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Do not turn a mention into an endorsement or use authority that is irrelevant to the user segment."},"appearance":{}}}},{"id":"b025-h2","order":300,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"4. Studies — Is the promise evidence-based?"},"appearance":{}}}},{"id":"b026-p","order":310,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Research proof can help users evaluate a high-stakes promise. The name of a university, journal, or expert is not enough. 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Expert participation is not proof that the finished product produced the advertised outcome."},"appearance":{}}}},{"id":"b030-h2","order":350,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"5. Outcome percentages — How often do users report progress?"},"appearance":{}}}},{"id":"b031-p","order":360,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Outcome percentages are more specific than a review or user count. They can answer how common a reported result was, but the percentage is only interpretable with its denominator and method. “95% improved” can mean a randomized measure, a survey of retained users, or a small voluntary sample. Those are not the same claim."},"appearance":{}}}},{"id":"b032-fig","order":370,"kind":"Media","layout":{"heightKind":"auto","spaceBefore":"figure-top","spaceAfter":"figure-bottom"},"mediaContent":{"kind":"Image","appearance":{"scaleMode":"scaleAspectFit"},"alt":{"en":"Archived outcome-percentage examples"},"caption":{"en":"Archived examples: Paired, Woofz, Me+, and Balance present reported improvements as percentages."},"content":{"image":{"translations":{"en":{"original":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/seven-types-social-proof-onboarding-paywalls/20260727111200_outcome-percentages/origin.png","small":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/seven-types-social-proof-onboarding-paywalls/20260727111200_outcome-percentages/small.png"}},"appearance":{}}}}},{"id":"b033-p","order":380,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Show the sample size, time period, measure, method, and source. Separate self-reported progress from measured outcomes. Explain who was excluded. Without this context, precision can make a weak claim look stronger than it is."},"appearance":{}}}},{"id":"b034-h2","order":390,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"6. Ratings and awards — Was quality recognized externally?"},"appearance":{}}}},{"id":"b035-p","order":400,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Ratings and awards can provide a fast external quality signal. A rating is useful when users can see where it came from, how many ratings support it, and how current it is. An award is useful when the awarding organization, category, and year are clear."},"appearance":{}}}},{"id":"b036-fig","order":410,"kind":"Media","layout":{"heightKind":"auto","spaceBefore":"figure-top","spaceAfter":"figure-bottom"},"mediaContent":{"kind":"Image","appearance":{"scaleMode":"scaleAspectFit"},"alt":{"en":"Archived ratings and awards examples"},"caption":{"en":"Archived examples: Flo, Daily Yoga, and Me+ use ratings or awards as external recognition signals."},"content":{"image":{"translations":{"en":{"original":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/seven-types-social-proof-onboarding-paywalls/20260727111201_ratings-awards/origin.png","small":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/seven-types-social-proof-onboarding-paywalls/20260727111201_ratings-awards/small.png"}},"appearance":{}}}}},{"id":"b037-p","order":420,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Keep the platform, score, rating count, date, award body, category, and year visible. Do not merge ratings from different sources, hide the sample size, or keep an old award on screen as if it were current."},"appearance":{}}}},{"id":"b038-h2","order":430,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"7. Live activity — Is the product active now?"},"appearance":{}}}},{"id":"b039-p","order":440,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Live activity signals can answer a different question from total adoption: Is anything happening here now? Current users, recent activity, availability, or verified community participation can make an otherwise static product feel active. This type has the highest authenticity requirement because a fabricated counter is not social proof."},"appearance":{}}}},{"id":"b040-p","order":450,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"A static screenshot cannot verify a live signal. This guide intentionally does not use one as proof. A current-users or recent-activity counter is credible only when the value can be refreshed and verified when it is shown."},"appearance":{}}}},{"id":"b041-p","order":460,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Use only real, current, privacy-safe signals. Define the time window and unit. Show activity that matters to the decision, not a random counter. If the data cannot be verified or refreshed reliably, remove the component."