Create A/B tests by chatting with AI and launch them on your website within minutes.

Try it for FREE now

Start Time To Variant

Quick answer

Start Time To Variant (STTV) is a performance metric that measures the elapsed time from when a page begins loading until the A/B testing variant is fully applied and visible to the user.

Key takeaways

  • Start Time To Variant connects experimentation quality with site speed and visitor experience.
  • Slow variant delivery can bias results and reduce conversions across all test groups.
  • Performance should be checked during QA and monitored after experiments go live.

Definition

Start Time To Variant (STTV) is a performance metric that measures the elapsed time from when a page begins loading until the A/B testing variant is fully applied and visible to the user.

What Start Time To Variant means in A/B testing

STTV captures the delay caused by A/B testing tools that must first load, execute JavaScript, determine which variant to show, and then modify the page accordingly. This metric is critical for client-side testing tools where variations are applied after the initial page load. Lower STTV values indicate faster variant delivery and reduced flickering or layout shifts.

Why Start Time To Variant matters

High STTV can cause flickering effects where users briefly see the original content before the variant loads, damaging user experience and potentially skewing test results. This delay can also negatively impact conversion rates independent of the actual variant being tested. Optimizing STTV ensures that performance issues don't mask the true impact of your experimental changes.

Example of Start Time To Variant

A SaaS company discovers their A/B testing tool has an STTV of 800ms, causing noticeable flicker on their homepage. After implementing server-side testing, they reduce STTV to under 50ms and see a 3% overall conversion increase across all variants.

How to use Start Time To Variant

Use Start Time To Variant as a guardrail when QAing experiments. Check it on mobile and desktop, monitor it after launch, and treat major slowdowns as a reason to simplify the variant or move heavier work out of the critical rendering path.

Common mistake

A common mistake is optimizing the variant message while ignoring whether Start Time To Variant made the experience slower. If a test harms page speed, the result may reflect performance friction rather than the quality of the idea.

Related A/B testing terms

FAQ

What does start time to variant mean in A/B testing?

Start Time To Variant (STTV) is a performance metric that measures the elapsed time from when a page begins loading until the A/B testing variant is fully applied and visible to the user.

Why does start time to variant matter for experiments?

High STTV can cause flickering effects where users briefly see the original content before the variant loads, damaging user experience and potentially skewing test results. This delay can also negatively impact conversion rates independent of the actual variant being tested. Optimizing STTV ensures that performance issues don't mask the true impact of your experimental changes.

How should teams use start time to variant in an experiment?

Use Start Time To Variant as a guardrail when QAing experiments. Check it on mobile and desktop, monitor it after launch, and treat major slowdowns as a reason to simplify the variant or move heavier work out of the critical rendering path.

Download our free 100 point Ecommerce CRO Checklist

This comprehensive checklist covers all critical pages, from homepage to checkout, giving you actionable steps to boost sales and revenue.