The Most Ridiculous Commercial I Ever Saw
When I was a kid, television advertising was the Wild West. Nobody seemed to check whether a product did what the commercial said it did. Invented functions and fabricated results were so common that nobody even blinked.
One ad has stuck with me for decades. A company was selling “small-molecule water.” The pitch went something like this: ordinary tap water is made of large molecules that can’t penetrate human cells effectively, so your body never really absorbs it. Their specially processed water, on the other hand, had small molecules that slipped right into your cells for superior hydration.
Anyone who sat through a single high school chemistry class knows how absurd that is. Every water molecule on Earth is the same thing: two hydrogen atoms bonded to one oxygen atom. There is no “large” H₂O and “small” H₂O. The loose clusters that water molecules form through hydrogen bonding break apart and re-form trillions of times per second, and our cells already have dedicated protein channels, aquaporins, that let water through just fine. The product wasn’t a breakthrough. It was bottled water with a story.
And yet the company flourished.
Looking back, that ad taught me something important: what people buy is rarely decided by whether a claim is true. It’s decided by how the message reaches their brain.
Marketing regulation has tightened a lot since then, and you’d be hard-pressed to air a commercial like that today. But here’s what hasn’t changed nearly as much: the way we teach selling. Walk into most sales trainings, pick up most sales books, or scroll through the endless LinkedIn threads on “closing techniques,” and you’ll find the same raw material the small-molecule-water people used: personal opinions, anecdotal stories, and “expert advice” that nobody has ever tested.
It shows. A study published in the Harvard Business Review analyzed the behavior of 800 salespeople on real sales calls and found that only 37 percent were consistently effective. Worse, some of the behaviors of the other 63 percent actively drove down their performance. They weren’t just failing to help the sale; they were killing it. Surveys of thousands of companies show that somewhere between 38 and 49 percent of salespeople miss quota every year. And research from ES Research Group and CEB estimates that 85 to 90 percent of sales training has no lasting positive impact at all.
Think about that. Companies spend enormous sums teaching people to sell, and nearly all of it evaporates.
That’s the problem David Hoffeld takes on in The Science of Selling: Proven Strategies to Make Your Pitch, Influence Decisions, and Close the Deal. His argument is simple and, for someone like me who has spent his career in research labs, deeply satisfying: stop basing sales on what salespeople do and start basing it on how buyers’ brains actually decide.
When he polled a webinar audience of salespeople from leading companies about what their sales behaviors were based on, 45 percent said trial and error, 45 percent said recommendations from experts, and the rest said wishful thinking or “unsure.” The number who said “scientific findings on how the brain makes buying decisions”? Zero.
As a scientist, that number made me wince. As someone who now sells an RNA-seq workshop to researchers around the world, it made me look hard in the mirror. Below is what I took from the science, and how I’m applying it to my own small education business.
The Two Routes to “Yes”: Peripheral vs. Central Persuasion
Every attempt to influence someone, whether it’s a TV commercial, a job interview, or a sales call, travels along two roads at the same time.
In the 1980s, psychologists Richard Petty and John Cacioppo mapped these roads in what became known as the Elaboration Likelihood Model. They called them the peripheral route and the central route. Once I understood the difference, I started seeing both of them everywhere, including in my own workshop landing page.
The Peripheral Route: Mental Shortcuts That Work Fast (and Fade Fast)
The peripheral route is everything outside the actual message: how likable you are, how confident you seem, how many other people are buying, whether a celebrity is holding the product. The brain processes these cues through heuristics, the mental rules of thumb it uses to make quick decisions without burning energy on deep analysis.
Heuristics aren’t rational, but they are predictable. A few of the most useful ones for anyone selling anything:
Single-option aversion. In one experiment by behavioral scientist Daniel Mochon, only 10 percent of shoppers bought a DVD player when it was shown alone. When a second, competing model was placed next to it, 66 percent bought one of the two. With nothing to compare against, the brain can’t judge value, so it stalls.
The decoy effect. When Dan Ariely offered MIT students two Economist subscriptions (online-only for $59, or print-plus-online for $125), 68 percent chose the combo. When he added a useless third option, print-only for $125, the share choosing print-plus-online jumped to 84 percent. Nobody chose the decoy. It existed only to make the combo look like a steal.
Likability. It’s nearly impossible not to like someone who genuinely likes you. The most reliable way to be likable isn’t charm; it’s finding something you sincerely admire about the other person and letting them know.
Social proof. Faced with two unfamiliar restaurants, one packed and one empty, you pick the packed one without thinking. When many people like us are doing something, the brain reads it as “safe.”
The advantage of the peripheral route is speed and reach. It works on people who aren’t paying close attention, which is most people most of the time. That’s exactly why celebrity endorsements and influencer campaigns exist.
The weakness? It doesn’t last. Decisions made mainly through peripheral cues are fragile. The moment a competitor shows up with a better smile, a bigger discount, or a more famous spokesperson, the buyer’s commitment crumbles, because they never really understood why they bought in the first place.
