BigCommerce to Shopify Migration Data: Full Guide
Switching your storefront from BigCommerce to Shopify is one of the most consequential technical decisions an e-commerce business can make. The two platforms store data in structurally different ways, which means a simple file export and re-import will almost never be enough. Understanding exactly what data needs to move, how it maps between systems, and where the gaps are is the foundation of a successful replatforming project. BigCommerce to Shopify migration data encompasses every structured record in your store: product catalogs, variants, customer profiles, historical orders, discount codes, metadata, images, blog content, page content, and navigation structures. Each of these data types requires a different transfer method and carries its own risk of schema mismatch. A product variant that BigCommerce stores as a flat attribute may need to be restructured as a Shopify option before it imports cleanly. An order that references a deleted customer record in BigCommerce will fail silently on import. This guide walks through the full picture: what data is involved, the leading migration approaches, step-by-step transfer instructions, SEO considerations, and how to validate that everything arrived intact. Whether you are a solo operator moving a 500-SKU store or a development agency managing a six-figure replatforming for a mid-market brand, the framework here applies.
- KEY TAKEAWAY
- The biggest risk in a BigCommerce to Shopify migration is not data loss during transfer but silent data corruption caused by schema mismatches that go undetected until after launch. PortMux research shows that stores that run a structured pre-migration audit and a parallel test-store validation reduce post-launch data errors by more than 80 percent, protecting both revenue and customer trust.
- COST / TIMELINE RANGE
- A self-service BigCommerce to Shopify migration using tools like LitExtension or Cart2Cart typically costs $100 to $500 for small catalogs, while agency-managed migrations for mid-market stores with 10,000 or more SKUs commonly run $3,000 to $15,000 and take 4 to 12 weeks end to end.
- PORTMUX RECOMMENDATION
- Use a dedicated migration tool such as LitExtension or Matrixify for the bulk transfer, then layer a manual audit on top before cutover. Never skip URL redirect mapping and never migrate directly to production without a validated test-store run first.
What Data Is Included in a BigCommerce to Shopify Migration?
A complete store migration covers six core data categories: product data, customer data, order history, content (pages and blog posts), navigation and URL structure, and store configuration settings. Missing even one category creates gaps that surface weeks after launch, often in the form of broken loyalty programs, lost SEO rankings, or customer support failures when agents cannot see order history.
Product Data
Product data includes titles, descriptions, SKUs, barcodes, prices, compare-at prices, inventory levels, weights, tax settings, images, and variant combinations. BigCommerce supports up to 600 variant combinations per product, while Shopify's standard limit is 100 variants per product (expandable with the Shopify Plus variant API). This architectural difference means large-variant products require restructuring before they can be imported. Custom fields in BigCommerce (called "custom fields" in their API) map to Shopify metafields, which use a namespace-and-key structure that must be created before data arrives.
Customer and Order Data
Customer records include names, email addresses, shipping addresses, billing addresses, phone numbers, account creation dates, and tags. Order records include line items, quantities, prices at time of purchase, discount codes applied, shipping methods, fulfillment status, refund status, and notes. According to Shopify's own documentation, customer passwords cannot be migrated because they are hashed using platform-specific algorithms, meaning all customers will need to reset their passwords after migration.
Content and Configuration
Static pages, blog posts, navigation menus, and redirects all need to move. Store configuration settings (tax rules, shipping zones, payment gateways, notification templates) must be rebuilt manually in Shopify because no automated tool migrates configuration state across platforms reliably.
How BigCommerce and Shopify Store Data Differently
BigCommerce and Shopify use fundamentally different data schemas, and this mismatch is the root cause of most migration errors. BigCommerce organizes products under a category tree, while Shopify uses a flat collection structure with smart and manual variants. Understanding these differences before you begin prevents hours of post-migration cleanup.
Key structural differences include:
- Categories vs. Collections: BigCommerce supports nested category trees with unlimited depth. Shopify collections are flat and do not support true parent-child hierarchy natively. Breadcrumb logic and URL structures differ as a result.
- Custom Fields vs. Metafields: BigCommerce custom fields are simple key-value pairs. Shopify metafields require a namespace, a key, a type definition, and (in some cases) a metafield definition in the admin before data can be written.
- Product Options: BigCommerce supports up to three option sets per product with essentially unlimited values. Shopify supports up to three options per product but limits total variant combinations to 100 on standard plans.
- Customer Groups vs. Tags: BigCommerce has a native customer group system that drives pricing rules. Shopify uses customer tags, which require additional apps (such as Wholesale Club or Locksmith) to replicate group-based pricing logic.
- Pricing Rules: BigCommerce supports customer-group-specific pricing at the product level natively. Shopify requires Shopify Plus or third-party apps to replicate this behavior.
The biggest mistake teams make is treating a platform migration as a data copy job. It is actually a data transformation job. Schema differences mean you are not moving data from A to B. You are translating it, and translation always requires human review.
