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.

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TL;DR — the strategic reframe

Wax Museum's Shopify is genuinely excellent. Do not pitch "faster / cheaper / better SEO" — every one of those claims is false for them, and Jackson will know it.

• Lighthouse: perf 99, SEO 100, a11y 93, JS-boot 17 ms. Fast.
• No paid search app (no Boost/Algolia "app tax" to save him).
• They already run a Discogs-sync app → their data is Discogs-native + condition-graded.

The pitch is the one thing Shopify + a Discogs-sync app structurally cannot give them: the cross-store AU market view — value, underpricing, scarcity, arbitrage, buy-side intel — built on data they already publish, so onboarding is near-zero-effort for him.

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1. Store snapshot

Site	waxmuseumrecords.com (Shopify, est. 2006, online since 2011)
Location	250 Flinders St, Melbourne CBD
Catalog	2,714 products / 2,459 live · total stock value ≈ $99k
Pricing	median $30, avg $40, range $1–650 — crate-digger pricing (853 items <$20, ~80% under $60)
Velocity	~255 sold / 30 days, sell-through ≈ 9.4%/mo (full turn ≈ 10 months)
Mix	Vinyl 1,883 · CD 222 · Books 41 · + LP/12″/7″ split + 437 uncategorised
Lean	Hip-hop / funk-soul / jazz / rock — a curated, second-hand crate store

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2. Technical & SEO audit — storefront is not the problem

Lighthouse (DealGod OSINT, 2026-06-16): perf 99 · SEO 100 · a11y 93 · best-practices 73 · page 2.4 MB · JS-boot 17 ms · platform Shopify · stack: PayPal, Shop Pay, GA, Shopify Analytics, Mailchimp.

Live audit:

• No third-party search app (Boost/Algolia/Searchanise absent) — runs native Shopify search.
• products.json open (HTTP 200) → full-catalog access for migration without even needing an Admin token (Admin API still better for inventory/cost).
• 0 JSON-LD on the homepage — no Organization/Store structured data → missed rich-result eligibility. (The one genuine SEO gap.)
• Security headers: grade F / 0 (no CSP/HSTS) — common on Shopify, low priority.

Verdict: the storefront is fast and SEO-clean. Gemini's "Shopify is slow / forces you onto search apps / API-throttles you" pitch does not apply to Wax Museum. The only storefront-side adds worth a sentence: structured data (Org + Product schema) and records-native search Shopify can't do.

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3. The killer finding — their data is already Discogs-native

Wax Museum runs a Discogs → Shopify sync app. Sample product:

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

Every listing carries Artist – Title (Format) (Grade) + Media/Sleeve condition + Country + Year. This is the cleanest possible feed — the hard part (clean Discogs metadata) is already done.

But DealGod is under-capturing it:

Signal	In their feed?	Captured in DealGod	Fix
Discogs release_id	derivable (perfect-format title + country + year)	26% (693/2,714)	tune the Discogs-format title parser → near-100%
Media/Sleeve condition	yes, every item	0%	parse Media/Sleeve Condition: from body
Country / pressing year	yes	partial	parse from body

→ This is a slam-dunk: we can light up near-total Discogs linkage + full grading from data they already publish. (Same pattern as the Disconnect/CommonGround stores — a reusable Discogs-sync ingest, not a one-off.)

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4. The gaps = the RecordGod value

Gap today	RecordGod delivers
74% of catalog unlinked to a release_id	link it → canonical + market value per item
Condition 0% structured (it's in the text)	Media/Sleeve grades as first-class fields
Only 13% valued vs the cross-store network (329/2,459)	value the rest → real AU market price per record
36% of valued stock priced below cross-store median	flag underpricing → direct $ to the register
No scarcity signal	"only copy in the network" rarity flags
No buy-side intel	restock + arbitrage radar (what to chase)
437 uncategorised + Vinyl/LP/12″/7″ split	normalise to format

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5. The hook to open with Jackson (lead with money, not infra)

1. "Here are N records you're underpricing vs the AU market." 36% of his valued stock sits below the cross-store median — and only 13% is even valued today because linkage is low. Linking the rest surfaces the full list. Real dollars, his data.
2. "Here are your only-copy-in-the-network rarities" — price those with confidence.
3. "All of this from your existing Discogs feed — you do nothing."

That's a demo, not a deck. It proves value in one screen.

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6. Onboarding plan — read-only intel layer, zero disruption

0. Connect — Shopify custom-app token (read_products / read_inventory / read_orders); or start from the already-scraped 2,714 + open products.json.
1. Link + grade — run the Discogs-format parser hard (26% → target ~90%+); extract Media/Sleeve condition + country/year from body.
2. Value + flag — cross-store value per item; underpricing list; scarcity; arbitrage.
3. Cockpit (read-only) over his live stock; webhooks keep it live (sales/restock/reprice).
4. Prove $, earn trust → only then discuss storefront/checkout — and even then in parallel, never a cutover. His Shopify is good; replacement is not the lead.

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7. Honest "do NOT pitch" list (protect the friendship + the reference)

• ❌ "We're faster than Shopify" — he's perf 99.
• ❌ "Save on the Algolia/Boost app tax" — he runs no search app.
• ❌ "Shopify API throttles you" — he's nowhere near limits; GraphQL bulk ops exist anyway.
• ⚠️ Fee savings — maybe (median $30, mostly sub-$60 → per-transaction fixed fees do sting), but model his real volume and remember Square also charges ~1.6–1.9%. Don't quote Gemini's invented "$2k/yr".
• ❌ "Shopify surveils your buyers" — unsubstantiated FUD; cut it.
• ✅ The win is records-native market intelligence, full stop.

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8. DealGod-side actions this surfaced (benefit ALL Discogs-sync stores)

• Parse Media/Sleeve condition from body_html (Media Condition: … / Sleeve Condition: …) → products.condition. Currently 0% for a used-record store.
• Lift the Discogs-format match rate — titles are Artist - Title (Format) (Grade); strip the trailing (…)(…) + use body Country/Year as the disconnect-matcher already does. 26% → 90%+.
• Both reusable across the Disconnect/CommonGround/Discogs-sync store family.

9. Data to capture next (ask John / popup)

• Social reach — IG/FB not yet captured for waxmuseumrecords; popup-capture for the dossier.
• Margin intel — Admin API cost per variant (needs Jackson's token) → true margin, not just market delta.
• Condition parser sample — a few product pages to confirm the body format is 100% consistent before shipping the parser.

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Bottom line: don't sell Jackson a new storefront — his is excellent. Sell him the brain that turns his already-clean Discogs feed into an AU-market pricing & buying advantage Shopify can't touch. Near-zero lift for him, immediate dollars, and a clean reference store that isn't you.