The Central Route: When People Actually Think
The central route is the message itself: the problem, the evidence, the reasoning, the “here’s why this matters to you.” When a buyer thinks through your argument and agrees with it, the decision becomes theirs. They can explain it to their boss. They can defend it against a competitor. They stay loyal.
The classic demonstration comes from a 1983 study by Petty, Cacioppo, and David Schumann on ads for a disposable razor. They varied two things: whether the ad featured celebrities or ordinary people, and whether it contained strong or weak arguments. When participants had little personal stake in the product, the celebrities swayed them and the quality of the arguments barely mattered. When participants were highly involved (they believed they’d soon be choosing a razor for themselves), the celebrities stopped mattering, and only the strength of the arguments changed their minds.
That’s the whole game in one experiment. Low stakes: people ride the peripheral route. High stakes: people demand the central route.
A Real-World Case Study: MasterClass
The online education company MasterClass is one of the best illustrations I’ve seen of both routes, and of what happens when you lean too hard on one.
MasterClass launched in 2015 with a brilliant peripheral-route hook: learn writing from James Patterson, tennis from Serena Williams, acting from Dustin Hoffman. The founders sold the fantasy of sitting on a couch with a legend while they “share everything they know.” It worked spectacularly. By May 2021, the company was valued at $2.8 billion.
But celebrity glow is a peripheral cue, and peripheral cues fade. Critics started pointing out that many classes were closer to entertainment than education. One oft-cited complaint was that Serena Williams’ tennis course was “just technical enough to be useless to a novice.” Consumer churn reportedly ran as high as 52 percent. Between 2022 and 2023, the company cut its staff from over 600 to around 300 and leaned into “MasterClass at Work,” selling to corporate clients who need concrete, job-relevant outcomes, which is to say, a central-route argument.
I don’t think MasterClass failed; it’s still a successful company. But its arc shows exactly what the science predicts. The peripheral route gets people in the door. Only the central route keeps them there.
Using Both Routes Together
The lesson isn’t to pick one route. It’s to use the peripheral route to carry a strong central-route message.
When I look at my own RNA-seq workshop page with this lens, I can see both roads at work. The testimonials from past participants, the “2026 cohorts sold out” notice, and my credentials (more than ten years in bioinformatics, over 40 publications, training delivered to individual researchers, whole labs, and entire departments) are peripheral cues. They lower the perceived risk. But the session-by-session syllabus, from Linux basics and STAR alignment through DESeq2, pathway analysis, batch correction, and a SLURM-ready pipeline, is the central route. It’s the argument a skeptical scientist will actually read before spending money.
A likable instructor with a vague syllabus gets you curious visitors. A detailed syllabus with no trust signals gets you readers who never convert. You need both wings to fly.
That raises the obvious next question: if the central route is the “message,” what exactly should the message say?
Why People Buy From You: The Six Whys Behind Every Purchase
The most useful idea I took away from this whole framework is that buying decisions aren’t made at the end of a sales conversation. They’re built during it, one small agreement at a time.
It all boils down to a simple equation:
Buying Decision = f (Six Whys, Emotional State)
In plain English: if a qualified buyer (someone with the money and authority to buy) agrees with you on six specific questions and is in a positive emotional state, the sale happens. If even one of the six is left unanswered, it shows up later as an objection.
What I love about this is that it turns sales into diagnostics. Every lost deal becomes data: which Why did I fail to answer?
Let me walk through each one using the business I know best: my live RNA-seq Analysis for Absolute Beginners workshop on NGS101.com.
Why #1: Why Change?
Your biggest competitor isn’t another company. It’s doing nothing.
Psychologists call it status quo bias: the powerful pull to keep things as they are. Richard Thaler compared it to physics: an object at rest stays at rest unless something pushes it. Most sales are lost not to a rival but to “we’ll keep doing what we’re doing.”
For my workshop, the status quo looks like this: a researcher has an RNA-seq dataset sitting on a server. They’re waiting for a busy bioinformatician to get to it, or paying a core facility, or trying to follow scattered tutorials, or, like I once did, being told to master Bash, Python, C++, data structures, statistics, and linear algebra before they’re allowed to touch their own data.
I know that status quo intimately. As a PhD student, I was a wet-lab biologist studying sex determination in turtles. When our lab got RNA-seq data (cutting-edge at the time), nobody in the department knew how to analyze it, and my PI handed it to me. The computer scientists I asked for help told me to learn everything first. I followed that advice for years, and looking back, about 95 percent of what I ground through turned out to be irrelevant to the analysis I actually needed. I finished my first RNA-seq project using purchased software.
To answer “Why change?” I have to help a prospective learner see three things:
- Find the problem. Not just “I can’t analyze my data,” but the specific blockers: the Linux terminal, the tool installations that feel like black magic, no access to compute resources, the maze of different files, and tutorials with no “start here” arrow.
- Understand the cause and scope. Is this blocking one paper? A dissertation chapter? A grant renewal? A career move into industry?
