Rare AI is an AI-powered marketing intelligence platform that helps marketers, agencies and founders analyze advertising performance, identify risks and turn complex campaign data into clear, actionable insights.
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Maker
📌
Hi Product Hunt 👋
I’m Rajeev, the founder of Rare AI.
I’ve spent more than 15 years working across growth marketing, customer acquisition and entrepreneurship.
During that time, I kept seeing the same problem.
Marketing platforms give us more data than ever—but more data does not necessarily mean better decisions.
You can have hundreds or thousands of rows of campaign data and still struggle to answer simple questions:
What is actually going wrong?
What requires attention first?
Where is performance deteriorating?
What should I investigate next?
That is why I built Rare AI.
Rare AI is designed to turn advertising performance data into structured marketing intelligence that marketers, agencies and business leaders can understand and act on.
My own journey to building this product has not been linear. I previously built a mobility startup that grew to 700+ driver partners and a 35-member team. That venture eventually ended. I returned to corporate growth roles, continued learning, managed large acquisition programs and helped scale a consumer social platform to 1.4M+ users.
Rare AI brings together many of the lessons from that journey.
This is still the beginning, and I would genuinely value your feedback:
What would you want an AI marketing intelligence platform to tell you that your existing dashboards don't?
Thank you for checking out Rare AI.
— Rajeev
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The risk flagging on underperforming ad sets actually caught an issue I had missed in my own dashboard. Would love to see historical comparison views added.
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Maker
@emrahoizm I really appreciate that. Our goal is exactly that—to help marketers prioritize what needs attention instead of simply presenting more metrics.
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Maker
@emrahoizm Thank you! Historical trend analysis and comparison across reporting periods is one of the features we're planning because it helps put current performance into context.
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How does Rare AI handle attribution when campaigns run across multiple platforms like Meta, Google, and TikTok at the same time?
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Maker
@erva914472 Great question. Today Rare AI analyzes uploaded platform data individually. We're actively exploring cross-platform intelligence so marketers can understand performance across Meta, Google and other channels in a unified way.
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Finally tried Rare AI on a messy client account and the risk flags actually matched what I had been suspecting. Wish the onboarding had a sample dataset to play with first.
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Maker
@eydalkmenuzdo ou! That's really helpful feedback. A sample dataset and guided walkthrough are both on our roadmap because we want new users to experience the platform before uploading their own data.
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The way you surface risk indicators alongside the raw metrics is genuinely thoughtful, not just another dashboard dumping numbers. Whoever designed the insights flow clearly understands how marketers actually triage campaigns under pressure.
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Maker
@ramazan786769 I really appreciate that. Our goal is exactly that—to help marketers prioritize what needs attention instead of simply presenting more metrics.
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Love how clean the dashboard feels, especially the way risks are flagged visually before you even dive into the metrics.
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Maker
@parkpiper66988 Thank you! We spent a lot of time making risk signals easy to understand before diving into detailed metrics. It's great to hear that approach resonated.
The risk flagging on underperforming ad sets actually caught an issue I had missed in my own dashboard. Would love to see historical comparison views added.
@emrahoizm I really appreciate that. Our goal is exactly that—to help marketers prioritize what needs attention instead of simply presenting more metrics.
@emrahoizm Thank you! Historical trend analysis and comparison across reporting periods is one of the features we're planning because it helps put current performance into context.
How does Rare AI handle attribution when campaigns run across multiple platforms like Meta, Google, and TikTok at the same time?
@erva914472 Great question. Today Rare AI analyzes uploaded platform data individually. We're actively exploring cross-platform intelligence so marketers can understand performance across Meta, Google and other channels in a unified way.
Finally tried Rare AI on a messy client account and the risk flags actually matched what I had been suspecting. Wish the onboarding had a sample dataset to play with first.
@eydalkmenuzdo ou! That's really helpful feedback. A sample dataset and guided walkthrough are both on our roadmap because we want new users to experience the platform before uploading their own data.
The way you surface risk indicators alongside the raw metrics is genuinely thoughtful, not just another dashboard dumping numbers. Whoever designed the insights flow clearly understands how marketers actually triage campaigns under pressure.
@ramazan786769 I really appreciate that. Our goal is exactly that—to help marketers prioritize what needs attention instead of simply presenting more metrics.
Love how clean the dashboard feels, especially the way risks are flagged visually before you even dive into the metrics.
@parkpiper66988 Thank you! We spent a lot of time making risk signals easy to understand before diving into detailed metrics. It's great to hear that approach resonated.