RECORDGOD/WAXMUSEUM_DEEPDIVE.md

Wax Museum Records — RecordGod Deep-Dive & Onboarding Report

Prepared from DealGod data (catalog scrape, Lighthouse/OSINT, cross-store arbitrage) + live-site audit. First enterprise onboarding target — Jackson, free year as a non-self test case + co-design partner.

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TL;DR

Wax Museum's Shopify is technically excellent (Lighthouse perf 99 / SEO 100, fast, no search-app tax) and their data is already Discogs-sync-native (clean titles, Media/Sleeve grades, country/year). So do not pitch "faster / cheaper / better SEO" — all false, Jackson will know.

But "technically excellent" ≠ "feature-complete for a record shop." Lighthouse measures speed and crawlability, not whether a digger can browse by label or staff can refile a crate. RecordGod's value lands across three layers Shopify + a Discogs-sync app structurally can't touch:

• A — Discovery (customer frontend): clickable genre/artist/style/label, audio samples, find-in-store.
• B — In-store operations: item location, store map, A-Z refile/crate-reorg. Nothing else solves this. Daily. Stickiest.
• C — Market intelligence (backend): cross-store value, underpricing, scarcity, arbitrage.

Intel (C) is the dollars. Ops + discovery (A/B) are the habit. Pitch all three; lead the demo with C's money and B's daily-use stickiness.

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1. Store snapshot

Site	waxmuseumrecords.com (Shopify, est. 2006, online since 2011), 250 Flinders St Melbourne CBD, mail M365
Catalog	2,714 products / 2,459 live · stock value ≈ $99k
Pricing	median $30, avg $40, range $1–650 — ~80% under $60 (crate-digger pricing)
Velocity	~255 sold / 30 days, sell-through ≈ 9.4%/mo (~10-month turn)
Mix	Vinyl 1,883 · CD 222 · Books 41 · + LP/12″/7″ split + 437 uncategorised
Lean	Hip-hop / funk-soul / jazz / rock — curated second-hand

2. Technical / SEO audit — storefront speed is NOT the gap

Lighthouse (2026-06-16): perf 99 · SEO 100 · a11y 93 · best-practices 73 · page 2.4 MB · JS-boot 17 ms · Shopify · stack PayPal/Shop Pay/GA/Mailchimp. Live: no third-party search app · products.json open (full-catalog access) · 0 homepage JSON-LD (the one genuine SEO gap — no Org/Product schema → no rich results) · security headers F (common Shopify, low priority). Verdict: the box is fast and clean. The gaps are features and operations, not milliseconds.

3. Data foundation — already Discogs-native (why this is cheap to light up)

They run a Discogs → Shopify sync. Every listing:

Title Deep Purple - 24 Carat Purple (LP, Comp) (Very Good Plus (VG+)) · Body Media Condition: VG+ · Sleeve Condition: VG+ · Country: Japan · Released: … · Tags Comp, Hard Rock, LP, Rock · Vendor = label.

The hard part (clean Discogs metadata + grading) is done. But DealGod under-captures it — condition 0% structured (it's in the text), release_id only 26% (693/2,714, despite perfect-format titles). Fixing that powers all three layers from data they already publish.

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4. THE THREE LAYERS — feature matrix

Legend — Have: exists in DealGod today · Low/Med/High: build effort · ❌ S/D: Shopify and a Discogs-sync app structurally can't do it.

A — Discovery (customer-facing frontend)

Feature	Today at Wax	RecordGod	❌ S/D	Effort
Clickable genre / artist / style / label facets (Discogs-style browse)	dead-text tags only	release_id → artist_id/genre/style/label → click any → that whole catalogue	❌ (theme shows static tags)	Low (data exists)
Audio samples (listen-before-buy)	none	per-pressing preview pipeline	❌	Med–High (sample source)
Find-in-store (customer: "in stock, Crate 12")	none	item-location surfaced on the product	❌	Med (needs layer B)
Rich structured data (Product/Org schema → rich results)	0 JSON-LD	emit schema from canonical data	partial	Low