- Feel the pain. Problems that don’t hurt don’t get solved. Everyone has problems they’ve tolerated for years.
On that last point, think of a husband driving his wife to the hospital to deliver their baby. If she’s in active labor, he’s running red lights. If it’s a scheduled induction, he stops at every one. Same destination, completely different urgency. Pain sets the speed.
Why #2: Why Now?
Even people who agree they need to change will happily put it off. And in sales, time is poison: priorities shift, budgets move, the moment passes.
But the harder you push, the more you trigger reactance, the instinct to resist anyone who seems to be limiting our freedom to choose. It’s why a “WET PAINT, DO NOT TOUCH” sign makes you want to touch the wall.
The antidote is surprisingly simple. In a study by Nicolas Guéguen and Alexandre Pascual, people asking strangers for money got several times more yeses when they ended the request with a phrase reminding the person they were “free to accept or to refuse.”
For my workshop, the honest “why now” is real: NGS data has become universal across the life sciences, the hybrid wet-lab-plus-computational profile is increasingly valued in industry, and every month a dataset sits unanalyzed is a month a paper isn’t moving. The cohorts also genuinely fill up; all three 2026 cohorts sold out. I can say all of that and then add, sincerely, “Of course, it’s completely your call.” Urgency plus autonomy.
Why #3: Why Your Industry Solution?
This one is the silent assassin. Before a buyer compares you to your competitors, they compare your entire category to the do-it-yourself option.
For a live, instructor-led workshop, the alternatives are everywhere: free YouTube videos, written tutorials (including my own free ones on NGS101, which is a funny position to be in), ChatGPT, textbooks, asking a friend, hiring a core facility, or buying point-and-click software.
So I have to answer honestly: what does a structured, live workshop deliver that those alternatives can’t? The data here is striking. When researchers Justin Reich and José Ruipérez-Valiente analyzed six years of MIT and Harvard courses on edX, covering 5.6 million learners, they found completion rates among all participants were around 3 percent in 2017–18. Free, self-paced content is wonderful for curious browsing. It’s terrible at getting a beginner from zero to a finished analysis.
The honest answer for my category is a guided path, a pre-configured cloud environment where nothing needs installing, and a person who can see where you’re stuck.
Why #4: Why You and Your Company?
Economist George Akerlof won a Nobel Prize partly for describing information asymmetry: sellers know what they’re selling, buyers don’t find out until after they’ve paid. That gap creates risk, and the only thing that shrinks it is trust.
Two of the most reliable trust builders are demonstrated expertise and visible confidence. Expertise can be shown through genuine insights (“Here’s why your batch effect is probably confounded with your treatment groups”) and through credibility statements rooted in real experience.
My credibility statement writes itself because it’s true: I was the wet-lab biologist who got handed data he couldn’t analyze. I spent years in the dark. And years later, when I asked a colleague for the analysis parameters behind a result, the answer was a refusal and a suggestion that I figure it out myself. That experience of gatekeeping is the reason NGS101 exists, and it’s why everything I teach is transparent and runnable. A learner who hears that doesn’t just see a credentialed instructor. They see someone who has sat exactly where they’re sitting.
Why #5: Why Your Product or Service?
Michael Porter argued that companies compete on one of two advantages: cost leadership or differentiation. There can only be one cheapest option in a market, and the moment you claim that crown, someone undercuts you. For most of us, the only sustainable path is differentiation.
The trap is that everybody claims to be different in the same words. “High quality.” “Great support.” “Customer-focused.” When everyone sounds identical, price becomes the only tiebreaker.
The fix is what I’d call distinct value, which has to pass two tests: it must matter to this particular buyer, and competitors can’t match it. The second test taps into scarcity, because the brain assigns more value to what’s rare.
For my workshop, the distinct value depends on who I’m talking to. For the researcher with an unusual organism, it’s that the private one-on-one session works with any organism and any experimental design, whether two-group, multi-factor, paired, time-course, or batch-confounded, on their own counts table. For the postdoc without cluster access, it’s the pre-configured cloud environment. For the person worried about forgetting everything a month later, it’s the take-home scripts and pipelines plus lifetime access to recordings.
Why #6: Why Spend the Money?
Every purchase is also a decision not to buy something else. For a grad student, my workshop competes with a conference trip. For a lab, it competes with reagents and sequencing runs.
What tips this last Why are dominant buying motives, which come in two flavors: desire for gain and fear of loss. And loss is the stronger of the two; research on loss aversion suggests losses loom roughly twice as large as equivalent gains. One telecom company reduced cancellations simply by reframing a retention offer: instead of “we’ll give you 100 free calls if you stay,” representatives said “we’ve already credited you 100 calls, and you’ll lose them if you cancel.”
There’s a catch, though. Fear without a way out makes people freeze or tune you out entirely. Research by psychologist Howard Leventhal found fear-based messages only work when people are shown how to escape the threat. So if I help a researcher picture six more months of dependency on someone else’s schedule, I owe them a clear path forward in the same breath.
