Desenvolvimento de Site de Joias de Época e Vintage

Shopify's product model is built for uniform goods with fixed variants like size and color. Estate jewelry is the opposite: every piece is unique, carries a specific period (Victorian, Edwardian, Art Deco), may be signed by a known maker, and needs provenance documentation attached. Shopify gives you a title, description, and variant fields. It does not offer structured period taxonomy, maker attribution as a filterable field, or provenance document attachment at the product level. When a collector searches for 'Art Deco platinum filigree bracelet,' Shopify's search engine scans free text and often returns nothing useful. You lose that buyer to 1stDibs, where the same piece sits behind a 15-20% commission. A custom build structures every data point as a filterable, schema-marked field that both human buyers and Google can parse.

We build six core period taxonomies as standard: Georgian (pre-1837), Victorian (1837-1901), Edwardian (1901-1920), Art Nouveau (1890-1910, overlapping), Art Deco (1920-1939), Retro (1939-1950), and Mid-Century Modern (1950-1970). Each period gets its own landing page with editorial context, representative inventory, and JSON-LD FashionPeriod schema markup. We also support sub-periods and transition categories. For example, late Victorian pieces with early Art Nouveau motifs can carry dual attribution. This taxonomy becomes a first-class filter alongside maker, metal, gemstone, price, and condition, so your collectors can drill from 'Art Deco' to 'Art Deco, platinum, diamond, signed Cartier' in three clicks.

We build a maker database as a content type in your CMS, not a tag. Each maker entry includes name, active dates, hallmark images, biography, and related inventory. Out of the box, we populate the top 40-60 makers your inventory references: Cartier, Van Cleef & Arpels, Tiffany & Co., Bulgari, David Webb, Boucheron, Verdura, JAR, Suzanne Belperron, Raymond Yard, Oscar Heyman, and more. You can add new makers as inventory arrives. Every maker page aggregates all attributed pieces, becoming a landing page for collectors who follow specific houses. The maker field is schema-marked with the Brand property so Google associates your signed pieces with the correct entity. This drives rich results and AI citation for queries like 'Verdura cuff bracelet for sale.'

Yes. We build an auction comparable module on each product page. You or your team can attach links to relevant lots from Christie's, Sotheby's, Bonhams, Heritage Auctions, or Doyle. The module displays the hammer price, sale date, lot number, and auction house. For pieces with direct provenance from a specific sale, we link the exact lot. For comparable pricing context, we link similar pieces by maker, period, and type. This gives your buyers immediate validation. When a collector sees your signed Van Cleef & Arpels Art Deco bracelet priced at $38,000 and the comparable module shows a similar lot hammered at $42,000 at Christie's Geneva, the pricing conversation is already won. Average time-to-purchase drops significantly on pieces above $10,000.

We build bi-directional inventory sync between your custom CMS and 1stDibs via their dealer API. When you publish a piece on your site, it can automatically push to 1stDibs with mapped fields: period, maker, materials, dimensions, condition, and pricing. When an inquiry comes in through 1stDibs, it pulls back into your unified pipeline alongside direct site inquiries. The goal is reducing 1stDibs dependency over time. You start by syndicating your full inventory, then progressively drive direct traffic to your own site through structured data, period landing pages, and maker pages that rank organically. Dealers we have worked with typically reduce 1stDibs commission spend by 25-40% within 12 months as direct traffic grows, saving $15,000 to $60,000 annually depending on volume.

The appraisal request flow is a structured form that captures piece description, photos, any known provenance, and the type of appraisal needed (insurance replacement, fair market value, or estate/probate). Submissions route into your admin dashboard with status tracking: received, under review, appraisal in progress, complete. For NGJA and AGTA member dealers, we format the output to match their documentation standards. The system also supports memo requests for dealers who ship pieces on approval. Memo tracking includes ship date, expected return date, insurance value, and status. Automated reminders fire at 7 and 14 days. This workflow replaces the email threads and spreadsheets that cost estate dealers an estimated $12,000-$25,000 per quarter in lost or forgotten memo follow-ups.

Builds range from $25,000 to $80,000 depending on four factors. First, inventory volume: migrating 200 pieces with provenance docs costs less than migrating 3,000 pieces with auction cross-references. Second, marketplace integrations: 1stDibs sync alone is simpler than 1stDibs plus RubyLane plus Invaluable. Third, editorial depth: some dealers want period guide pages with 2,000 words of editorial content per era, which adds content architecture and copywriting. Fourth, custom photography workflows: if you need an intake pipeline that captures, tags, and publishes piece photography with condition annotations, that adds scope. A typical mid-range build at $45,000-$55,000 includes the full period taxonomy, maker attribution engine, provenance docs, 1stDibs sync, appraisal workflow, and migration of up to 800 pieces.

Yes, and this is where the structured approach pays off. Each period landing page targets queries like 'Art Deco jewelry for sale' or 'Edwardian diamond ring.' Each maker page targets queries like 'Cartier vintage bracelet' or 'David Webb enamel bangle.' We mark up every product with JSON-LD schema including FashionPeriod, Brand, material, condition, and price. Google's structured data guidelines for products favor this level of specificity. In our experience, estate jewelry sites with structured period and maker taxonomy achieve first-page rankings for 30-50 long-tail queries within 4-6 months of launch. These are high-intent queries from collectors ready to buy. Combined with AI-generated overview citations that pull from your period guide content, you capture traffic that currently goes to 1stDibs, Invaluable, or competitors with better site structure.