Facebook Ads Benchmarks by Superads
Product HuntReal Facebook Ads data, sourced from $2B+ in ad spend
Share cardActual performance
32upvotes
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fa
Facebook Ads Targeting 10138%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook Ads Targeting 101
Hacker News2Facebook Ads Targeting 10165%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Video Webinar on Facebook Ads Targeting in Depth
Indie Hackers2$50/moadvertisingHa
Has my Facebook data been leaked?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Has my Facebook data been leaked?
Hacker News14In
Interactively View, Categorize, and Tabulate the Russian Facebook Ads54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interactively View, Categorize, and Tabulate the Russian Facebook Ads
Hacker News3Fi
Find hidden interests in Facebook Ads targeting27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find hidden interests in Facebook Ads targeting
Hacker News2WH
WHOIS for Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WHOIS for Facebook
Hacker News1Fa
Facebook + Moustaches = Facetache44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook + Moustaches = Facetache
Hacker News10Fa
Facebook stockvalue (prettified)44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Facebook stockvalue (prettified)
Hacker News26Bo
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.
Hacker News1
Facebook41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I founded facebook in july 2018
TrustMRRSocial Media