B — In-store operations (the deepest moat — nobody else even tries)

Feature	Today at Wax	RecordGod	❌ S/D	Effort
Item physical location (crate / shelf / bin per record)	none	location field per item, set on intake	❌	Med (schema + capture)
Store map / find-on-map (pick & locate visually)	none	floor map → highlight the crate	❌	Med (map UI)
A-Z refile / crate-reorg with directional arrows	none	staff tool: "← back 3 / → fwd 2, Crate H–K" for returns, mis-files, new stock	❌	Med — the killer daily tool
Intake / restock workflow	manual / Discogs	scan-in → graded, located, priced, listed	❌	Med

C — Market intelligence (backend $)

Feature	Today at Wax	RecordGod	❌ S/D	Effort
Cross-store value per record (AU network)	13% valued (329/2,459)	value the rest via release_id	❌	Have
Underpricing flags	none	36% of valued sit below cross-store median → list them	❌	Have
Scarcity ("only copy in network")	none	uniqueness scan	❌	Have
Arbitrage / buy radar	none	what to chase, below-median/melt	❌	Have
Condition (Media/Sleeve) structured + searchable	in text, 0% structured	parse → first-class graded fields	sync has text only	Low
Reorder / distributor intel	none	restock signals	❌	Roadmap

Read of the matrix: Layer C is mostly Have (immediate $ demo). Layers A/B are mostly build — but they're the differentiators Shopify can never ship, and they're daily-use (A every customer visit, B every staff shift). That's what makes it sticky, not just impressive.

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5. The hook + sequencing for Jackson

1. Money first (C, today): "Here are N records you're underpricing vs the AU market" + "your only-copy rarities." Built from his existing feed, one screen.
2. Habit next (B, co-build): the refile/locate/crate tools his floor staff use every shift — designed with him in his actual shop.
3. Discovery (A): Discogs-style browse + samples for his customers.

6. Onboarding plan — read-only intel first, co-design ops second

0. Connect — Shopify Admin token (read_products/inventory/orders) or the already-scraped 2,714 + open products.json.
1. Link + grade — Discogs-format parser (26% → ~90%+) + Media/Sleeve condition.
2. Value + flag (C) — cockpit read-only over live stock; webhooks keep it live. Prove $.
3. Co-design (B) — build crate-location / refile / map in his shop (he's the design partner, not just a reference).
4. Discovery (A) — facets + samples on the customer side.
5. Storefront/checkout — only if the fee math holds, in parallel, never a cutover. His Shopify is good; replacement is not the lead.

7. Pitch discipline — what NOT vs what TO say

Don't (false for them): faster than Shopify (perf 99) · save the search-app tax (no app) · Shopify API throttles you (not near limits; bulk ops exist) · "Shopify surveils your buyers" (FUD — cut it). Fee savings = maybe, model his real volume, Square also charges ~1.6–1.9% — don't quote invented numbers. Do: the three layers above — records-native discovery + in-store ops + market intelligence, none of which Shopify or a Discogs-sync app can do, most of it from data he already publishes.

8. DealGod-side actions this surfaced (help every Discogs-sync store)

• Parse Media/Sleeve condition from body_html → products.condition (0% today).
• Lift Discogs-format match rate (strip trailing (Format)(Grade) + use body Country/Year) — 26% → 90%+.
• Both reusable across the Disconnect/CommonGround/Discogs-sync family.

9. Capture next (John / popup)

• Social reach (IG/FB — not captured) for the dossier.
• A few product pages to confirm the body grading format is 100% consistent before shipping the condition parser.
• Admin-API cost per variant (Jackson's token) → true margin, not just market delta.

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Bottom line: his Shopify is a great cash register and catalogue — leave it. RecordGod is the record-shop operating system layered on top: Discogs-deep discovery for customers (A), a crate/refile/locate system for the floor (B), and AU-market pricing intelligence for buying (C). Jackson isn't just the reference store — he's the co-design partner for the in-store ops layer no platform has ever built.