When all six Whys are answered, something interesting happens. Objections don’t need to be “overcome,” because they never form. But the equation had a second variable, and it’s the one most of us underestimate.
Selling to Emotions: Nobody Needs Your Product
Here’s an uncomfortable truth for anyone who sells a technical product: no one needs what you sell. They need what it makes them feel.
This isn’t a motivational-poster claim. It comes from neuroscience. Antonio Damasio studied patients whose brain injuries left their reasoning intact but cut them off from their emotions. You’d think pure logic would make them brilliant decision-makers. Instead, they were paralyzed. In one famous encounter, a patient spent nearly half an hour weighing two possible appointment dates, listing every conceivable pro and con, and couldn’t choose until the researchers picked one for him.
Emotions are how the brain assigns value. Without them, every option looks the same, and no decision feels “right.”
Why People Happily Pay the Apple Tax
Nothing illustrates this better than Apple.
By most spec-sheet comparisons, you can buy an Android phone with similar cameras, similar processors, and more storage for less money. Rationally, the “Apple tax” makes little sense. Yet in 2022, Counterpoint Research estimated that Apple shipped only about 18 percent of the world’s smartphones but captured roughly 48 percent of global smartphone revenue and 85 percent of the industry’s operating profit. Among American teenagers, Piper Sandler’s fall 2025 survey found 87 percent own an iPhone.
What are people paying for? Not megapixels.
They’re paying for the feeling of an object that seems thoughtfully made. For the confidence that it will “just work.” For belonging. Teenagers have described being teased or left out of group chats for being the green bubble in a sea of blue; even after Apple added RCS messaging support in 2024, the bubbles stayed green, and the social signal stayed intact. They’re paying for status, identity, and the absence of friction. The product is the vehicle; the emotion is the purchase.
What My Workshop Is Really Selling
When I apply this lens to NGS101, it’s humbling. Nobody wakes up wanting to learn limma-voom. What a struggling researcher wants is to stop feeling helpless. To stop waiting in someone else’s queue. To walk into lab meeting and explain their own results with confidence. To never again ask for parameters and get told to “figure it out yourself.”
One participant wrote that my explanations offered something that “was lacking when I had tried asking other bioinformaticians for help in the past.” Read that carefully. The value named there wasn’t a pipeline. It was the relief of finally being understood.
Emotional States Color Everything
The science goes further than “emotions matter.” A buyer’s emotional state at a given moment acts like a filter on everything you say. Cornell psychologist Alice Isen described positive emotions as rose-colored glasses; people in a good mood process information more openly and see more value. People in a negative state see everything through a cynical lens, and, crucially, they don’t realize it. They blame the product, the price, or the salesperson.
The good news is that emotional states can change. A few evidence-backed ways to shift them:
- Emotional contagion. Emotions spread. Elaine Hatfield’s research shows people “catch” the feelings of those around them, and the most expressive person in a room tends to set the tone. For a live Zoom workshop at 8 p.m. after a long day in the lab, instructor energy isn’t a nice-to-have. It’s the whole atmosphere.
- Convey strong beliefs, with “because.” Ellen Langer’s famous photocopier study found that adding a reason (“May I use the Xerox machine, because I have to make copies?”) raised compliance from 60 to 93 percent, even though the reason was meaningless. A genuine belief with a real reason is even stronger: “I teach Linux from zero because that’s the exact wall I hit, and nobody helped me over it.”
- Name the emotion gently. Calling attention to a negative state (“You seem frustrated with this error. That’s completely normal at this stage.”) often loosens its grip. People are rarely aware of their mood until someone points it out.
- Change the topic, change the body. Talking about something the person genuinely enjoys, or simply getting them to lean forward, stand up, or smile, can interrupt a negative spiral.
A beginner staring at their first command not found error is not in a buying mood, or a learning mood. Managing that emotional state is half of good teaching, and, it turns out, half of good selling.
But you can’t manage what you don’t understand. And the fastest way to understand someone is to ask the right questions at the right depth.
The Three Levels of Sales Questions That Uncover What Buyers Really Want
Questions do something almost unfair to the brain. Read this: What color is your front door?
You just pictured it. You didn’t choose to. The question hijacked your attention, and because the brain can only deliberate on one idea at a time, for that moment you couldn’t think about anything else.
Questions even change behavior. In a study of more than 40,000 people, researchers Vicki Morwitz, Eric Johnson, and David Schmittlein found that simply asking whether someone planned to buy a car in the next six months increased their purchase rate by 35 percent.
The trouble is how most salespeople are taught to ask. They memorize taxonomies: open-ended, closed, situation, implication, need-payoff, probing, amplification, and on and on. Trying to decide which category to deploy next while also listening to the answer is like trying to play tennis with five balls. You’ll miss what matters.
A better model comes from social penetration theory, developed by psychologists Irwin Altman and Dalmas Taylor in 1973. People reveal themselves in layers, like an onion. So instead of types, think in levels.
