ChatGPT Ads Performance Dashboard
ChatGPT Ads Manager builds the campaign. The ChatGPT ads dashboard in Ads Intelligence is where you find out what it’s doing — impressions, clicks, spend, CTR, CPC and CPM at any level from account down to a single ad, outliers flagged automatically, budget pacing per campaign, and a semantic map of whether your targeting actually matches what people are asking.
Account insights · ChatGPT AdsChatGPT Ads Performance Metrics
Roll up to account, or drill to campaign, ad group, ad, country, device or product for flexible ChatGPT ads reporting — hourly, daily, monthly or the whole period, with every filter and scope stored in the URL so a view can be shared or bookmarked exactly as built.
- Totals that stay honest — CTR, CPC and CPM are recomputed from summed impressions, clicks and spend, not averaged row by row, so a table of ratios can’t quietly mislead.
- Six series, each on its own scale — the trend chart normalizes every metric to its own peak with no shared y-axis, so a tall line means high relative to that metric alone; hover for the real number.
- Outliers flagged automatically — any row spending at least one currency unit gets flagged for zero clicks, CTR under half the set’s average, or CPC over one and a half times it, sorted by spend so the costliest problem surfaces first.
- Paid next to organic, not blended into it — spend, CTR, impressions and clicks sit beside your ChatGPT-only organic visibility and citations, deliberately without a combined ratio, since paid and organic are different populations on different windows.
ChatGPT Ads Cost Outliers
Zero clicks despite real spend, CTR under half the account average, or CPC over one and a half times it — any row spending at least one currency unit is checked against all three, then the flagged rows are sorted by spend so the most expensive problem is always at the top, not buried in a table sorted alphabetically.
- Three rules, checked together — a rejected creative can show as active with zero delivery; resolve review state before diagnosing bidding or copy.
- Sorted by spend, not severity — the campaign burning the most money against a flagged pattern surfaces first.
- Pacing read alongside it — a campaign flagged for high CPC that’s also over its planned spend share is two signals pointing the same direction.
ChatGPT Ads Query Targeting
The semantic map projects context-hint embeddings and landing-page headings into two dimensions alongside tracked prompts and fan-out queries. Position has no business units — x and y aren’t metrics — only proximity matters. Tight clusters mean your targeting and your landing page both sit close to real demand; an isolated hint or page cluster is a sign the targeting, copy or destination page needs a second look.
- Proximity, not direction — there’s no “better” corner of the map; only how close points sit to each other.
- Three point types — triangles are your context hints, diamonds are landing-page title/heading elements, small circles are tracked prompts and fan-out queries.
- Demand always visible — prompt and query points stay on the map at every scope; landing-page points only appear once you narrow to an ad group or single ad.
of planned daily burn is what “on pace” means — under is under-spending, over is over-spending
Budget pacing is computed per campaign from the selected window’s daily burn, then compared against two stacked share bars: how the account planned to distribute spend, and how it actually did.
See ChatGPT Ads ManagerChatGPT Ads Campaign Analysis
Flexible reporting from account down to a single ad, outliers flagged by spend, budget pacing per campaign, and a semantic map of targeting against real prompt demand.
Account insights · ChatGPT AdsReady to see what your ChatGPT ad spend is actually doing?
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