Launched this week
SpotsNow
Track who's advertising across podcasts w/ campaign insights
1.2K followers
Track who's advertising across podcasts w/ campaign insights
1.2K followers
Track who's advertising on every podcast, what they're spending, and where their campaigns are running — then buy open inventory directly from publishers, all in one place. The competitive intelligence layer for podcast ads.
SpotsNow
Hey Product Hunt 👋 frontend engineer here.
We spent the last few months obsessing over one thing - making podcast ad data actually feel explorable instead of buried in spreadsheets. Most competitive intel tools in this space feel like they were built to justify the enterprise contract. Dense tables, ten-click flows, dropdowns inside dropdowns, ui that hasn't been touched since 2014. we went the opposite direction at SpotsNow with clean, simple and intuitive user-interfaces.
Audio ads are a different beast, you need to hear the ads, see saturation patterns, understand show context, all without it turning into a mess.
Type a brand, get something useful on the first interaction.
Listen to ads inline without breaking your flow.
Build a real campaign in under a minute with over 59k shows to choose from.
User experience matters here more than people think, when the tool is fast and clear, you spend your time on the actual decision (what to spend on, which show to pick) instead of fighting the interface.
Would love feedback on the search and campaign builder flows, those were the hardest to get right and if anything feels off drop it in the thread 🙏
What a neat tool, I'm already having a lot of fun spying on our competitors 😅
Station
@denitsapenchevavaltchanova that’s one of the best use cases already 😅
Glad you’re enjoying it!
SpotsNow
@denitsapenchevavaltchanova Haha that’s the idea 😅 Podcast ads have been way too hidden for too long.
Very interesting. Was there a moment from the last few months where a publisher or advertiser used SpotsNow in a way you didn't design for, but it ended up showing you what the product is actually becoming?
Hey, the audio pixel attribution part is the headline feature for me honestly. promo codes always undercount and brand-lift studies take weeks. quick question, are the pixels embedded at the publisher level or in the ad creative itself? assuming there's a tradeoff between accuracy and publisher buy-in there.
Podcast ad attribution has been a guessing game for buyers for years — host-reads vs dynamic insertion vs platform fragmentation makes clean signal really hard to pull. Curious how you handle the dynamic-vs-baked-in distinction in the data. (I built PolyMind to surface signal from prediction-market trades, and 'extracting clean signal from noisy streams' is a problem I keep running into across very different domains.)
wow really interesting! @abhishek_thory @campritchard @boudinet @aizuh - I guess the biggest question I would have (after a really short glance) is where / how you're getting the campaign costs for what the advertisers are paying the podcasts (as I presume this data isn't publicly reported anywhere... or is it?!!) and I guess - if so - is this self reported data?
I'd imagine I might fudge my campaign numbers if I was able to self report. Obviously a ton of value either way but these are the metrics I'd be most interested in - what my competitors are spending on the podcasts that live in my niche.
Killer launch and big congrats to the team!
Congrats on the launch!
are you planning to add performance benchmarks per show — like average conversion rates or CPM ranges — or is that data too hard to get reliably?