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How to Clean a Telegram Customer List: Formatting, Activation Checks, Activity Tiers, and CRM Write-Back
Using a mixed-country customer list as an example, this article explains the sequence for cleaning a Telegram customer list: first unify numbers to E.164 and deduplicate, then split by country, run basic number checks and Telegram activation checks, and finally segment by Last seen ranges and write results back to CRM. It also clarifies why "not found" does not mean unregistered and how to interpret results like "a long time ago."
How to Filter Telegram Numbers: Processing Order and How to Classify Invalid Results
Telegram number filtering follows five steps: normalize number format, deduplicate, run basic validation, run Telegram registration checks, and write results back to CRM in tiers. This article explains what each returned field means and why privacy settings cause some registered numbers to land in the invalid group.
How to Filter Telegram Numbers from a CSV: List Cleanup, Batch Upload, Field Interpretation, and CRM Write-back
Using a multi-country contact CSV as an example, this article explains the preparation order before Telegram bulk checking: keep record IDs, unify to E.164 format, deduplicate after normalization, split by country into batches, and save as UTF-8. It also explains the meaning of result fields such as registered, active, and banned, clarifies the 'not found' cases caused by privacy settings, and how to write results back to CRM using record IDs.
How to Integrate a Telegram Number Screening API: List Cleaning, Asynchronous Submission, Result Fields, and CRM Write-Back
A step-by-step guide to integrating a Telegram number screening API: clean phone numbers to E.164, submit in batches by country, receive results via Webhook, and write back to CRM by valid and invalid groups.
Telegram Number Screening: List Cleaning Order, Online Status Fields, and Privacy Boundaries
A practical guide to screening a phone number list against Telegram: normalize to E.164, deduplicate, split by country, interpret the four fuzzy Last seen ranges, and write grouped results back to CRM.
