Get started with Google Ads Data manager

Key Takeaways

In this video, we'll walk through how to prepare your data for import into Google Ads with a direct connection to a supported data source. By connecting first-party data from all your sources, like your CRM, e-commerce, or physical stores, >> [music] >> within Data Manager, you can improve your conversion measurement, create audiences, and build your data strength for Google AI-powered solutions to maximize your signals and boost your ROI. You can use this data in two powerful ways. [music] First, improve your conversion measurement. Connecting data from your back-end data stores, such as CRMs, cloud databases, and files, provides a complete view of campaign performance. This fuels Google AI and bidding engines, and shows how online ads drive sales goals. You can also use enhanced conversions to drive better performance. Second, strengthen your audiences. Connecting customer [music] lists helps build stronger relationships and reach new prospects. Upload your lists to Customer [music] Match to re-engage past customers, or create similar segments to discover new prospects. This increases loyalty and improves ad spend efficiency. Now, let's cover a few things that apply to any data source. Ensure any customer data shared with Google complies with Google's policies, including the EU user consent policy. It's also important to keep your data fresh. If you set up an automated import, make sure your source data is updated before the import runs. You will need to authorize Data Manager to access [music] data. Review each source's requirements for appropriate user permissions. Data Manager typically needs read-only access. For setup, you need administrative access to your Google Ads [music] account. We recommend using a dedicated data set for each goal. If your data is consolidated, apply filters during setup [music] to select only relevant data. Finally, if uploading a file, it needs to be in a supported format, like CSV or TSV, with column headers in the first row, like email or order number. You don't need to rename columns or format data in your file before upload. [music] Data Manager does most of the work for you. Specific data requirements for use cases: audiences. Next, the specific information your data should include [music] depends on how you plan to use it. If your goal is to create audiences for Customer Match, your data will need at least one of these identifiers: email, phone number, or mailing address. Data Manager can split combined info, [music] a user ID, or a mobile device ID. Specific data requirements for use cases: conversions. If your goal is to improve conversion measurement, your data must include the date and time of conversion, >> [music] >> and the GCLID, GBRAID, WBRAID, IP address, and session attributes associated with the conversion. For enhanced conversions for leads, [music] first accept terms. Then, your data must include the date and time of conversion, and at least one of the following: the GCLID, GBRAID, WBRAID, IP address, and session attributes, the customer's email address, or their phone number. Providing both GCLID and consented customer information is a best practice. Finally, if you're adding an additional data source to an existing conversion, [music] you'll also need a transaction ID to prevent duplicate counting. Now, you're ready to start connecting your data sources and unlocking more powerful insights in your campaigns. >> [music] >> For more information, visit the Google Ads Help Center.