
Neil Patel and Eric Siu's Biggest Business Wins and Mistakes of 2026
Marketing School - Digital Marketing and Online Marketing TipsShow Notes
It's Q4, so Eric and Neil run through their business and marketing highlights and lowlights for the year. Eric's win was hiring AI-native people after learning he couldn't train everyone, and Neil's was the lowest churn in a long time. Neil explains bankruptcy clawbacks, where the lawyers always win, with FTX legal fees near $700M, and how tariffs and war cut client budgets. Eric's team now makes and manages bots, including one that shortlists recruits every day. On marketing, YouTube is bringing enterprise leads, Neil found out he did 12.7M views in 30 days, and Gavin Baker reports 80% of token spend has flipped to open-weight models. Eric covers outbound, wedges and Higgsfield's weekly launches, and Neil explains why he wants the chill life. A candid look back at the year.
Key takeaways
◾Hire adaptable, AI-native people instead of trying to train everyone
◾Let bots handle evaluation work like recruiting shortlists
◾Test lots of ideas cheaply, then back the ones with traction
Chapters
00:00 Q4 business highlights
00:44 Eric's lowlight: thinking he could train people
01:28 Neil's lowest churn in years
02:32 Bankruptcy clawbacks and legal drama
03:29 Lawyers always win: FTX's $700M in fees
04:43 Tariffs, war and budgets
06:20 Optimistic about 2027?
07:05 Payment plans for groceries
08:31 We make and manage bots
09:13 Recruiters who say they can't build it
10:00 Marketing highlights
10:47 Enterprise leads who found us on YouTube
11:32 Ad Age's performance marketing agency of the year
13:33 Neil's 12.7M views in 30 days
14:38 A slow speaking summer, two months at home
15:37 Neil only buys companies at a good deal
16:21 Best returns with the least stress
17:14 Outbound, wedges and 15-minute standups
18:39 Skillsdojo: pair engineers with marketers
19:43 Crank out 100 ideas, double down on winners
20:48 Gavin Baker: 80% of token spend flipped
21:46 Higgsfield ships a new feature every week
22:28 Neil does better in services than tech
23:42 Think like a capital allocator
25:08 Neil just wants the chill life
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Eric and Neil say the rule of 7 has grown toward the rule of 28, and that buyers touch a brand 8 times for a sub-$100 B2C buy and 23 times at $10K-plus. A gelato shop stranger who knew them from different places makes the case that you never know where people will find you. They cover why YouTube drives leads that nobody can attribute, then Meta's $14.9B deal for 49% of Scale AI and the 200-person AI team that Alexander Wang, the former Scale AI CEO, leads. Zuckerberg's line that talent density beats big teams for AI is tested against Meta's 70,000 staff. Neil explains his private equity mindset and his debt at SOFR plus 2%, and they close on the failures that come with big bets. Attention, talent and the cost of big bets.
Eric and Neil start with X Money, which pays 3% cash back and 6% interest, and argue that the offer is under marketed and would get more people investing. They test an AI-written blog post on a client, who took it for human writing, then cover a time-on-page chart that compares human and AI content. They debate whether writing is thinking and whether a real name still beats AI copy. Dan Shipper's claim that newsletters are dying, from a writer with over 120,000 subscribers, leads to a debate on email, AI summaries in the inbox and whether YouTube is S-tier. They close on every channel getting more competitive over time. Human voice still earns the trust.
Eric and Neil open with Tesla's Roadster flying car, which they treat as a marketing stunt that keeps Tesla in the conversation. The AI fluency gap follows, with Karpathy's funnel, where most people barely touch an LLM, and agents that still misfire. Next is X Money and the newsletter debate, then a blog post test that a client took for human writing. The back half covers the rule of 28, Meta's 200-person AI team inside a 70,000 staff company, and why YouTube leads are hard to attribute. The show ends on Accenture's $29 monthly AI cap, Ramp's AI spend index and Bending Spoons' cuts at Evernote. Attention, trust and spend with a reason.
Some agencies win clients by inviting decision makers to Formula One boxes, but Neil prefers the way banks play the wine and dining game. Bank of America sent his CFO to a World Cup game with the hotel paid, and Wells Fargo offers suites and seats after the deal is done, just to say thanks. Then a competing bank tried to match Wells Fargo's refinance offer at the last minute, after months of saying no. Eric shares a group text pitch dressed up as comparing notes, and Neil tells the worst pitch he's heard: a financial advisor chasing a friend's $25M house sale and eight-figure profit with one cherry-picked account and a stock that barely moves down. A blunt episode on relationships and selling.