KPI Tree

Shopify Metric

E-commerce

Checkout Abandonment Rate = ((Checkout Starts - Completed Orders) / Checkout Starts) × 100

Checkout abandonment rate is the percentage of visitors who initiate the checkout process but leave before completing payment. Unlike cart abandonment, it focuses exclusively on drop-off after the buyer has committed to purchasing.

Full guide: definition, formula, and benchmarks
ShopifyE-commerce

Checkout Abandonment Rate

Checkout abandonment rate is the percentage of visitors who initiate the checkout process but leave before completing payment. Unlike cart abandonment, it focuses exclusively on drop-off after the buyer has committed to purchasing.

How to calculate checkout abandonment rate

Checkout Abandonment Rate = ((Checkout Starts - Completed Orders) / Checkout Starts) × 100

Why checkout abandonment rate matters for Shopify users

Checkout abandonment represents the highest-intent lost revenue in your funnel. These visitors have selected products, entered the checkout, and then encountered something that prevented completion - often unexpected costs, limited payment options, or a cumbersome form.

Shopify merchants can analyse abandonment by checkout step, payment method, and device to pinpoint the exact friction points and prioritise fixes with the highest revenue recovery potential.

Understand and act on checkout abandonment rate with KPI Tree

Connect Shopify checkout funnel data to KPI Tree via your warehouse. Place checkout abandonment in a conversion tree alongside checkout conversion rate and cart abandonment rate for a complete funnel view.

Assign UX or payments ownership and set alerts when checkout abandonment spikes, triggering immediate investigation.

Get started with your Shopify data

Query using MCP
MCP

Pull metrics from Shopify directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Shopify data already lands.

Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Explore checkout abandonment rate across integrations

Empower your team to understand and act on Shopify data

Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.

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