Engineering

Storefront Migrations

Platform migrations with zero downtime, zero data loss, and zero traffic drop — executed with surgical precision.

Phase
4-step engagement
Hypercare
30 days included
Cadence
Weekly demos

Trusted by teams shipping at scale

Drybar
Cuisinart
Conair
Revlon
Belkin
Beautiful
CruxGG
Joshua Tree Coffee
Mary's Gone Crackers
AMI Clubwear
Revitalash
Soil3
Capabilities

What we deliver

Every Storefront Migrations engagement bundles these capabilities by default. We tune the depth of each to fit your scope.

01 / 06

Data migration & validation

Included
02 / 06

URL mapping & redirect management

Included
03 / 06

SEO preservation

Included
04 / 06

Parallel environment testing

Included
05 / 06

Zero-downtime cutover planning

Included
06 / 06

Post-migration monitoring

Included
Engagement

How we build Storefront Migrations

A repeatable four-phase engagement. Same rigor every time, scoped to the work in front of us.

Phase01
Week 1-2

Discover

We map the current state, surface constraints, and lock the scope before any code is written. You leave the phase with a written success definition.

  • Audit document
  • Success criteria
  • Risk register
Phase02
Week 2-3

Architect

We pick the stack, design the data model, and prove the riskiest path first. Architecture decisions are reviewed with your team before build starts.

  • Architecture doc
  • Stack decision record
  • Spike on riskiest path
Phase03
Week 3-10

Build

Iterative delivery in weekly increments. You see working software every Friday, can redirect priorities each Monday, and never wait six weeks for a demo.

  • Weekly demo cadence
  • Production-ready code
  • CI/CD + tests
Phase04
Week 10+

Operate

We ship with observability, hand off runbooks, and stay accountable post-launch. 30-day hypercare is included on every engagement.

  • Monitoring dashboards
  • Operational runbooks
  • 30-day hypercare
Deep dive

The full breakdown

Architecture, decisions, and the operational details behind every Storefront Migrations engagement. Skim with the table of contents, or read straight through.

storefront-migrations.brief.md

Migrations Without the Horror Stories

Platform migrations have a bad reputation for good reason: they often take twice as long as planned, lose data in transit, and tank search rankings. We've executed enough migrations to know exactly where projects go wrong — and how to prevent it.

Our migration methodology treats every data object as precious, every URL as a search equity asset, and every cutover as a surgical procedure.

The Migration Framework

Phase 1: Discovery & Inventory (Weeks 1-2)

Before a single record is moved, we build a complete inventory of what needs migrating:

Data objects:

  • Products (variants, metafields, images, videos)
  • Customers (addresses, purchase history, account credentials)
  • Orders (historical records for reporting and service)
  • Content pages, blog posts, navigation structures
  • Discount codes and gift card balances

SEO assets:

  • Full crawl of indexed pages with title, meta description, canonical URL
  • Backlink profile for high-authority pages
  • Structured data markup to preserve
  • Core Web Vitals baseline metrics

Integrations:

  • All connected apps and services that need reconfiguration
  • Authentication flows and OAuth apps
  • Webhooks and event subscriptions

Phase 2: Destination Build & Data Pipeline (Weeks 3-8)

We build the destination platform in parallel with the source — customers continue transacting on the old platform while we build and test the new one.

Data migration runs continuously against production data (read-only) so we can:

  • Validate transformation logic against real data edge cases
  • Run the migration repeatedly to refine scripts before final cutover
  • Produce record counts and checksums for validation

The 301 redirect map is built, validated against the destination platform's actual URL structure, and tested before cutover day.

Phase 3: Parallel Testing (Weeks 9-10)

Before cutover, we run parallel testing:

  • Full functional test of the destination storefront
  • Checkout flow with every payment method
  • All discount and promotion codes
  • Customer account functions
  • All third-party integrations

We produce a signed-off test matrix. Nothing gets cut over with open issues.

Phase 4: Cutover (Day of Launch)

Cutover happens in a maintenance window (typically 2-4 hours). Steps:

  1. Final delta sync (records created since last full migration)
  2. DNS cutover with short TTL for fast rollback capability
  3. Verification pass on destination platform
  4. Monitoring dashboard active
  5. Rollback plan on standby for 48 hours

Phase 5: Post-Migration Monitoring (30 Days)

We monitor for 30 days post-launch:

  • Google Search Console for crawl errors and ranking changes
  • Error rate and performance benchmarks
  • Customer service issues related to migration
  • Data integrity spot checks

Most SEO impacts from migrations are temporary. Proper redirect implementation and ongoing monitoring minimizes them.

End of brief
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Scope

Included in every engagement

scope_of_work.md
6 items
  1. 01

    Migration architecture and cutover plan

  2. 02

    Complete data migration (products, customers, orders, content)

  3. 03

    301 redirect map (validated)

  4. 04

    Pre/post SEO baseline comparison

  5. 05

    Parallel testing results and sign-off documentation

  6. 06

    30-day post-migration monitoring

Stack

Technology

The tools and platforms we deploy on every Storefront Migrations engagement.

stack.json
Tooling5
Python (migration scripts)Node.js / TypeScriptPHP (legacy source extraction)SFCC OCAPI / SCAPIFirebase
Frameworks1
Ruby on Rails
Commerce5
Shopify Admin API / Bulk OperationsBigCommerce APIsMagento 2 REST / GraphQL APIsWooCommerce REST APIKlaviyo migration
Infrastructure3
Cloudflare (DNS / routing)AWS LambdaDocker
SEO & Analytics4
Google Search ConsoleScreaming FrogAhrefs (rank monitoring)Schema.org / JSON-LD
Data3
PostgreSQL (staging)DynamoDBRedis (queue)
Payments1
Stripe / Shop Pay (payment migration)
Testing1
Playwright (parity tests)
Observability2
SentryDatadog
CI/CD1
GitHub Actions
FAQ

Common questions

Everything you need to know before starting a project with us.

Yes, this is one of our most common migrations. M1 to Shopify requires careful data modeling since their schemas differ significantly — we've built tooling specifically for this path.

We crawl your current site before migration to capture every indexed URL, create a validated 301 redirect map, and monitor GSC for 90 days post-launch to catch any indexation issues.

An ecommerce platform migration typically takes 10-16 weeks depending on catalog size, data complexity, and the number of third-party integrations that need reconfiguring. Migrations involving complex data transformations — like moving custom product attributes or multi-currency historical orders — extend toward the longer end of that range.

A Magento to Shopify migration requires careful data modeling because the two platforms structure products, categories, and customer data very differently. We handle the full scope — product and variant mapping, customer account migration with password reset flows, historical order import, URL redirect mapping, and rebuilding any custom Magento functionality using Shopify's native features or custom apps.

Yes, SFCC to Shopify Plus migration is one of our core specialties. We extract data from SFCC using OCAPI and SCAPI, transform it to match Shopify's data model, and rebuild content assets, catalog structures, and integration touchpoints on the Shopify Plus platform while preserving your SEO equity through comprehensive redirect mapping.

The biggest risks of ecommerce replatforming are data loss, SEO traffic drops, and extended downtime during cutover. We mitigate these with automated data validation checksums, pre-built and tested 301 redirect maps, parallel environment testing, and a rehearsed cutover runbook with a rollback plan that can restore the original platform within minutes if needed.

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