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CASE STUDY · ENTERPRISE RETAIL

A relaunch with millions of new URLs - back above baseline within 7 months.

CompanyFortune-100 multi-category eCommerce
My roleSEO Consultant
EngagementJan 2016 → Jul 2017
ProjectFull redesign + mass category/product launch
~38M
monthly organic visits, up from ~25M
+50%
over the pre-launch baseline
7 mo
to recover above baseline
~4×
keywords & #1-3 off the trough
Summary

I guided a major U.S. retailer through a full site redesign and a massive category and product expansion - millions of new URLs, with some legacy areas retired. We expected a short-term dip; the site hit a controlled trough right after launch, then recovered and surpassed pre-launch levels within 7 months. Monthly organic traffic moved from a ~25M baseline to ~38M, and #1-3 rankings finished above where they started.

The challenge

A high-risk cutover at enormous scale - right before the holidays.

What I did

Redirect governance, IA, facet control, schema, sitemaps - and a tight post-launch ops loop.

01

Redirect & retirement governance

Mapped legacy → new at scale with a “keep / combine / retire” matrix, prevented soft-404 chains and irrelevant hops, and used 410s for dead ends to protect crawl budget.

02

Information architecture & internal linking

Re-framed category → subcategory → product flows with hub → cluster linking, related rails, breadcrumbs, and consistent canonicals.

03

Faceted navigation controls

Robots/canonicals for non-value facets, a pre-approved index-worthy facet list, and normalized parameters and pagination to cut duplication.

04

Schema & product-feed hygiene

Rolled out Product, Offer, AggregateRating, and BreadcrumbList, aligning feed attributes to markup to stabilize rich results.

05

XML sitemaps & discovery

Segmented, freshness-ordered index sitemaps (categories / subcats / in-stock products / seasonal), a fast re-submit cadence, and server-log monitoring.

06

Monitoring & rollback playbook

A daily post-launch dashboard (traffic, indexation, bucketed rankings, 404/soft-404, 5xx) plus change-freeze windows and a clear rollback path.

Results

A risky cutover turned into a controlled recovery - and growth past where it started.

~25M → ~38M
monthly organic visits

≈50% above the pre-launch baseline as new categories indexed

7 months
launch trough → above-baseline recovery
~0.6M → ~2.3M
crawlable pages

new breadth without uncontrolled facet bloat

~4×
total keywords & #1-3 off the trough

#1-3 rankings finished above pre-launch - quality recovery, not just breadth

By the numbers

The trajectory, charted.

Ranking keywords through the migration (millions)
~15M Pre-work ~4.9M Launch ~4.1M Trough ~15.8M End

Total keywords contracted through the cutover, then recovered above the pre-launch reference.

Crawlable pages (millions)
~0.65M Pre-launch ~2.3M Post-launch

New category and product breadth - without uncontrolled facet bloat.

Why it worked

The decisions that made the difference.

Proof
★★★★★
I have been jealous of Andre since we started to work together. As time went by, I realized that he was much more… he literally knew everything about everything… On-page, off-page, strategy, user intent, algorithm updates, content best practices, navigation and website structure, structured data best practices, canonical URL optimization, site speed, AMP, multilingual websites… And the worst thing, I couldn't share my frustration with anyone, because everybody loves Andre.
David Scebat
David Scebat Director of Growth Marketing · Fiverr Pro
★★★★★
Andre is very well versed in multiple aspects of online marketing, which turned him into a key player for projects that go beyond SEO and content marketing. Andre excels at taking projects from beginning to end and assuring a high level of execution. I'm confident he'll be a great asset to whichever company or organization he will join.
Vered Avrahami
Vered Avrahami Head of Global Communications · Wix.com

Have a project like this?

Tell me what you're planning - a migration, a pivot, a growth push. I'll show you the risks and how I'd protect the downside.

I read and reply to every message personally - usually within 1-2 business days.