01
What Magnify will benchmark
The benchmark framework is designed around impressions, clicks, CTR, spend, CPC, conversions, conversion rate, CPA and conversion value where measurement quality is sufficient. Ecommerce cuts can also use product-feed and product-group context.
02
Publication threshold
Magnify will not publish a segment until it clears a minimum advertiser-count threshold and sufficient event volume. Small samples, identifiable accounts and unstable slices remain unpublished rather than being presented as market truth.
- No advertiser-level public rows.
- No segment published from a tiny number of accounts.
- Median and percentile views preferred over simple averages when outliers can distort the result.
- Measurement-quality flags stay visible when conversion tracking is incomplete.
03
Current status
The public methodology is live before the benchmark table. That is intentional. Until Magnify has enough eligible first-party ChatGPT Ads data to publish a defensible aggregate, this page will not invent CPC, CTR or conversion benchmarks.
04
Why this becomes a data moat
As Magnify manages more cross-channel ecommerce data, the useful research is not only a single ChatGPT metric. It is how conversational advertising behaves by product type, business model, campaign objective and relative to the same advertiser's Google Ads economics.