Peltzman Effect
Why adding safety features makes people take more risks, and how to use the Peltzman effect to reduce purchase anxiety in your marketing.
In this issue
Hey 👋 The Crew here.
Look at your phone. Is it in a case? If so, we’re willing to bet you toss it onto the couch with reckless abandon. If it were naked, you’d treat it like a Fabergé egg.
It’s called the Peltzman effect. And turns out, it can make your marketing more effective.
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In 1975, economist Sam Peltzman published a study that annoyed everyone in the auto industry.
He argued that mandatorysafety regulations—like seatbelts and padded dashboards—didn’t save as many lives as predicted.
Why? Because drivers compensated for the increased safety by driving more recklessly.
When our brain perceives a drop in risk, it authorizes an increase in risky behavior.
We have a “risk budget.” If the environment feels too safe, we spend that budget on speed, aggression, or carelessness. Unfortunately, it hits close to home, right?
That’s the Peltzman Effect in action. You experience this daily without realizing it. Got a phone case? You probably handle your device more carelessly.
Backup software installed? You might be less diligent about manual saves. The safety net changes the behavior.
In marketing, this means your customers are terrified of making a bad decision.
But if you install enough “safety features” in your UX and messaging, they tune down the rational voice in their brain, and listen more to their impulses.
Make them feel safe, and they’ll take the risk. Let’s see how.
Three ways to leverage the Peltzman Effect
The “Digital Seatbelt” in UX
Why digital seatbelt? Think of a bad purchase or wasted time as a “crash.” If you remove or ease the consequences, users will move faster through your funnel.
In UX design, the seatbelt looks like friction-removal that feels like a safety net.
ClickUp, a productivity SaaS, uses this perfectly in their onboarding. Instead of offering just a free trial, they offer a “Free Forever” plan with no credit card required.
This is the ultimate seatbelt:
By removing the crash, which is a financial risk, they encourage users to invest hours into setting up complex workspaces, which is risky behavior.
Once the user has “sped up” and dumped all their data into the platform, they are committed.
The safety of the entry allows for the reckless investment of time, which leads to retention. Smooth.
Skin in the game trial
Most subscription services use free trials to lower the barrier to entry. They want you to feel “safe” trying the product.
Netflix went the other way.
In 2020, they completely removed their 30-day free trial in the U.S. By removing the “safety net” of a free test drive, they forced users to make a financial commitment immediately.
This introduced friction, yes. But it also filtered out the “serial trialists,” users who jump from email to email just to watch one show for free.
By increasing the risk of wasting money, they forced users to be more intentional and conscious when signing up.
They sacrificed the volume of “free users” to ensure 100% of their leads had “skin in the game.”
The return policy paradox
In the e-commerce world, the “risk” is buying something that looks terrible on you. Or just doesn’t fit your needs the way you thought it would.
If returns are hard, customers buy one cautious item. If returns are free, they buy five.
Warby Parker built an empire on this version of the Peltzman Effect with their “Home Try-On” program.
By sending you 5 frames for free and including a prepaid return label, they created a zero-risk environment.
The result? Customers didn’t just pick one frame. The safety of the return policy encouraged “reckless” behavior—ordering multiple styles they wouldn’t normally touch.
Often, customers end up keeping more than one frame, or upgrading to more expensive lenses, simply because the initial fear of the purchase was anesthetized by the safety net.
And as a bonus, the Home Try-On campaign also gained them coverage from media and influencers. Pretty neat.
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AI MARKETING:Over the past six months, YouTube showed up in 16% of AI responses, beating Reddit’s 10%. Why? Because videos come with transcripts and loads of text, making YouTube way easier for AI to read and reference. Add this to your AIO playbook.
E-COMMERCE: Your discounts are becoming AI leverage. Google’s recently launched Direct Offers will allow you to provide your best deals to AI, and then it will decide when to deploy them based on shopper intent and market context. Yep, it’s like a robot negotiating on your behalf.
TIKTOK: Just days after the new owners took control of TikTok’s US operations, the platform suffered its first major outage. Users reported failed uploads, broken feeds, and an algorithm that suddenly felt generic instead of personalized. Talk about bad timing.
INSTAGRAM:…is reportedly testing a paid subscription tier that would unlock premium features like seeing which followers don’t follow you back. Plus, it will allow you to create unlimited audience lists, and anonymously view stories. Will this kill third-party tools that do the same?
LINKEDIN:Move over Reddit, LinkedIn is taking over AI results now. Well, not quite, but it’s getting awfully close. And the reason is apparently structured content, credibility signals, and expert authorship that LLMs love to cite. Something to include in your content strategy, maybe?
ICYMI, last time we looked at the Rumpelstiltskin Effect.
The “Risk-Taker” Crew
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