The luxury jewellery market is expected to remain resilient despite geopolitical uncertainty. While the current macro landscape and high commodity prices remain headwinds, growth opportunities remain in Asia, supported by stronger regional demand and interest in customisable designs (Bain).
| Company / brands | Scale / stores | Why it matters |
|---|---|---|
| Swarovski | 2024 revenue EUR 1.906bn; Asia growth +3%; 2,300 boutiques globally in 140 countries. | Closest branded accessible-luxury peer for gifting, self-purchase and broad mall-based traffic. |
| Chow Tai Fook | FY2025 revenue HK$89.7bn; 6,274 Mainland China POS; Hong Kong and Macau network at 87 POS. | Most relevant Asia retail-scale benchmark, especially for Greater China traffic and jewellery demand. |
| Cartier / Tiffany / Bulgari | Richemont Jewellery Maisons FY2025 revenue EUR 15.3bn; LVMH Watches & Jewellery 2025 revenue EUR 10.5bn. | Useful as price-tier and brand benchmarks, but not considered as direct like-for-like competitors. |
Singapore, Japan, Hong Kong, Macau, and Taiwan.
Asia-Pacific like-for-like growth.
Asia Pacific concept stores at Q4 2025.
Questions Which collections, price bands, metals, charms, rings, and gifting sets drive revenue, margin, and repeat purchase?
How I derive it POS sales + product hierarchy + gross margin + discount + return data, summarized by SKU/category/store/market.
ACTIONABLE INSIGHT Eg. Japan sales are up 9%, but 60% of the growth comes from high-margin charms and bracelets, while discounted rings add volume but dilute margin by 2 percentage points.
Sample Japan growth mix by category
Questions Are sales coming from first-time buyers, repeat customers, gift buyers, bridal buyers, tourists, or promotion-only buyers?
How I derive it Customer ID, transaction history, recency/frequency/value, product basket, and channel data.
ACTIONABLE INSIGHT Eg. Taiwan's repeat customers buy less frequently than Japan, but have a 15% higher basket when campaigns feature gifting bundles.
Questions Which items are fast-moving, out of stock, aged, or in the wrong store? Are ring sizes and core SKUs available where demand exists?
How I derive it Inventory on hand, weeks of cover, sell-through, stockout days, aged inventory, store transfer history, and size availability.
ACTIONABLE INSIGHT Eg. Hong Kong Store A missed 6% sales upside because core availability was 92% and five ring sizes were repeatedly out of stock during weekend peak trading.
Questions Which stores beat comparable peers? Which stores depend too much on discount? Which sales teams convert traffic into higher basket value?
How I derive it Store sales, traffic, conversion, average transaction value, units per transaction (UPT), sales per staff hour, rent/store type, mall cluster, and store maturity.
ACTIONABLE INSIGHT Eg. Singapore Store B has flat sales, but sales per staff hour is 11% above peer stores; the issue is traffic, not team productivity.
Questions Did a campaign bring incremental demand, or just shift purchases forward? Did margin fall faster than volume grew?
How I derive it Promo calendar, pre/post sales, control stores, gross margin, customer acquisition, repeat behavior, and cannibalization checks.
ACTIONABLE INSIGHT Eg. A 14% campaign sales increase becomes only 6% true uplift after adjusting for holiday timing and pull-forward, with 2 percentage points of margin dilution.
Sample campaign uplift bridge
Questions What should each market stock before Valentine's Day, Mother's Day, Golden Week, Lunar New Year, Christmas, and local pay cycles?
How I derive it Historical daily sales, market calendar, tourist flow, campaign timing, product mix, and stock availability by week.
ACTIONABLE INSIGHT Eg. Macau should forecast by visitor-flow days, while Japan needs earlier stock positioning before Golden Week and Mother's Day gifting weeks.
Sample event index vs normal trading day
Questions Are customers browsing but not buying? Does appointment booking, online research, or in-store service drive conversion to sales?
How I derive it Digital traffic, store traffic, appointment data, conversion rate, basket, CRM follow-up, and online-to-store indicators where available.
ACTIONABLE INSIGHT Eg. Hong Kong tourist-heavy stores may need product availability and fast gifting conversion; local stores may need clienteling and repeat purchase follow-up.
Sample journey conversion funnel
I would keep the forecast simple enough for country teams to challenge, but rigorous enough to explain daily store revenue. The method is a store-level time-series forecast with commercial adjustments for weekday pattern, seasonality, campaigns, and stock availability.
Daily store forecast = baseline daily sales x day-of-week index x occasion/seasonality index x campaign uplift x stock availability factor
| Input | Sample value | Meaning |
|---|---|---|
| Baseline daily sales | DKK 100,000 | Normal sales after excluding major events and stockout days. |
| Day-of-week index | 1.35 | Saturday usually sells 35% above an average trading day. |
| Occasion index | 1.20 | Mother's Day week historically creates 20% higher gifting demand. |
| Campaign uplift | 1.08 | Planned local campaign is expected to add 8%. |
| Stock availability | 0.95 | Core availability is 95%, so I reduce for lost sales risk. |
| Market | Sample monthly forecast | Key forecast driver | Management action |
|---|---|---|---|
| Japan | DKK 42.0m, +7% to +11% | Occasion demand, conversion, and product newness. | Protect stock for bestsellers and size-sensitive products before campaign weeks. |
| Taiwan | DKK 18.4m, +3% to +6% | Basket mix and gifting bundles. | Track attachment rate and repeat-customer response by store team. |
| Singapore | DKK 15.7m, 0% to +3% | High-rent store productivity and traffic. | Review sales per staff hour, conversion, and tourist/resident mix. |
| Hong Kong | DKK 21.1m, -2% to +2% | Tourist/local split and stock availability. | Cluster stores before comparing performance; fix stock gaps before discounting. |
| Macau | DKK 8.6m, +2% to +8% | Visitor-flow volatility and event calendar. | Use event-calendar factors instead of a flat monthly run-rate. |
The market values above are illustrative samples to demonstrate the method and decision logic, not actual Pandora internal numbers.
My first 90 days would be to DEFINE the management/business questions, map the source data required to BUILD and test the data models before I progress to OPERATIONALISE & AUTOMATE the generation of necessary business insights.
1. Pandora Q1 2026 company announcement: Asia-Pacific LFL growth was 12%; Pandora also cited external headwinds from tariffs, commodities and foreign exchange, plus elevated economic and geopolitical uncertainty.
2. Pandora's Q4 2025 investor presentation: 476 Asia Pacific concept stores.
3. Bain & Company Luxury Study 2025 and Bain November 2025 update: personal luxury goods broadly stabilized in 2025, while jewellery was one of the stronger categories with expected growth of 4% to 6%.
4. World Gold Council Gold Demand Trends 2025: record gold prices created affordability pressure, reducing jewellery volumes even as demand value hit a record.
5. Swarovski 2024 results press release: 2024 revenue was EUR 1,906m, jewellery organic growth was 9%, Asia growth was 3%, and Swarovski had 2,300 boutiques in around 140 countries. APAC revenue and APAC store count were not separately disclosed.
6. Chow Tai Fook FY2025 results and HKEX annual report filing: FY2025 revenue was HK$89,656m, the group operated 6,274 Chow Tai Fook Jewellery POS in Mainland China, and the Hong Kong and Macau retail network was maintained at 87 POS.
7. Richemont FY2025 results: Jewellery Maisons sales reached EUR 15.3bn.
8. LVMH Watches & Jewellery: revenue was EUR 10,486m in 2025 across nine maisons.