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Sharing insights about advertising campaigns facilitates communication with your team. It allows you to come together to evaluate past performance and use that data to make decisions about future campaigns.
Objectives
In this tutorial, you’ll learn how to:
Write a query using Ads Data Hub.
Share results from that query with stakeholders.
Before you begin
In order to successfully accomplish all the steps in this tutorial, you’ll need to have:
Access to an Ads Data Hub account.
The ability to run queries in that Ads Data Hub account.
Permission to read and write datasets in BigQuery.
Generate results to share
If you already have results that you’d like to share, you can skip this section.
In order to share results, you first need to generate results. This can be accomplished by either running a query that you—or someone on your team—has already written, or by using a templated query from the Ads Data Hub UI.
After your query finishes running, expand the row containing your job.
Click View table. This opens your results in BigQuery.
Share results
Since Ads Data Hub writes your results to a BigQuery table, you may want to process those results into a different format before sharing them with your team.
Navigate to your table in BigQuery.
Write a SQL query to obtain results from your table. This could be a simple SELECT * query if you’re already happy with the granularity of the results you obtained from Ads Data Hub.
Alternatively, you can query your data to drill down further and answer more specific questions.
Click Save results.
Using the dropdown, choose the format you want to receive your results in.
Note that if you choose to share your results via another BigQuery table, the people that you share it with will need viewer permissions to access the results in the table.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-09-18 UTC."],[[["\u003cp\u003eSharing advertising campaign insights enhances team communication and data-driven decision-making for future campaigns.\u003c/p\u003e\n"],["\u003cp\u003eThis tutorial guides you on querying data using Ads Data Hub and sharing the results with stakeholders.\u003c/p\u003e\n"],["\u003cp\u003ePrerequisites include Ads Data Hub account access, query execution capabilities, and BigQuery read/write permissions.\u003c/p\u003e\n"],["\u003cp\u003eSharing involves generating results by running queries in Ads Data Hub, then processing and exporting them from BigQuery in desired formats.\u003c/p\u003e\n"]]],["To share advertising campaign insights, first generate results by writing and running a query in Ads Data Hub. Then, access these results in BigQuery. Refine the results with a SQL query if needed. Finally, save the processed results in a chosen format. Sharing via a BigQuery table requires granting viewer permissions. This process enables team evaluation of past campaigns and informs decisions for future ones. Further actions include visualizing data in Data Studio and using authorized views in BigQuery.\n"],null,[]]
