Skip to content
Academy
Marketing Academy · Field Work●Marketing Tools
MiniTeardown· 20 minutes

The Pre-Import Teardown: Catching Dirty Data Before It Hits the CRM

Blue Bottle Coffee

Objective: Given a 12-row CSV export about to be imported into a new CRM, find every defect the lesson's Common Beginner Mistakes callout warns about before an automated welcome sequence goes out.

You're reviewing a CSV export of 12 contact records a Blue Bottle Coffee wholesale-side intern is about to import into a brand-new HubSpot CRM.

Find every defect before this import goes live and auto-enrolls into a welcome-email sequence.

Before you start

What you'll need

Free path (everything below is enough to finish)

FreemiumImport destination, review contact records before/after cleanup

Free forever plan, built-in duplicate detection

FreeClean the CSV before importing

Free, easy to dedupe and flag blank fields

The process

Specimens to review

You have 15 minutes before this list gets imported and auto-enrolled into a welcome-email sequence. Which rows do you fix or pull before import, and why?

Sample output
CSV export, 12 rows (synthetic)

Name | Email | Company | Stage | Notes
J. Rivera | jrivera@gmail | Roast&Co | (blank) | called 3x
Maria Chen | maria.chen@wholesalecafe.com | Wholesale Cafe | New Lead | 
Maria Chen | m.chen@wholesalecafe.com | Wholesale Cafe | Proposal Sent | duplicate of above, diff email format
Tom O | (blank) | | New Lead | met at trade show
Sarah K. | sarah@brewhub.com | BrewHub | Won | first order placed 3/2026, date only in Notes
Dave Nguyen | dave@urbanroast.com | Urban Roast | New Lead | asked NOT to be contacted again
... 6 more rows, unremarkable

Specimen: synthetic, realistic

Final deliverable

A cleaned import list with every critical defect fixed or the row pulled, plus a one-line note on why each fix mattered.

See a reference example
Sample output
DRUNK ELEPHANT, wholesale contact cleanup (excerpt)

PULLED: 2 rows with no email (auto-enrollment can't reach them)
MERGED: 1 duplicate contact (two email formats for the same buyer)
FLAGGED: 1 contact marked do-not-contact in free text -- moved to a structured opt-out field before import

9 of 12 rows imported clean; 3 required a fix first.

Success criteria

You're done when you can:

  • Identifies both duplicate Maria Chen rows as one issue, not two separate defects
  • Catches the missing-stage and missing-email rows
  • Correctly does not flag the two distractor items as critical defects