How do you measure time to value?

Define a specific value moment, such as the first invoice sent or the first report shared, then record the time between each customer's signup and that event. Report the median for each signup cohort, plus the percentage of signups who reached it.

What is a good time to value?

It depends on the product. Simple self-serve tools often deliver value within minutes or the same day, while products that need integrations or team setup may take one to three weeks. A practical rule: your median TTV should be comfortably shorter than your trial.

What is the difference between time to value and activation?

Activation is whether a customer reaches the value moment; time to value is how long it takes them. Most teams track both - an activation rate and a median TTV - because each one can hide problems in the other.

How does time to value affect churn?

Customers who never reach value, or reach it slowly, are much more likely to cancel early. Shortening TTV typically improves trial conversion and reduces churn in the first few months.

How can I reduce time to value in onboarding?

Remove steps before the value moment, use templates or sample data so the first screen isn't empty, put the key integration first, and follow up with users who stall. Then check the effect on conversion and early churn.

What Is Time to Value (TTV)? Formula & Benchmarks

Q: What is time to value?

Time to value (TTV) is the time between a customer signing up and first getting real benefit from your product. It's usually reported as a median across new customers, alongside the share who reach that moment at all.

Time to value is the time between signup and a customer’s first real value moment - the first invoice sent, the first report shared. It is usually reported as a median per signup cohort, next to the share of signups who reach that moment at all.

Time to value (TTV) is how long it takes a new customer to get real benefit from your product - the gap between signing up and the moment they think "this is worth it". The shorter that gap, the more trials convert and the fewer new customers quietly leave in their first month.

It's less standardized than metrics like MRR or churn, because "value" means something different for every product. This page covers how to define it for your product, how to measure it, what a reasonable TTV looks like, and how to bring it down.

What Is Time to Value?

Time to value is the time between a customer starting with your product and reaching a defined value moment.

Time to Value = Date of first value moment − Date of signup

You usually report it as a median across a group of new customers, for example everyone who signed up in a given month:

Median TTV = Median of (value moment date − signup date) across customers who reached it

Alongside it, track the share of signups who reach the value moment at all. A short median TTV doesn't mean much if only a small share of people ever get there.

Picking the value moment

The value moment should be the first point where a customer gets the outcome they came for, not just the first click. Some examples:

A scheduling tool: the first meeting booked through the link.
An invoicing app: the first invoice sent and paid.
An analytics dashboard: the first time real data appears in a chart.
A team chat tool: the first conversation with a colleague.

A good value moment is specific, measurable from your own product events, and something customers who stay long term almost always reach early.

A Worked Example

A SaaS tool tracks 400 signups in March and defines the value moment as "first report shared with a teammate". By the end of April:

Result	Customers
Reached value within 1 day	90
Reached value in 2 - 7 days	110
Reached value in 8 - 30 days	60
Never reached value	140

Activation rate = (90 + 110 + 60) ÷ 400 = 65%
Median TTV (of the 260 who reached it) ≈ 4 days

Then compare with conversion. Suppose 45% of people who reached value in the first week went on to pay, compared with 15% of those who got there later and almost none of those who never got there. That's the case for shortening TTV in one table: the faster people get value, the more of them pay.

Why Time to Value Matters

It drives trial conversion. A 14-day trial is only useful if customers reach value inside those 14 days. If your median TTV is ten days, many trials expire before people see what they're paying for.

It predicts early churn. A lot of churn in the first 30 to 90 days traces back to customers who never got value in the first place. They paid, didn't get it working, and left at the first renewal.

It lowers acquisition cost in practice. Every signup that never reaches value is acquisition spend with no return. Converting more of the signups you already have is often cheaper than buying more.

It builds retention habits. Customers who get value early tend to come back, which feeds customer retention and longer lifetimes.

Time to Value Benchmarks

TTV depends heavily on what your product does, so there's no universal target. Rough ranges for how quickly the first value moment typically happens:

Product type	Rough TTV
Simple self-serve tools	Minutes to the same day
Self-serve tools that need setup or integrations	A few days to a week
Products that need data imported or a team invited	One to three weeks
Sales-led, implementation-heavy products	Weeks to months

These are rough conventions rather than published standards. The most useful benchmark is your own product: compare TTV across signup months, plans and acquisition channels, and check that it's shorter than your trial length.

How to Shorten Time to Value

Cut steps before the value moment. List every step a new user takes before they get value, then remove, defer or automate as many as you can. Optional profile fields and settings can wait.

Use sample data or templates. An empty dashboard shows nothing. Pre-filled examples or templates let people see the outcome before their own data is ready.

Make the first integration easy. If value depends on connecting another tool, put that step first and make it a one-click OAuth flow where you can.

Guide toward one outcome. Onboarding that tries to tour every feature slows everyone down. Pick the single action most linked to retention and steer new users there.

Follow up with people who stall. A short, specific email to users who signed up but didn't reach the value moment within a few days often recovers a meaningful share of them.

Match trial length to TTV. If most customers need ten days to reach value, a seven-day trial is working against you.

How to Track Time to Value

TTV needs two things: a signup date and a value moment. The value moment is a product event - a report shared, an invoice sent, a meeting booked - so it has to come from your own product analytics or database. Chartsy doesn't track in-product usage or onboarding events.

What Chartsy can provide is the revenue end of the journey. Its tracking script records signups and the traffic source behind them, and your billing data from Stripe, Paddle, Polar, Lemon Squeezy, Creem or Freemius shows when those customers start paying and whether they churn. That gives you a signup-to-paid view by month and channel - a useful check on whether changes that shorten TTV in your product analytics actually turn into more paying customers who stay.

Connect Stripe and see which signups turn into paying customers →