Endowment Effect
People value things more once they own them, and more still once they have put work into them.
Definition
Thaler (1980) described the tendency to demand more to give up an object than one would pay to acquire it. The related IKEA effect, demonstrated by Norton, Mochon and Ariely (2012), shows that self-assembled or self-created items are valued higher by their creators.
Established research. Originates in published research and has been replicated. The effect is real. Its size in your product still needs measuring.
Investment creates attachment
Every configuration a user completes, every document they write and every list they curate increases the perceived cost of leaving. This is the honest mechanism behind trials, free tiers and setup flows, and it is also the reason data export is an ethical obligation rather than a nice extra.
The uncomfortable corollary is that effort you require the user to spend increases their attachment. That is a real effect and also an easy justification for unnecessary work, so it needs watching.
Do
- Let users create something real early in the experience.
- Preserve what they build across sessions and plan changes.
- Make export straightforward and complete.
Do not
- Manufacture effort to create attachment.
- Hold user data hostage at cancellation.
- Confuse switching cost with product value when reading retention numbers.
In practice
Build something in the first session
SaaS onboardingOnboarding that produces a real artefact, rather than a tour, converts better and retains better. The user leaves with something of theirs in the product.
Complete export
Subscription productsFull export in an open format is what separates legitimate attachment from lock-in. Data portability is also a legal right in several jurisdictions.
Sources
Where a source establishes something narrower than the popular reading of it, the note says so.
Toward a positive theory of consumer choice
R. Thaler, Journal of Economic Behavior and Organization, 1980
The IKEA effect: when labor leads to love
M. I. Norton, D. Mochon and D. Ariely, Journal of Consumer Psychology, 2012
Continue from here
Each link says what the connection is, so you can tell a principle from an alternative from a thing people mix this up with.
Applies when you are designing
Explains
The mechanism underneath these entries.
- Goal-Gradient EffectLaw
- Zeigarnik EffectLaw
- Deceptive PatternsPrinciple
Applied through
Where this shows up as a concrete interface decision.
- Empty StatesPattern
- OnboardingPattern
Practical example
A worked decision where this was the deciding factor.
Check your work
Review passes that test whether this was done properly.
- SaaS Product ChecklistChecklist
Related concept
Connected closely enough to change how you apply this.
- Loss AversionCognitive bias
- Sunk Cost FallacyCognitive bias