# 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

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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}}