Level 1: Facts and Situations
First-level questions open a topic. What’s your budget? How many samples do you have? Who’s involved in the decision? They’re necessary, but they only scratch the surface, and most salespeople never go deeper.
Level 2: Assessments and Explanations
Second-level questions ask people to evaluate or explain their Level 1 answers. Why did you choose that approach? What would you change about it? These are the questions top performers ask most. And people genuinely enjoy answering them: a Harvard fMRI study by Diana Tamir and Jason Mitchell found that sharing our own opinions activates the brain’s reward regions, the same areas associated with food and money.
Level 3: Emotions and Motives
Third-level questions surface the dominant buying motives: what the person hopes to gain or fears losing. If this problem isn’t solved, what does that mean for you personally? This is where sales conversations stop being transactional. It’s also where trust deepens, because people feel understood.
A Real-World Example: The Milkshake Mystery
My favorite real-world illustration of going deeper comes from Harvard’s Clayton Christensen and his colleagues, who were hired by a fast-food chain to sell more milkshakes.
The chain had already done Level 1 research: asked customers about flavors, thickness, price. Nothing moved sales. So Christensen’s team went further. They watched and noticed nearly half the milkshakes were sold before 8 a.m., to people who came in alone, bought nothing else, and drove off.
Then they asked a different kind of question, roughly: What job were you trying to get done when you came in and “hired” that milkshake? And when people struggled, they followed up: The last time you needed to do this job but didn’t buy a milkshake, what did you use instead?
The answers were revealing. These commuters faced a long, boring drive. They wanted something to keep them occupied, one hand free, that wouldn’t make a mess and would keep them full until lunch. A thick milkshake sipped through a thin straw lasted most of the commute. Bananas were gone in a minute. Donuts left crumbs everywhere. The real competitor wasn’t another milkshake. It was boredom.
No amount of Level 1 flavor surveys would ever have surfaced that. It took questions aimed at the why behind the why.
The Questions I Should Be Asking About My Workshop
Here’s how I’d layer questions for a researcher considering my workshop:
Level 1 (facts):
- What kind of sequencing data do you have, and what organism is it from?
- Have you ever used a Linux terminal or R before?
- Do you have access to a computing cluster?
Level 2 (assessment):
- What have you tried so far, and where did you get stuck?
- Why hasn’t the dataset been analyzed yet?
- When you’ve asked bioinformaticians for help in the past, how did that go?
Level 3 (motives):
- If this dataset is still sitting there six months from now, what does that mean for your paper, your defense, or your next grant?
- If you could run this analysis yourself from start to finish, what would that change for you?
- How important is it to you to be able to explain your own results, rather than relying on someone else’s?
Level 1 tells me whether the workshop fits. Level 3 tells me whether it matters. And both are exactly what I need for the next piece of the puzzle.
The Three Primary Buying Motivators (Illustrated With Online Courses)
Most salespeople already know they should “listen more.” The real problem is they don’t know what to listen for.
Remember the famous invisible gorilla experiment? Daniel Simons and Christopher Chabris asked people to count basketball passes in a video. Around half never noticed a person in a gorilla suit strolling through the middle of the game and thumping their chest. When you’re focused on the wrong thing, you miss what’s right in front of you.
In sales, what you should be focused on are three primary buying motivators: the conditions that must be true for someone to want, and be able, to buy. Here’s how they play out for an online course or live workshop.
Motivator 1: The Buyer’s Problems
People buy solutions to problems they care about. For an online learner, the stated problem (“I want to learn data analysis”) is usually a symptom. The real problems are more specific: I can’t get the tools to install. My laptop can’t handle the data. I don’t know which of ten tutorials to trust. I’ve started three free courses and finished none.
If a prospect isn’t aware of their problem yet, a useful opener is to share what similar people struggle with and ask whether it resonates: “Most beginners I talk to get stuck at the same two places: the Linux command line and installing tools. Which of those has been harder for you?”
Motivator 2: Dominant Buying Motives
These are the emotional reasons behind the purchase, desire for gain and fear of loss, surfaced through those Level 3 questions. For a course buyer, gains might include publishing faster, becoming the go-to person in the lab, or building a hybrid profile that opens industry doors. Losses might include falling behind peers, missing a thesis deadline, or staying dependent on someone else’s timeline.
One rule I find important: never tell buyers what their motives are. Ask, and let them say it. A motive they state out loud is a motive they own.
Motivator 3: Buying Requirements
This is the practical machinery of the decision, and it’s the one online course creators most often ignore:
- The decision process. Who actually decides? In academia, the person who wants the training often isn’t the person who pays for it. It might be a PI’s grant, a department training budget, or a fellowship allowance, and each comes with its own approval steps. If you only sell to the learner, you may be selling to someone who can’t say yes.
- The decision criteria. What must be true for any option to work? For my workshop, the honest criteria are clear: it’s for bulk RNA-seq (not single-cell, ATAC-seq, or whole-genome sequencing), it assumes no prior Linux or R, and the live sessions run in the evening, U.S. Central time. Stating those limits upfront disqualifies some people, and that’s a feature, not a bug. A mismatched buyer becomes an unhappy customer.
