2 Sources
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OpenAI shifts ChatGPT ads to cost-per-click as $60 CPM erodes in ten weeks and ad revenue targets hit $2.5 billion
Summary: OpenAI has shifted ChatGPT's advertising from CPM to cost-per-click pricing, with bids between $3 and $5, after the $60 CPM it charged at launch in February eroded to as low as $25 within ten weeks. The move puts OpenAI in direct competition with Google and Meta for performance ad budgets,
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OpenAI Begins Offering Cost-Per-Click Ad Campaigns on ChatGPT | PYMNTS.com
That's according to a report Tuesday (April 21) from The Information, citing screenshots of the artificial intelligence (AI) company's ad manager. The news outlet said this confirms its story on the change from last week, which was based on comments from an ad agency executive. Those new ads, the
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OpenAI has moved ChatGPT ads from CPM to cost-per-click pricing after its initial $60 CPM dropped to $25 within ten weeks. Advertisers can now bid $3-$5 per click with a reduced $50,000 minimum spend. The shift puts OpenAI in direct competition with Google and Meta for performance ad budgets as the company projects $2.5 billion in ad revenue by 2026.
OpenAI has fundamentally restructured its ChatGPT advertising model, transitioning from cost-per-thousand impressions to cost-per-click (CPC) pricing just ten weeks after launching ads inside the chatbot
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. The shift from cost-per-thousand impressions marks a strategic pivot driven by financial necessity, as the initial $60 CPM that OpenAI charged at launch in February eroded to as low as $25 in some cases, making the volume-dependent impressions model unsustainable1
. Advertisers can now set bids between $3 and $5 per click through OpenAI's new ads manager, while the minimum spend requirement has been slashed from $250,000 to $50,0001
. This move places OpenAI in direct competition with Google and Meta for performance ad budgets, a significant escalation in the AI company's monetisation strategies.
Source: PYMNTS
The ChatGPT advertising model displays ads contextually within conversations, appearing at the bottom of responses with a "sponsored" label and visual separation from the actual answer
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. Product-focused queries can trigger sponsored product cards similar to those on Google Shopping, creating a familiar experience for users accustomed to AI search interfaces1
. Only users on the free tier and the $8-per-month Go plan see ads, while paid subscribers on Plus, Pro, Business, Enterprise, and Education tiers remain ad-free1
. Targeting relies on contextual matching to the current conversation topic rather than demographic or third-party data, with advertisers receiving only aggregated performance data showing total views and clicks without access to user conversations, chat history, names, email addresses, or IP addresses1
.OpenAI projects ambitious ad revenue targets of $2.5 billion for 2026, scaling to $11 billion by 2027 and $100 billion by 2030
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. These projections come as the company faces $14 billion in losses this year and an $852 billion valuation that investors are already questioning1
. The initial advertising pilot, launched on February 9 with early advertisers including Target, Ford, Adobe, Mrs. Meyer's, and Expedia, topped $100 million in annualised revenue within two months with several hundred advertisers participating1
. However, the rapid erosion of CPM rates exposed vulnerabilities in the impressions-based approach. A leaked StackAdapt deck shared with select buyers on March 27 offered CPMs as low as $15, a quarter of the launch rate1
.The introduction of cost-per-click advertising campaigns ties ad revenue to demonstrable user engagement rather than passive exposure, aligning OpenAI's model with how advertisers already evaluate performance advertising on established platforms
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. OpenAI's ad manager now lets advertisers choose whether to optimize campaigns for views or clicks and set maximum amounts they're willing to pay per click2
. Advertisers can also provide "context hints" to help inform the types of queries that will generate ads2
. OpenAI is exploring action-based ad formats designed to drive purchases or app downloads directly from within a conversation, though the timeline for this rollout remains unclear1
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.The speed of OpenAI's advertising infrastructure development has been notable. The company hired Shivakumar Venkataraman, a 21-year Google veteran who led Google's search ads business, as vice president in June 2024
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. Since February, OpenAI has partnered with StackAdapt for programmatic placement, built a conversion tracking pixel supporting events including lead creation, order creation, and subscription starts, and launched a self-serve ads manager that opened to global advertisers on April 151
. International expansion to Australia, New Zealand, and Canada followed within 48 hours1
. The company has also partnered with Smartly and Criteo to build conversational ad formats connecting to Criteo's network of 17,000 advertisers1
.Related Stories
Sam Altman spent two years building a public position against advertising before the February launch. He called ads a "momentary industry" in 2024 and described them as a "last resort" at Harvard
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. He told interviewers that "ads-plus-AI is sort of uniquely unsettling to me" and that he liked "that people pay for ChatGPT and know the answers they're getting are not influenced by advertisers"1
. When ads went live on February 9, Altman posted on X that OpenAI "will not accept money to influence the answer ChatGPT gives you" and keeps conversations private from advertisers1
. Chris Lehane, OpenAI's vice president of global affairs, defended the move by arguing that advertising helps "expand democratic access" to the chatbot1
. In response to Anthropic's Super Bowl commercials promoting Claude as ad-free, Altman argued that Anthropic "serves an expensive product to rich people" while OpenAI needs to bring AI to "billions of people who can't pay for subscriptions"1
.The advertising industry is developing new ad infrastructure to handle AI-driven disruptions. A new initiative known as the Ad Context Protocol is emerging as a standard for AI agents to communicate with publishers, ad platforms and each other
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. This protocol lets software agents plan, negotiate and activate campaigns via a common machine-readable interface rather than a patchwork of proprietary APIs2
. The timing reflects how autonomous systems are gaining the ability to transact on behalf of users or enterprises, pushing industries to define protocol layers before agent activity scales2
. For OpenAI, balancing subscription revenue with advertising income will determine whether the company can justify its valuation while competing against established players in both AI and digital advertising markets.Summarized by
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