Adsby

Adsby

AppSumo

Customers appreciate Adsby for its user-friendly interface, practical optimization suggestions, and time-saving features. Some users have reported issues with AI functionality and customer support responsiveness, but these seem to be isolated cases.

Customers appreciate Adsby for its user-friendly interface, practical optimization suggestions, and time-saving features. Some users have reported issues with AI functionality and customer support responsiveness, but these seem to be isolated cases. With an overall rating of 4.0 and a 60-day money-back guarantee, it's worth giving Adsby a try for those in need of an AI-powered ad manager.

Share card

Actual performance

33reviews
Did not reach leaderboard

Traction signals

Rating4.1 / 5
Purchases174

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: friendly, interface, overall rating · Missing: plus, platform, intuitive
86%86% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
39%39% 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
23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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