Launching today
SpotsNow
Track who's advertising across podcasts w/ campaign insights
208 followers
Track who's advertising across podcasts w/ campaign insights
208 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.
Hey Product Hunt 👋 Cam here, founder of SpotsNow.
Here's a thing that's always bothered me about podcast advertising: it's one of the only major ad channels where you can't easily answer the basic competitive questions. Who's advertising on my favorite show? What's BetterHelp actually spending on podcasts this quarter? Which new brands just started testing the channel? Which shows are over-indexed on CPG vs. fintech vs. DTC?
The data exists. But it's been locked behind enterprise contracts, the UIs feel like 2014, and there's no way to act on what you learn without leaving the tool and writing a bunch of emails.
SpotsNow is the version I wanted: Free access to podcast ad spend data across 60,000 shows, with a modern interface that doesn't make you fight it, and (the part I'm genuinely most excited about) a built-in marketplace of open inventory so the second you spot a show that fits your campaign, you can actually request a spot from the publisher right there.
A few things we'd love help with today:
1. If you research podcast ads: spotsnow.io is open. Pull up your favorite advertiser or your own brand. Tell us what you wish were there.
2. If you've built Competitor Intelligence tools: I'd love your read on our category taxonomy and confidence scoring - that's where we're investing next.
3. If you run a podcast or network: there's a free way to list open inventory and reach the buyers who are already researching shows like yours.
Huge thanks to the early users who stress-tested this when the dataset was a tenth of its current size. Today it goes wide. Roasts, questions, feature requests, all welcome. 🙏
@campritchard this is useful angle for podcast ads. The hard part is not only seeing who is advertising where but understanding whether a show is actually a good fit before reaching out. I like that you connect the research side with open inventory. How do you currently estimate fit or confidence for a brand/category match across different podcast shows?
Congrats on launching, Cam! Not coming at this as someone who's built competitive-intel tools, more as the "researches podcast ads / pull up your brand" person you mentioned. I'm getting an iOS app ready to launch and came at this as a would-be buyer: pulling up specific brands and shows works very well. And I'm excited to try the marketplace features too.
One observation that might be relevant to the taxonomy work you said you're investing in: my instinct as a buyer was to navigate by theme — "relationships," "dating," "wellness" — to find shows that fit my app. That's not how the tool thinks (it's organized around industry tags / specific advertisers, which makes sense once it clicks).
Station
@ferdi_sigona Hey Ferdi,
we have the audience interest based campaign generation as well as their discovery for the discounted spots, you can either auto generate the campaign for you brand based on your website and demographics + audience interest on https://spotsnow.io
or you can discover the discounted spots in here https://spotsnow.io/browse
Also from my side, congrats on the launch, Cam! I agree, the marketplace angle is what makes this genuinely different
Quick question: how do you handle attribution for shows that don't use promo codes? Curious if you rely on self-reported data from brands or if there's some crawling/inference magic happening under the hood.
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 🙏
Future AGI
A very interestig idea, congratulations on the launch!
SpotsNow
@vel_alagan thank you so much for the support!
1Page
Nice idea.