Marketing & Persuasion

Content Strategy: The Neuroscience of Why Some Content Gets Shared and Most Dies

In the spring of 2015, a twenty-year-old finance major at the University of Michigan named Alex Lieberman had a problem he hadn't been asked to solve. His fraternity brothers were supposed to be reading the Wall Street Journal every morning to prepare for investment banking interviews. Almost none of them were. The articles were dense, the tone was clinical, and the format assumed you already cared about business news before you'd had coffee. So Lieberman started writing a daily summary, attached it to an email as a PDF, and sent it to friends under the address marketcorner@umich.edu. Within two months, 250 people were reading it. By March 2015, he'd partnered with a sophomore named Austin Rief and renamed the newsletter Morning Brew. By October 2020, it had 2.5 million subscribers, and they sold it for $75 million.

None of the content was original reporting. Morning Brew never broke news. Everything they covered was already public. What they built was a strategy around how the brain actually processes information, and it worked because the brain doesn't reward the content that's most comprehensive. It rewards the content that's easiest to forage, most socially useful to share, and most neurologically satisfying to consume. Most content strategies fail because they're designed around what sounds impressive to the creator. The ones that work are designed around what the reader's brain is already filtering for.

The part of the Morning Brew story that matters more than the $75-million exit is how they got their first readers. Instead of building a landing page and running Facebook ads, Lieberman and Rief walked into business school lectures with a clipboard and passed around paper sign-up sheets. When they'd tried collecting emails through an online form, fewer than ten percent of people signed up. With a clipboard in a lecture hall, the conversion rate was seventy-five percent. By 2017, they'd crossed 100,000 subscribers. By February 2019, one million. By 2022, four million. The medium was a piece of paper. The strategy was showing up where the audience already sat and handing them something the brain wanted to open.

Your Brain Is a Forager, Not a Reader

In the late 1990s, two cognitive scientists at Xerox PARC set out to answer a question that the emerging internet had made urgent: how do people decide what information to consume?

Peter Pirolli and Stuart Card could have started with surveys. They could have asked people what they read and why. Instead, they did something more unusual. They started with biology. Specifically, they studied optimal foraging theory, a framework ecologists had developed to explain how animals decide what to eat. A hawk circling a field doesn't evaluate every rodent individually. It scans for movement, size, and proximity, cues that signal whether the caloric reward of a given prey item is worth the energy of pursuit. If the scent trail is weak, the hawk moves on. It maximizes calories gained per unit of energy spent.

Pirolli and Card proposed that humans navigate information environments the same way. They published their framework in 1999 under the name "information foraging theory," and the central concept was what they called "information scent." When you land on a webpage, open an email, or scroll a social feed, your brain isn't reading. It's sniffing. It's evaluating cues, headlines, thumbnails, first sentences, layout, even font weight, and making a rapid, largely unconscious calculation: is the likely value of this content worth the time cost of consuming it?

If the scent is strong, you stay. If the scent is weak, you move to the next patch. Just like the hawk.

This reframes what a content strategy actually is. Most companies treat it as an editorial calendar. A plan for what to publish and when. But the brain doesn't care about your calendar. It cares about scent. Every piece of content you produce is competing in an environment where your reader's brain is running an energy-efficiency calculation against every other option in the feed. The question isn't whether your content is good. The question is whether the first three seconds of encountering it send a strong enough signal that the foraging brain decides to stay instead of scroll.

The implications are uncomfortable. A brilliantly researched 3,000-word article with a vague headline will lose to a mediocre article with a headline that creates a specific information gap. Not because readers are lazy. Because the foraging brain is efficient. It evolved to conserve energy, and it will not invest attention without a signal that the investment will pay off.

Why Most Content Strategies Produce Expensive Silence

Here is a number that should stop every marketing team mid-meeting: according to an analysis of over 900 million blog posts by Backlinko, 94 percent of all published content earns zero external links. An Ahrefs study found that 96.55 percent of all web pages get no traffic from Google whatsoever. Only 2.2 percent of content generates links from more than one website.

