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Delivered
Shopify technical audit
Outcome-ready implementation
Ere Perez had the one thing most DTC brands spend years trying to earn: trust. The products were proven, the audience was loyal, and press coverage validated category authority. The commercial gap was not brand desirability, it was store architecture.
High-intent users were arriving but not progressing. Collection and product journeys were visually strong yet conversion-thin, with limited structural SEO depth and no meaningful AI-search readiness layer. Critical utilities like shade discovery existed, but were not orchestrated as funnel drivers.
Claraverse took ownership of the store as an operating growth partner, not a one-off project vendor. The model was compounding execution: technical hygiene, funnel redesign, merchandising logic, and content infrastructure running in one monthly rhythm. By month six, the store foundation, page architecture, and discoverability stack were aligned to convert demand more efficiently and capture higher-quality organic traffic over time.
Traffic reached high-intent pages, but weak hierarchy, limited trust signaling, and suboptimal CTA flow created preventable drop-off before purchase.
The store lacked structured topical coverage, schema depth, and entity reinforcement required to rank broadly and appear as a cited source in AI-generated answers
Theme inefficiencies, metadata inconsistency, and performance friction across the catalog constrained Core Web Vitals, crawlability, and the upside of content investments.
Executed a full Shopify technical remediation program across performance, metadata, redirect hygiene, and theme-level inefficiencies, then established monthly preventative maintenance.
Re-architected collection, product, and shade-discovery pathways around buyer intent, improving content hierarchy, trust placement, merchandising flow, and add-to-cart continuity.
Built a compounding discoverability layer with intent-driven content clusters, structured schema, FAQ architecture, and entity reinforcement for both traditional and AI-mediated search surfaces.
A 5-Step Execution Plan That Transformed Chaos into Bookings
Resolved high-priority speed, crawl, and metadata blockers to remove immediate growth constraints.
Reworked journey logic from entry source to checkout across top-revenue page groups.
Deployed commercial-intent content and optimized collection copy against priority query clusters.
Implemented schema depth, FAQ structures, and entity signals to improve AI answer engine visibility.
Continued monthly cycles of technical upkeep, content production, and funnel iteration tied to KPI reviews.
A conversion-first execution stack designed to compound performance, trust, and repeat revenue.
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