The Daily Carnage

ChatGPT ads work a lot more like search advertising than traditional social ads.

OpenAI’s self-serve ad platform is now available to advertisers, with campaigns targeting conversations where a product or service may be relevant.

If you’re thinking about experimenting, here’s a useful seven-step guide:

1. Confirm you’re eligible. Check OpenAI’s advertising policies and make sure your business and target markets qualify. Daily budgets can start as low as $25.
2. Set up your ad account. Have your legal business name, tax ID, payment method and favicon ready before creating an account.
3. Structure your campaigns. Campaigns contain ad groups and ads, with options for objectives, locations, budgets, bids and conversion events.
4. Choose your targeting. There are no traditional keywords, demographics or in-market audiences. Instead, advertisers use “context hints” to describe the conversations and topics where their ads should appear.
5. Create your ads. Static ads include a headline, description, destination URL and image. Product ads can use product feeds.
6. Set up measurement. Install OpenAI’s pixel and use UTM parameters so you can track traffic and conversions in tools such as GA4.
7. Optimize with limited data. Test different ads, campaign structures and targeting approaches, but expect less visibility into exactly which conversations triggered your ads.

MarTech reports average CPCs of roughly $2–$5, while one test found ChatGPT traffic converted at a much lower rate than Google Ads. Still, the platform can reach people researching solutions in ways traditional search may not.

Check out more at Martech.

Average metrics make reports easier to read, but they can also hide the campaigns, keywords, or audiences that actually need attention.

A healthy average CPA or ROAS doesn’t necessarily mean every part of the account is performing well. High-performing campaigns often mask underperformers, making optimization decisions based on account-wide numbers far less effective.

Looking at performance by campaign, device, audience, location, or time of day gives a much clearer picture of what’s driving results—and what’s dragging them down.

Here are five takeaways:

• Question account-wide averages. Strong overall numbers can hide campaigns or segments that are quietly wasting budget.
• Break down your data. Analyze performance by campaign, audience, device, geography, and time to uncover meaningful patterns.
• Prioritize outliers. The biggest optimization opportunities are often found in the best- and worst-performing segments, not in the average.
• Compare trends, not snapshots. Averages become more useful when paired with changes over time instead of being viewed in isolation.
• Optimize with context. Decisions backed by segmented data are far more likely to improve efficiency than those based on overall account metrics.

Get the full scoop at PPC Hero.