Tag: Data Manager

Google Shifts Offline Conversion Imports to Data Manager API

As a developer working with Google Ads, I’ve recently learned that Google is encouraging us to migrate offline conversion imports from the Google Ads API to the Data Manager API by June.

Starting June 15th, Google plans to phase out offline conversion imports through the Google Ads API for some developers, which could impact how we track conversions.

For those of us who depend on these offline conversion imports, including enhanced conversions for leads, it’s crucial to transition our workflows to the Data Manager API to ensure seamless operations.

Details. We’re now aware that after June 15, offline conversion imports using the UploadClickConversions request will become non-functional for accounts inactive with this feature for the past 180 days, as per Google’s notification to developers.

This change specifically targets offline conversion imports and enhanced conversions for leads, while all other operations in the Google Ads API will continue as usual.

According to Google, we should transition our workflows to the Data Manager API moving forward.

Why this matters. Offline conversion imports play a critical role in measuring leads, sales, and other actions occurring offline. Without timely migration, our conversion data might not integrate into Google Ads, affecting reporting, attribution, and automated bidding performance. This shift aligns with Google’s broader strategy towards AI-driven, centralized data infrastructure.

The bigger picture. This move signifies Google’s ongoing effort to centralize data ingestion and streamline measurement infrastructure through automation.

Google promotes the Data Manager API as a comprehensive system for sending advertiser data into Google Ads, embracing functions like Customer Match and conversion imports, with additional capabilities for developers.

Between the lines. With attribution leaning more on privacy-centric, first-party data, Google is narrowing down its advertising tools to more integrated systems that leverage AI-driven campaign products.

For developers and platforms, the migration necessitates updates to integrations, the redevelopment of import processes, and the testing of new workflows ahead of the deadline.

What’s next. We can continue using the Google Ads API for non-offline conversion functions, but must shift any workflows involving offline conversion imports to the Data Manager API before June 15th to avoid disruptions.

First spotted. I came across this update through a post by PPC Specialist Arpan Banerjee, who shared the communication he received on LinkedIn.

Inspired by this post on Search Engine Land.

May 15, 2026
Google’s New Tools to Enhance Measurement in Advertising
When I heard that Google is unveiling new measurement tools, I was eager to see how these could empower advertisers to connect data more effectively, prove their impact, and make smarter decisions.

Google’s latest tools are designed to give advertisers a better grasp of performance across increasingly complex customer journeys. As AI evolves in transforming campaigns, creative strategies, and targeting, Google is offering updates in data integration, experimentation, and media mix modeling. This helps us, as marketers, convert fragmented signals into actionable insights.

The reason why this matters to me is that while automation has simplified campaign management, understanding what truly works has become more complex. These updates aim to facilitate data connections, provide proof of what’s driving results, and enable smarter budget decisions across various channels. As AI manages more execution, robust measurement becomes crucial for performance and growth differentiation.

Data is the foundation here. Google’s expansion of its Data Manager offers a clearer view of data flow across platforms like BigQuery, HubSpot, and Shopify. A new map-based interface will allow us to visualize connections between data sources and address gaps in tracking or configuration. Additionally, updates to the Google tag are designed to simplify setups, enabling advertisers like me to enhance existing tags without additional coding.

The overall goal is to unify signals and improve data quality, which directly influences campaign performance. Google recognizes that advertisers often face more challenges in data setup and integration than in executing campaigns themselves. By streamlining tagging and data flows, Google aims to eliminate one of the biggest hurdles to effective AI adoption.

Introducing Meridian GeoX, Google provides a new geo-experimentation tool to measure incremental impact across regions. Built on an open-source framework, GeoX integrates with Google’s broader Marketing Mix Model, Meridian, offering a more robust way to validate performance — particularly when presenting results to finance teams.

This signifies a shift from merely correlating data to focusing on causal measurement.

As changes in privacy reduce visibility and make attribution more complex, we’re under pressure to prove impact. Tools like GeoX aim to offer that “ground truth” which many attribution models struggle to provide.

