EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Sep 2·5 min read
ChatGPT ad targeting is garbage
TL;DR
ChatGPT ads for event seating software yielded a low conversion rate of 0.46%, despite bidding significantly below the recommended amount. This raises concerns about the effectiveness of ChatGPT ad targeting.
✦ Why It Matters
Consider alternative advertising platforms like Google Ads for better engagement and conversion rates.
Key Takeaways
- Monitor conversion rates to assess ad effectiveness.
- Use analytics tools to analyze traffic quality.
- Consider alternative ad platforms for better targeting.
- Refine ad content based on engagement metrics.
Full Summary
An experiment was conducted to assess the effectiveness of ChatGPT ads for an event seating assignment software. From August 5 to August 28, 2026, £289.52 was spent on ads, generating 2,988 clicks but only 14 installs, resulting in a conversion rate of 0.46%.
Comparatively, Google ads and free ChatGPT referrals had much higher engagement metrics, indicating that the issue lies with the quality of the paid ChatGPT traffic. Analysis using fouanalytics.com revealed that while most clicks were from humans, the traffic was poorly targeted, as evidenced by low interaction rates.
The findings suggest that ChatGPT may prioritize ad volume over quality, leading to ineffective advertising outcomes.