See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Twitter Ads data.Try Panoply for Free
Panoply automatically organizes data into query-ready tables and connects to popular BI tools like PopSQL as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.See All BI Tool Integrations
Seamlessly sync Twitter Ads and all your other data sources with Panoply’s built-in ETL. Set up a pipeline in minutes with our simple point-and-click interface, then we’ll handle the ongoing maintenance so you can focus on building value, not fixing leaky plumbing.See All Integrations
Easily sync and store over 30+ data sources. Break down the silos separating your data to create a single source of truth your whole company can rely on.Get a Demo
Managing, optimizing, and reporting on Twitter advertising is easier than ever with Panoply. Twitter Ads, the on-site advertising service on the Twitter platform, provides a wealth of data for analysts and marketers. Panoply stores this data directly onto the Panoply Smart Data Warehouse, where it can be analyzed and combined with all other advertising or data sources. Panoply’s end to end data management platform then makes it possible for companies to extract, query, report, and monitor Twitter ad data. This helps you analyze how advertisements are performing, develop more effective campaigns, and identify new social media marketing opportunities all instantly from within the Panoply platform.
PopSQL, the “Modern, collaborative SQL editor for your team” is a SQL editing platform that provides shareable URLs to your queries and results. PopSQL automatically displays your analytics in chart and graph formats that best fit your data. User-friendly features like query variables, search and version history make PopSQL easy for the non-programmers on your team. Panoply powers PopSQL combining and automating all three key aspects of the data stack: data ingestion, data storage and management, and query performance optimization so your PopSQL queries and graphs will be lighting fast and always up to date.