An advertiser conducted an experiment running ads on ChatGPT for event seating assignment software from August 5 to August 28, 2026. The advertiser bid between £0.07 and £0.15 per click, significantly lower than ChatGPT's recommended £2 per click, yet still acquired traffic.
The experiment resulted in a 0.46% conversion rate, which the advertiser deemed insufficient to generate profit given the product's lifetime customer value. This conversion rate was considerably lower than traffic from other sources during the same period, suggesting an issue specific to ChatGPT ad traffic.
The advertiser systematically investigated several potential causes for the low conversion rate. Discrepancies between OpenAI's reported clicks and Google Analytics were ruled out, as were issues with the ad's context hint or the ad creatives themselves, which were similar to successful Google Adwords campaigns. Initial concerns about bot traffic were addressed by consulting digital ad fraud expert Dr. Augustine Fou, whose analysis indicated that while some bot activity was present (30% showing red flags), it was not extensive enough to explain the poor conversion rate.
With other factors ruled out, the advertiser concluded that poor traffic targeting was the primary cause of the low conversion rates. Fouanalytics data supported this, showing that 88% of traffic moved their mouse but only 10% clicked anything on the landing page, indicating a lack of genuine interest from the audience receiving the ads.
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An advertiser reported extremely low conversion rates (0.46%) from ChatGPT ads for event seating software, despite comparable ad creatives and lower bids than recommended. Analysis suggests the primary issue is poor traffic targeting rather than bot clicks or ad quality, indicating a potential problem with ChatGPT's ad delivery effectiveness.