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Technical Guide

Novelty Effect and Primacy Effect in A/B Tests

Updated December 2026
12 min read
TL;DR

Novelty effect: New designs perform better initially due to curiosity (fades in 1-2 weeks). Primacy effect: Original designs perform better because users are habituated (also fades in 1-2 weeks). Solution: Run tests for 3-4 weeks minimum and segment new vs returning users to detect these biases.

The Two Effects

Novelty Effect

New design performs better initially because users are curious

Duration: 1-2 weeksRun tests longer (3-4 weeks minimum)

Primacy Effect

Original design performs better because users are used to it

Duration: 1-2 weeksRun tests longer, segment by new vs returning

Real Example

Scenario: You redesign your homepage with a bold new layout.

Week 1:+15% conversion(novelty effect: users curious about new design)
Week 2:+8% conversion(novelty fading)
Week 3:+2% conversion(true effect)
Week 4:+1% conversion(stabilized)

If you stopped after week 1: You'd think you had a 15% winner. Reality: 1-2% improvement.

How to Detect These Effects

Performance changes over time

Variant wins week 1, loses week 3

Different results for new vs returning

New users love it, returning users hate it

Engagement drops after initial spike

High initial engagement that fades

Prevention Strategies

Minimum Test Duration

To account for novelty and primacy effects:

  • Minimum 2 weeks for any test
  • 3-4 weeks for major redesigns (high novelty potential)
  • Segment by new vs returning to see if effects differ
  • Watch week-over-week trends for stabilization

Run Valid Tests

ExperimentHQ tracks your results over time so you can spot novelty/primacy effects. Run tests long enough to get true results.

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