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Use Quizzes as Lead Magnets – EmbedQuiz

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Use Quizzes as Lead Magnets – EmbedQuiz

I've been working on this project for the last 6 months. Most businesses have a hard time generating leads and every small improvement in the conversion rates can mean a huge positive change for a company's revenue, so I started creating a tool, that helps companies create better converting lead magnets. When we talk about quizzes, people usually think of simple math and geography quizzes. But lead magnet quizzes can be company audits, routine or workout recommendations, product quizzes, etc. A lead magnet quiz provides an interesting valuable piece of information, that helps the user with a personalized solution to a problem. According to most studies covering lead magnet quizzes, they have higher conversion rates because of the Osvianskina effect ( https://en.wikipedia.org/wiki/Ovsiankina_effect , When filling out a quiz, people are more likely to give their contact info to receive results.) and also the personalized results are more interesting than lead magnet PDF-s. My goal with EmbedQuiz was to at first create a tool, that is completely free and stays free and later introduce more advanced features that are paid. Currently, EmbedQuiz has all the free features and no paid plan. It saves results to the user's own Google Drive into a Sheets document. So the results are not stored on our servers and can be imported easily into any Google Sheets compatible service.

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, compatible · Missing: supports, reddit linkedin, podcasting
95%95% 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.
TrustMRRFits verified-revenue profile · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, user · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
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: paid, introduce · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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