Author name: Adriaan

In Episode 4 of Ads DevCast, Google shares best practices for scaling advertising integrations across Google Ads API, Data Manager API, DV360, Google Ads scripts, and Google Analytics. Key recommendations include respecting rate limits with exponential backoff, implementing structured logging and monitoring, using official client libraries, and caching stable data. Product-specific tips cover batching operations […]

Google has expanded the Data Manager API with two major updates: support for uploading store sales conversions to Google Ads in a single API request, and broader event ingestion capabilities for Google Analytics. Developers can now send recommended and custom web and app events directly to GA4 data streams using a unified schema, with support

Google is aiming to bring content and titles related exclusions to the account level to complement AI max’s current inventory!

Launching your first campaign in OpenAI Ads Manager Beta is simple: 1️⃣ Create your Ads Manager Beta account2️⃣ Build campaigns, ad groups, and ads3️⃣ Launch, monitor performance, and optimize over time Track key metrics like impressions, clicks, CTR, CPC, CPM, and conversions — all directly inside Ads Manager Beta. Start building smarter conversational ad experiences

OpenAI quietly revealed how ChatGPT Ads actually work and it’s much more sophisticated than most people realize. After reviewing the Ads Manager Beta documentation, here’s the core structure behind launching campaigns inside ChatGPT: ━━━━━━━━━━━━━━━HOW CHATGPT ADS WORK━━━━━━━━━━━━━━━ CAMPAIGN Defines: • Objective• Budget• Countries• Dates ↓ AD GROUP Defines:• Themes• Intent clusters• Context hints ↓ AD

AI advertising is no longer experimental it’s already shaping how people discover products. New data across ChatGPT, Google AI Mode, and AI Overviews reveals just how fast behavior is changing: • 460M people discover products in AI every month• 83% of ad-triggering ChatGPT queries are completely unique• 41% of AI ad moments are research-driven• 46%

Most advertisers think “AI in Google Ads” means turning on Performance Max.It’s not. AI is only as good as the: • conversion signals• data quality• account structure• creative inputs• landing pages you give it. If those foundations are weak, AI scales inefficiency faster. The accounts getting the best results from AI right now usually have:

The role is shifting from:“campaign manager” to: AI-enhanced growth operator. In 2026, the advantage probably won’t come from: • manual bid tweaks• endless keyword sculpting• micromanaging campaigns Google’s AI increasingly handles that. The real edge is moving toward: → signal quality→ creative systems→ AI-assisted workflows→ automation→ strategic thinking→ conversion architecture→ human oversight & interpretation The

Most Google Ads accounts don’t fail because of one big mistake. They fail because of dozens of small ones that compound over time. Things like: weak conversion trackingbroad targetingignoring search termspoor landing pagesstale ad copyoptimizing for clicks instead of revenuemaking decisions without enough data At the same time, the accounts that consistently outperform usually do

That’s the wrong way to think about it. They’re not competing journeys. They’re different ways of influencing the same customer. A real customer journey today might look like this: → discovers you through SEO→ sees your Google Ads later→ reads reviews→ clicks a remarketing ad→ searches your brand again→ converts direct Or the reverse. That’s