Real CPM, CPC, and CPA benchmarks from active ChatGPT Ads campaigns. What the platform costs, what drives price, and how to plan your budget before you launch.
ChatGPT Ads pricing is still in its early-market phase — costs are lower than they will be in 12 months, and inventory is less competitive than established platforms. That's an advantage for early movers.
This guide covers the benchmarks we're seeing from active accounts, what factors push costs up or down, and how to structure your budget to give campaigns a real chance to work.
These figures are from real ChatGPT Ads accounts managed by the Darlington team, collected across Q1–Q2 2026. Treat them as directional benchmarks, not guarantees — your industry, creative quality, and landing page experience will all affect your actual costs.
| Metric | Low | Average | High |
|---|---|---|---|
| CPM (cost per 1,000 impressions) | $6 | $14 | $28 |
| CPC (cost per click) | $0.45 | $1.20 | $3.80 |
| CTR (click-through rate) | 0.4% | 1.1% | 2.8% |
| CVR (conversion rate — traffic to conversion) | 1.2% | 3.4% | 8.6% |
| CPA — B2C lead gen | $9 | $22 | $55 |
| CPA — B2B lead gen | $24 | $58 | $140 |
| CPA — ecommerce purchase | $8 | $31 | $90 |
CPMs on ChatGPT Ads have increased approximately 35% since the platform opened to broader advertiser access in early 2026. As more advertisers enter the auction, costs will continue to rise. Early movers are currently seeing the best efficiency.
ChatGPT Ads uses a second-price auction similar to Google and Meta. Your actual cost per impression or click depends on competition, relevance, and quality. Here's what matters most:
Finance, insurance, legal, and SaaS verticals have the highest CPMs because more advertisers are competing for the same audience signals. Consumer goods and lifestyle verticals tend to be cheaper.
OpenAI's algorithm rewards ads that are relevant to the conversation context. Higher relevance = lower CPM and better placement. Poor relevance = you overpay for every impression.
OpenAI scores your destination page as part of ad quality assessment. Slow load times, irrelevant content, or poor mobile experience will raise your costs and limit delivery.
Maximise Conversions will spend your full daily budget — sometimes at higher CPAs early in learning. Setting a Target CPA too aggressively will cap delivery and slow learning.
Want a second pair of eyes on your account? Get a free account audit from the Darlington team.
Get a free audit →| Vertical | Avg CPM | Avg CPC | Avg CPA |
|---|---|---|---|
| SaaS / Software | $18 | $2.10 | $65 |
| Ecommerce / Retail | $10 | $0.80 | $24 |
| Finance / Insurance | $24 | $3.40 | $95 |
| Health & Wellness | $11 | $0.95 | $28 |
| Education / Courses | $9 | $0.70 | $18 |
| B2B Services | $20 | $2.80 | $82 |
Budget planning on ChatGPT Ads follows the same logic as other performance platforms: you need to spend enough to give the algorithm data, without burning cash on a campaign that hasn't had time to learn.
We recommend a minimum of $3,000/month to run a ChatGPT Ads campaign with enough volume to optimise. Below $1,500/month, learning is too slow and results are unreliable.
Set your daily budget at 3–5x your target CPA. If your target CPA is $40, set a daily budget of $120–$200. This gives the algorithm enough daily conversions to learn from without over-constraining delivery.
Expect 2–3 weeks of learning phase where CPAs run 20–40% above target. This is normal. Resist cutting budget or changing settings during this period — you'll reset the learning and waste what you already spent.
For most advertisers testing ChatGPT Ads for the first time, budget $5,000–$8,000 for a 6-week pilot. That gives you enough runway to get through the learning phase, test 2–3 creative angles, and have meaningful data to decide whether to scale.
Alex will personally review your current ad accounts and show you what we would improve.
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