Use-case playbook

A safe WhatsApp contact list cleaning workflow

Contact list cleaning is more than checking every row. A reliable workflow preserves source data, normalizes identifiers, removes duplicates, separates completed results from retryable failures, and records why each contact was kept, corrected, suppressed, or held for review.

Reviewed July 21, 2026

What should a cleaned contact record contain?

Keep the original number, normalized E.164 number, normalization status, selected verification product, completed result or retry state, verification timestamp, and routing decision. Never collapse invalid input, registered=false, and a temporary service failure into one rejected bucket because each requires a different next action.

Use a staged pipeline instead of one pass/fail column

Each stage should add evidence without destroying the input needed to diagnose mistakes.

  1. 1

    Preserve the source row

    Assign a stable record ID and retain the original phone value, source, import time, and available country context.

  2. 2

    Normalize and deduplicate

    Create one E.164 value, flag ambiguous rows for correction, and group records that normalize to the same identifier.

  3. 3

    Run the minimum required check

    Use ws for registration hygiene. Request avatar or Business fields only when a documented workflow needs them.

  4. 4

    Classify the outcome

    Separate registered, unregistered, invalid, retryable, and billing-blocked records.

  5. 5

    Route with consent controls

    Combine the technical result with your consent, suppression, recipient-preference, and jurisdiction rules before any outreach.

Recommended output model

A structured output makes corrections, retries, and audits possible without re-importing the original file.

FieldPurposeExample
source_phonePreserves the imported value+1 (415) 555-2671
normalized_phoneCanonical matching and request identifier+14155552671
normalization_statusSeparates valid, corrected, and ambiguous inputvalid / needs_review
verification_statusSeparates completed decisions from operational failuresregistered / unregistered / retry
verified_atShows when the point-in-time result was obtainedISO 8601 timestamp
routing_decisionRecords the workflow action and reasonkeep / suppress / review

Queue large lists around synchronous limits

The API checks one number per request. A client-side batch or backend worker should control concurrency, observe the per-user rate limit, and retry only operational failures.

  • Keep at most three checks in flight per user unless the published contract changes.
  • Stay within 200 requests per minute across dashboard and API use.
  • A 429 is not charged; retain the row and submit it again after the window or concurrency slot recovers.
  • Retry 503 and undetermined outcomes later; do not retry completed registered=false results.
  • Checkpoint progress so a stopped job resumes without repeating completed rows.

Quality and compliance checks before export

A technically registered number can still be inappropriate for outreach. Final routing should remain accountable to the organization using the data.

  • Apply existing opt-out and suppression lists after normalization so formatting differences cannot bypass them.
  • Restrict exported fields to the teams and systems that need them.
  • Set a review or expiry policy based on the business purpose instead of assuming results never change.
  • Document the lawful purpose, consent source, and recipient preferences outside the verification result.