Analyze your Facebook Ads data in Jupyter
Getting your data from Facebook Ads to Jupyter can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Facebook Ads and Jupyter with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
How it works
Automatically sync and store the data you want with table-level control.
See the Facebook Ads data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Facebook Ads in minutes
Seamlessly integrate data from your Facebook advertising campaigns with Panoply. As Facebook continues to grow its digital advertising presence, the average organization has sizeable advertising data that needs to be stored and analyzed. With Panoply, storing that data is instant, without requiring any manual ETL or ELT processing. The data can then be analyzed from within the platform, providing greater feedback on ad performance, including user data, platform, associated text and images, and more. The data can also be compared and analyzed with other data sources, giving you greater detail about your market and ad campaigns. Panoply’s Facebook ad integration is ready immediately so that your raw data can be converted to actionable insights in minutes. Panoply makes it easier to increase engagement and maximize your Facebook ad ROI.
Learn more:
Documentation
Facebook Ads Data Warehousing
Facebook Ads Business Intelligence
Other connectors with Facebook Ads
Integrate with Jupyter in minutes
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.
Learn more:
Documentation
Other connectors with Jupyter
Try It Now
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