Client concentration strip
Paste monthly revenue by client and read the share each one holds, with the months your biggest account crossed a third of the total.
1 · Paste monthly revenue by client
FIRST-LOAD
Data note: Everything runs in this browser tab on the concentration strip: your revenue lines by client and month stays on this device, nothing is uploaded, and the reading is rebuilt only when you press run.
Perspective: Before: the reader knew one client was large. After: they can see that client was 58% of revenue in four of the last six months.
2 · Read the concentration strip
Paid layer: the revenue file
one-time step · the free reading above stays complete
Free tier
- one complete strip
- share per client per month
- state link for an accountant
What $9 one-time adds
- twelve months kept on this device
- printable concentration summary with the crossing months
- CSV of client, month, amount, share
Losing a client worth 40% of revenue costs months of pipeline; the comparable it undercuts is bookkeeping software at $25–$70 a month that reports totals, not concentration.
Local history (this device)
- No saved runs yet — your first run files here.
Your purchase is handled through secure checkout. When you return, your extras are ready on this device — no account, no fuss, and your work stays private in this browser.
Boundary and sources
This concentration strip works only on the revenue lines by client and month you paste you paste. It does not audit your accounts, does not advise on selling or diversifying the business, and does not report to your accountant in your place. The figures describe what you supplied, not what is true in the world. Confirm anything you plan to act on with your accountant before making a hiring or borrowing decision before you rely on it.
- Every figure comes from the revenue lines by client and month you paste you paste; nothing is looked up, scraped or asserted as verified.
- Method: share = client amount ÷ month total, with the largest share per month plotted as the segment height
- Sample values are labelled samples — illustrative by design, not your data and not a quotation of any organisation's policy.
Mechanism: loss-aversion-threat-salience