},"appearance":{}}}},{"id":"b042-h2","order":470,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"Why relevance can matter more than volume"},"appearance":{}}}},{"id":"b043-p","order":480,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"In hotel field experiments, a descriptive norm outperformed a standard environmental appeal. In a second experiment, the message about “guests who stayed in this room” performed best among the tested reference groups. The practical lesson is not that one phrase will improve an app. It is that a nearby, credible reference group can be more persuasive than a broad crowd."},"appearance":{}}}},{"id":"b044-p","order":490,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Evidence boundary: these were hotel towel-reuse experiments, not onboarding, paywalls, purchases, or app conversion. Treat relevance as a design hypothesis to test, not a promised lift."},"appearance":{}}}},{"id":"b045-h2","order":500,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"When social proof backfires"},"appearance":{}}}},{"id":"b046-p","order":510,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Social proof can amplify the wrong behavior as easily as the right one. In a household-energy field study, telling low-consuming households that others used more energy increased their consumption. An approval or disapproval cue removed that boomerang effect. The warning for product teams is simple: do not normalize the behavior you want users to avoid."},"appearance":{}}}},{"id":"b047-p","order":520,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Evidence boundary: this was a household-energy study, not onboarding, paywalls, or app conversion. Use it as a warning about descriptive norms—not as an estimate of product impact."},"appearance":{}}}},{"id":"b048-p","order":530,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Also watch for four practical failure modes: fake or inflated proof, an irrelevant reference group, a claim that cannot be opened or verified, and several proof types stacked until the user no longer knows what matters."},"appearance":{}}}},{"id":"b049-fig","order":540,"kind":"Media","layout":{"heightKind":"auto","spaceBefore":"figure-top","spaceAfter":"figure-bottom"},"mediaContent":{"kind":"Image","appearance":{"scaleMode":"scaleAspectFit"},"alt":{"en":"Archived screen with several social-proof types"},"caption":{"en":"Archived example: several proof types compete on the same screen. More evidence is not automatically clearer evidence."},"content":{"image":{"translations":{"en":{"original":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/seven-types-social-proof-onboarding-paywalls/20260727111202_mixed-proof/origin.png","small":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/seven-types-social-proof-onboarding-paywalls/20260727111202_mixed-proof/small.png"}},"appearance":{}}}}},{"id":"b050-h2","order":550,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"How to implement it"},"appearance":{}}}},{"id":"b051-p","order":560,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Map the main doubts across the journey. Choose one primary proof type for each important doubt. Verify the evidence before designing the component. Adapt the reference group only when you have real cohort data. Then test the proof at the decision point and watch downstream behavior, not only the immediate click."},"appearance":{}}}},{"id":"b052-p","order":570,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"<b>Social proof is not decoration. It is evidence matched to uncertainty. Choose proof by the user's doubt—not by the component library.</b>"},"appearance":{},"templateParams":{"labels":{"b":{"fontWeight":700}}}}}},{"id":"b053-h2","order":580,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"A five-question social proof audit"},"appearance":{}}}},{"id":"b054-p","order":590,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"1. What uncertainty does this proof resolve?"},"appearance":{}}}},{"id":"b055-p","order":600,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"2. Is the person, group, publication, study, or platform credible to this cohort?"},"appearance":{}}}},{"id":"b056-p","order":610,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"3. Can every quote, number, logo, result, and date be verified?"},"appearance":{}}}},{"id":"b057-p","order":620,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"4. Is this the decision point where the user needs that answer?"},"appearance":{}}}},{"id":"b058-p","order":630,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"5. Does the proof clarify the decision without hiding cost, risk, or uncertainty?"