This week's PPC Pulse brings significant updates from the world of digital advertising, building on recent announcements regarding ChatGPT ads and Google's new 'Ads Decoded' podcast. OpenAI is reportedly launching premium-priced ads for ChatGPT with limited data, while Google has debuted the first episode of its 'Ads Decoded' podcast, focusing on Google Analytics 4 (GA4) for marketers.

ChatGPT Ads Reportedly Launching with $60 CPMs

According to reports from The Information, OpenAI's ChatGPT ads are slated to begin with a cost-per-mille (CPM) of approximately $60. This premium pricing is roughly three times higher than typical Meta CPMs, positioning ChatGPT ads as a high-value, albeit potentially high-cost, advertising channel.

Despite the steep entry price, advertisers will initially face limitations in measurement and reporting tools. OpenAI has indicated that reporting will be restricted to high-level metrics such as total impressions and clicks, with no immediate visibility into conversion actions. While future expansions to measurement capabilities are possible, nothing has been confirmed.

Following last week's announcement, these ads are expected to roll out in the coming weeks to users on ChatGPT's Free and Go tiers. They will appear at the bottom of responses, specifically when OpenAI determines there's a relevant product or service tied to the conversation. Initial brand buy-in is also reportedly set at a substantial $1 million ad spend.

Why This Matters for Advertisers

While CPM advertising is a familiar concept, the lack of comprehensive reporting on a new platform like ChatGPT raises concerns for advertisers. In an environment where marketing budgets are scrutinized, justifying every dollar spent without clear conversion data presents a significant challenge.

Although the intent signal from ChatGPT conversations could prove powerful, the absence of robust measurement tools means advertisers cannot effectively prove value or optimize campaigns. This combination of high CPMs and minimal data initially positions ChatGPT ads more as a brand awareness play rather than a performance-driven channel.

Brands should approach this opportunity much like early-stage display or over-the-top (OTT) advertising, where the primary focus is on attention and reach, rather than immediate, measurable return on investment (ROI).

An interesting aspect of the ChatGPT ads test is OpenAI's commitment that ads will not influence answers. If this holds true, ad placement will rely solely on genuine relevance to the user's current conversation. This framework differs significantly from traditional search and social ads, potentially leading to a more selective and smaller advertising platform rather than a broadly accessible one.

What PPC Professionals Are Saying

The reported $60 CPM starting point has elicited mixed reactions from PPC professionals.

Some marketers, like Andrew Lolk, founder of SavvyRevenue, and Collin Slatterly, founder of Taikun Digital, are not necessarily deterred by the figure. Slatterly commented:

"$60 CPMs for ads in ChatGPT are probably a good deal. These ads are intent based which more akin to Google search and shopping ads than Meta or TV. Someone is asking chatGPT 'What's the best supplement for sleep?' which is exactly how ads on Google are."

Lolk echoed a similar sentiment, focusing on ROI over CPM:

"Unpopular opinion: I don't care what CPM ChatGPT set their ads to. I care about the return on those ads. The CPM is irrelevant. Obviously, the lower CPM, the better it is for advertisers. But before we know what the return is on a $60 CPM, then I will not say it's good or bad."

However, the debate continued, with opposing viewpoints. Melissa Mackey, Head of Paid Search at Compound Growth Marketing, stated she would "not paying $60 CPM for something with limited data and no conversion tracking" given that ChatGPT ads are not set up as a performance channel.

Adding to the discussion, Harrison Jack Hepp, owner of Industrious Marketing LLC, reported receiving pitches from agencies claiming to have already run ChatGPT ads, despite the platform not yet having launched its ad program.

Screenshot from LinkedIn by author, January 2026

First Ads Decoded Episode Focuses on Google Analytics 4

Google launched the first episode of its 'Ads Decoded' podcast on January 28, 2026. Hosted by Ginny Marvin, Google's Ads product liaison, the inaugural episode featured Eleanor Stribling, Group Product Manager at Google Analytics. The discussion provided foundational insights into data strength and offered a candid look into the future trajectory of GA4 over the next few years.

For advertisers who have found the transition to GA4 challenging since it replaced Universal Analytics, this episode offers valuable context. Stribling openly addressed GA4's "rocky reputation," explaining Google's strategic direction for the platform. The conversation outlined two distinct roadmaps: changes expected within the next 12-24 months and long-term developments planned over the next three-plus years.

A recurring theme was the critical importance of data strength, particularly for AI performance and creating a competitive advantage. Stribling also provided practical guidance on setting up measurement correctly to ensure the data fed into these systems is genuinely useful.

Why This Matters for Advertisers

The timing of this episode is particularly astute. GA4 has been live for some time, yet many advertisers still perceive it as a downgrade from Universal Analytics. Marvin herself acknowledged during the podcast that the platform often felt designed for developers rather than marketers.

The podcast's value lies not just in presenting Google's vision for GA4, but in hearing a product manager explain the rationale behind specific decisions and the problems they aim to solve. This context is crucial for advertisers deciding whether to invest time in learning current features or awaiting future improvements.

The most actionable takeaway from the episode is the imperative to prioritize data strength. A messy setup now will only widen the gap between GA4's potential and its actual utility for your business.

What PPC Professionals Are Saying

Feedback from advertisers on LinkedIn regarding the 'Ads Decoded' podcast has been overwhelmingly positive, indicating a strong demand for this type of direct communication from Google.

Susan Wenograd, Senior Director of Paid Media at Mixtape Digital, simply commented, "Love that you're doing this!"

John Sargent, Founder & Managing Director of Think VEN, offered his support and posed a question about AI market share:

Congratulations Ginny! Keen to hear more in the future about AI advertising as well…Gemini going from 5% to >20% market share must be encouraging, but still early days with OpenAI sat at 60%+? How do you foresee this shifting over the next 12 months?

Alexandru Stambari, a performance marketing specialist, praised Google's transparency while also critiquing execution:

It's good to see Google openly acknowledging that data strength is now a hard requirement for AI performance, not a "nice to have." The focus on Analytics Advisor and transparency around Ads vs Analytics discrepancies is especially valuable for teams trying to scale automation responsibly.

That said, most of these ideas aren't new for practitioners the real gap is still execution. Without clear implementation standards, CRM alignment, and ownership over data quality, even the best product updates risk staying at the storytelling level rather than driving measurable impact.

Theme of the Week: Betting on What Advertisers Will Pay For

This week's announcements highlight two distinct approaches to what advertisers truly value.

ChatGPT is making a bold bet that access to high-intent conversations justifies $60 CPMs, even without the performance data advertisers typically expect. They are testing whether context and user attention alone can command premium pricing when attribution and optimization tools are limited.

Conversely, Google is betting on the power of transparency, dedicating an entire podcast to it. Instead of simply rolling out new ad products, they are investing in helping advertisers understand existing platforms and future developments. This suggests a belief that improved communication and clearer explanations hold significant value for the advertising community.

Both platforms are asking advertisers to consider factors beyond pure performance metrics. ChatGPT seeks payment for placement without immediate proof of ROI, while Google encourages investment in learning about platform changes rather than just executing campaigns.

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