Connect your Meta Ads account to Buzz and start chatting with your data. Build marketing reports, get accurate answers to your questions without hours of manual work.
Chat with your Meta Ads and ask anything about the campaigns
Connect your Meta Ads account to Buzz and start chatting with your data. Build marketing reports, get accurate answers to your questions without hours of manual work.
Hey 👋, we’re Ash, Brian & Scott, the team behind Buzz. -- Why did we build Buzz? -- We built Buzz because we saw Marketers manually exporting or copy-pasting bits of their Ad performance data & uploading them onto LLMs to ask questions. This often results in a subpar experience: 1. The LLM doesn't have the full context of your performance data or your account activity, giving you incomplete insights/recommendations. 2. Manual exports are time-consuming. 3. The issue of hallucinations and
Buzz is a game changer! Love the idea of just chatting with my ad data. Does it handle attribution modeling differences between Meta and 3rd-party platforms gracefully?
Chatting directly with Meta Ads data is a strong idea - this is exactly where reporting usually breaks down and eats time. Turning campaign analysis into a conversational workflow feels much more intuitive than jumping between dashboards and exports. I like the focus on accurate answers and report-building, not just surface-level insights. This could be especially valuable for marketers who need quick clarity before making budget or creative decisions. Nice execution on a very real pain point.
Congrats Ash, Brian & Scott! 🚀 As a solo founder who wears the 'marketer' hat reluctantly, I get a literal headache every time I open the Meta Ads Manager interface. It’s so cluttered. Being able to just ask 'Which creative had the best CTR last week?' instead of clicking through 5 tabs is a massive UX upgrade. I love that you tackled the 'context' issue. Copy-pasting CSVs into ChatGPT was indeed a broken workflow. Quick question: Any plans to add Google Ads support soon? I’d love to query b
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.