Four million blog posts go live every single day. The vast majority enter the world, sit quietly on a server, and are seen by almost no one. Not because the internet is broken, but because the content was designed for the wrong system.

The default content strategy at most companies works like this: identify keywords, produce volume, publish on a schedule, hope for compound interest. It treats content as inventory. More posts, more chances. The editorial equivalent of designing for the average man, the same mistake the Air Force made when it built cockpits to fit a pilot who didn't exist. When you optimize for volume, you optimize for the median. And the median, in a feed where the brain is foraging for signal, is invisible.

The 94-percent failure rate isn't a distribution problem. It's a resonance problem. Most content doesn't earn links or traffic because it doesn't create a strong enough neurological response to make anyone remember it, reference it, or feel compelled to pass it along. It was produced to fill a slot on a calendar, not to serve a specific function in the reader's brain.

The companies that break through understand something the volume players don't: content serves the brain in specific, identifiable ways, and the ones that serve none of them die quietly regardless of how well they're optimized for search.

What Makes the Brain Want to Share?

In 1994, a Carnegie Mellon economist named George Loewenstein published a paper that changed how psychologists thought about curiosity. The paper, "The Psychology of Curiosity: A Review and Reinterpretation," appeared in Psychological Bulletin, and its central proposal was deceptively simple. Curiosity, Loewenstein argued, is not a personality trait or an intellectual preference. It's a drive state. It functions like hunger. When the brain detects a gap between what it knows and what it wants to know, that gap creates a feeling of deprivation, and the brain is motivated to close it. He called this the information gap theory.

The drive component matters. Hunger isn't optional. You don't choose to feel it. Similarly, curiosity, when properly triggered, creates a neurological itch that the brain wants to scratch. Two decades after Loewenstein's paper, neuroscientist Matthias Gruber and his colleagues at UC Davis put this theory inside an fMRI scanner. They showed participants trivia questions, asked them to rate their curiosity, and then measured brain activity during the anticipation period before the answer was revealed.

When curiosity was high, two regions lit up: the substantia nigra/ventral tegmental area and the nucleus accumbens. These are the core structures of the brain's dopamine reward circuit, the same system that activates when you anticipate food, money, or social approval. The brain was treating the anticipated information as a reward. And here's the finding that matters for content strategy: the dopamine surge was strongest during the gap, not after the answer arrived. Anticipation produced more neurological activity than resolution. The moment before you learn the answer is, chemically, more intense than the moment you learn it.

Gruber's team discovered something else. During high-curiosity states, participants also showed better memory for completely unrelated information, random photographs of faces, that happened to appear during the waiting period. Curiosity didn't just make them want the answer. It opened a neurological window where everything around the answer got encoded more deeply. The brain in a curiosity state is a better learning machine across the board.

This is the first function content can serve: opening a gap. Content that creates a specific, felt information gap activates the dopamine system, holds attention through the anticipation period, and encodes the surrounding information more deeply. A headline that tells you everything resolves the gap before the reader arrives. A headline that opens a precise gap and promises resolution inside is doing what Loewenstein described: creating a cognitive itch the brain will spend calories to scratch.

But curiosity only explains why someone starts reading. It doesn't explain why someone shares.

For that, you need the work of Jonah Berger. In 2012, Berger, a marketing professor at Wharton, and Katherine Milkman published a study in the Journal of Marketing Research that analyzed every article the New York Times published over a three-month period. They tracked which articles made the "most emailed" list and coded each one for emotional content, practical utility, and other characteristics.

