Expert Answer • 2 min read

What is my minimum detectable effect for typical traffic levels?

As an e-commerce business owner, I'm trying to understand the statistical significance of my conversion rate optimization (CRO) experiments. I need clarity on what minimum detectable effect (MDE) I can reliably measure given my current website traffic levels. Without understanding this, I might run A/B tests that are underpowered or inconclusive, wasting time and potentially making misguided decisions about my store's design and conversion strategies.
Muhammed Tüfekyapan

Muhammed Tüfekyapan

Founder & CEO

2 min

TL;DR - Quick Answer

Minimum detectable effect (MDE) at 80% power and 95% confidence typically requires 1,000-2,000 sessions per variant to detect a 10-15% lift. Smaller lifts require proportionally more traffic - detecting a 5% improvement requires 4x the traffic of a 10% improvement.

Complete Expert Analysis

What Is My Minimum Detectable Effect for Typical Traffic Levels?

Minimum Detectable Effect (MDE) is the smallest conversion rate improvement your test can reliably detect given your traffic volume. If your MDE is 15% but your actual improvement is 8%, you'll falsely conclude "no winner found" and miss a real gain. Understanding your MDE before running tests prevents you from making the wrong decisions from inconclusive data.

MDE by Traffic Level and Confidence Requirements

Monthly Sessions Test Duration MDE (95% confidence) Practical Impact
1,0008-12 weeks~30%+ lift detectableOnly big changes detectable
3,0004-6 weeks~20% lift detectableModerate improvements only
10,0002-3 weeks~12% lift detectableUseful range
30,0001-2 weeks~7% lift detectableGood sensitivity
100,000+Days~3-5% lift detectableExcellent sensitivity

What This Means for Small-Traffic Stores

If your monthly sessions are under 5,000, traditional A/B testing has limited applicability. Focus instead on:

  • -Big, bold tests only: Test changes that could realistically produce 25%+ lifts (complete page redesigns, major offer changes)
  • -Qualitative research: User interviews, session recordings, and heatmaps give richer insights than underpowered A/B tests
  • -Sequential testing: Implement changes, measure for 30 days, compare to previous period - less rigorous but actionable
  • -Bayesian testing tools: Tools like VWO's Bayesian calculator can give directional results with less traffic than frequentist tests
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Muhammed Tüfekyapan

Muhammed Tüfekyapan

Founder & CEO of Growth Suite

With over a decade of experience in e-commerce optimization, Muhammed founded Growth Suite to help Shopify merchants maximize their conversion rates through intelligent behavior tracking and personalized offers. His expertise in growth strategies and conversion optimization has helped thousands of online stores increase their revenue.

E-commerce Expert Shopify Partner Growth Strategist

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