The Analytics tab on the Contracts page answers how quickly contracts get signed, how many don't, and what's sitting unsigned.
Choosing a period
A date range selector at the top drives everything on the page. Export CSV downloads the underlying data.
With no contracts in the period you get No Analytics Data rather than empty charts.
The four numbers
| Metric | What it means |
|---|---|
| Total Contracts Sent | How many went out in the period |
| Signature Rate | The share of those that came back signed |
| Avg Time to Sign | Days between sending and signature |
| Pipeline Value | The total value of contracts in play |
Avg Time to Sign is the most actionable of the four. It's the number that tells you whether your follow-up is working, and it moves quickly when you change something.
The charts
Signature Funnel — sent, then viewed, then signed. Where the drop happens tells you what to fix: a gap between sent and viewed is an email problem, a gap between viewed and signed is a terms problem.
Revenue Pipeline — signed value against pending value.
Signature Trends — sent and signed over time, which shows your season.
Expiration Health — how many were signed before expiring, how many expired unsigned, and what's expiring soon.
Amendments
If you use amendments, four more cards appear: Original Contracts, Total Amendments with an amendment rate, Addendums and Revisions.
A high amendment rate usually says something about the original contract rather than about your couples — a term that keeps needing changing is a term worth rewriting in the template.
Tip: Read Signature Rate and Avg Time to Sign together. A high rate with a slow average means you're winning the business but carrying weeks of uncertainty on every booking, which is a different problem from losing deals outright — and a cheaper one to fix.
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