Articles exploring Behavioral Economics through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
20 articles
If you're running experiments under pressure, the hardest part isn't ideas. It's bet sizing: deciding how big a bet to place based on expected value, and how much traffic to risk.
If you've ever run a quick test without an experiment brief template that somehow turned into six weeks of meetings, rework, and second-guessing, you're not alone.
If stakeholders keep rewriting your experiment doc, it's not because they're picky. It's because your brief doesn't answer the questions they get judged on.
If you run home pregnancy tests frequently after a suspected conception, you'll feel the temptation: the result looks promising on day three, excitement is building, and you want the confirmation. Or the opposite, the home pregnancy test result is negative, and you want to pull the plug before you "waste" more on excessive testing frequency.
Stakeholder pressure in business strategy doesn't break your metric tree because people are unreasonable. It breaks because the tree isn't tied to a decision anyone is willing to defend. I've been in the room when revenue misses, the board wants answers, and every exec grabs the nearest metric to justify their plan.
When my experiment backlog gets long, my decision quality drops fast. Everything looks “important,” every stakeholder has a favorite, and the loudest idea starts to win. That’s when I fall back on the expected value framework. Not because it’s fancy, but because it forces one thing: dollars first, o
If your team runs experimentation, you already know the ugly part: the results meeting turns into a debate about which metric “matters.” Someone points at conversion. Someone else points at retention. Finance wants revenue. Product wants engagement. When you don’t have a single North Star Metric, ev
Your top navigation is the set of street signs on your website. When the signs are clear, buyers keep moving. When they’re vague or crowded, they stop, hesitate, and bounce. In 2026 B2B SaaS buying, that hesitation costs more than it used to. Prospects arrive with opinions, they skim fast, and they
Your consent banner is the bouncer at the door. It decides who gets in, what you’re allowed to remember about them, and how well you can follow up later. For B2B SaaS teams, that’s not just a privacy detail. It can change retargeting pools, attribution, and even which leads look “high-intent” in you
Most B2B SaaS onboarding doesn’t fail because the product is hard. It fails because the first screens feel like paperwork. Users hesitate, skip, or bounce, long before they hit the “oh, this is useful” point. That’s where onboarding microcopy earns its keep. A few words can reduce doubt, set a clear
Most B2B SaaS sites lose high-intent visitors in silence. They skim the pricing page, open a competitor tab, then disappear. A well-timed exit intent popup is your last, best chance to turn that almost-lead into a demo, a trial, or at least an email you can nurture. But the popup isn’t the win. The
A good in-app upsell prompt feels like a helpful suggestion from a teammate. A bad one feels like a pop-up ad that wandered into your product by mistake. The difference is rarely the “offer.” It’s timing, copy, and what your UI makes the eye notice first. If you’re running PLG or sales-assisted expa
A demo request form is a lot like a front desk at a busy office. If it asks visitors to fill out a binder before they can talk to someone, many will walk out. If it asks for nothing, you get prank calls, spam, and meetings that go nowhere. The goal for 2025 is balance: [ ]
Most B2B SaaS teams treat the pricing page like a static brochure. It looks clean, it matches the brand, and then it rarely changes. But your pricing page is actually the decision engine for trial starts and demo requests. Small tweaks can create big jumps in signups without a full redesign. This gu
Most SaaS teams already send trial onboarding emails. Few treat that flow as a focused conversion engine. If your inbox journey is an afterthought, you are leaving money on the table. Smart onboarding email ab testing can move trial-to-paid by double digits without more traffic or longer trials. Thi
Most signup funnels do not break at the big call to action. They leak in the tiny moments in between, like half-typed emails, abandoned password fields, or paused trial signups. That is where micro conversion optimization wins. Instead of staring at one top-line signup rate, you tune every small beh
Most signup funnels do not break at the big call to action. They leak in the tiny moments in between, like half-typed emails, abandoned password fields, or paused trial signups. That is where micro conversion optimization wins. Instead of staring at one top-line signup rate, you tune every small beh
Why do some A/B tests move the needle while others barely change a thing? One big reason is that many high-performing growth teams bake behavioral economics into their experiments. They do not just test colors and button shapes. They test how people actually make choices, with all their habits, fear
Why do some A/B tests barely move your conversion rate while others unlock huge gains from the same traffic? You change a button color, move a headline, run the stats, and end up with a tiny lift that no one cares about. The problem usually is not your toolset. It is that most tests only [ ]
The $20,000 Question - You're sitting across from a hiring manager. The offer is $140,000.