Should I Advertise?” interactive form

Hacker News

Hey guys, Some context here: we’re a sales/marketing agency that had some free time and thought it would be useful for others (and fun for us) to create an interactive form that would allow startups/entrepreneurs/marketers to figure out if advertising is right for their business. Here it is: https://shouldiadvertise.typeform.com/to/wb7AEi This idea came about from talks in the startup/venture capital space on the decreasing ROI on Facebook/Google ads, as well as from our own experience helping other companies navigate ads. We used Typeform to create this because we don’t have the coding skills and time to pull off what we had in mind. If we get positive feedback and people find it useful, we’ll look into developing a more custom version. For full disclosure, we’re not affiliated with Typeform. We’re looking to hear your feedback on the form mechanics, form logic (does it make any sense??), look/feel etc. At the end of the day, we want this to be both practical/helpful and also fun to use. Thanks!

Visit product View on Hacker NewsOct 31, 2019

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6points

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best fitHighest predicted score across all platforms for this description.

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

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

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

nativeThis product was originally launched on this platform.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs, google · 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 · Strong signals: active · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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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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