Google Data Manager Tools - From Manual Uploads to Automated Data Pipelines

Learn how to move from manual uploads to a scalable, automated setup.

There’s a big difference between having first-party data connected and having it working for you consistently.

In this webinar, we’ll walk through how teams evolve from manual uploads to automated data pipelines using Google Data Manager tools, and what that shift unlocks in terms of reliability, usability, and performance.

Google offers two ways to work with first-party data in Google Ads. There is Google Ads Data Manager, the tool you use to connect and activate data. Then there is the Data Manager API, which helps you automate and scale it.

Format: Live Session + Q&A

Date: May 28th, 2026

Time: 1pm EST | 10am PST

What This Session Will Cover

A practical look at how to use Google Data Manager tools to build a scalable data setup

Two Tools, One System

Google Data Manager vs API

Understand how Data Manager and the API work together, and why both matter.

Connect the Right Data

BigQuery & CRM to Google Ads

Bring BigQuery and CRM data into Google Ads the right way.

Automate What Matters

Automating Data Flows

Move from manual uploads to a consistent, automated pipeline.

 

Turn Data Into Performance

Reliable, Scalable Activation

Support better targeting, bidding, and reporting with a stronger data foundation.

What You’ll Learn

 

  • What Google Ads Data Manager actually does
  • Where the Data Manager API fits and when you need it
  • How to connect BigQuery, CRM, and first-party data source

FAQs

Q: Will I need access to Google Ads Data Manger to participate?

A: No. We will provide a live walkthrough via screenshare. But you can follow along in your own account if you have access.

Q: Can I ask questions during the webinar?

A: Yes! There will be a live Q&A session with our presenters to address your specific queries.

Q: Will the session be recorded?

A: Absolutely. All attendees will receive access to a recording to revisit at their convenience.

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