Abralytics

Abralytics

AppSumo

'Customers are all about Abralytics, praising its easy setup, affordable pricing, and white-labeling feature. There are a few hiccups like missing real-time tracking and limited analytics capabilities.

'Customers are all about Abralytics, praising its easy setup, affordable pricing, and white-labeling feature. There are a few hiccups like missing real-time tracking and limited analytics capabilities. Weighing the raves against the occasional grumbles, Abralytics is hitting the mark and is a solid buy for those in need of a cookieless, easy-to-use analytics solution. With an overall rating of 4.8 and a 60-day money-back guarantee, it's worth giving it a try.'

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Actual performance

8reviews
Did not reach leaderboard

Traction signals

Rating4.4 / 5
Purchases274

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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 · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: occasional, overall rating · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
34%34% 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
27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: time tracking · Missing: web3, chat, crypto
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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