Days To Go Live
Average number of calendar days between contract signature and customer activation (first billable use).
◆ Days
Formula
What it measures
For each customer with a completed activation in the period, count the calendar days from contract signature date to the date the customer first begins paying (or agreed start date, if that precedes first billing). Sum these durations and divide by the number of activated customers to get the average.
Why it matters
Days to Go Live is the operational heartbeat of customer success. Long activation windows tie up deployment resources, delay revenue recognition, increase buyer's remorse risk, and lower NPS. Shorter times free up resources, reduce friction, and set customers up for success faster. Watch it to diagnose whether implementation is a bottleneck to growth.
How to read it
Track DTGL month-over-month and quarter-over-quarter. A rising trend means your onboarding process is slowing — investigate root cause (team size, complexity, training gaps, technical blockers). A falling trend is a green flag: you're becoming more efficient. Compare your DTGL across customer segments (by size, industry, product) — if enterprise customers take 40 days and SMB take 8, it's a signal to either invest in enterprise playbooks or pre-sell with realistic expectations. Always segment by cohort: new customers often activate slower than expansion deals.
What good looks like
Good
DTGL under 15 days — customer implementation is swift, suggesting smooth onboarding and capable deployment resources.
Watch
DTGL 15–30 days — implementation takes a month or more; watch for bottlenecks in setup, training, or resource allocation.
Bad
DTGL above 30 days — activation takes over a month, indicating painful onboarding, understaffed implementation, or complex customer environments.
Watch-outs
- Including same-day or instant activations as zero days. Some customers may activate on signature date (e.g., self-serve signup); these are valid DTGL=0, but don't use them to mask slow implementations for others. Segment and report median *and* mean.
- Using different definitions of 'activation' across teams. Finance counts first billing; Product counts first feature access; Success counts 'customer ready to use.' Align all teams on a single definition (typically first billable date) before calculating.
- Ignoring customer size or type in aggregate reporting. Enterprise implementations naturally take longer; reporting a blended average hides whether SMB onboarding is degrading. Always break DTGL by segment (product tier, region, customer size, use case).
- Counting only 'successful' activations. If 5% of contracts never activate, exclude them and report only completed activations, or DTGL will artificially drop when you fail to onboard customers at all.
Worked example
Hypothetical
You activate 10 customers in June. Five took 8 days each to go live, three took 15 days each, and two took 22 days each. Average = (5×8 + 3×15 + 2×22) ÷ 10 = (40 + 45 + 44) ÷ 10 = 129 ÷ 10 = 12.9 days.
Variants & windows
The same metric re-expressed by a mechanical transform — a trailing window, a growth rate, a per-unit scaling, or a book/segment cut. Each is computed from Days To Go Live above.
- Total Days To Go Live Customers Alternate cut of the parent metric