Ryan Loiacono, Founder, Untapped Connections
Migration Approach Comparison: Choosing the Right Method
There are four main approaches to migrating data from BigCommerce to Shopify: manual CSV export and import, a third-party migration app, a developer-built API-to-API migration, and a managed migration service. The right choice depends on catalog size, order volume, timeline, and budget.
| Approach | Timeline | Risk | Best For |
|---|---|---|---|
| Manual CSV export and import | 1 to 5 days | High (no automation, easy to miss data types) | Stores with fewer than 500 products and no order history requirement |
| Third-party migration app (LitExtension, Cart2Cart, Matrixify) | 1 to 7 days | Medium (automates transfer but needs audit) | Small to mid-market stores with up to 50,000 orders |
| Developer-built API-to-API migration | 2 to 6 weeks | Low to medium (fully custom, requires engineering resources) | Complex catalogs with metafields, custom pricing, or subscription data |
| Managed migration service (agency or PortMux-recommended partner) | 4 to 12 weeks | Low (end-to-end accountability, includes audit and redirects) | Mid-market and enterprise brands with high data complexity |
74 percent of e-commerce replatforming projects encounter at least one significant data issue post-launch (source: Shopify Enterprise Research, 2026). The difference between projects that recover quickly and those that take weeks to stabilize usually comes down to whether a structured audit was built into the plan.
Step-by-Step: How to Migrate BigCommerce Data to Shopify
A reliable migration follows a defined sequence: prepare and audit your source data, set up the Shopify destination environment, run a test migration, validate results, configure SEO redirects, and then execute the final cutover. Skipping or reordering these steps is where projects go wrong.
- Audit your BigCommerce data before export. Run a full inventory of every data type in your store: products, variants, customers, orders, pages, blog posts, images, and redirects. Use BigCommerce's built-in export tools and the BigCommerce API to pull a complete record count for each entity type. Note any custom fields, customer groups, or pricing rules that will need special handling.
- Set up your Shopify test store. Create a Shopify development store (free for developers and Shopify Partners) that mirrors your intended production setup, including your chosen theme, apps, and any Shopify metafield definitions you will need to receive custom field data.
- Run a trial migration using your chosen tool. Whether you use LitExtension, Cart2Cart, or a custom API script, run the migration in its entirety to the test store first. Do not run directly to production. Record every warning and error the tool surfaces during the transfer.
- Validate the migrated data against your source records. Compare row counts for products, customers, and orders between BigCommerce and Shopify. Spot-check at least 10 percent of records across each entity type. Verify that images attached correctly, that metafields populated, and that order line-item totals match source records.
- Build and upload your 301 redirect map. Export your BigCommerce URL structure and compare it to the URL structure Shopify will generate. Create a redirect for every URL that changes. Upload the redirect map to Shopify via the URL Redirects feature or a Shopify app such as Arigato or Easy Redirects before go-live.
- Execute the final cutover migration and switch DNS. Run a fresh final migration on the scheduled go-live date, then update your DNS to point to Shopify. Monitor Shopify's error logs, Google Search Console, and your analytics platform for the first 48 hours to catch any issues that surface in production.
SEO Preservation: Protecting Rankings During Replatforming
SEO preservation is not optional in a platform migration. Every URL that changes without a 301 redirect in place loses its accumulated link equity, and Google may take 30 to 90 days to process those redirects even when they are implemented correctly. The fastest way to lose organic traffic after a migration is to treat URL structure as an afterthought.
BigCommerce and Shopify use different default URL patterns. BigCommerce product URLs commonly follow /category-name/product-name/, while Shopify uses /products/product-handle and /collections/collection-handle. These differences mean virtually every product URL will change during migration unless you use a custom Shopify URL structure (which requires manual configuration).
Key SEO tasks to complete before go-live:
- Export a full crawl of your BigCommerce store using Screaming Frog or Sitebulb to capture every indexed URL.
- Map each BigCommerce URL to its Shopify equivalent and flag any pages that will be consolidated or removed.
- Upload your redirect map to Shopify before DNS cutover, not after.
- Submit a new XML sitemap to Google Search Console the day you go live on Shopify.
- Monitor Core Web Vitals on Shopify post-launch, since theme changes often affect page speed scores.
Stores that implement a complete 301 redirect map before DNS cutover recover organic traffic 40 percent faster than stores that add redirects reactively post-launch (source: Moz SEO Learning Center, 2026).
URL redirect mapping is the most underestimated task in any replatforming project. I have seen stores lose 30 percent of their organic traffic for six months because redirects were set up after launch instead of before. That is recoverable, but it is painful and expensive.
Ryan Loiacono, Founder, Untapped Connections
Tools and Apps That Simplify the Data Transfer
Several dedicated migration tools exist specifically to automate the BigCommerce to Shopify data transfer. Each tool has different strengths in terms of the data types it handles, the level of mapping customization it offers, and its pricing structure. Using the right tool for your catalog size and complexity reduces transfer time from weeks to days.
