ChatGPT ads are reportedly shifting from cost-per-impression pricing to cost-per-click, with bids set between $3 and $5 per click. The move, first reported by Digiday, follows a period of declining CPM rates that dropped from approximately $60 at launch to as low as $25 in roughly ten weeks.

Declining CPMs pushed OpenAI toward performance pricing

OpenAI launched ChatGPT ads in February using a CPM model with rates around $60. Those rates reportedly fell within weeks, pushing OpenAI toward a model where advertisers pay for clicks rather than impressions. The CPC option rolled out shortly after OpenAI opened its self-serve ads manager to advertisers, alongside a reduction in minimum ad spend from $250,000 to $50,000.

CPC is the pricing model that underpins Google's search advertising business. By adopting it, OpenAI is positioning ChatGPT as a performance marketing channel capable of delivering measurable, high-intent clicks. The reported $3–$5 CPC range is competitive with Google Search CPCs in many verticals, though whether ChatGPT can match conversion rates remains unproven.

Conversion tracking and programmatic placement expand the ad stack

OpenAI has also reportedly partnered with StackAdapt for programmatic ad placement and built a conversion tracking pixel that supports lead creation, order creation, and subscription start events. These additions bring ChatGPT's ad infrastructure closer to what performance advertisers expect from established platforms.

The progression from a closed self-serve ads manager to a broader rollout to more advertisers, international expansion, and a Smartly partnership for interactive ad formats has been rapid. OpenAI reportedly projects $2.5 billion in advertising revenue for 2026, scaling to $11 billion by 2027.

AI advertising competition shifts to performance budgets

The CPC shift arrives as Microsoft builds its own AI ad ecosystem around Copilot, with recent updates adding diagnostics, LinkedIn targeting, and creative controls. The AI advertising race is increasingly focused on proving that AI interfaces can capture performance marketing budgets, not just brand awareness spend.

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