Easy Text Marketing Platform

Easy Text Marketing Platform

AppSumo

'Customers appreciate Easy Text Marketing Platform for its robust features, responsive customer support, and ease of use. While some users found the user interface a bit challenging and encountered minor bugs, the overall feedback is positive.

'Customers appreciate Easy Text Marketing Platform for its robust features, responsive customer support, and ease of use. While some users found the user interface a bit challenging and encountered minor bugs, the overall feedback is positive. With a 4.7 rating and 69 reviews, it's a solid buy, especially with the 60-day money-back guarantee. Give it a try and text your way to more sales!'

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Actual performance

69reviews
Made the leaderboard

Traction signals

Rating4.7 / 5
Purchases3,340

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: platform, reviews, interface · Missing: plus, intuitive, host
88%88% 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 · Missing: mac, agents, macos
74%74% 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
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
38%38% 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, way · Missing: mobile apps, ios, personal
37%37% 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
20%20% 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
12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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