To simplify complex Marketing Mix Models (MMMs), Google is launching Meridian Studio, a Google Cloud-powered platform. This helps teams like mine to build, customize, and scale models more efficiently, focusing on making MMMs less resource-intensive and more accessible for enterprise teams handling large datasets.

What I’m keeping an eye on:
- Whether simplified tools will encourage wider adoption of MMMs among advertisers
- The effectiveness of GeoX in proving incremental impact
- If improved data visibility will lead to better campaign performance
In summary, Google is strategically shifting focus: in our AI-driven world, it is better measurement — and not just better automation — that will dictate success.

Inspired by this post on Search Engine Land.
May 5, 2026
Google’s Big Shift: Customer Match Uploads Change Coming in April 2026

Recently, I discovered that Google is making a significant change that could impact how I manage ads. Starting from April 1, 2026, Google will block any inactive developer tokens from uploading Customer Match data through the Google Ads API.

In a heads-up to developers like me, Google has sent out messages explaining this upcoming change. If I haven’t uploaded Customer Match data using my developer token in the last 180 days, I won’t be able to do so through the Ads API anymore.

What’s changing: If I fall into that inactive category after April 1, any attempts to upload Customer Match lists through the Google Ads API will simply fail. Google advises moving these tasks to the Data Manager API. I’m reassured that this change only affects Customer Match uploads; other campaign management activities will continue as usual in the Google Ads API.

Why Google says it’s doing this: According to Google, the Data Manager API provides a more modern and unified data ingestion system across its platforms, featuring stronger security protocols. It also offers functionalities that aren’t available in the Ads API, such as confidential matching and improved encryption, reflecting Google’s push for centralized and secure audience data management.

Why this matters to me: If neither I nor my developers have interacted with Customer Match uploads over the last six months, this could be a sudden disruption. Post-April 1, 2026, this previous routine will be obsolete, causing errors in place of successful uploads.

The takeaway: I need to verify if my developer token has been recently used for Customer Match and plan for a transition to the Data Manager API before Google implements this new policy.

First noticed: This update was initially spotted by Paid Search specialist Arpan Banerjee, who shared the information he received from Google on LinkedIn.

Inspired by this post on Search Engine Land.

March 4, 2026
Harness Google Ads’ New Diagnostics Tool for Seamless Campaigns

I’ve always found it challenging to keep my Google Ads campaigns running smoothly without a hitch. When I heard about Google Ads’ new diagnostics hub for data connections, I knew I had to explore it. This tool promises to catch issues early, which could significantly enhance my conversion tracking and overall campaign performance.

Recently, Google Ads introduced a data source diagnostics feature within their Data Manager. It’s designed specifically to help people like me monitor the health of my data connections. The tool is a lifesaver, flagging issues linked to offline conversions, CRM imports, and tagging mismatches.

How it works. The dashboard is centralized, and it assigns clear connection status labels like Excellent, Good, Needs Attention, or Urgent. It also provides actionable alerts, which is a huge plus for me. I can easily identify problems such as refused credentials, formatting errors, or failed imports. Additionally, there’s a run history that displays recent sync attempts and error counts.

Why we care. I’ve noticed that when conversion data breaks, campaign optimization collapses too. It’s the minor data connection failures that can distort conversion tracking and weaken automated bidding. This diagnostics tool is crucial as it helps my team and me spot and fix issues early, safeguarding our campaign performance and reporting accuracy. If you’re relying on CRM imports or offline conversions like I am, it’s truly a needed safety net.

Who benefits most. If you’re running complex conversion pipelines like I do, including Salesforce integrations and offline attribution setups, this feature is a game-changer. It addresses disruptions that could otherwise ripple through our bidding and reporting process.

The bigger picture. As we increasingly depend on accurate first-party data for automated bidding, having visibility into data pipelines has become as crucial as the campaign settings themselves.

Bottom line. Google Ads has effectively given us an early warning system for data failures, helping us fix broken connections before they affect performance.

First seen. I learned about this update when Digital Marketer Georgi Zayakov shared it on LinkedIn. I’m grateful to Georgi for sharing this valuable insight.

Inspired by this post on Search Engine Land.

February 6, 2026