Why Website Traffic Is Almost Dead Today
Episode
24 min
Read time
2 min
Topics
Startups, Leadership, Marketing
AI-Generated Summary
Key Takeaways
- ✓Traffic collapse by content type: Informational content (how-to guides, definitional articles) is experiencing the steepest traffic declines — Digital Trends lost 97% of visits between March 2024 and January 2026. Transactional and navigational content remains viable because AI tools cannot complete purchases on behalf of users, meaning bottom-funnel pages still drive measurable revenue.
- ✓Revenue over traffic as the primary metric: Tracking website visitors as a success metric has been misleading for years. Even before AI disruption, LTV, profitability, and revenue were the metrics that mattered. If an AI agent completes a transaction on your behalf without a site visit occurring, the revenue outcome is identical — the visit itself carries no inherent value.
- ✓Topic authority still requires comprehensive coverage: Even when informational content generates zero direct traffic, publishing thorough topical coverage on your website remains necessary. AI systems and Google use it to establish authority and source citations. The strategy shifts from targeting high-volume informational keywords to building credibility that earns AI-generated referrals.
- ✓Intercom's creative destruction playbook: Intercom recovered from 4% growth to 37% growth at 400M ARR by redirecting 80% of R&D to Fin while it represented single-digit revenue, replacing the entire board with startup founders, launching a separate brand at fin.ai, and routing 100% of paid media to the new product — all before the new line proved itself financially.
- ✓AI team structure for agencies and service businesses: The emerging operational model pairs marketing strategists with AI automation engineers who build agent workflows using tools like Claude and open-source models. Running local models on hardware such as Mac Studio with 512GB unified RAM reduces API costs — one team's Anthropic spend reached several thousand dollars monthly before exploring on-premise alternatives.
What It Covers
Neil Patel and Eric Siu analyze the collapse of website traffic across major publications — Digital Trends down 97%, ZDNet down 90% — and examine how AI is forcing businesses to pursue creative destruction, using Intercom's pivot to Fin as a case study in rebuilding from near-zero growth to 400M ARR.
Key Questions Answered
- •Traffic collapse by content type: Informational content (how-to guides, definitional articles) is experiencing the steepest traffic declines — Digital Trends lost 97% of visits between March 2024 and January 2026. Transactional and navigational content remains viable because AI tools cannot complete purchases on behalf of users, meaning bottom-funnel pages still drive measurable revenue.
- •Revenue over traffic as the primary metric: Tracking website visitors as a success metric has been misleading for years. Even before AI disruption, LTV, profitability, and revenue were the metrics that mattered. If an AI agent completes a transaction on your behalf without a site visit occurring, the revenue outcome is identical — the visit itself carries no inherent value.
- •Topic authority still requires comprehensive coverage: Even when informational content generates zero direct traffic, publishing thorough topical coverage on your website remains necessary. AI systems and Google use it to establish authority and source citations. The strategy shifts from targeting high-volume informational keywords to building credibility that earns AI-generated referrals.
- •Intercom's creative destruction playbook: Intercom recovered from 4% growth to 37% growth at 400M ARR by redirecting 80% of R&D to Fin while it represented single-digit revenue, replacing the entire board with startup founders, launching a separate brand at fin.ai, and routing 100% of paid media to the new product — all before the new line proved itself financially.
- •AI team structure for agencies and service businesses: The emerging operational model pairs marketing strategists with AI automation engineers who build agent workflows using tools like Claude and open-source models. Running local models on hardware such as Mac Studio with 512GB unified RAM reduces API costs — one team's Anthropic spend reached several thousand dollars monthly before exploring on-premise alternatives.
Notable Moment
Intercom's CEO revealed that when Fin launched, the company simultaneously removed experienced board members in favor of startup founders — a counterintuitive move that prioritized speed and risk tolerance over stability at the exact moment the business appeared closest to collapse.
Episode Transcript
Using only 20% of your business data is like dating someone who only texts emojis. First of all, that's annoying. And second, you're missing a lot of context, but that's how most businesses operate today, using only 20% of their data. Unless you have HubSpot, where all the emails, call logs and chat messages turn into insights to grow your business because all that data makes all the difference. I would know because I use HubSpot at my company. Learn more at hubspot.com. So, Neil, let me show you this this table over here. You actually, you know, you you hit on one of the topics I have here. So check this out. So this guy over here, Danny Critchon Critchton? Critchton? Danny Critchton post this. So he says no discussion of tech media can get past this basic traffic fact. In the AI world, Google on social no longer refers traffic, which means that the vast majority of readers just never find you in the first place. Here's the analysis over here. Right? So you see digital trends, peak traffic, 8,500,000 in 2024, March 2024. January 2026, 264,000. Wow. 97% decline. Right? Remember z d net? 7,600,000 visits, per month, February 2024, 768,000 not minus 90%. Right? So, like, wired.com, 7,700,000.0, November 2024, drops to 2,900,000 negative 62%. Dude. So I think, by the way, like, what Neil said, he's not he's not wrong. Right? But I think it's just really interesting to look at these big publications from the past, how they some of them have adapted, but I don't think a lot of them have adapted. The bigger problem with publications is they're creating informational content. Informational content is the stuff that's getting hit the hardest. Mhmm. The content that's more transactional, navigational, that's the stuff where you can still get a ton of traffic and more importantly, revenue. Because if someone wants to talk about, let's say, with, CNET, they talk about computer related stuff or How To Geek. I I don't I've never been to How To Geek, but I'm assuming it's computer related stuff. If you go to CNET and you're reading an article on how to optimize the memory in your computer and make it more efficient, so it's your PC is more quicker. Because memory is a big issue in AI. Right? Not a lot of people are talking about that, but this is why companies like Dell are booming. And with that article, Google in AI overviews or AI mode or Gemini or ChatGPT or Perplexity or Cloud, they're They're just pulling in what to look for and how to fix it so that way you don't have to go to CNET. Reading that article on CNET produces them revenue, but it produces them revenue typically on the ad front. On the flip side, transactional keywords, navigational keywords, these are more bottom of funnel. They drive revenue. People still go to websites for it. Even if they don't go to your …
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“Running local models on hardware such as Mac Studio with 512GB unified RAM reduces API costs — one team's Anthropic spend reached several thousand dollars monthly before exploring on-premise alternatives.”
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