The finding that got the most attention was about emotion. Articles that evoked high-arousal emotions, whether positive (awe, excitement) or negative (anger, anxiety), were significantly more likely to be shared. Articles that evoked low-arousal emotions like sadness were less likely. But the finding that matters most for content strategy was about practical value. Content perceived as useful was among the strongest predictors of sharing. The brain, it turns out, treats useful information as a social resource. Sharing something practical with your network isn't generosity in the way we usually think of it. It's closer to what Berger, in his book Contagious, calls social currency: passing along useful content makes the sharer look knowledgeable, connected, and worth paying attention to. The brain encodes this as a social reward, activating the same mesolimbic dopamine pathways involved in other forms of social approval.

A separate study by the New York Times Customer Insight Group in 2011 surveyed 2,500 active sharers and found five primary motivations, nearly all of which centered on relationships and identity. People shared to bring valuable content to others, to define themselves, to grow relationships, to feel involved in the world, and to support causes they cared about. Notice what's missing from that list: entertainment. People don't primarily share content because it's fun. They share it because sharing it does something for them socially.

The second function is social ammunition. Content that makes the sharer look smart, informed, or useful to their network triggers the social-reward circuit. Content that's merely interesting but doesn't enhance the sharer's identity stays consumed but unshared. The napkin version: people don't share what they like. They share what makes them look like the person they want to be.

Three Types of Content the Brain Actually Needs

If the research points anywhere, it points here: content that works serves a specific neurological function. Not a marketing function. A brain function. The three that the science supports most clearly map to three different systems in the reader's brain, and a content strategy built around all three will outperform one built around volume every time.

The first is gap content. This is content designed to open and then close a specific information gap. It works because of the curiosity-dopamine loop Loewenstein described and Gruber confirmed. The structure is a question the reader didn't know they had, followed by a surprising answer supported by evidence. Gap content earns attention. It's the type that makes someone stop scrolling, because the headline created a felt absence the brain wants to resolve. Morning Brew's entire model was gap content: what happened in business today that you should know about but don't yet? That daily gap, reset every morning, is what kept four million people opening the same email.

The second is utility content, designed to be practically useful in a way the reader can apply immediately. The brain flags actionable information as a social resource worth storing and worth sharing. The Berger and Milkman data showed that practical value was one of the strongest predictors of virality, independent of emotional arousal. Utility content doesn't need to be exciting. It needs to be specific enough that the reader can do something with it today. HubSpot built its entire early content strategy around utility. Between 2006 and 2011, the company published three to five detailed, research-backed blog posts per week, each one designed to teach a specific marketing skill. They weren't writing to entertain. They were writing to be useful enough that readers would bookmark the post, forward it to a colleague, or link to it from their own site. By 2008, the blog was the primary growth engine for a company that went from three customers to 317 in two years. The content was the product before the product was.

The third is identity content. It helps the reader articulate something they already believe but haven't been able to express. Sharing it performs an act of self-definition. The New York Times study found that one of the top motivations for sharing was "to give people a better sense of who I am." Identity content doesn't teach you something new. It validates something you already feel and gives you the language to signal it to your tribe. When a founder shares an article titled "Why I Stopped Chasing Venture Capital," they aren't sharing information. They're sharing a badge. The storytelling that drives this kind of content works because it gives the reader a story they want to be associated with.

Most content strategies produce one type almost exclusively. SEO-driven strategies default to utility content, thought-leadership programs gravitate toward identity content, and viral-chasing strategies fixate on gap content. The strategies that compound are the ones that deliberately rotate among all three, because each type activates a different circuit and reaches the reader in a different mode. A brain that's foraging for practical answers on Tuesday might be foraging for self-expression on Thursday. If your strategy only serves one mode, you're invisible the rest of the week.

How to Build a Strategy Around the Brain Instead of the Calendar

The difference between Morning Brew and the thousands of business newsletters that launched in the same window and died isn't talent, budget, or luck. It's that Morning Brew's strategy, whether the founders articulated it in neuroscience terms or not, was aligned with how the brain actually filters, consumes, and shares information. The content had strong information scent: a clear, conversational subject line that told the foraging brain exactly what reward waited inside. It created a daily curiosity gap: what happened in business while you slept? It provided practical value: enough context that you could hold your own in any meeting. And it offered identity reinforcement: reading Morning Brew meant you were the kind of person who stayed informed without being boring about it.

