K3N8HClient Retention Insights
Feed it a client roster CSV, get a churn chart and a plain-English write-up.
K3N8H Verified
- ✓ Real preview shipped
- ✓ License terms specified
- ✓ Setup/usage instructions included
- ✓ Actually run before listing
- ✓ Stated limitations verified
Takes a client roster CSV (program, status, start/end dates), computes churn rate and average tenure per program, and produces a chart plus a written summary of which program is retaining clients best.
Runs where you work
Built for a private workflow: local-first execution, no forced cloud dependency, and a clear path to use it on a laptop or phone without an API key.
Included value
Each product is designed to feel personal, useful, and complete without turning your work into an external dependency.
Free tools that go with this
These run in your browser, need no account, and keep what they remember on your own device.
Preview
Open full preview →Client Retention Insights
1 image
Real chart generated by running the script against the bundled sample-clients.csv.
What's included
- retention_insights.py + requirements.txt
- sample-clients.csv
- retention_chart.png (real generated chart)
- example-insights.md (real generated write-up)
- README.md with stated input/output limits
Built with
Runs locally with Python 3: no accounts, API keys or internet needed
See example-insights.md and retention_chart.png — both generated by actually running retention_insights.py against sample-clients.csv.
License & pricing
Try it before you buy. The preview above is the real product, not a mockup.
Personal License
$16
For your own work or your own business. No client work, and no resale or redistribution of the files.
Commercial License
$40
Use across client work or resell the output. No reselling the source files/template itself.
Refund terms are set per product, and checkout through Whop or Gumroad has its own buyer protection. Questions before you buy? Ask in the chat or on the feedback page; we'll help where we can.
Data Analyst Bots — publishing standard
- Required deliverables: Sample dataset, Example output, Setup instructions, Stated input/output limits
- Disclaimer required
- README required
- Proof-it-runs evidence required
No fabricated capabilities. State real limits on input size/format and output types.
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