E-commerce Research

Cart Abandonment: Why 70% of Shoppers Never Complete Purchases

Detailed analysis of cart abandonment rates across devices, the real causes behind abandoned carts, and proven strategies to recover lost revenue

Research Methodology

How Baymard Institute quantified cart abandonment using multiple research methods

Research Approach

This analysis draws on research from the Baymard Institute, the leading authority on e-commerce checkout usability. Their work synthesises 49 independent studies to establish reliable benchmarks across the industry.

Research Framework

Baymard uses a multi-method approach: quantitative analytics from thousands of sites, surveys with real shoppers, and direct usability testing to understand why people abandon their carts.

Data Sources

  1. Aggregate Analytics: Abandonment rates from 49 studies across thousands of e-commerce sites
  2. User Surveys: Direct feedback from 8,000+ online shoppers about why they left without buying
  3. Usability Testing: Observations of 200+ people completing checkout flows, tracking where they struggled
  4. Device Analytics: Tracking abandonment patterns across mobile, tablet, and desktop to spot device-specific issues

Measurement Criteria

  • Cart Abandonment Rate: How many shopping sessions end without purchase after items are added to the cart
  • Device-Specific Rates: Separate abandonment tracking for mobile, tablet, and desktop users
  • Abandonment Reasons: Why shoppers leave, ranked by how often each reason was cited
  • Checkout Friction Points: Specific form fields, steps, and interactions that cause people to give up

Verified Cart Abandonment Statistics

Meta-analysis of 49 studies covering abandonment rates, device-specific behaviour, and primary causes

70.19%

Global Average Cart Abandonment Rate

HIGH Confidence
2024-11

Meta-analysis of 49 studies tracking cart abandonment across e-commerce sites globally. This represents the average abandonment rate across all devices and industries.

Methodology

Aggregate analysis of cart abandonment data from 49 different studies covering thousands of e-commerce websites. Data is weighted by study size and recency, and updated quarterly with the latest research.

85.65%

Mobile Cart Abandonment Rate

HIGH Confidence
2024-11

Mobile users abandon carts at significantly higher rates than desktop or tablet users. Mobile devices account for 59% of e-commerce traffic, making this a critical issue.

Methodology

Cross-study analysis comparing mobile (85.65%), tablet (80.74%), and desktop (73.76%) abandonment rates across the same e-commerce sites.

48%

Unexpected Costs Drive Abandonment

HIGH Confidence
2024-11

The number one reason for cart abandonment. Unexpected shipping costs, taxes, and fees revealed at checkout cause nearly half of all abandonments.

Methodology

Survey data from 5,000+ online shoppers asked why they abandoned their most recent cart. Responses were categorised and ranked by frequency, then cross-validated with analytics data showing exit points.

26%

Mandatory Account Creation Friction

HIGH Confidence
2024-11

The second most common abandonment reason. Forcing users to create accounts before checkout significantly increases friction and drives people away.

Methodology

User survey data combined with A/B testing results from sites offering guest checkout vs mandatory accounts. Measured abandonment rate differences and tracked exit points.

17%

Complex Checkout Process

HIGH Confidence
2024-11

Confusing or lengthy checkout flows cause significant abandonment. Each additional form field and checkout step increases the chance people will give up.

Methodology

Usability testing with 200+ participants completing checkout flows on 50 major e-commerce sites. Researchers tracked confusion points, time to complete, and what triggered abandonment.

22%

Payment Method Availability

HIGH Confidence
2024-11

Customers abandon carts when their preferred payment method is unavailable. This is particularly critical for international e-commerce and mobile commerce.

Methodology

Survey of 8,000+ shoppers about payment preferences and abandonment reasons. Data was correlated with analytics showing exit points after payment method selection.

Key Findings

Analysis of abandonment rates, mobile behaviour, and the top friction points in checkout

Key Research Outcomes

Cart abandonment research reveals patterns that affect conversion rates across the e-commerce industry.

Baseline Abandonment Rates

The global average sits at 70.19%. Roughly 7 out of 10 shoppers who add items to their cart never complete the purchase. That's a massive opportunity cost for online businesses.

Mobile Abandonment Crisis

Mobile devices show significantly higher abandonment at 85.65% compared to desktop (73.76%) and tablet (80.74%). Given mobile accounts for 59% of e-commerce traffic in 2025, fixing mobile checkout is essential for revenue.

Top Abandonment Causes

The research shows a clear hierarchy of what drives people away:

  1. Unexpected costs (48%) - Surprise shipping, taxes, or fees at checkout. The number one killer.
  2. Mandatory account creation (26%) - Forcing registration before purchase creates serious friction
  3. Payment method unavailability (22%) - Customers leave when their preferred payment option isn't available
  4. Complex checkout process (17%) - Confusing forms and lengthy multi-step flows lose people along the way

Financial Impact

With a 70.19% abandonment rate, online stores are haemorrhaging potential revenue. For every £100,000 in completed sales, roughly £236,000 in cart value gets abandoned. Across the industry, that's billions in lost revenue annually.

