Analyze your Bing Ads data in Python
Getting your data from Bing 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 Bing 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 Bing Ads data Panoply collects
Query-ready data with just a few clicks
Code-free data pipeline
Fuel your analytics
Integrate with Bing Ads in minutes
Bing Ads is the platform used to manage PPC ads on Bing search engines and their partner networks. Panoply’s Bing Ads integration moves your data into your very own Panoply Smart Data Warehouse, where machine learning and Natural Language processing eliminate the need to maintain any ETL process. Panoply makes it possible to combine, connect, store, and analyze your Bing Ads with any of your other data sources. With its end to end data management capabilities, your marketers and data analysts can immediately begin discovering how to optimize PPC campaigns, identify successful keywords, assess demographics, and more through reports, queries, and dashboards within the Panoply platform.
Learn more:
Documentation
Bing Ads Data Warehousing
Bing Ads Business Intelligence
Other connectors with Bing 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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