Feedback Link

AppSumo

Customers appreciate Feedback Link for its seamless review and testimonial collection process, intuitive interface, and effective email and SMS automation. However, some users have reported issues with email deliverability and occasional unresponsiveness from support. Despite these minor drawbacks, Feedback Link maintains a solid 4.4 overall rating from 69 reviews. With a 60-day money-back guarantee, it's worth giving it a try for those seeking a reliable social proof solution.

Visit product View on AppSumoNov 19, 2022

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Actual performance

69reviews

Made the leaderboard

Traction signals

Rating4.5 / 5

Purchases2,520

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: intuitive, reviews, occasional · Missing: plus, platform, host

85%85% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, email · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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