado replicates Instagram Ads data to SQL Server on a configurable schedule, offering 14 available pipelines including campaign performance, ad set metadata, and lead forms data, enabling automated data warehousing of your advertising metrics without coding requirements.

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

Available Instagram Ads Pipelines for SQL Server

Once your data arrives in SQL Server, you can leverage the Campaign performance pipeline to analyze cost per result and impression trends alongside your sales data, enabling precise ROI calculations across marketing channels. The Lead forms pipeline delivers collected prospect information and conversion rates directly into your database, allowing you to trigger automated nurture workflows or score leads against historical customer profiles. Additionally, Ad performance metrics such as clicks and cost per click enable detailed creative analysis when joined with inventory or seasonal data in your existing SQL Server tables, helping you optimize budget allocation based on actual revenue impact rather than platform-reported metrics alone.

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Replicated to SQL Server

Instagram Ads data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

available pipelines

1569

extractable fields

SQL Server

Destination

Available integrations

Ad account performance

Analyze account performance with metrics such as total spend, account status, and age of the account.

Ad accounts

View details of ad accounts, including name, account ID, and status.

Ad metadata

Explore ad metadata, including ad ID, account ID, and ad set name.

Ad performance

Evaluate ad performance with metrics such as impressions, clicks, and cost per click.

Ad preview

View ad previews, including creative elements and targeting settings.

Ad set performance

Analyze ad set performance with metrics such as impressions, clicks, and total cost.

Adset metadata

Examine ad set metadata, including ad set ID and name.

Campaign metadata

View campaign metadata, including campaign ID and name.

Campaign performance

Evaluate campaign performance with metrics such as impressions, clicks, and cost per result.

Lead forms

Analyze lead forms, including collected data and conversion rate.

Page Metrics

Analyze impressions, clicks, and total cost, along with metrics such as engagement rate and page reach.

Page: Posts

Examine post performance with metrics such as likes, comments, and shares, along with data on reach and impressions.

Pages

View information about your pages, including name, ID, and status, along with financial data such as balance and total spend.

Post Metrics

Evaluate post performance with metrics such as clicks, cost per click, and click-through rate, along with impressions and reach.

See all available data → Send Instagram Ads to SQL Server →

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How to send Instagram Ads data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Instagram Ads Account

Authenticate your Instagram Ads account in Kondado by providing your credentials through the secure data source setup wizard. Select the ad accounts you want to replicate data from, and Kondado will automatically detect available pipelines including campaign performance and lead forms.

Configure SQL Server Destination

Enter your SQL Server connection details including server address, database name, and authentication credentials to establish your destination endpoint. Kondado supports multiple SQL Server versions and license types, ensuring compatibility with your existing database infrastructure whether hosted on-premises or in cloud environments.

Select Pipelines and Schedule

Choose from the 14 available pipelines such as Ad performance or Campaign metadata, then set your preferred update frequency ranging from every 5 minutes to daily. Once configured, Kondado automatically creates the necessary database structures and begins replicating your Instagram Ads data on the specified schedule.

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Send data from Instagram Ads to other destinations

Instagram Ads > Looker Studio

Instagram Ads > Power BI

Other visualizations

Instagram Ads > Amazon S3

Instagram Ads > BigQuery

Instagram Ads > Excel

Instagram Ads > Google Sheets

Instagram Ads > MySQL

Instagram Ads > PostgreSQL

Instagram Ads > Redshift

Instagram Ads > SQL Server

Choose a tool to visualize your Instagram Ads data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Instagram Ads > Airtable

Instagram Ads > Alteryx

Instagram Ads > Amazon Quicksight

Instagram Ads > BIMachine

Instagram Ads > Cortex

Instagram Ads > Data Studio

Instagram Ads > Geckoboard

Instagram Ads > Grafana

Instagram Ads > IBM Cognos Analytics

Instagram Ads > Klipfolio

Instagram Ads > Looker Studio

Instagram Ads > Looker

Instagram Ads > Looqbox

Instagram Ads > Metabase

Instagram Ads > Microstrategy

Instagram Ads > Pentaho

Instagram Ads > Power BI

Instagram Ads > Qlik Cloud Analytics

Instagram Ads > Qlik Sense

Instagram Ads > Qlik

Instagram Ads > QlikView

Instagram Ads > Redash

Instagram Ads > Superset

Instagram Ads > Tableau

Instagram Ads > BI TOTVS

Instagram Ads > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Instagram Ads data to SQL Server automatically

How does Kondado replicate Instagram Ads data to SQL Server? ▼

Kondado uses a direct integration to extract data from your Instagram Ads accounts through an authentication process that maintains your credentials. You select which pipelines you need, such as campaign performance or lead forms, and Kondado automatically loads this data into your SQL Server on your chosen schedule. The platform handles API pagination, field mapping, and data type conversion without requiring manual intervention.

What Instagram Ads metrics and dimensions are available in the pipelines? ▼

Kondado offers 14 pipelines containing 1569 fields covering ad accounts, campaign metadata, ad performance, and post metrics. You can access detailed breakdowns including impressions, clicks, cost per click, engagement rates, and lead form submissions. Each pipeline delivers specific datasets, such as the Ad set performance pipeline which tracks impressions and total cost at the ad set level.

How often can I update my Instagram Ads data in SQL Server? ▼

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analysis requirements. This near-real-time replication ensures your SQL Server reflects current campaign activity without overwhelming your database with excessive API calls. The schedule runs automatically once configured, maintaining consistent data freshness for your reports.

Can I combine Instagram Ads data with other marketing sources in SQL Server? ▼

Yes, SQL Server serves as a central repository where you can join Instagram Ads data with information from other business systems. You can replicate additional data sources into the same database, allowing analysts to correlate advertising spend with sales figures or inventory levels stored in your existing tables. Many users also combine Instagram metrics with data from PostgreSQL or BigQuery exports that have been loaded into SQL Server for comprehensive attribution modeling.

What pre-built reports are available for Instagram Ads data analysis? ▼

Kondado provides pre-built dashboard templates including the Meta Ads Looker Studio Report and Meta Ads Power BI Report, which visualize your Instagram Ads data immediately. These ready-made dashboards connect directly to your data warehouse, displaying campaign performance, audience demographics, and conversion metrics without requiring manual chart creation. You can also send data to Looker Studio for custom visualizations alongside other marketing sources.

How is the data structured when it arrives in SQL Server? ▼

Data arrives in SQL Server as structured relational tables with appropriate data types for each metric, such as numeric fields for spend and impressions and timestamp fields for campaign dates. Kondado maintains consistent schema naming conventions that match the Instagram Ads API structure, making it easy to write SQL queries that join advertising data with your existing business tables. Each pipeline creates separate tables or appends to existing structures based on your configuration preferences.

Do I need technical skills to set up the Instagram Ads to SQL Server connection? ▼

No coding is required to establish the connection between Instagram Ads and SQL Server. Kondado's interface guides you through authenticating your ad account and selecting pipelines with point-and-click simplicity. While SQL knowledge helps you query the data once it arrives, the setup process requires no API programming or database administration expertise.

Can I send Instagram Ads data to destinations other than SQL Server? ▼

Absolutely, you can replicate Instagram Ads data to multiple destinations simultaneously. While SQL Server handles your structured warehousing needs, you can also send the same datasets to Power BI for executive dashboards, Google Sheets for ad hoc analysis, or BigQuery for data science workloads. This flexibility ensures every team accesses advertising insights through their preferred tools.

Try out all the features for free for 14 days

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