EmailDelivery.com

AppSumo

The review summary: 'Customers are all about EmailDelivery.com, praising its robust features, responsive support, and cost-effectiveness. The platform's power and flexibility, along with exceptional customer service, have garnered high praise. Some users encountered minor issues with custom tracking links and domain binding, just small bumps on the road. With an overall rating of 4.9 and a 60-day money-back guarantee, EmailDelivery.com is hitting the mark and is a solid buy for those in need of a self-hosted email service provider.'

Visit product View on AppSumoJun 9, 2024

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Actual performance

88reviews

Made the leaderboard

Traction signals

Rating4.5 / 5

Purchases2,911

Launch Intel predictions

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

82%82% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

76%76% 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: ide, io · Missing: https docs, excited, just released

46%46% 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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, email · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

16%16% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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