The neuromarketing research consistently shows that the brain doesn't separate content from context. The packaging is part of the experience. The subject line is part of the article. The visual layout is part of the argument. When you treat these as separate decisions, delegating the headline to one person, the design to another, and the content to a third, you fragment the very signal the foraging brain is trying to evaluate.

A differentiation strategy applies to content the same way it applies to products. When 94 percent of content is invisible, the winning move is not to publish more. It's to publish differently. To serve a neurological function your competitors' content doesn't serve. To create an information scent so specific that the foraging brain recognizes it immediately as worth the energy cost of stopping.

Here is the napkin version of everything the research says: your content strategy competes for the brain's limited energy budget, not for attention in the abstract. Win that budget, and you win everything downstream.

Try This: The Brain-First Content Audit

A protocol for restructuring your content strategy around the three neurological functions that drive engagement and sharing.

  1. Categorize your last twenty pieces of content. Pull up your most recent twenty published posts, emails, or social updates. For each one, ask: does this primarily open a curiosity gap, provide specific utility, or reinforce the reader's identity? Label each one G, U, or I. If a piece doesn't clearly fit any category, label it N for "none," which means the brain had no clear reason to engage with it. Count your distribution. Most strategies will be heavily skewed toward one type and nearly absent in the others. That imbalance is a map of the brains you're not reaching.

  2. Rewrite five headlines using the information gap. Pick five underperforming pieces and rewrite only the headline. The goal is to create a specific, felt gap: the reader should sense that they're missing something they want to know. "Content Marketing Tips for 2026" creates no gap. "Why 94% of Content Gets Zero Links (and What the Other 6% Does Differently)" creates a precise gap the brain wants to close. Test the rewritten headlines against the originals. Measure click-through or open rates. The content is the same. The information scent changed.

  3. Add a "share trigger" to every utility post. For each piece of utility content, ask: if someone shared this, what would it say about them? If there's no clear social payoff for the sharer, the content will be consumed but not distributed. Add a framing element, a statistic, a counterintuitive finding, a one-sentence insight that makes the sharer look informed. Berger's research showed that practical value and social currency work together. Useful content that also makes the sharer look smart gets shared at significantly higher rates than useful content alone.

  4. Build one "identity piece" per month. This is a post that doesn't teach or surprise. It articulates a point of view your audience already holds but struggles to express. Interview your best customers. Find the belief they all share about their industry, their work, or their approach. Write it as a declaration, not an argument. Then watch what happens when they share it. Identity content doesn't drive traffic from search. It drives distribution from people who want to be associated with the idea.

  5. Apply the three-second scent test to everything you publish. Before anything goes live, show the headline, thumbnail, and first sentence to someone outside your team. After three seconds, take it away. Ask them: what was it about, and would you click? If they can't answer both questions, the information scent is too weak for the foraging brain to invest in. Redesign the signal, not the content.


A twenty-year-old college student passed around clipboards in lecture halls and built a $75-million company by writing the same business news everyone else covered, just in a container the brain actually wanted to open. Ninety-four percent of all published content earns zero links, not because the internet is oversaturated, but because most of that content serves no identifiable function in the reader's brain. The neuroscience is clear: the brain forages for information the same way an animal forages for food, spending energy only when the scent signals a worthwhile reward. Curiosity opens the door. Utility earns the bookmark. Identity earns the share. A content strategy that doesn't deliberately serve all three is leaving most of the brain's reward system untouched.

Chapter 5 of Ideas That Spread covers why some content spreads and most dies, including the neuroscience of information scent, the three sharing triggers that activate the brain's social-reward circuit, and how to engineer content that the foraging brain selects instead of scrolls past. If your content calendar is full and your metrics are flat, publishing more won't save you. You're feeding a brain that's already decided you're not worth the calories.


