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OpenAI’s ChatGPT Ad Pilot Struggles with Low Data and Lack of Automation

OpenAI’s ChatGPT ad pilot faces hurdles as advertisers report only 15% ad spend utilization and lack robust data, jeopardizing projected $17B in revenue.

OpenAI’s advertising pilot for ChatGPT is encountering significant challenges, with early advertisers expressing concerns about the lack of measurable business outcomes. According to executives from two agencies serving these advertisers, the absence of robust data has made it impossible to verify the effectiveness of the ads. Currently, OpenAI only provides basic metrics such as impressions and click-through rates, in stark contrast to established platforms like Meta and Google, which offer comprehensive performance data including audience demographics and conversion tracking.

The pilot program, launched in February, is designed to target users of the free and lowest-tier paid versions of ChatGPT in the United States. However, the process for placing advertisements is reportedly rudimentary, lacking the technical sophistication expected from an AI-driven company. Advertisers have noted that despite the pilot being halfway through its duration, spending has only reached 15% to 20% of their committed budgets, primarily due to a severe shortage of ad impressions.

OpenAI’s ambitions in this space are critical for its financial future. As of late February, ChatGPT boasted approximately 920 million weekly active users, yet only about 5% were paying subscribers as of July last year. The company projected consumer revenue from ads and subscriptions to reach $17 billion this year, making the monetization of its large user base crucial.

The advertisement cost per thousand impressions (CPM) is set at $60, comparable to premium ad placements, such as NFL live broadcasts, but with a minimum budget requirement of $200,000. The lack of automated ad-buying tools has forced advertisers to rely on phone calls, emails, and Excel spreadsheets for communication, marking a significant deviation from the streamlined processes typically associated with digital advertising.

In an effort to bolster its advertising capabilities, OpenAI recently partnered with Criteo, an ad tech company specializing in retail advertising. This collaboration aims to enhance ad-buying interfaces and offer targeting technologies. However, concerns remain over the actual value of this partnership, as sources indicate that OpenAI plans to share only limited ad-targeting data with Criteo, restricting the information to basic metrics.

OpenAI asserts that it currently provides aggregated data, including clicks, impressions, and spending to advertisers, and expects to improve these offerings as the scale of advertising increases. Yet, the company has not engaged with external firms regarding programmatic ad bidding, a common practice in the industry where advertisers can compete in real-time to display ads to users.

Challenges Ahead for Small and Medium-Sized Brands

Despite its plans for expansion, including potential ad displays to all U.S. users of free and low-cost versions of ChatGPT, small and medium-sized brands remain skeptical. A senior agency executive has revealed that they would not recommend ChatGPT advertising to clients who cannot afford experimental budgets. Marketers looking to enter this space are currently allocating only a fraction of their unverified ad budgets for testing without reallocating funds from established advertising channels like Meta or Google.

OpenAI’s spokesperson emphasized the company’s intention to proceed cautiously, stating, “ChatGPT represents a trusted and personalized environment for many people, so we are intentionally proceeding slowly—starting with a limited number of advertisers and formats, iterating as we learn.” This deliberate approach reflects both the challenges the company faces and its efforts to carve out a viable advertising model that can effectively monetize its vast user base.

As OpenAI continues to refine its advertising offerings, the initial feedback underscores the complexities inherent in establishing a successful ad platform within a rapidly evolving digital landscape. The effectiveness of its advertising strategies will be critical in determining not only the viability of OpenAI’s revenue model but also its long-term position in the competitive AI and advertising markets.

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Sofía Méndez
Written By

At AIPressa, my work focuses on deciphering how artificial intelligence is transforming digital marketing in ways that seemed like science fiction just a few years ago. I've closely followed the evolution from early automation tools to today's generative AI systems that create complete campaigns. My approach: separating strategies that truly work from marketing noise, always seeking the balance between technological innovation and measurable results. When I'm not analyzing the latest AI marketing trends, I'm probably experimenting with new automation tools or building workflows that promise to revolutionize my creative process.

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