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Michael e1f364f010 feat: Tier B operator scaffolding — bundle, copy SoT, posts, emails

Pick up and finish yesterday's cut-off Tier B pass.

- build/: PyInstaller scaffold (datatools.spec + launcher.py +
  hook-streamlit.py + README) — folder-mode bundle, locked
  127.0.0.1, per-OS recipe
- marketing/COPY.md: single source of truth for every customer-facing
  string — landing H1/sub/CTAs, demo CTAs, email subjects, Gumroad
  listing, banned phrases
- marketing/community-posts/: 9 drafts (3 posts × 3 niches:
  bookkeeper, revops, shopify-pet) — story / tip / soft-offer
- marketing/emails/: 18 drafts (Gumroad delivery + 5-touch
  onboarding × 3 niches), per-niche segmentation guidance
- docs/NEXT-STEPS.md: flip 2.2 / 2.4 / 3.1 / 3.4 to done with
  pointers to the new assets; add Phase 0 inventory rows
- .gitignore: narrow `build/` ignore so PyInstaller spec + launcher
  + hooks get tracked, only generated artifacts (build/build/,
  build/__pycache__/, build/dist/) stay ignored

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-02 14:04:37 +00:00

1.7 KiB

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Shopify-pet · Day 1 — Try it on this Shopify customer export first

Subject: Try it on this Shopify customer export first Send: Day 1, ~9am buyer-local-time

Hi {{first_name}},

Yesterday's email had your download. Today's email has a file — a synthetic Shopify customer export I built specifically to break things Klaviyo silently chokes on.

→ {{sample_file_url}} (480 KB CSV, 2,200 rows — fully synthetic, no real customer data)

What's hidden in there:

Phone numbers in 6 different formats ((415) 555-0143, 415.555.0143, 4155550143, +44 20 7946 0958 without country field, +1-415-555-0143 ext 12, 415 555 0143)
Email addresses with embedded zero-width spaces (looks identical to a clean email; Klaviyo treats as different addresses)
~80 obvious customer duplicates (same email, different case)
~40 cross-row duplicates (different email, same name + same shipping address — usually the same person ordering with two emails)
Shipping addresses with mixed St. / Street / St / STREET for the same street name
12 customers from outside North America with country field blank

Drop it into DataTools. Click "Run all" in the analyzer. Then run format → dedupe → text-clean → gate in that order.

Look at the gate report at the end — it'll tell you exactly which rows would have broken Klaviyo, with a one-line "why" per row.

If you want to see the difference: import the raw file to a test Klaviyo list, then import the cleaned file to a different test list. Compare the SMS-deliverable count. The delta is what you've been losing every month.

Reply and tell me what it caught (or missed) — v1.1 detector improvements come from real-world feedback.

— Michael {{support_email}}

1.7 KiB Raw Blame History

Shopify-pet · Day 1 — Try it on this Shopify customer export first

1.7 KiB

Raw Blame History