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Twitter Ads

Twitter Ads are a digital marketing service through which businesses can promote their products or service via Twitter, a social media platform.

Panoply’s Twitter Ads ETL integration automatically syncs your Twitter Ads data into tables inside Panoply where you can further transform it with SQL.

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Sync Twitter Ads data into Panoply

ETL the Modern Way. Get your data out of Twitter Ads so you can analyze it.
Here’s a sample of the raw Twitter Ads data that Panoply will replicate to your warehouse:
Advertising accounts are at the top of the Twitter Ads API hierarchy. Together with Twitter user accounts, these two types of accounts are involved in using the Ads API.
Campaigns define the schedule and budget of an ad. The advertiser specifies a daily and overall budget. The campaign can be bound to a specific start and end time or run continuously until the budget is spent.
Funding Instruments
Funding Instruments comprise the source of the campaign budget. Funding Instruments can not be created via the Ads API, they have to be already established by the advertiser's account manager.
Line Items
Ad groups, known as line items in the Ads API, exist under campaigns and are used for targeting and bidding against a set of Twitter users. Advertisers promote Tweets or media by associating them with a line item.
Promoted Tweets
Promoted Tweets are ordinary Tweets purchased by advertisers who want to reach a wider group of users or to spark engagement from their existing followers.
User Timeline
This resource contains a collection of the most recent Tweets posted by the user. The timeline returned is the equivalent of the one seen as a user's profile on Twitter.
View Twitter Ads documentation

Modernizing Twitter Ads ETL

What is ETL?

Integrating data for analytics can be especially hard in a fast-shifting, rapid growth startup environment, where relevant business data might be spread out across a collection of apps and spreadsheets. ETL (Extract, Transform, Load) tools will help you collect your data from APIs and file transfers (the Extract step), convert them into standardized analytics-ready tables (the Transform step) and put them all into a single data repository (the Load step) to centralize your analytics efforts.

The shift to ELT

The traditional ETL model is a relic of the pre-cloud era, when compute resources were expensive, and everything needed to be cleaned up before analysis. These days, moving the transformation step closer to the time of analysis is not only feasible, it’s desirable. ELT lets you load raw data, increasing your analytical flexibility and moving relevant data more quickly from your engineering team to your analytics and BI teams.

All in one Twitter Ads data pipeline

Panoply’s 80+ data connectors and built-in automated cloud data warehouse will let you go from a collection of siloed datasets to sophisticated analyses that integrate your Twitter Ads data in a matter of minutes. Panoply is the only tool that combines an ETL process with a data warehouse, giving you total control over your data from sync to storage. We’ll handle all the infrastructure so you can skip the engineering work and go straight to analysis with your favorite BI tool.

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“ Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations in Looker are much more fast and efficient.
John Wessel - Freshwater Systems
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