Day Trading Attention
Find underpriced attention before content supply catches up
- Difficulty
- Advanced
- Time to result
- ~ongoing to results
- Steps
- 6
- Confidence
- 96%
Day Trading Attention treats audience attention like a fast-moving market. The input is a live map of platforms, features, formats, ads, and influencers; the process is hands-on testing plus a supply-and-demand comparison; the output is a decision about where to invest creative effort or media money now. Early in a platform's rise, audience attention can be large while creator supply is small, so each post captures more reach. As the platform normalizes, content supply rises and attention fragments across competitors, making distribution harder. Vaynerchuk does not claim to predict the next winner on command. He stays curious, tries products, watches for a tipping point, keeps saying maybe instead of reflexively saying no, and then commits when the signal appears.
Origin
Vaynerchuk built the method through repeated early moves into email marketing, YouTube, Twitter, Tumblr, and TikTok. He describes reading every TechCrunch post in 2005, testing products himself, and learning to distinguish potential platforms from features that would fade.
Core principles
- 01Attention is finite while the supply of content keeps expanding.
- 02New platforms offer disproportionate reach before creators crowd in.
- 03Human psychology helps distinguish durable behavior from temporary novelty.
- 04Curiosity and repeated testing beat predicting the next platform in advance.
- 05Move decisively only after a platform reaches a meaningful tipping point.
How to run it
- 1
Map the attention market
Track where audiences spend time across platforms, features, creators, and ad products. Treat every format inside a platform as a separate instrument rather than assuming the platform is one market.
Pro tip Include organic posts, paid ads, and influencer deals in the same attention map.
- 2
Test promising products yourself
Download and use emerging apps instead of relying on headlines or peer opinion. Direct use reveals the behavior, audience, and content mechanics that commentary misses.
Pro tip Look at the app store routinely and spend time where early users already gather.
Watch out Dismissing a platform because its first users are younger or unfamiliar can hide the strongest signal.
- 3
Read the human behavior
Ask why people return and whether the product serves a durable interest. Vaynerchuk saw the interest graph as stronger than the social graph because interests change even when old connections remain.
Pro tip Separate a durable behavioral mechanism from a temporary feature or novelty spike.
- 4
Compare attention with supply
Estimate how much audience attention exists relative to how much content competes for it. The attractive window has meaningful attention and relatively few creators.
Pro tip A channel can worsen even while growing if content supply grows faster than audience time.
Watch out Follower totals can conceal declining attention per post.
- 5
Hold a hopeful maybe
Do not force an immediate yes or no. Keep testing and watching until adoption, retention, or cultural momentum shows a tipping point.
Pro tip Use maybe as permission to learn, not as an excuse to postpone forever.
- 6
Commit when the signal appears
Once the opportunity is clear, invest content, ads, or partnerships before the market normalizes. Continue monitoring because attention and supply move every day.
Pro tip Starting from zero on a new platform is often the price of accessing underpriced attention.
Watch out Protecting a large following on an older platform can make you miss the next distribution window.
In the wild
Vaynerchuk repeatedly urged people to move onto TikTok years before it became an obvious mainstream channel. Many creators resisted because they already had large Instagram followings and did not want to restart at zero. The early market had growing attention with less creator competition, which is exactly the imbalance the framework seeks.
→ Creators who moved early had access to disproportionate organic distribution before the platform became crowded.
When BeReal began attracting attention, Vaynerchuk watched it closely but concluded it looked more like a feature than a durable platform. He uses the example to show that the method is not simply betting yes on every new app; observation and behavioral judgment filter the field.
→ The opportunity stayed in the test-and-watch bucket rather than receiving an automatic all-in commitment.
Common mistakes
Waiting for consensus
By the time everyone agrees a platform matters, creator supply has usually risen and the attention is no longer as cheap.
Saying no before testing
A reflexive no replaces evidence with insecurity or familiarity. Keep a hopeful maybe long enough to observe real use.
Protecting yesterday's follower count
Refusing to restart on an emerging platform because an older account is large trades future reach for status on a maturing channel.
Is it for you?
Best for
Creators, brands, and entrepreneurs willing to test emerging channels before their peers feel comfortable there.
Not ideal for
Teams that cannot tolerate experiments, new workflows, or occasional platform bets that fail to mature.
From the transcript
“I put in the work I stay curious I watch and then there's always moments”
“I say maybe with a hope to yes in a world of people that say no”
“there's only so much attention but there's more and more supply of content so you have to know how to day trade it like a…”
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