Improving your Advertising Workflows
It’s an incredible time to be a developer in the advertising space. Innovation is moving at a breakneck pace, and we’re shifting from incremental API integrations to fundamental improvements in how technical users interact with our platforms. In the latest episode of Ads DevCast, I sat down with my colleague Matt Landers to discuss how AI is moving from "hype" to "utility," decreasing friction in development and delivering tangible business results.
The Power of Multi-Product Insights
One of the most exciting developments we’re seeing is the value of Advertising MCPs (Model Context Protocol) servers showing up. These open-standard tools allow your AI agents to interact directly with the Google Ads and Google Analytics APIs.
Historically, solving a problem like "why is my high-CTR ad not converting?" meant a lot of manual data joining between Ads and Analytics. By combining the Google Ads and Analytics MCPs, you can now perform this analysis in seconds using natural language. You can verify engagement rates, identify content mismatches on landing pages, and even suggest ROI improvements in the time it takes to brew a cup of coffee.
Efficiency and Speed with Natural Language
We’re also seeing AI make technical tasks more accessible. A great example is the recent update to our Sheets Report Builder add-on for Google Analytics 4. Previously, creating complex reports required manually adding dimensions, metrics, and filters in the UI. Now, with Gemini integrated directly into Sheets, you can simply ask, "What's my highest converting landing page?" and the tool automatically sets all the parameters in the UI, sends the API request, and imports the data for you.
The Senior Pair Programmer in Your CLI
For developers deep in the code, the Google Ads API Developer Assistant is a game-changer. Think of it as a senior pair programmer that has memorized the entire API schema and every possible error code. Whether you’re troubleshooting conversion uploads or finding hidden problems in your account, the assistant doesn’t just explain what’s wrong—it can generate, debug, and even run the fix directly in your environment.
Health, Diagnostics, and Seamless Migrations
Beyond AI-driven insights, we’re focused on improving the underlying health of your technical systems. The Data Manager API will soon feature integrated diagnostics in the UI, allowing you to track what went wrong with your integrations. Last but not least, for publishers, we’ve released a new migration skill for the AdMob SDK to help you transition between versions with the help of your coding agent.
Experiment, Fail Fast, and Build Great Things
The barrier to entry for building sophisticated, data-driven advertising solutions is dropping. By automating the busy work, you’re freed up to focus on high-impact projects that drive real business growth.
Ready to dive deeper?
Watch the full episode: goo.gle/watchadsdevcast
Listen on the go: goo.gle/listenadsdevcast
Take our Episode 3 Survey: goo.gle/adc-survey-e3
Join our Discord Community: goo.gle/ads-and-measurement-discord
Cory Liseno
Google’s Advertising and Measurement Developer Relations team