- Time frame and finances. Is there a thesis defense, grant deadline, or end-of-fiscal-year budget driving the timing? Is the money already allocated, or does someone have to request it?
Once you know the criteria, repeat them back. Rick van Baaren found that restaurant servers who repeated orders back to diners word-for-word earned substantially larger tips. People trust those who prove they were listening. “So, just to make sure I’ve got it right: you need something that works for a non-model organism, doesn’t require cluster access, and fits around your lab schedule. Is that correct?”
When those three motivators are clear, you have everything you need to show real value. Which is where most sales pitches go wrong.
How to Create Value, Neutralize Competitors, and Overcome Objections
Value Is Something You Create With Buyers, Not For Them
Social exchange theory, first proposed by John Thibaut and Harold Kelley in 1959, says every relationship runs on an unspoken ledger: people stay engaged while the value exceeds the cost, and they quietly exit when it doesn’t. Every ignored email, canceled demo, and “let me think about it” is a buyer telling you the ledger is in the red.
The classic mistake is the feature-benefit pitch: “Our course has 40 hours of video, so you’ll learn a lot!” It assumes everyone benefits the same way from the same feature. They don’t.
A better approach is a Primary Buying Motivator Statement: instead of reciting features, you connect one specific capability to something the buyer told you matters, using their own words:
“Earlier you said the thing that scares you most is installing tools and breaking something on your lab’s server. That’s exactly why the workshop runs in a pre-configured cloud environment: you log in, and everything is already there. You won’t install a single package until you’re ready to.”
Same feature. Completely different impact.
Give First: Reciprocity in Online Education
Reciprocity is one of the most reliable forces in human behavior. In a classic study by Dennis Regan, people who received an unexpected Coca-Cola from a stranger bought twice as many raffle tickets from him later, even if they didn’t like him. Reciprocity beat likability.
Online education runs on this principle. HubSpot built one of the best-known marketing education brands by giving away full courses and certifications through HubSpot Academy. Learners get genuine value for free; HubSpot earns trust, expertise, and a steady stream of people who eventually need its software.
My own version is NGS101’s free tutorials, built on the belief that analysis code should be open and runnable by anyone. One subtle lesson from the research: things labeled simply as “free gifts” get discounted in people’s minds. Signaling the real value of what you’re giving away, in time saved or problems solved, makes the gift land.
Neutralize Competitors With “Psychological Vaccines”
In the 1960s, psychologist William McGuire developed inoculation theory: expose people to a weakened version of an argument, let them build their own counter-arguments, and they become resistant to the full-strength version later. It’s been used to help teenagers resist peer pressure to smoke and voters resist attack ads.
In sales, the move is elegant. After you establish distinct value, you let the buyer reject the alternatives:
“You mentioned that what you really need is someone who can look at your own data with you. If you went with a self-paced option that didn’t include that, how do you think it would go?”
Notice I haven’t said a word against the alternative. The buyer has, and they’ll believe their own argument far more than they’d ever believe mine.
Reading my workshop landing page with this in mind, I realized it already inoculates in a small way. It names, specifically, why beginners fail with written tutorials: they skip the Linux basics, they assume you can install tools, they assume you have compute, and they offer no clear “start here” arrow. A visitor who later lands on a free tutorial will recognize those exact gaps. And that 3 percent MOOC completion rate is the evidence that turns inoculation from opinion into fact.
Overcome Objections Using a Process, Not Hope
When an objection does come up, especially after price is on the table, speed matters. The longer a stalled deal sits, the less likely it closes. A five-step process keeps it calm and clean:
- Soften. Calm the defensive reaction with a validating statement: “That’s a fair concern. This is a real investment of your time.”
- Isolate. Find out if there’s anything else: “Other than the schedule, is there anything else holding you back?” Many first objections are polite excuses masking the real one.
- Diagnose the root. Silently ask yourself which of the Six Whys this objection traces back to.
- Answer with evidence and stories. New information lets people change their minds without losing face.
- Re-confirm the commitment. “Knowing the sessions are recorded and you can catch up anytime, does the schedule still feel like a barrier?”
Here’s how that might sound with the most common objection an online course hears:
Buyer: “Honestly, can’t I just learn this from YouTube for free?”
Me: “That’s a completely reasonable question. There’s a lot of great free content out there, including my own tutorials. Other than the cost, is there anything else making you hesitate?”
Buyer: “No, it’s really about whether I need to pay for it.”
(Root: Why #3, Why Your Industry Solution.)
Me: “When researchers looked at millions of learners in MIT and Harvard’s free online courses, only about 3 percent finished. Not because they weren’t smart, but because nobody was there when they got stuck. You mentioned you’ve already started two tutorials and stalled at installation both times. What do you think would be different this time?”
No pressure. No tricks. Just evidence that helps the buyer reach a conclusion they can defend.
