How Strategic Cart Thresholds Drove £25,535 Additional Monthly Revenue With One CRO Split Test

How Strategic Thresholds Drove £25,535 Additional Monthly Revenue

Executive Summary

A three-week A/B test implementing a multi-tier cart threshold strategy generated significant improvements across all key metrics:

  • 📈 7.46% increase in conversion rate
  • 💰 12.23% increase in revenue per visitor
  • 🛒 £2.37 increase in AOV (£53.33 to £55.70)
  • 💸 Projected £25,535 additional monthly revenue

 

Test Overview

Duration: 3 Weeks
Total Traffic: 69,359 visitors
Total Orders: 2,542
Statistical Confidence: 97%
Statistical Power: 80%+

Control vs. Test Performance

Control Group:
- Visitors: 34,732
- Orders: 1,223 - CVR: 3.54%
- Revenue per Visitor: £1.89
- AOV: £53.33 Test Group:
- Visitors: 34,794
- Orders: 1,319
- CVR: 3.80%
- Revenue per Visitor: £2.12
- AOV: £55.70

The Challenge

  • High dependency on margin-eroding discounts
  • Low average order value
  • Constant promotional activity affecting profitability
  • Internal resistance to strategic changes

The Solution - Tiered Cart Threshold Strategy

Implementation Structure

  1. £70 Threshold
    • Incentive: Free Shipping
    • Purpose: Entry-level conversion driver
  2. £80 Threshold
    • Incentive: Free Gift #1
    • Purpose: Mid-tier value addition
  3. £85 Threshold
    • Incentive: Free Gift #2
    • Purpose: Premium tier conversion

Key Strategy Elements

  • Low COGS on incentive items
  • High perceived value vs. actual cost
  • Strategic threshold spacing
  • Clear value communication

Results Breakdown

Monthly Impact Projections

  • Additional Orders: +292
  • Revenue Increase: £25,535
  • Net Profit: £20,000+ (after COGS, shipping, picking & packing)

Performance Metrics For NEW CUSTOMER Acquisition

  1. Conversion Rate:
    • Control: 3.54%
    • Test: 3.80%
    • Lift: 7.46%
  2. Revenue per Visitor:
    • Control: £1.89
    • Test: £2.12
    • Lift: 12.23%
  3. Average Order Value:
    • Control: £53.33
    • Test: £55.70
    • Increase: £2.37

Statistical Validity

  • Sample Size: 30,000+ visitors per variant
  • Confidence Level: 97%
  • False Positive Risk: <3%
  • Test Duration: Covered multiple business cycles
  • Traffic Distribution: Even split between variants

Business Impact Analysis

Monthly Projections:
Revenue Increase: £25,535
COGS + Shipping + Fulfillment: -£5,535 (est.)
Net Profit Increase: £20,000+ Annual
Projection annually of pure profit: £240,000+

Key Learnings

What Worked

  1. Multiple threshold levels created "climbing" behavior
  2. High perceived value vs. actual cost ratio
  3. Free shipping as entry-level incentive
  4. Clear threshold communication

Strategic Implications

  1. Reduced discount dependency potential
  2. Established framework for future testing
  3. Validated value perception strategy
  4. Improved margins while increasing revenue

Implementation Notes

  • Initially faced internal resistance
  • Required strong conviction in testing approach
  • Proved value through data-driven results
  • Successfully implemented despite complex brand environment

Next Steps & Recommendations

Immediate Actions

  1. Roll out to all traffic
  2. Monitor threshold performance
  3. Analyze product mix at each threshold

Future Optimization

  1. Test seasonal threshold adjustments
  2. Explore premium tier options (£100+)
  3. Develop segment-specific thresholds
  4. Reduce overall discount dependency

Key Takeaways

  1. Data-Driven Decision Making: Statistical significance proved test validity
  2. Value Perception: High perceived value drives behavior more than actual cost
  3. Strategic Pricing: Thresholds can increase revenue without sacrificing margins
  4. Testing Conviction: Sometimes pushing against resistance leads to significant wins
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