Message that expresses the essence of why a customer buys

Hacker News

Hi Hackers, Hope you guys had wonderful holidays! I recently started a new journey from software engineer to Growth. There are tons of things to learn, and this group helps me a lot! Thank you guys =) Life from software engineer to Growth is so different, but it's fun challenging new things! I am not the best copywriter but trying to figure out the best message to deliver our value to our potential customers. Have you guys tried different stories on the same product to find out what works out the best? If you do, can you share your experience? The followings are mine, and we are about to try A/B test on this. -As IS: Talk Instantly with your teams -To Be: It's the lightest audio call app for your team. We've designed Tappy with the latest in cognitive and neuroscience principles so it's simple, seamless, and human to use. The hardest part is downloading it—the rest is just talking. https://tappy.so/?ref=hn

Visit product View on Hacker NewsDec 28, 2020

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

58%58% predicted probability of success on Product Hunt, 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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · 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 · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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