LC ListCombinator

Operations & migration

Turn messy exported lists into a validated import file

Replace fragile copy-paste sequences with a repeatable pipeline: import locally, select values, normalize, validate, deduplicate, compare, and export in the target format.

Revenue operationsCRM administratorsData analystsMigration teams

The recurring problem

Why make this a workflow?

Exported data often contains whitespace, duplicates, mixed case, blank rows, tracking parameters, or malformed values. One-off spreadsheet cleanup is difficult to reproduce and review.

Inspectable pipeline

Recommended steps

  1. 1

    Import locally

    Read TXT, CSV, or JSON in the browser and inspect the row count before processing.

  2. 2

    Select and normalize

    Extract the required field, trim whitespace, normalize case, and remove empty values.

  3. 3

    Validate

    Filter values using deterministic patterns appropriate to emails, URLs, IDs, or allowed codes.

  4. 4

    Deduplicate and compare

    Keep stable first occurrences and compare against a suppression, existing, or reference list.

  5. 5

    Export safely

    Download a reviewed TXT, CSV, or JSON result without uploading the source dataset.

Concrete example

Reviewed output

[email protected]
[email protected]
2 unique valid-looking addresses

Visible steps

See which operation changed the count rather than hiding logic in a formula chain.

Recipe without records

Share the cleanup method while excluding contact or customer data.

Repeatable migration prep

Apply the same verified sequence to the next export.

Limits to review before production

  • Format checks do not prove an email inbox exists or that contacting it is lawful.
  • CSV encoding and multiline fields require careful preview before import.
  • Keep source backups and sample-check high-impact migrations.

Questions about this workflow

Can I import a CSV file?

Yes. Studio reads supported files locally and can extract or process values without an upload.

Does deduplication merge customer records?

No. It removes matching list values; entity-resolution and record merging need explicit business rules.

Can a coworker reuse the cleanup method?

Yes. Export or share a Recipe containing only operations and options, then provide the dataset separately through an approved channel.

Build the Recipe locally

Load the recommended deterministic steps, inspect every option, and run them against your own browser-local data.

Load this Recipe

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