},"appearance":{}}}},{"id":"b059-h2","order":640,"kind":"Text","layout":{"heightKind":"auto","spaceBefore":"h2-top","spaceAfter":"h2-bottom"},"semanticTag":"h2","textContent":{"titleRole":"h2","title":{"kind":"static","translations":{"en":"Sources and evidence boundaries"},"appearance":{}}}},{"id":"b060-p","order":650,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Original author article and archived app examples: <lnk>@l1</lnk>"},"appearance":{},"templateParams":{"links":{"l1":"https://onboarding.online/social_proof"},"linkOptions":{"l1":{"label":{"en":"https://onboarding.online/social_proof"}}}}}}},{"id":"b061-p","order":660,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Goldstein, Cialdini & Griskevicius (2008), hotel field experiments: <lnk>@l1</lnk>"},"appearance":{},"templateParams":{"links":{"l1":"https://doi.org/10.1086/586910"},"linkOptions":{"l1":{"label":{"en":"https://doi.org/10.1086/586910"}}}}}}},{"id":"b062-p","order":670,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Schultz et al. (2007), descriptive norms and the boomerang effect: <lnk>@l1</lnk>"},"appearance":{},"templateParams":{"links":{"l1":"https://doi.org/10.1111/j.1467-9280.2007.01917.x"},"linkOptions":{"l1":{"label":{"en":"https://doi.org/10.1111/j.1467-9280.2007.01917.x"}}}}}}},{"id":"b063-p","order":680,"kind":"Text","layout":{"heightKind":"auto","spaceAfter":"p"},"textContent":{"subtitleRole":"body","subtitle":{"kind":"static","translations":{"en":"Product screens are archived examples. They show how proof was presented, not whether it improved conversion or whether the same screen is still live."},"appearance":{}}}},{"id":"takeaways","order":690,"kind":"ArticleTakeaways","layout":{"heightKind":"auto","surfaceRole":"panel","spaceBefore":"block"},"articleTakeawaysContent":{"heading":{"en":"Key takeaways"},"items":[{"en":"Start with the doubt, not the component: ask what the user is uncertain about now, and who is credible enough to answer it."},{"en":"The strongest number is not always the largest one. It is the number that defines a credible reference group."},{"en":"Every quote, number, logo, result and date must be verifiable: show the source, sample, time period and method."},{"en":"Social proof can amplify the wrong behavior as easily as the right one: do not normalize the behavior you want users to avoid."},{"en":"Test the proof at the decision point and watch downstream behavior, not only the immediate click."}]}},{"id":"related","order":700,"kind":"ArticleRelated","layout":{"heightKind":"auto","maxWidth":1080,"spaceBefore":"end-section"},"articleRelatedContent":{"heading":{"en":"Readers also read"},"limit":3}},{"id":"cta","order":710,"kind":"ArticleCta","layout":{"heightKind":"auto","maxWidth":1080,"surfaceRole":"cta-band","spaceBefore":"end-block"},"articleCtaContent":{"title":{"en":"Build Segment‑Aligned Funnel in 15 minutes"},"sub":{"en":"Analyze audience → Design flows → Create funnel"},"button":{"label":{"en":"Get Started"},"href":"https://www.segmently.ai/"}}},{"id":"footer","order":720,"kind":"ArticleFooter","layout":{"heightKind":"auto","maxWidth":1080,"spaceBefore":"end-section"},"articleFooterContent":{"brand":{"en":"Segmently.AI"},"copyright":{"en":"Copyright 2026"},"links":[{"label":{"en":"Terms and Conditions"},"href":"https://www.iubenda.com/terms-and-conditions/22414933"},{"label":{"en":"Privacy Policy"},"href":"https://www.iubenda.com/privacy-policy/22414933"},{"label":{"en":"Cookie Policy"},"href":"https://www.iubenda.com/privacy-policy/22414933/cookie-policy"}]}}]}}}},"webViewDefaultBackgroundColor":"#F7F8FA","articleRuntime":{"siteOrigin":"https://articles.segmently.ai","byline":{"name":"Leo","jobTitle":"CEO","org":"Segmently Smart Flow","datePublished":"2026-09-27T15:18:26.734Z","dateModified":"2026-09-27T15:18:26.734Z","readingMinutes":7},"related":{"items":[{"alias":"yazio-app-onboarding","title":"YAZIO: One of the Best Onboarding Experiences, but There Is Something to Make It Even Better","url":"https://articles.segmently.ai/yazio-app-onboarding","imageUrl":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/yazio-app-onboarding/20260928075655_yazio-app-onboarding-cover/origin.png","thumbnailUrl":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/yazio-app-onboarding/20260928075655_yazio-app-onboarding-cover/small.png","description":"A teardown of YAZIO’s 100+ screen onboarding: goal branches, social proof, labor illusion, a four-screen paywall and three things to improve.","topic":"Onboarding","dateModified":"2026-09-28T08:03:09.605Z"},{"alias":"prevent-drop-off","title":"Negative Emotions → Procrastination → Drop-off Instead of Purchase","url":"https://articles.segmently.ai/prevent-drop-off","imageUrl":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/prevent-drop-off/20260928075642_prevent-drop-off-cover/origin.png","thumbnailUrl":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/prevent-drop-off/20260928075642_prevent-drop-off-cover/small.png","description":"Uncertainty makes users put off decisions, so onboarding has to reduce it at every step, including at the moment of purchase.","topic":"Onboarding","dateModified":"2026-09-28T08:02:49.534Z"},{"alias":"lose-it-analysis","title":"Lose It: Motivating Users for Purchase","url":"https://articles.segmently.ai/lose-it-analysis","imageUrl":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/lose-it-analysis/20260928075704_lose-it-analysis-cover/origin.png","thumbnailUrl":"https://api.segmently.ai/assets/projects/gBaBUKeRMqP62FD0C2VU/cli-assets/articles/lose-it-analysis/20260928075704_lose-it-analysis-cover/small.png","description":"How Lose It keeps users motivated through 109 onboarding screens, from the first-screen promise to segmentation, a trial plan and the paywall.","topic":"Onboarding","dateModified":"2026-09-28T08:02:40.939Z"}],"generatedAt":"2026-09-28T08:03:29.327Z"}},"projectAnalytics":{"integrations":[],"consentManagement":{"enabled":false,"bannerText":"We use cookies to improve your experience and analyze site usage.","privacyPolicyUrl":"","defaultConsent":"denied"}}}