Analyze your Facebook Ads data with Python
Stitch is a no-maintenance pipeline for consolidating all your data (including Facebook Ads) to modern analytics warehouses and storage platforms, powering rapid reporting in Python.
Integrate Facebook Ads and Python with your data warehouse to turn your data into actionable insights.
Facebook Ads is one of the most efficient ways to advertise online.
Stitch offers detailed documentation on how to replicate all your Facebook Adsdata to your central warehouse today.
Python a widely used programming language, and one of the top three most common skills for data scientists. Python’s rich ecosystem includes open source software and libraries for data structures, analysis, and visualizations.Learn more about Python
From Facebook Ads toGoogle Analytics,the tools that power your operations create incredibly valuable data—but it's locked up in silos. With Stitch as your data pipeline, you can break down those barriers in minutes.
Stitch easily connects to your data wherever it lives and automatically copies it to a central data warehouse: a single source of truth that holds insights from every corner of your organization.
From there, it’s easy to connect your warehouse to Python.
Years ago, building a data infrastructure meant maintaining custom ETL scripts and loading data to expensive, on premises storage. Skip that. Stitch helps today’s most successful organizations leverage the power of the cloud to optimize their analytics.
See why 82% of businesses are prioritizing new technologies for analytics and business intelligence.
Stitch delivers your data to storage platforms purpose-built for fast data analysis.
Here’s a sample of the raw Facebook Ads data that Stitch will replicate to your analytics warehouse:
This table is the core table of campaigns in a Facebook Ads account. Columns include campaign id, name, status (active/paused), objective.
This table records all of the ads in a Facebook Ads account. Columns include the ad information including the Ad Set and Ad Campaign it belongs to, the ad bidding, ad targeting and reference to specific creative (image/text) that the ad uses.
This table records all of the creatives that are used in Ads. These includes creative name, description and relevant image urls where appropriate.
This table records is the core table of Ad Sets in a Facebook Ads account. Columns include the Ad Campaign id/name the Ad Set belongs to, the budgeting, bid type, scheduling and audience targeting information.
Stitch saves us a ton of time. Having a standard process to put the data in the warehouse and then feeding that data to a dashboard gives us more time to dig and uncover the story the data is telling us.
Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
Amazon RDS for MariaDB
Amazon RDS for MySQL
Amazon RDS for Oracle Database
Amazon RDS for PostgreSQL
Amazon RDS for SQL Server
Amazon S3 CSV
Google Analytics 360
Google Cloud SQL MySQL
Google Cloud SQL MySQL
Google Cloud SQL PostgreSQL
Google Search Console
Microsoft Advertising (Bing Ads)
Microsoft Azure SQL Server Database
Microsoft SQL Server
Netsuite Suite Analytics
Oracle Netsuite Bronto Marketing Platform
Salesforce Marketing Cloud