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Case · M3 × Discover / Stay (two-sided marketplace)

Airbnb: reputation beats similarity

Airbnb has to get strangers to trust each other. A Stanford and Airbnb study with 8,906 users found that strong reputation signals made people trust hosts unlike themselves, a result consistent with about 1M real Airbnb interactions (PNAS 2017).

M3 ×DiscoverStayMarketplace

The outcome · 2017

In an experiment with 8,906 Airbnb users, high reputation significantly increased trust between dissimilar users, offsetting the pull toward similar others; analyses of about 1M real Airbnb interactions agreed (Abrahao et al., PNAS, Sept 2017).

Case grade for the number: A. Evidence grade for the mechanism link: A.
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Stage cell: M3 × Discover / Stay (two-sided marketplace).

What they did. Two-sided reviews, verified identity, host response rates, the Superhost badge and, from Nov 2023, Guest Favorites (about 2M "most-loved" homes chosen from ratings, reviews and reliability). Early on, the founders photographed New York listings themselves; NYC revenue reportedly doubled within a month (secondhand retellings, grade D).

The mechanism. Hooked names Airbnb among products where reputation is stored value HK-INV16 (Hooked Ch.5). Representative, verified reviews INF-T-SP-24 (Influence Ch.4, p.120) are social proof from similar others INF-T-SP-17 (Influence Ch.4, p.107), and earned status labels such as Superhost act as authority cues INF-T-AU-03 (Influence Ch.6, p.166).

The outcome. In the trust game, high reputation significantly raised trust in dissimilar users Case grade A. From a regulator, a public filing or a peer-reviewed study., and the pattern held in about 1M real hospitality interactions.

What it means at your stage. For marketplaces at M2-M3, reputation design is trust design: both sides review, the status tier has clear criteria, and scarcity labels such as "Rare find" state their rule. Measure booking conversion by host reputation band and cross-group bookings.

Caveats. The experiment was an online investment game played with credits, not real bookings; the field data is observational. One author worked at Airbnb. Mechanism link Evidence grade A. Robust evidence: replicated, peer-reviewed research..

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Each one is a starting point, not a recipe. Gamify It turns a technique into an experiment card for your product: the change, the metric, the guardrail and how long the test needs at your traffic.

  • TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.

    Reputation that carries real value

    earned reputation as stored value

    Let users earn a reputation (ratings, badges, response scores) that changes what they get: better ranking, higher prices, more trust, new privileges. People stay where their reputation lives.

  • TechniqueEvidence grade B. Moderate evidence: solid studies with some limits.

    Verified, representative reviews

    full, verified rating picture

    Show reviews the way they are: the full star distribution, verified-buyer labels, dates, critical reviews with replies, disclosed incentives, and a link to every review in place of a hand-picked wall. Representative proof is believed; a wall of five-star quotes is discounted.

  • TechniqueEvidence grade B. Moderate evidence: solid studies with some limits.

    Proof from similar others

    people like you

    Choose testimonials, case studies and usage data by the visitor's industry, role, size, country, language or experience level, and let users filter reviews by "people like me". People follow those who resemble them far more than generic crowds.

  • TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.

    Status tiers that grant real power

    tiers with visible criteria and real perks

    Ranks and tiers change behavior only when they bring powers or standing others recognize, and when the criteria for the next tier are visible. Chou's audit of a navigation app found its top rank barely changed behavior because it gave no real power, while earned seller tiers on a marketplace did.

Limits

What we don’t claim

  • The Hook Model is a practical design tool, not a validated or complete theory of behavior.Hooked, Introduction
  • No success is attributed to a single technique: real outcomes have many causes.
  • Company names are used editorially; no endorsement is implied.

Sources

Source IDs: CASE-M04HK-INV16INF-T-SP-24INF-T-SP-17INF-T-AU-03

Book content is paraphrased, never quoted at length. Last verified October 24, 2026.

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