This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Free open beta. No card, no limits.You know conversions are down. You don't know why. GA4 shows the drop, dashboards show more charts, neither tells you what to fix.ConvRadar plugs your GA4 into Claude, ChatGPT, Cursor, or Codex and runs a real CRO audit — funnel drop-offs, traffic quality, weak products, prioritized fixes for each.Ask "what's wrong with my checkout?" — get answers, not charts.Tuned for e-commerce on GA4 right now. Looking for honest feedback.
Hey PH 👋 I'm Ivan. I run CRO for e-commerce and SaaS clients, and every project goes the same way: Client asks "why are conversions down?" I open GA4. Spend an hour digging through funnels, segments, landing pages. Find the answer. Record a Loom. Done. I got tired of being the bottleneck. ConvRadar is that whole loop inside Claude, ChatGPT, Cursor, or Codex. Connect your GA4, ask "what's wrong with checkout?" and it runs the audit — funnel drops, traffic quality, product issues — and gives you a fix list. Not another chart. An actual "do this, then this" with expected impact and case studies behind each one. Built it because every analytics tool I've ever used stops one step short. They show you the problem and walk away. This one tells you what to do. Honest feedback wanted — especially where it misses or where the recommendations feel weak. That's what I'm fixing next. — Ivan (@IvanDataanalyst)
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About Conversion Radar on Product Hunt
“GA4 CRO audits inside Claude, ChatGPT, and Cursor”
Conversion Radar was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #95 on the daily leaderboard. Free open beta. No card, no limits.You know conversions are down. You don't know why. GA4 shows the drop, dashboards show more charts, neither tells you what to fix.ConvRadar plugs your GA4 into Claude, ChatGPT, Cursor, or Codex and runs a real CRO audit — funnel drop-offs, traffic quality, weak products, prioritized fixes for each.Ask "what's wrong with my checkout?" — get answers, not charts.Tuned for e-commerce on GA4 right now. Looking for honest feedback.
Conversion Radar was featured in Marketing (464k followers), SaaS (42.2k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 119.8k products, making this a competitive space to launch in.
Who hunted Conversion Radar?
Conversion Radar was hunted by Ivan Pika. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Conversion Radar stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ivan Pika
Hey PH 👋
I'm Ivan. I run CRO for e-commerce and SaaS clients, and every project goes the same way:
Client asks "why are conversions down?" I open GA4. Spend an hour digging through funnels, segments, landing pages. Find the answer. Record a Loom. Done.
I got tired of being the bottleneck.
ConvRadar is that whole loop inside Claude, ChatGPT, Cursor, or Codex. Connect your GA4, ask "what's wrong with checkout?" and it runs the audit — funnel drops, traffic quality, product issues — and gives you a fix list. Not another chart. An actual "do this, then this" with expected impact and case studies behind each one.
Built it because every analytics tool I've ever used stops one step short. They show you the problem and walk away. This one tells you what to do.
Honest feedback wanted — especially where it misses or where the recommendations feel weak. That's what I'm fixing next.
— Ivan (@IvanDataanalyst)