Applysis

Analyse mobile app reviews efficiently, in minutes

20 followers

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Applysis is a data analytics tool, helping businesses owning mobile applications to analyse customer reviews efficiently, in a matter of minutes. With the help of AI we detect concrete problems and most requested features.
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Launch tags:Web Appā€¢Analyticsā€¢SaaS
Launch Team
Anima - OnBrand Vibe Coding
Design-aware AI for modern product teams.
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What do you think? ā€¦

Marie Jaksman
As a marketer I constantly need to be in sync with our end users. What they think and use our product. How is the latest feature received and what are the pain points to tackle next. Really convenient to collect the feedback in seconds! My favourite part is the auto translation the non English reviews! Definitely a game changer for us! Good luck!
Shalva Avanashvili
Maker
@marie_jaksman thank you for sharing your angle how Applysis can help you. We are more than happy to assist you on your daily pain points! šŸ‘
Shalva Avanashvili
Maker
Hi PH, Shalva from Applysis team here. Applysis helps businesses owning mobile applications to analyse customer reviews efficiently, in a matter of minutes. We have analysed 5.5 million reviews already which makes us really proud! With the help of AI we: * detect concrete bugs and most requested features. * measure how positively your users are feeling. * auto translate non-english reviews to finally forget google translate. * reply to reviews. * show ratings distribution for different countries and app versions. * collect all user reviews in one, single and dedicated platform. You can monitor & empower your app performance, monitor new releases and check how your users reacted on that. Applysis promises that each of your customers voice reaches you and you always understand them. šŸ™ We would love to get some feedback and I am happy to answer your questions!
Nino Obgaidze
The idea seems quite useful for analyzing customer reviews. Also, it is interesting how AI can detect problems in different languages other than English.
Shalva Avanashvili
Maker
@nino_obgaidze thank you for your comment! We are using AWS neural translate services which gives us the opportunity to detect issues with almost same precision as english reviews šŸ‘
Daniel Racz
Hi @shalva_avanashvili! Nice idea. Who are your target customers, in terms of who would you recommend it for? Well-established e.g. game apps or apps that were just recently launched? And why?
Shalva Avanashvili
Maker
@dr_dani thank you for your comment! We target medium sized companies and ideal user is Product Owner from the mobile team. But Applysis can be used for analysing competitors, so early stage startups can use it as well.
Kristian SƤgi
Codemagic
Great product and idea, I know how much team of Applysis has worked and how they will treat each customers' voice/review. Good luck guys! šŸ‘Œ
Shalva Avanashvili
Maker
thank you @kristiansagi, your effort in building Applysis is great and much appreciated šŸ‘
James Simmons
Looks cool -- best of luck with your launch! What sort of volume (downloads, active users, etc.) does one need for this type of platform and analysis to start producing meaningful data? I assume the sample size needs to be large enough to get interesting... and if you've got ratings and reviews trickling in at a rate of a few a week there just may not be enough data?
Shalva Avanashvili
Maker
Hey @james_simmons, thanks for the very interesting question! šŸ‘ You are right, more data we have, better results we provide. And it is more about number of reviews and its quality, rather than downloads or users. We can provide meaningful data starting from 150-200 reviews, but one can always analyse competitor and remain competitive on the market. šŸ‘
James Simmons
@shalva_avanashvili Ah... analyzing competitors is a cool angle that I hadn't though of. Thanks! We're getting to the "meaningful data" range, will certainly check it out!
Shalva Avanashvili
Maker
Sure @james_simmons, let me if you need any assistance, I will be happy to help šŸ‘
Giorgi
Seems very useful all in one tool for any company that don't want to spend much time and human resource to analyze all the reviews they receive. The fact that it can also detect potential bugs is amazing. Good Luck ;)
Shalva Avanashvili
Maker
@purplehaze thank you for sharing your thoughts!
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