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Google Ads

Google Ads is an online advertising platform that allows businesses to run digital ad campaigns by bidding on search and display placements on Google.

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

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Sync Google Ads data into Panoply

ETL the Modern Way. Get your data out of Google Ads so you can analyze it.
Here’s a sample of the raw Google Ads data that Panoply will replicate to your warehouse:
Criteria Performance Report
Dimensions related to Google Ads ad group targeting criteria like keywords, age range and location. Metrics include clicks, impressions, and cost.
AdGroup Performance Report
Metrics and dimensions related to Google Ads ad groups and their parent campaigns. Metrics include clicks, impressions, and cost.
Ad Performance Report
Dimensions related to the Google Ads ads and their final URLs. This report includes conversion data.
Search Query Performance Report
Dimension and metrics associated with Google Ads search queries that keywords that targeted them. Metrics include impression, clicks and cost.
Display Keyword Performance Report
Display Network and YouTube Network metrics including bid and cost aggregated at the keyword level.
Geo Performance Report
Dimension related to ad groups and campaigns their corresponding countries or territories. Metrics include cost, interactions, and conversion value.
View Google Ads documentation

Modernizing Google 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 Google 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 Google 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.


“ 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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