FAQ

What is a content strategy?

A content strategy is a plan for creating, publishing, and distributing content that serves specific goals, but the neuroscience reframes what "specific goals" should mean. Research by Pirolli and Card (1999) on information foraging theory shows that the brain navigates content the same way animals forage for food, evaluating "information scent" cues like headlines, thumbnails, and first sentences to decide whether the caloric cost of attention is worth the likely reward. An effective content strategy designs every piece of content around the neurological functions that drive engagement: opening curiosity gaps, providing practical utility, or reinforcing the reader's identity.

Why do most content strategies fail?

Most content strategies fail because they optimize for volume rather than neurological resonance. Backlinko's analysis of over 900 million blog posts found that 94 percent of all published content earns zero external links. An Ahrefs study found that 96.55 percent of web pages receive no Google traffic. The core problem is that most content serves no clear function in the reader's brain. It doesn't open an information gap (Loewenstein, 1994), provide actionable utility (Berger & Milkman, 2012), or offer identity reinforcement. Content that serves none of these functions gets filtered by the brain's foraging system regardless of SEO optimization or publishing frequency.

What makes content shareable according to neuroscience?

Berger and Milkman's 2012 study of New York Times articles found that high-arousal emotions (awe, anger, anxiety) and practical value were the strongest predictors of sharing. The brain treats useful information as social currency: sharing it activates the mesolimbic dopamine pathway, the same reward circuit involved in other forms of social approval. The New York Times Customer Insight Group's 2011 study of 2,500 sharers found five motivations, nearly all centered on identity and relationships. People share content that makes them look knowledgeable, connected, or aligned with causes they care about.

How does the curiosity gap work in content marketing?

George Loewenstein's 1994 information gap theory describes curiosity as a drive state, like hunger, triggered when the brain detects a gap between what it knows and what it wants to know. Gruber et al. (2014) confirmed this with fMRI: when curiosity is high, the substantia nigra/ventral tegmental area and nucleus accumbens (dopamine reward circuits) activate strongly during the anticipation period before the answer is revealed. In content marketing, this means headlines and opening lines that create a specific, felt information gap will generate more neurological engagement than those that summarize the content upfront. The dopamine surge is strongest during the gap, not after resolution.

What are the three types of content that drive engagement?

The neuroscience supports three content types that serve distinct brain functions. Gap content opens and closes a curiosity gap, activating the dopamine reward circuit (Gruber et al., 2014). Utility content provides specific, actionable information the brain flags as a social resource worth sharing (Berger & Milkman, 2012). Identity content helps readers articulate beliefs they already hold, enabling self-definition through sharing (NYT Customer Insight Group, 2011). Strategies that deliberately rotate among all three types outperform single-type strategies because each activates different neurological systems and reaches the reader in different modes.

Works Cited

  • Pirolli, P. & Card, S. (1999). "Information Foraging." Psychological Review, 106(4), 643-675.

  • Loewenstein, G. (1994). "The Psychology of Curiosity: A Review and Reinterpretation." Psychological Bulletin, 116(1), 75-98.

  • Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). "States of Curiosity Modulate Hippocampus-Dependent Learning via the Dopaminergic Circuit." Neuron, 84(2), 486-496.

  • Berger, J. & Milkman, K. L. (2012). "What Makes Online Content Viral?" Journal of Marketing Research, 49(2), 192-205.

  • The New York Times Customer Insight Group. (2011). "The Psychology of Sharing: Why Do People Share Online?"

  • Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T., & Camerer, C. F. (2009). "The Wick in the Candle of Learning: Epistemic Curiosity Activates Reward Circuitry and Enhances Memory." Psychological Science, 20(8), 963-973.

  • Berger, J. (2013). Contagious: Why Things Catch On. New York: Simon & Schuster.


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