Goal: Reduce Cart Abandonment

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Reduce checkout abandonment caused by shipping friction — coverage gaps, unexpected costs, and missing free shipping options — by optimizing the delivery step of the checkout funnel.


Business Goal

The merchant wants to reduce the percentage of customers who abandon checkout, specifically at the delivery/shipping step. Shipping-related friction is the leading cause of checkout abandonment, and the delivery step conversion rate (delivery_step_cvr) is the primary metric.

Benchmark: A healthy delivery_step_cvr is approximately 65%. Stores below this benchmark have significant shipping-related friction.


KPIs

KPIDefinitionHow to measureBenchmark
Delivery step CVRCustomers completing delivery step / customers reaching delivery stepSite metrics: delivery_step_cvr65%
Cart abandonment rateCarts created but not converted to orders / total carts1 - (orders / carts)Industry avg ~70%
Free shipping qualification rateOrders qualifying for free shipping / total ordersTrack orders meeting free shipping thresholdHigher is better
Revenue from recovered checkoutsIncremental revenue from improved conversion(new_cvr - old_cvr) * checkout_sessions * AOV-

Triggers

Activate this goal when the merchant expresses any of the following intents:

  • "cart abandonment"
  • "checkout drop-off"
  • "shipping friction"
  • "delivery step"
  • "people are leaving at checkout"
  • "customers not completing orders"
  • "why are customers abandoning"
  • "checkout conversion"
  • Any request about reducing drop-off during the purchase flow

Diagnostic Questions

Before recommending actions, assess the root cause of abandonment. Ask or investigate:

  1. Where are buyers dropping off? — Is it specifically the delivery step, or payment, or earlier in the funnel?
  2. Are shipping costs visible before checkout? — Surprise shipping costs are the #1 abandonment driver.
  3. Is there a free shipping option? — Free shipping (even with a threshold) dramatically reduces abandonment.
  4. Are there shipping coverage gaps? — Customers in unserved regions cannot complete checkout at all.
  5. Are shipping rates reasonable? — Rates above 10-15% of order value cause sticker shock.
  6. Are payment methods adequate? — Missing payment options can look like shipping-step abandonment in metrics.
  7. Are recovery emails enabled? — Abandoned cart emails can recapture 5-15% of abandoned carts.

Actions are ordered by impact. Address blocking issues first, then conversion drivers, then optimization.

Priority 1: Flow: Fix Shipping Coverage Gaps (Blocking)

Coverage gaps are the most critical issue — if a customer's region is not covered by any shipping option, they literally cannot complete checkout.

When to use: When delivery profiles show regions without active shipping options, inactive regions, or missing domestic coverage.

Impact: Removes a hard blocker. Customers in uncovered regions have 0% conversion.

Priority 2: Flow: Add Free Shipping (Conversion Driver)

Free shipping is the single most effective lever for reducing cart abandonment. Even with a minimum order threshold, offering a free shipping option significantly improves delivery step conversion.

When to use: When the store has no free shipping option, or when the existing free shipping threshold is set too high relative to AOV.

Impact: Typically improves delivery_step_cvr by 10-20 percentage points. The threshold should be calibrated to AOV (typically 1.2x-1.5x AOV).

Priority 3: Flow: Optimize Shipping Rates (Sticker Shock Reduction)

High shipping rates cause sticker shock even when coverage exists. Rate optimization ensures pricing is competitive and proportional to order value.

When to use: When shipping rates are disproportionately high relative to product prices, or when rates lack tiered/conditional pricing.

Impact: Reduces abandonment from price sensitivity. Most effective when combined with free shipping at a threshold.


Measurement Plan

Before optimization

  1. Record baseline delivery_step_cvr from site metrics
  2. Record current cart abandonment rate
  3. Identify the specific shipping configuration state:
    • Number of active regions with shipping options
    • Presence/absence of free shipping
    • Average shipping rate as percentage of AOV

During optimization (weekly monitoring for 30 days)

  1. Track delivery_step_cvr weekly
  2. Compare week-over-week trend
  3. Monitor free shipping qualification rate (if threshold was added)
  4. Check for new coverage gaps if regions were modified

After optimization (30-day assessment)

  1. Calculate CVR improvement: new_delivery_step_cvr - baseline_delivery_step_cvr
  2. Estimate revenue recovered: cvr_improvement * checkout_sessions * AOV
  3. Evaluate threshold effectiveness:
    • Free shipping qualification rate > 40% = threshold well-calibrated
    • Free shipping qualification rate < 10% = threshold too high, consider lowering
  4. Assess whether further optimization is needed:
    • delivery_step_cvr >= 65% = healthy, monitor quarterly
    • delivery_step_cvr 50-65% = improving, continue optimization
    • delivery_step_cvr < 50% = investigate non-shipping causes (payment, UX)

Decision Matrix

ScenarioPriority ActionRationale
Regions without shipping optionsFix Coverage Gaps (P1)Hard blocker — 0% conversion in uncovered regions
No free shipping option existsAdd Free Shipping (P2)#1 conversion driver for delivery step
Free shipping exists but threshold too highAdd Free Shipping (recalibrate)Lower threshold to match AOV
High shipping rates, free shipping existsOptimize Shipping Rates (P3)Reduce sticker shock for below-threshold orders
delivery_step_cvr >= 65%No immediate action neededAlready at healthy benchmark
Abandonment not at delivery stepInvestigate other causesPayment methods, UX, trust signals may be the issue
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