Free Embeddable Churn Calculator Widget

Add a real-time SaaS churn cost calculator to your blog, startup site, or dashboard. One line of code. No signup. No watermark.

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Embed Code — One Line

Copy this and paste it anywhere in your HTML:

<iframe src="https://churnlens.site/free/churn-calculator?embed=1" width="100%" height="500" frameborder="0" style="border-radius:8px" title="SaaS Churn Calculator by ChurnLens"></iframe>

WordPress Shortcode

[iframe src="https://churnlens.site/free/churn-calculator?embed=1" width="100%" height="500"]

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If you embed the widget, a link back to ChurnLens helps us reach more SaaS buyers:

<a href="https://churnlens.site">Powered by ChurnLens — SaaS Due Diligence</a>

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Methodology: how this free embeddable churn calculator widget works

This free free embeddable churn calculator widget tool gives you a quick, no-signup assessment based on the inputs you provide. The methodology behind it is the same one ChurnLens uses in full buyer-side due diligence, just applied to summary inputs rather than a complete revenue ledger. The output is directional — it tells you whether the numbers you have suggest a healthy business or one with structural churn risk — and it is designed to be conservative, erring on the side of flagging potential problems.

The limitation of any summary-input tool is that it cannot detect the patterns that only emerge from customer-level data: zombie accounts, cohort decay curves, concentration in specific logos, and renewal-cliff timing. Those require the full monthly MRR-by-customer ledger that ChurnLens's paid analysis ingests. Use this free tool as a first-pass screen; if it flags anything concerning, the next step is to upload the full ledger for the complete reconstruction.

The formulas and benchmarks used here are transparent and documented across the ChurnLens learn hub. There is no black box — the goal is to give you the same arithmetic a buyer's diligence team would run, in a format you can use immediately.

80%
Overpay for Churn
4.2×
Real vs Reported
$340K
Avg Overpayment
23
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