Getting your data from Twitter 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 Twitter 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.
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.
Twitter Ads Data Warehousing
Twitter 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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