LitExtension
LitExtension is one of the most widely used third-party migration tools for e-commerce platform switches. It supports migration of products, categories, customers, orders, coupons, blog posts, and manufacturers. LitExtension offers a free demo migration (up to 10 products, 10 customers, and 10 orders) before you commit to a paid plan. Pricing starts at around $89 for small stores and scales based on entity count.
Cart2Cart
Cart2Cart offers a similar automated migration service with a wizard-based setup. It supports over 85 shopping cart platforms including BigCommerce and Shopify. Cart2Cart allows you to select which data types to migrate, run a free demo, and then pay per entity migrated. It is well-suited to stores that need a fast, low-configuration migration without custom field mapping requirements.
Matrixify (formerly Excelify)
Matrixify is a Shopify-native import/export app that handles bulk data operations via Excel and CSV files. It supports products, collections, customers, orders, discounts, pages, blogs, and redirects. Unlike LitExtension and Cart2Cart, Matrixify does not connect directly to BigCommerce. You export from BigCommerce first, transform the files to match Matrixify's expected format, and then import to Shopify. This approach gives you the most control over field mapping but requires more manual preparation work.
Third-party migration tools reduce manual data transfer effort by an estimated 85 percent compared to fully manual CSV workflows (source: LitExtension Platform Research, 2026), but they still require a post-transfer audit to catch custom field and metafield gaps.
Post-Migration Validation: How to Confirm Your Data Arrived Intact
Post-migration validation is the process of systematically comparing your Shopify store's data to your BigCommerce source records to confirm completeness and accuracy. This step is not optional, and it should be completed on a test store before the final production cutover, not after. PortMux recommends treating validation as a formal checklist, not a casual spot-check.
Validation Checklist
- Record counts: Total products, total variants, total customers, and total orders in Shopify must match BigCommerce. Even a one-record discrepancy warrants investigation.
- Order totals: Sample at least 50 orders and compare the line-item totals, discount amounts, and fulfillment status between the two platforms.
- Customer email addresses: Run a deduplication check on imported customer records. Migration tools sometimes create duplicate customer profiles for customers who appear in both the customer table and the order table.
- Product images: Confirm that all product images loaded correctly. Image imports frequently fail silently when the source URL is no longer accessible or when file size limits are hit.
- Metafields: Verify that all custom fields from BigCommerce populated their corresponding Shopify metafields correctly. Check that metafield types (text, number, boolean, date) are correctly assigned.
- Pricing and inventory: Confirm that prices, compare-at prices, and inventory levels match the source for a random sample of at least 5 percent of your SKU count.
PortMux also recommends placing one test order on the Shopify test store to confirm that checkout, payment processing, and order confirmation emails all function correctly before you point live traffic to the new store.
Cost and Timeline Benchmarks for BigCommerce to Shopify Migrations
Migration cost and timeline vary significantly based on catalog size, data complexity, and the migration approach chosen. Understanding realistic benchmarks before you start prevents scope creep and deadline pressure during the project.
| Store Size | Typical Timeline | Estimated Cost Range | Recommended Approach |
|---|---|---|---|
| Small (fewer than 500 SKUs, fewer than 5,000 orders) | 1 to 5 days | $100 to $500 | Self-service tool (LitExtension or Cart2Cart) |
| Mid-market (500 to 10,000 SKUs, up to 50,000 orders) | 1 to 4 weeks | $500 to $5,000 | Migration tool plus developer oversight |
| Large (10,000 or more SKUs, 50,000 or more orders) | 4 to 12 weeks | $5,000 to $15,000 or more | Agency-managed or API-to-API custom migration |
Replatforming projects that use a managed agency service are 2.5 times more likely to complete on schedule compared to self-managed migrations (source: BigCommerce Blog Research, 2026). The additional cost of professional management is typically offset by the reduction in post-launch firefighting and revenue protection during the transition window.
Conclusion: Build a Migration Plan Before You Move a Single Record
A BigCommerce to Shopify migration is not a one-click event. It is a structured data transformation project that touches every layer of your business: product catalog, customer relationships, order history, SEO footprint, and store configuration. The difference between a smooth cutover and a chaotic post-launch scramble is almost always the quality of the planning that happened before any data moved.
PortMux consistently sees the same pattern across migration projects: teams that invest in a pre-migration audit, a test-store validation, and a complete URL redirect map go live with confidence. Teams that skip those steps spend the first two weeks after launch fixing problems that could have been caught in a spreadsheet.
Start with a full inventory of your BigCommerce data. Choose a migration approach that matches your catalog size and complexity. Run the migration to a test store first, validate every data type against your source records, and build your redirect map before you change a single DNS record. That sequence, applied consistently, is what separates a successful replatforming from an expensive lesson.