Video summary
How to run ChatGPT Ads in Europe in 2026 (Full Tutorial)
Main summary
Key takeaways
Market / launch angle (Europe, early positioning)
- OpenAI announced expansion of CHBT ads to 31 European countries (Aug 18); the presenter gained access in Germany about a week later.
- Core pitch: because it’s “very recent,” competition in Europe is said to be virtually zero, creating an opportunity to become an early expert before Meta/Google catch up.
Ad product basics (how ads appear + eligibility)
- Where ads show up: inside natural ChatGPT conversations, positioned at the bottom of the chat.
- Ad formats available at the time: static ads only (images; carousel was mentioned).
Who sees ads (important targeting constraint)
- Ads are shown to users on Free and Go memberships.
- Users on Plus / Pro / Business do not see ads.
Concerns noted
- There’s debate that this could overweight lower-income users; the presenter argues this may not fully hold (they use a business account but still shop with a free account).
- B2B limitation: the presenter suggests the platform may be weaker if you want pure B2B targeting.
Playbook / process taught (end-to-end)
1) Account & access
- Start advertising → provide business info → verification takes ~1–2 days → access ads manager.
2) Campaign structure & naming convention
- Structure: Campaign → Ad group → Ads (similar to common ad platforms).
- Naming discipline (to track variables):
- Include the product being tested
- Include the funnel type
- Add other test identifiers
3) Tracking & conversions (core requirement)
- You must set up a conversion event (e.g., purchase/subscription).
- Conversion setup is described as annoying / error-prone:
- If you cancel incorrectly, changes may not save and you may need to restart.
“Pixel”-style setup (data source)
- Create a data source
- Copy pixel ID + setup code
- Install code on the funnel using Claude (or via “code/click to set up” / Codec)
Attribution window
- Set click-through attribution window = 30 days (implied).
4) Iteration loop (ads → funnel → iterate)
- After ads run:
- Analyze funnel analytics to find drop-off points
- Iterate ads and/or funnel elements to maximize:
- Email capture
- Conversion to paid subscription/purchase
Funnel + email capture “bridge” (best practice)
- Recommended flow:
- Ads → quiz/assessment funnel → email capture → nurture emails → later sales
5) AI personalization / context hints
- Uses “context hints” to teach the algorithm:
- Paste a conversation/topic/ICP description generated by ChatGPT (then trimmed).
- Differentiator claim vs Meta/Google:
- Meta/Google “do the whole work,” while CHBT requires more supplied context (more control, but more setup).
Concrete example (their business + funnel)
Advertised products (two memberships)
- Real-world AI builders: $29/month
- Teaches AI automations
- The $29 price point is used for feasibility/margin math
- AI business accelerator: higher priced
- Initially advertised, then paused to reduce variables
Funnel mechanics
- Quiz/assessment funnel:
- Users answer questions → receive results → enter email
- Email nurture:
- After the first 3 emails, they begin pitching
- Users segmented into levels (1–4 and 7) with different email sequences
- Example timing: 1 day later, 2 days later, etc.
Tools mentioned
- Claude for code assistance
- Kit for nurture/automation system
- For non-technical teams: consider SaaS funnel platforms like:
- Perspective
- GoHighLevel
Key metrics and KPIs reported (initial campaign)
Reported performance (CHBT campaign)
- Impressions: ~8,000
- Clicks: 100
- CTR: 1.3%
- Conversions: 4
- Spend: ~$62
- Average CPM: ~$9
- Avg cost per click (CPC): ~$6.7
- (stated as “67” — likely $0.67 or $6.7, but context implies per-click cost)
- Test budget: $250
- Speed to early activity: clicks within ~2 hours
- Presenter suspects not bots due to engagement analytics
Creative benchmark (comparison)
- Their YouTube thumbnails often perform ~5–7% CTR
- Ads/creatives below ~3% CTR are described as “usually very bad”
- Implied iteration target: aim above that threshold
Bidding / competitiveness knob
- Uses an “auction-like” conversion-optimized bidcap
- Example: ~$20 bidcap (based on $29 price and expected margin)
- Suggestion: test lower first (e.g., $5) if the ad isn’t getting clicks/impressions
Actionable recommendations / what to change first
If CTR is low
- Improve headline + ad description + image
- These are highlighted as highest-impact fields
- Turn off underperforming ads and concentrate budget on the better one
If ads aren’t getting delivery
- Adjust the bidcap parameter and/or wait
- Ads may not be “picked up” immediately
If conversion rate is poor
- Focus on funnel leakage using stage-by-stage analytics:
- Major drop at landing → start interactions
- Additional drop between Question 3 → Question 4
- Possible friction point: users not interested in “getting paid for AI work” (example identified)
Testing budget guidance
- Run a small testing budget first (examples: $250–$500) before scaling
- Anecdote: observed variance from others
- Some spend like $4K with zero conversions (possibly because the conversion feature wasn’t active at the time)
Creative constraints workaround
- CHBT was static-only at the time (less flexible than Meta/Google video creative)
- Later plan mentioned: also test Meta for more creative formats
Business execution vs investing/markets (high-level only)
- Focus remains on ad ops + funnel optimization, not financial market strategy.
- The “investment” framing is treated practically as an ROI test:
- Compare CHBT vs Meta by running head-to-head with similar budgets
- Wait ~4 weeks to update results
Presenters / sources
- Presenter: unnamed YouTube speaker in the subtitles (appears to be the course creator running the campaign and comparing CHBT vs Meta)
- Primary source referenced: OpenAI
- CHBT ad expansion announcement (Aug 18; 31-country rollout)
- Other references mentioned (non-presenters):
- Marketers/YouTubers for anecdotal results
- Tools/platforms mentioned: Claude, Kit, Perspective, GoHighLevel, Meta Ads, Google Ads
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