Teardowns › Email › Incentive (principle)
Nanit gives the friend five times what the referrer gets
Get $20 for each friend you refer (and your friend gets $100 off)
Step by step
- 1
Headline: "Get $20 for each friend you refer".
- 2
"Turn 'You HAVE to get one' into real savings. Send friends a code for $100 off, and you'll bank $20 for yourself when they purchase."
- 3
"How it works" in three ticked steps, ending "You receive $20 cash back".
Prices quoted in dollars ($), exactly as shown on the email we captured. Prices vary by region and change over time.
The psychology
Why it nudges
Nanit uses a referral incentive weighted to the friend ($100 off vs $20 for the referrer), which makes sharing feel generous. Calling the reward "cash back" you "bank" puts it in a different mental account from store credit (evidence for reward labelling: mixed). Results are not public.
● Mixed evidence (as used here) · More on incentive (principle), with sources →
Context
A baby-monitor brand where word of mouth between parents likely drives sales. The copy borrows the line parents already say to each other.
Honest nudge or dark pattern?
Conditional
Honest nudge if the $20 really is cash. If it's store credit, the "cash back" wording misleads.
Steal this, honestly
- Weight the reward towards the friend when your customers are recommending to people they care about.
- Quote the recommendation customers already make ("You HAVE to get one").
- Say what form the reward takes (cash vs credit).
What to test: Symmetric (give $50/get $50) vs asymmetric (give $100/get $20). Measure referral sends and completed referrals.
Next: run it on your product
Apply this with your agent
Take the steps above into your own flow. The prompt carries this teardown, the honest-vs-dark line and the steps.
ChatGPT, Claude, Grok and Cursor open with the prompt filled in (it is also copied, in case the prefill doesn't load). Gemini and Codex don't support prefilled links, so the prompt is copied and the app opens; paste it in.
Sources
- Email on Email Love (9 Aug 2026)
- Ryu & Feick (2007), A penny for your thoughts: referral reward programs and referral likelihood. doi.org/10.1509/jmkg.71.1.084
Related teardowns
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