How to Close a Sale: Traditional Tactics vs. the Science of Commitment
The Old Way: “Always Be Closing”
Mention closing and most people think of Alec Baldwin in Glengarry Glen Ross, pointing at a chalkboard: A-B-C. Always be closing. Traditional sales training is full of named closes: the assumptive close, the alternative close, the “if I could do this, would you sign today?” close. They all share one assumption: the sale happens at the end, in one big moment, and your job is to push the buyer over the edge.
In the online world, the modern version of that push is fake urgency. A Princeton team led by Arunesh Mathur crawled about 11,000 shopping websites and found 393 countdown timers; 157 of them were deceptive, either resetting after “expiring” or leaving the “limited-time” offer in place after the clock ran out. The U.S. Federal Trade Commission’s 2022 report on dark patterns called out exactly this practice. Anyone who has watched a course “launch” close forever, then reopen next week, has seen it firsthand.
These tactics can force a sale. But forcing a single giant leap at the end is exactly what triggers reactance, buyer’s remorse, and refund requests.
The Science-Backed Way: A Series of Small Commitments
The research points somewhere very different. Closing isn’t an event at the end; it’s a series of small commitments throughout.
In a classic 1966 study, Jonathan Freedman and Scott Fraser asked California homeowners to put a huge, ugly “DRIVE CAREFULLY” billboard on their front lawn. Only 17 percent agreed. But in a neighborhood where researchers had first asked residents to display a tiny three-inch “Be a Safe Driver” sign two weeks earlier, 76 percent said yes to the billboard.
Two forces explain this. The first is consistency: once we commit, especially out loud, we feel pressure to act in line with what we said. A Chicago restaurant called Gordon reportedly cut its no-show rate from about 30 percent to under 10 percent by changing one line on the phone, from “Please call if you change your plans” to “Will you call if you change your plans?” and then waiting for the customer to say yes.
The second is self-perception: we infer who we are from what we do. Bettors at a racetrack were more confident in their horse right after placing their bet than just before. Nothing about the horse had changed. They had.
What This Looks Like in Online Learning
Online education is full of natural experiments in commitment:
- Paying is a commitment. In that same edX analysis, while only about 3 percent of all learners finished, 46 percent of those who paid for a verified certificate completed their course. Paying doesn’t just prove motivation; it creates it.
- Streaks are commitments. Duolingo tested a “Streak Wager” that let learners bet in-app currency on keeping a seven-day streak. Day-7 retention rose 14 percent.
- Small yeses build toward big ones. A free tutorial, then an email signup (“Get notified when Cohort 4 opens”), then a question answered, then enrollment. Each step is small, voluntary, and consistent with the next.
Trial Closes: Checking In Without Pushing
The practical tool here is the trial close, which comes in two flavors:
Involvement trial closes help buyers picture ownership or affirm value: “If you joined, would you start with the example dataset or bring your own?” or “Having someone look at your own data with you seems important. Can I ask why?”
Commitment trial closes ask for a real, verbal agreement on one of the Six Whys: “Based on everything you’ve shared, would you ever want to go back to waiting on someone else to run your analysis?”
Pairing them works best. The involvement question primes the value; the commitment question locks it in. And if someone gives a lukewarm “maybe,” that’s not a no. It’s an invitation to ask a Level 2 question that lets them talk themselves toward clarity.
When to Actually Ask for the Sale
This is my favorite part, because it removes all the guesswork. You ask for the sale when the equation is satisfied: all Six Whys have been agreed to and the buyer is in a positive emotional state. At that point, asking isn’t pushy. It’s the next logical step. “Would you like to reserve a seat in the next cohort?” No tricks required.
Five Science-Based Sales Presentation Strategies (With Online Course Examples)
Whether it’s a sales page, a webinar, or a live call, the presentation is how your central-route message actually gets delivered. Five research-backed strategies make it land.
Strategy 1: Less Really Is More
Try this: a bat and a ball cost $1.10 in total. The bat costs $1.00 more than the ball. How much is the ball?
If you said 10 cents, you’re in good company, and wrong. (It’s 5 cents.) Our brains cut corners to save effort, and when overloaded, they stop deciding altogether.
In Sheena Iyengar and Mark Lepper’s famous jam study, shoppers who saw 24 flavors bought far less than shoppers who saw six: 3 percent versus 30 percent of those who stopped at the table. In a study of nearly 800,000 employees’ retirement plans, each additional ten fund options was associated with roughly a 2 percent drop in participation.
As a scientist, I’ll add an honest footnote: later meta-analyses have found the “choice overload” effect is real in some contexts and absent in others. But the direction is consistent enough to act on, and the most dramatic business example I know points the same way. When Steve Jobs returned to Apple in 1997, the company was selling a confusing sprawl of Macintosh models. He drew a two-by-two grid (consumer and professional, desktop and portable) and cut the lineup down to four core products. Apple went from losing over $1 billion in 1997 to a $309 million profit in 1998.
For online courses, the lesson is uncomfortable: stop listing every module, every bonus, every tier. My own teaching philosophy is “lean learning”: teach only what’s needed for the analysis and let theory fill in as questions arise. It turns out the same rule applies to selling that teaching. Give people what they need to decide confidently, and cut the rest.
