Analyze your LinkedIn Ads data in Python
Getting your data from LinkedIn Ads to Python 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 LinkedIn Ads and Python 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 LinkedIn Ads data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with LinkedIn Ads in minutes
No matter your campaign goals, LinkedIn ads lets you set your own budget and create effective advertising that targets over 630 million active professionals to reach your ideal customer. Panoply makes it easy to load LinkedIn advertising data into your own cloud-based data warehouse using a simplified E-L-T approach that gives data analysts more flexibility and control.
Advertisers can collect ad performance and display targeting data directly from the LinkedIn Ads API without having to write a single line of code. Storing the data in Panoply also makes it easy to combine Linkedin Ads data with other advertising data sources for multi-channel analysis. Connect Panoply to any BI tool with an ODBC connection to visualize and analyze all your Linkedin Ads data. Setup takes minutes so you can spend more time optimizing and less time maintaining brittle data pipelines.
Learn more:
Documentation
LinkedIn Ads Data Warehousing
LinkedIn Ads Business Intelligence
Other connectors with LinkedIn Ads
Integrate with Python in minutes
Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.
Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.
Learn more:
Documentation
Other connectors with Python
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