How I Launched My First ChatGPT Ads Campaign

Source: YouTube auto-generated captions, lightly cleaned (repeated caption lines removed, misheard brand names corrected).

0:00 — Wasted spend still hides

Last 30 days on one live account under management, total spend hit $913. 307 of that went to search terms with zero conversions. 104 distinct terms are negative keyword candidates right now. Average CPA sits at $57. That waste is why a clean first campaign on a new surface matters. A $57 CPA is not fatal, but paying for zero conversion queries is pure drag. When you open a new ads product, you do not want that same mess on day one.

ChatGPT ads is still early. Inventory is limited, and the setup order decides whether your first dollars teach you

0:44 — A new ads surface

anything useful or just burn. ChatGPT ads runs inside OpenAI's ads manager beta. You buy attention next to answers, not on a search results page. The unit economics feel closer to paid social reach than to exact match search. That is first campaign type you pick, and how you wire measurement matter more

1:06 — Step 1 — Open Ads Manager Beta

than clever copy on launch day. Step one is simply getting into ads manager beta with the right workspace selected. You open the beta, confirm the account that will hold spend, and stay there until the campaign shell exists. Leaving mid-setup to chase creative or tags is how people often half-built campaigns and lose the thread on billing and permissions. You do this first because every later object hangs off that account context. Ad groups, pixels, and GTM containers resolve to whatever workspace you are in when you click create. If you switch accounts after the campaign exists, you spend an afternoon reconciling which property owns the hit and which card is getting charged. Step

1:48 — Step 2 — Build a Reach campaign

two is creating a reach campaign, not a conversion-optimized one you cannot feed yet. Reach is the honest objective when you lack stable conversion volume on this surface. You set a CPM bid you can defend from real delivery, name the campaign so reporting stays readable, and lock geo in dates before you touch creative. On the live account we use as the anchor, the CPM bid is set to a level that actually delivers impressions instead of sitting idle. A pretty low bid that never wins auction teaches you nothing. Pay enough to get clean delivery samples, then read frequency and spend pace before you scale. Idle budget is just another form of waste.

Step three is two ad groups under that

2:33 — Step 3 — Create two ad groups

reach campaign, not one catch-all. Split on a single meaningful axis you can act on later, such as message angle or audience theme. Two groups give you a control and a challenger without exploding the account into noise. More than two on day one usually dilutes learning. Two groups matter because ChatGPT inventory is thin and early readouts are noisy. One group hides which idea drove the CPM efficiency. Three or four groups starve each other before any row earns trust.

Keep naming tight, mirror the structure in your notes, and resist adding a third group until one of the first two clearly wins on cost and relevance. Step four is wiring Google Tag Manager so clicks and downstream events are not a mystery.

3:18 — Step 4 — Wire GTM

Connect the tag path that marks arrivals from this campaign, verify the container files on the landing experience you actually use, and only then turn on meaningful spend. Without that wire, the reach data dies at the impression. You wire GTM before scaling because reach without a landing signal is just a bill. The same account that already leaks $307 to zero conversion search terms cannot afford a second blind channel. Confirm the tag in preview, ship the container, and watch one test click land with the right parameters before you raise budget. This all the matters because each step removes a different failure mode.

4:01 — Why this order matters

Beta and account first stops orphaned

objects. Reach second matches thin early data. Two ad groups third creates a fair read. GTN last among setup, but before scale, stops unattributed spend. Skip ahead and you debug billing, creative, and tracking in the same hour with no clean baseline. Launch creative before the account context is fixed, and you rebuild the campaign. Bid before you accept reach as the objective, and you chase a conversion goal a system cannot learn. Scale before GTM, and you repeat the zero conversion leak you already see in search. The sequence is boring on purpose. Boring is how first campaign stay readable. Once live, read delivery before you read story. Confirm

4:46 — First live read

impressions actually arrive at the CPM you set. Then compare the two ad groups on spend share and early engagement. Hold budget steady long enough for a fair sample. If one group sits dark, fix eligibility or creative before you touch the bid again. Motion without a read is just spend. Recap the path in four moves. Open Ads

5:09 — Recap

Manager beta on the correct account and stay there. Build a reach campaign with a CPM bid that delivers. Stand up exactly two ad groups on one clear split. Wire GTM, verify a test click, then spend. That is the whole launch. Everything else is optimization after you have a clean baseline. Treat the first ChatGPT ads campaign like a measured instrument, not a creative playground. Protect the account context. Buy reach you can observe, split once, and measure on purpose.

The full write-up with screenshots lives on the blog on ahmeego.com. Buddy by Ahmeego, a company of It All Started With an Idea.