Here is how I measure time to value with new customers.
In short: Time to value (TTV) is the number of days between the moment a customer commits to your product and the moment they first get the result they bought it for. To measure time to value, pick one value milestone you can see in your data and calculate TTV = milestone date − contract start date for each account. Report the median per start cohort, together with the share of the cohort that reached value inside your target window.
Slow TTV is one of the earliest risk signals, so it belongs in your customer health score long before a renewal is in doubt.
This is Part 1 of The Customer Onboarding Playbook, a six-part series on getting new B2B customers to value and keeping them past the first 90 days.
What is time to value in B2B SaaS?
Time to value is the gap between paying and benefiting. It is not the same as finishing onboarding. A checklist can be complete while the customer still has nothing to show for the money.
There are two versions worth knowing:
- Time to first value: the first real outcome, such as the first workflow running in production. Start here.
- Time to full value: the purchased use case at the purchased scale. It matters later, mostly for large contracts.
How do you calculate time to value?
TTV (days) = first value milestone date − contract start date
Share at value within target = accounts reaching the milestone within the target window
÷ accounts in the cohort × 100
contract start date = contract signature or subscription start
first value milestone = one event per product that your system records
target window = the number of days you expect a healthy account to need
cohort = all accounts whose contract started in the same month or quarter
Report the median TTV, not the average. A few slow enterprise accounts pull the average up and hide what a typical customer experiences.
Free download
Get the customer success plan template
A one-page plan covering outcomes, success measures, stakeholders, cadence and risk signals.
The download button appears here right away; nothing is sent to your inbox. Your email also joins Clarivoxx Insights (a weekly article and a monthly newsletter). Unsubscribe in one click. Privacy
Which start date and value milestone should you use?
Agreeing on the two dates is the hard part.
- Start date. Use contract signature or subscription start, not the kickoff call. If the clock starts at kickoff, you hide the days between closing the deal and meeting the customer, and that is often where the delay sits.
- Value milestone. Choose one event per product that your system can detect, such as "first data sync done and first dashboard viewed by three or more users." Avoid milestones that depend on someone ticking a box.
- Accounts not there yet. They are not zero and not missing. List them as "not yet at value" with their age in days.
What does a worked time to value example look like?
Say you onboarded 40 new accounts in one quarter. The milestone is "first automated workflow running in production" and the target window is 45 days from contract start.
| Measure | Result |
|---|---|
| Reached the milestone | 34 of 40 |
| Reached it within 45 days | 26 |
| Not yet at value | 6, aged 50 to 80 days |
| Median TTV of the 34 | 34 days |
| Share at value within target | 26 ÷ 40 × 100 = 65% |
The denominator is the full cohort of 40. Dividing by 34 would give 76% and quietly drop the accounts that are stuck.
One quarter of onboarding in four numbers
TTV = date of first value milestone − contract start date. Share at value within target = 26 accounts ÷ 40 accounts in the cohort × 100 = 65%. Dividing by the 34 accounts at value instead would overstate it at 76%.
Look at the six accounts not yet at value first. Feed their age into your health score calculator as a risk input, and see the customer health score formula for how to weight it.

Why split TTV by segment and by stage?
One median hides the pattern. Split the cohort by segment first.
Enterprise accounts take the longest to reach value
Compare each segment with its own target window, not with the overall median.
Self-serve and SMB accounts often reach value in two or three weeks, enterprise accounts in close to two months. That is normal, as long as each segment moves toward its own target.
Then break TTV into stages: contract to kickoff, kickoff to technical setup, setup to first use, first use to milestone. The longest stage is rarely the one you expect. A customer onboarding checklist with a date and an owner on each step makes the gaps visible.
How can you shorten time to value?
- Act on signature. Send the welcome email, kickoff invite and technical prerequisites within one business day.
- Agree on the milestone with the customer. Write it into a shared customer success plan with a target date both sides can see.
- Front-load setup. Collect credentials and data samples before kickoff.
- Aim for one quick win. Get one team working end to end before rolling out to everyone.
- Review stalled accounts every week. Any account past 75% of its target window without value gets a named owner and a next step.
Who owns each lever that shortens time to value
Keep TTV next to your other customer success metrics, so a faster onboarding does not hide shallow use.

What I've seen in practice
I learned the difference between "onboarded" and "at value" on a partner onboarding in travel tech. Our checklist showed complete after two weeks: account created, training done, credentials sent. The partner made its first live booking almost two months later. On our side the job was finished. The partner was still waiting for the result it had paid for. Since then I start the clock at signature and stop it at a live outcome, never at a training session.
On another team I worked with, the longest stage was not setup at all. It was the eight to ten days between signature and kickoff, simply because nobody owned sending the invitation. Giving that step one owner and a one-day deadline was the cheapest TTV gain we ever made.
A time to value dashboard by cohort
I report TTV once per start cohort and compare it with the cohort before. These are the example's numbers.
| Metric | Target | This quarter | Last quarter | Change |
|---|---|---|---|---|
| Median TTV | 30 days | 34 days | 38 days | −4 days |
| Share at value in 45 days | 80% | 65% | 61% | +4 pts |
| Not yet at value | 0 | 6 | 7 | −1 |
| Signature to kickoff | 5 days | 9 days | 10 days | −1 day |
| Enterprise median TTV | 50 days | 58 days | 61 days | −3 days |
| Self-serve median TTV | 10 days | 14 days | 15 days | −1 day |
The not-yet-at-value row comes first. Six accounts means six names, each with an owner and a next step, before anyone discusses the median.
What to do this week
Write down one value milestone for your main product, pull the start and milestone dates for last quarter's new accounts, and calculate the median and the share at value within target. List the accounts not yet at value and give each one an owner.
Frequently asked questions
What is a good time to value?
There is no shared benchmark worth copying, because value milestones differ by product. Set the target from your own baseline: measure two or three cohorts, then aim a few days faster for each segment.
Should I use the average or the median TTV?
The median. TTV data is skewed by a few slow accounts, and the average moves with them. Report the median plus the share at value within target.
When should the TTV clock start?
At contract signature or subscription start. Starting at kickoff hides the wait between the deal and the first meeting, which is often the easiest delay to remove.
How is time to value different from onboarding completion?
Onboarding completion tracks your tasks. Time to value tracks the customer's result. A customer can finish every onboarding step and still not be at value.
Sources
- What's Time to Value (TTV) and How Do You Calculate It?, Vitally: defining value and the start and end points.
- Customer onboarding, Pendo: onboarding steps and the metrics, including time to value, used to track them.
Read next
How to Track Customer Onboarding KPIs
The seven customer onboarding metrics that show whether new accounts start fast and stay, each with a formula and one cohort example.
Read the article
Go further with the ebook
The Professional Customer Support Playbook
Better replies, fewer escalations, a clear path from agent to leader.
$19.99 · 103 pages · View the book