Strategy 2: Anchoring
A story that circulates widely in sales circles tells of a record-breaking Girl Scout who asked people for a $30,000 donation first. When they said no, she asked, “Well, would you at least buy a box of cookies?” Whether or not it happened exactly that way, the psychology behind it is rock solid.
The first number people see becomes the reference point for everything after. Social psychologist Jerry Burger found that telling passersby cupcakes “used to cost $1, but now they’re only 75 cents” raised sales from 44 to 73 percent compared with just stating 75 cents.
Look at how MasterClass structured its consumer pricing as of mid-2024: $120, $180, and $240 per year, with the top tier mostly adding more devices. The higher tiers make the base tier feel modest, and the middle tier feels like the sensible choice.
For a workshop, the most honest anchor isn’t an inflated “value stack.” It’s the true cost of the alternative. For me, that anchor is years: the time I spent following the “learn everything first” path before I could analyze a single dataset on my own. Next to that, a structured seven-session workshop looks very different.
Strategy 3: Mirroring
In negotiation experiments by William Maddux and colleagues, MBA students who subtly mirrored their counterpart’s posture and speech reached a deal 67 percent of the time, compared with about 12 percent for those who didn’t. People trust those who feel similar.
You can mirror posture, gestures, and speaking pace, but in online selling, the most powerful mirror is language. Use the words your buyers use. When beginners describe tool installation, they don’t say “dependency resolution challenges.” They say it feels like black magic. When your sales page uses their words, it reads like it was written by someone who’s been there, because it was.
Strategy 4: The Picture Superiority Effect
The brain thinks in images. Molecular biologist John Medina notes that people remember about 10 percent of information presented orally 72 hours later, but about 65 percent when a picture is added.
This one is almost too easy for a data-analysis workshop. Don’t describe “publication-ready figures.” Show a volcano plot, a heatmap, and a pathway diagram produced from a real dataset. A single image of the end result answers “Why your product?” faster than a paragraph ever could.
Strategy 5: Tell Stories (Especially True Ones)
When Chip Heath asked Stanford students to recall classmates’ persuasive speeches, 63 percent remembered the stories, while only 5 percent remembered any individual statistic. Princeton neuroscientists have even shown that when someone tells a story, the listener’s brain activity begins to synchronize with the teller’s. Stories don’t just inform; they’re re-lived.
The most effective sales stories share a few traits: they cut unnecessary details, feature characters similar to the audience, open with a hook, let characters speak in their own words, end with a clear conclusion, and make a single point.
The best story I have is my own: a wet-lab turtle biologist handed a dataset nobody could analyze, told to master half a computer science degree first, grinding for years through material that turned out to be mostly irrelevant, and then being told by a colleague to “figure it out” himself. That story is similar to my audience, it has a clear villain (gatekeeping), and it makes one point: you shouldn’t have to go through what I went through.
Customer stories do the same work. When a past participant writes that she’d “highly recommend this workshop to anyone who is interested in learning how to analyze their own data but doesn’t know where to start,” a prospective learner who doesn’t know where to start sees herself in that sentence.
Final Thoughts: Selling Like a Scientist
I started with a company that sold water by claiming it had smaller molecules. I’ve thought a lot about why that nonsense worked, and I think the answer is now clear to me. It hijacked the peripheral route with authoritative-sounding “science,” slick presentation, and confident actors, at a time when viewers had no way to push back through the central route. It sold a feeling of doing something good for your body. And in the short run, that was enough.
But peripheral persuasion without a truthful central message is fragile. It works until someone checks. Today, buyers check everything. They research online before they ever talk to you. The sellers who win long-term are the ones who answer every Why honestly, understand what their buyers feel, and help them make a decision they’ll still believe in a year later.
That’s what I appreciate most about this framework. At its best, it isn’t about tricking the brain. It’s about respecting how the brain actually works.
I’ll close with a scientist’s caveat, because I’d be a hypocrite not to. Behavioral science has had its own reckoning with replication, and some popular findings, such as “power posing” and certain choice-overload results, haven’t held up as neatly as early studies suggested. The Six Whys model is a practitioner’s framework distilled from sales-call research, not a peer-reviewed law of nature. Treat these tools the way you’d treat any method in a lab: as strong hypotheses to test in your own context, not scripture. And remember that every technique here, from anchoring to inoculation, can be used to help someone reach a good decision or to push them into a bad one. The science doesn’t make that choice for you.
Still, “tested and imperfect” beats “made up and confident” every single time. If sales has been running on small-molecule water for decades, it’s about time it switched to the real thing.
If you’re building an online business, you might also enjoy my breakdowns of how online businesses turn strangers into customers, how to craft offers people can’t refuse, and why we’re far less rational than we think.
What’s the most ridiculous “expert” sales advice you’ve ever been given, or the most absurd product claim you remember from childhood? Share it in the comments. I read and respond to every one.
