nsight

Stop guessing what users think about any app

AnalyticsLive
Visit site ↗In the record since 53d ago
Price
€11 · yes
Free tier
free up to a limit · yes
AI
core to the product

Stop guessing what users think about any appits own headline

4 contact fields stay closed. Everything it says about itself is open; how to reach it needs an account. Open them →

What it costs4

MOST POPULAR PRO Monthly Annual SAVE 20% €11 /mo
Price€11Monthly
ENTERPRISE Custom Tailored to your organization
Contact sales
FREE €0 Free forever
Free planFree plan typefree up to a limit
€134/yr · billed annually
Yearly

How it runs4

AI reports are deep-dive analyses generated from your app reviews.
AI rolecore to the product
API access & data export (available on request)
API
Slack & Teams integration (available on request)
Distributed viaSlack
Sign in Get started
Cloud hosted

Where it puts itself1

…nsight vs AppBot
Alternative toAppBot

Who it says it is for2

For teams and organizations that need custom limits, SSO, and integrations.
For enterprise
Product Managers Prioritize the roadmap
Made forProduct Managers

What it names7

App Store iOS reviews & ratings
AnalyzesApp Store
Play Store Android reviews & ratings
AnalyzesPlay Store
Slack & Teams integration (available on request)
Integrates withSlack · Teams
App Store
NamesApp Store
Play Store
NamesPlay Store
Slack
NamesSlack
Teams
NamesTeams

What it calls itself1

…nsight — App Review Intelligence
Calls itselfApp Review Intelligence

What you can take with you1

PDF export
Data export

How to reach it1

I built nsight for anyone who needs to know what an app's users really think
Voice“I”

About

Every app on the App & Play stores has thousands of reviews behind it. Most of them no one will ever read. Buried in there is the complaint that keeps costing installs, the feature people quietly love, and the moment a rating starts slipping. nsight reads through them for you. Point it at your app, or competitors, and it pulls the latest reviews from both stores and hands back a report you'll actually use: net sentiment, the complaints that keep recurring, the strongest features, the personas behind the ratings, and a prioritized list of what to fix first. Run two apps side by side and you get the same read on both. Then Pulse keeps watching. When a rating drops or sentiment turns, you get an alarm, so you hear about it the week it happens, not a month later when the damage is done. I built nsight for anyone who needs to know what an app's users really think, how their competitors are performing, and what really lies behind the fancy screens and moodboards when product decisions have to be made.

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