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Quora Hack for Affiliates and Product Creators

Hacker News

Quora Hack for Affiliates and Product Creators

More than 70% Affiliate marketers know about quora and only very few make money. The biggest reason is we don’t know which question gets more impressions. Unfortunately quora doesn’t let you know the top questions. But you can get this for free with a simple hack. Here it is: https://i.imgur.com/Ik1xwqb.jpg Step 1 : click on your profile icon and click on Ads Manager Step 2: On the right hand corner click on New Campaign and Give a campaign name Step 3: Under Objective select Traffic Step 4: Under Choose primary targeting , select Contextual Targeting Step 5 : And then Select Question and click on Bulk add and Window will pop up and enter your keyword Quora will list the questions with Weekly Views Sometimes you may not get results if your keyword is broad like weightloss , in that case go for more specific keywords Results for Finance and Personal Finance : https://i.imgur.com/yuS9oMy.png If you have more than 50 answers to the question , reply to the top answer to get more visibility. Am a content marketer with plus years. Did a research for past 6 months , studied 100 plus case studies and 70 successful affiliates and course creators. The goal was to know how they are generating free traffic. After a successful research i published study as eBook: 56 Ways to get Free Traffic to Affiliate Products Link: https://gumroad.com/l/freeaffiliatetraffic

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% 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, context · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, answers · Missing: mobile apps, ios, entrepreneurs
43%43% predicted probability of success on TrustMRR, 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
38%38% 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 · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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