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Why A/B Test Pricing Tables

Small changes can have huge impacts:

Data from actual WP Pricing Tables customers.

What to Test

High-Impact Tests

  1. Highlighted tier: Which plan to feature
  2. Default billing: Monthly vs annual
  3. Button text: 'Buy Now' vs 'Start Free Trial' vs 'Get Started'
  4. Number of tiers: 2 vs 3 vs 4 options
  5. Pricing amounts: $29 vs $25 vs $30

Medium-Impact Tests

Lower-Impact Tests

💡 Start High-Impact: Test elements that directly affect decision-making first. Perfect the conversion drivers before optimizing aesthetics.

Setting Up A/B Tests

1 Create Variant Tables

  1. Duplicate your existing table
  2. Change ONE element only
  3. Name clearly: 'Pricing V1 - Monthly Default' vs 'Pricing V2 - Annual Default'

2 Split Traffic

Use a plugin like:

3 Define Success Metrics

Running Tests

Traffic Requirements

Minimum for statistical significance:

Test Duration

Statistical Significance

Don't declare winner until 95% confidence level reached. Use calculator: https://neilpatel.com/ab-testing-calculator/

Common Test Scenarios

Test: Annual Pricing Emphasis

Control: Monthly billing default
Variant: Annual billing default with 'Save 20%' badge

Typical Result: 40-60% increase in annual plan selections

Test: Recommended Tier

Control: Middle tier highlighted
Variant: Highest tier highlighted

Typical Result: 15-25% increase in total revenue (higher tier = more money)

Test: Free Trial vs Buy Now

Control: 'Buy Now' CTA
Variant: 'Start Free Trial' CTA

Typical Result: 2-3x more trial starts, but lower conversion to paid (test end-to-end ROI!)