Device-Specific Behaviour

The 11.89 percentage point gap between mobile (85.65%) and desktop (73.76%) abandonment reveals fundamental problems in mobile checkout experiences. Small screens, awkward form entry, and performance issues all compound to create friction.

Recovery Opportunity

Cart abandonment emails achieve 41.8% open rates and 10.7% conversion rates. Many abandoned carts represent genuine purchase intent, not just casual browsing. Real opportunity for recovery through email campaigns and retargeting.

Implications and Recommendations

What these findings mean for your business and technical implementation priorities

Business and Technical Implications

These findings affect how you should prioritise e-commerce development and optimisation work.

Revenue Recovery Potential

With 70.19% average abandonment, reducing this rate by even 5 percentage points means substantial revenue gains. For a site generating £1M annually, cutting abandonment from 70% to 65% translates to roughly £167,000 in additional revenue. No increase in traffic acquisition costs needed.

Mobile-First Imperative

The 85.65% mobile abandonment rate makes mobile checkout optimisation your top priority. Given 59% of traffic comes from mobile, fixing mobile checkout affects most of your potential customers.

Transparent Pricing Strategy

With 48% of abandonment caused by unexpected costs, you need to:

  1. Display shipping costs early - Show estimates on product pages, not just at checkout
  2. Offer free shipping thresholds - Make it clear what order value gets free shipping
  3. Include taxes in display prices - Where legally permitted, show tax-inclusive pricing
  4. Bundle costs - Show a single "total cost" rather than itemised surprise fees

Guest Checkout Requirement

The 26% abandonment rate from mandatory account creation makes guest checkout a must. Best practice: offer account creation after purchase completion, using the order data you've already collected.

Payment Method Diversification

With 22% abandoning due to payment method unavailability, you need multiple options. Priority payment methods:

  1. Credit/debit cards (universal baseline)
  2. Digital wallets (Apple Pay, Google Pay) for mobile users
  3. Buy Now Pay Later (Klarna, Afterpay) for high-value items
  4. Local payment methods for international customers

Checkout Flow Simplification

The 17% abandonment from complex checkout tells you to:

  • Use single-page checkout rather than multi-step where possible
  • Minimise required fields - only collect what you actually need
  • Enable auto-fill - support browser and wallet auto-completion
  • Show progress indicators - make multi-step flows feel shorter
  • Use inline validation - give immediate error feedback, don't wait for submission

Technical Implementation Priorities

Based on this research, technical teams should prioritise:

  1. Mobile checkout performance - Target sub-2-second load times on 3G
  2. Payment gateway integration - Multi-method payment processing
  3. Guest checkout implementation - Make account creation optional
  4. Form optimisation - Enable auto-fill, reduce fields, add inline validation
  5. Cost transparency - Calculate and display shipping early
  6. Abandonment email automation - Set up cart recovery campaigns

A/B Testing Opportunities

The research suggests high-impact tests:

  • Guest checkout vs mandatory accounts (expect up to 26% abandonment reduction)
  • Single-page vs multi-step checkout (5-10% improvement)
  • Early shipping cost display vs checkout-only (15-20% reduction)
  • Multiple payment methods vs cards-only (10-15% improvement)

International Considerations

For businesses serving international customers:

  • Local payment methods are critical (varies significantly by region)
  • Currency conversion must be transparent (show costs in customer's currency)
  • Shipping costs need early clarity (international shipping often surprises people)
  • Tax handling (VAT, import duties) must be upfront and clear

Recommendations

Based on this research:

  1. Audit your current checkout against the top 4 abandonment causes
  2. Implement guest checkout immediately if you're forcing registration
  3. Optimise mobile checkout as your highest-priority technical work
  4. Add transparent shipping costs to product pages and cart
  5. Expand payment method options to cover 90%+ of customer preferences
  6. Set up cart abandonment emails for recovery campaigns
  7. Run continuous A/B tests on checkout flow improvements
  8. Track device-specific abandonment in analytics to spot problem areas

Limitations and Context

This research is thorough, but keep in mind:

  • Industry variation - Luxury and B2B sites may see different patterns
  • Traffic quality - High-intent traffic (from ads) typically has lower abandonment than cold traffic
  • Product value - Higher-priced items usually see higher abandonment
  • Seasonal factors - Holiday shopping shows different patterns
  • Regional differences - Abandonment reasons vary by market maturity and payment culture

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