Planet E-Bikes

The Challenge

Planet E-Bikes is an e-commerce retailer in a competitive, design-driven category — high-consideration purchases where buyers research extensively before clicking add-to-cart. The catalog was solid, the product photography was strong, and the brand had a clear position. What it didn't have was visibility on the queries that actually drive consideration: specific bike types, comparison searches, and the long-tail "best e-bike for X" queries that lead the funnel.

Traffic was flat at the start of the engagement. Most of what arrived was branded — people who already knew the name. Anything outside that — generic category queries, comparison searches, even mid-funnel "how to choose" content — was being eaten by larger marketplaces and content sites with deeper topical authority. Without movement on those queries, the site was effectively invisible to net-new buyers.

Underneath, the technical layer was the bottleneck. The Shopify theme had accumulated app bloat from years of trying tools and not removing them, the category architecture didn't match how customers actually shop (motor type, range, use case), and there was no Product or Offer schema anywhere — so even pages that ranked were doing it without the rich-snippet advantages competitors leveraged daily.

The Approach

The work happened in three phases over twelve months, prioritised so the technical fixes unblocked the architectural ones, which in turn unblocked the content ones.

Phase 1: Strip and stabilise (months 0–2)

App bloat was the first target. The Shopify install carried more than a dozen apps still injecting JavaScript and CSS into every page load — most of them for features that were no longer used. They were audited, removed, or replaced with lean theme code. The result was an immediate ~40% reduction in render-blocking script weight across category and product templates, and a Core Web Vitals profile that moved into the green band on mobile for the first time.

In parallel, the redirect map from earlier site iterations was reconciled. Old product URLs that 302'd into category pages were replaced with proper 301s to current product equivalents. Old collection slugs that had been replaced with cleaner variants got direct page-to-page redirects instead of the homepage-fallback they'd been bleeding equity through.

Phase 2: Category architecture (months 2–7)

The biggest structural intervention was rebuilding category navigation around how customers actually shop e-bikes — by use case, motor type, and range — rather than the inherited collection structure that mirrored supplier catalogues. Each new category got a real landing page with editorial copy explaining the use case, not just a product grid, and tightly-linked supporting content (buyer guides, "best for" comparisons, FAQ pages).

Internal linking was rebuilt around these clusters. Each category page became the hub for a set of supporting articles, with anchor text that was deliberate and consistent. The buyer-guide articles linked into category pages with the exact phrasing those categories were trying to rank for; product pages linked back up into the parent category cleanly.

Schema rolled out across templates. Product with Offer, AggregateRating where genuinely earned, and BreadcrumbList on every product and category page. FAQPage on the buyer guides. The schema was wired into the theme so that adding a new product produced valid JSON-LD automatically — no per-page editing.

Phase 3: Content depth and continuous tuning (months 7–12)

With architecture and signals in place, the final phase focused on content depth on the most commercially valuable categories. Pillar buyer guides for each major use case (commuting, cargo, off-road, folding) were written or rewritten to a length and depth that genuinely answered the buyer's questions, supporting articles filled in mid-funnel queries, and existing product pages got expanded copy that aligned with how buyers were actually searching.

SERP feature targeting brought featured snippets and PAA placements on the comparison and buyer-guide queries that drive the highest commercial intent. Quarterly crawl audits caught regressions — a theme update that introduced render-blocking scripts, an app reinstall that re-added duplicate analytics handlers — within days, not months.

The Outcome

Twelve months in, monthly organic traffic had grown by 250% to roughly 10,000 visitors — and crucially, the traffic mix had shifted. Branded search continued to grow steadily, but the meaningful gain was non-branded: comparison queries, category queries, and mid-funnel buyer-guide queries that previously sent zero traffic now sent thousands of visits per month each.

Top-of-funnel buyer guides ranked top-three for several high-volume queries, with featured snippets on the comparison-style searches that drive the highest click-through rates. Category pages started picking up positions they couldn't have held with the old architecture, and product pages saw rich snippets — price, availability, ratings — that competitors without schema simply weren't getting.

Two outcomes worth specific call-out. Add-to-cart events from organic grew faster than traffic itself, indicating the visitors arriving were better matched to commercial intent. And page-load speed on the heaviest category templates improved by close to 50% on mobile — a metric that affects both rankings and conversion in measurable ways for an e-commerce site at this scale.

Tools & Stack