Metric · 2 min read
Average time to conversion
Average Time to Conversion reveals how long it takes users to convert after their first interaction. Learn what it is, why it matters, how it’s calculated, and how to reduce it to accelerate growth.
Formula
Example. If five users took 1, 3, 5, 7, and 9 days respectively to convert, the Average Time to Conversion would be 5 days.
What it is
Average Time to Conversion is the average duration between a user’s first visit or interaction with your brand and their eventual conversion – such as making a purchase or submitting a lead form.
Why it matters
Average Time to Conversion helps you understand the length of your sales or marketing funnel. A shorter ATTC can signal effective messaging and a smoother user journey, while longer times may highlight friction or complex decision cycles.
How it is calculated
Average Time to Conversion is calculated by summing the total time taken for all conversions and dividing it by the number of conversions during a defined time period.
A good value
A good Average Time to Conversion depends on your industry and product complexity. For e-commerce, 1–3 days is ideal. For B2B, 1–2 weeks is common. Shorter times often reflect smoother experiences and more decisive users.
A bad value
A high Average Time to Conversion may suggest friction in your funnel – such as poor messaging, unclear CTAs, or lengthy approval cycles. It can also signal unqualified traffic.
Do
Use these strategies to shorten your Average Time to Conversion and improve funnel efficiency.
- 01
Improve lead nurturing
Use email automation and remarketing to guide users through the funnel faster with helpful, relevant content.
- 02
Streamline the user journey
Simplify navigation and eliminate unnecessary steps in your checkout or signup process to reduce delays.
- 03
Align ad messaging with landing pages
When users find what they expect immediately, they’re more likely to convert quickly. Ensure messaging consistency across touchpoints.
Avoid
Not tracking time to conversion by source, ignoring long wait times in your funnel, or sending cold traffic without education can all lead to inflated Average Time to Conversion.
Related metrics you might be interested in
Learn how teams ship analytics faster
Organizations that scaled analytics without scaling headcount
"For 10 years I was blind." The day Pürblack® founder stopped guessingSecondsto get reports across six channelsRead the story 
How OWOX Reports Helped Reformation Make Data-Backed DecisionsMinutesfrom data request to business decisionRead the story 
How OWOX Reports Streamlined Operations for WorkSimpli, Saving Over 10 Hours Weekly10hrs+saved per week on manual reportingRead the story Not testimonials. Comment threads.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“Golden data is clean data — the measure of reality, true and not false, that you can trust based on its source. If you have that, you're good.”
Nodari RizunFounder & CEO, Pürblack®“Most businesses look at a Shopify or Google Analytics dashboard and think it's the source of truth. It's not — that data was never cleaned.”
Calculate Average Time to Conversion on your own data.
OWOX Data Marts helps you track user journeys, identify friction points, and measure funnel delays – so you can optimize campaigns and reduce time to conversion.
- No AI hallucinations
- Analyst-governed definitions
- Every number traces to SQL