datary
Collects anonymous customer feedback via four-question surveys displayed at point-of-sale, delivering written insights on why customers leave.
≈ 3visits/mo
Emerging · estimate, read 2026-09-18
- For
- Business owners in service trades collecting customer feedback at point of sale
- Price
- Price not read
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- Runs as
- No-code
- collect anonymous customer feedback in twenty seconds
- identify why customers choose competitors instead
- discover service improvements from honest customer responses
- #3
Rippling
Manages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.
704knot readContact sales2016 - #4
GrowthBook
Runs A/B tests, manages feature flags, and analyzes product data from your data warehouse.
34.8kActiveFrom $40/user/mo2020 - #5
Thomson Reuters Checkpoint Edge with CoCounsel AI
Integrates legal research, analysis and drafting with AI grounded in legal content and case law.
3Mnot readContact sales2008 - #6
Inspectlet
Records visitor sessions and heatmaps to show how users interact with websites.
3.5kMaintainedFrom $39/mo - #7
Databox
Connects business data and metrics to AI agents that analyze performance, generate reports, and automate recurring analysis workflows.
58.7kActiveFrom $71/user/mo2012 - #8
ThoughtSpot
Builds analytics agents and dashboards that answer business questions from company data using natural language.
231knot readFrom $25/user/mo2012
What is datary?
Collects anonymous customer feedback via four-question surveys displayed at point-of-sale, delivering written insights on why customers leave.
Who is datary for?
Business owners in service trades collecting customer feedback at point of sale
Do people use datary?
Emerging: ≈ 3 visits a month · estimate, 2026-09.
Is datary still maintained?
Actively maintained.
What are alternatives to datary?
In Analytics, by use: Rippling, GrowthBook, Thomson Reuters Checkpoint Edge with CoCounsel AI, Inspectlet, Databox, ThoughtSpot.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.