Getting your data from Bing Ads to SeekWell 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 SeekWell 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.
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
The SeekWell analytics developer platform features a SQL editor and creates automated dashboards in Google Sheets. With its Seek Assistant tool, programmers can write code faster with AI and natural language processing. SeekWell has a shareable code repository, so you can access and reuse stored code and establish consistent programming metrics for your team. This BI tool offers free and paid versions and in-app support. SeekWell connects to five databases, but you can connect to unlimited data types with the Panoply integration. Panoply’s AI-driven ETL automatically uploads, processes, and stores all kinds of data together in one place. Its secure, enterprise-level data pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse.
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