Telegram Number Checking Workflow: Registration, Activity, and CRM Import

Telegram number checking should not be treated as a single upload that returns every possible detail. A reliable workflow separates four questions: whether the numbers are correctly formatted, whether Telegram registration needs to be confirmed, whether activity fields will change a current business action, and how the results will be imported into a CRM. For most teams, Registration Check comes first. Activity Check should be added only for a valid, current relationship where its fields support a defined decision.

The process below follows a list from source data to CRM. AppShai currently accepts TXT uploads and provides Excel exports after a task finishes. The input and output formats serve different purposes.

Step 1: define the decision before the check

Write a concrete question such as, “Which customers who selected Telegram service notifications have a registered number?” Avoid vague goals such as identifying high-quality users. The first question maps to a documented task and an auditable field. The second cannot be validated and invites the team to mistake platform status for purchase intent.

Use Registration Check when the decision concerns channel availability. Consider Activity Check only when offline time or active days will affect a current support or operations workflow. Do not process records with unknown provenance, an expired purpose, or an opt-out simply because a technical check is available.

Step 2: prepare a clean TXT file

Export only the CRM subset covered by the current purpose. Keep the internal customer ID, provenance, permission status, and known country in the internal working sheet. The upload file itself should contain phone numbers only. Normalize country codes, remove spaces, parentheses, hyphens, names, email addresses, notes, and headers, deduplicate, and save UTF-8 TXT with one number per line.

A country code should come from reliable customer or business data rather than a guess based on number length. A spreadsheet may be useful for internal preparation, but Excel and CSV are not accepted upload formats for the current AppShai task.

Step 3: run Telegram Registration Check first

Select Registration Check on the AppShai Telegram Number Checker and upload the prepared TXT. This task answers whether a phone number has a Telegram registration status. Its core Excel columns are the phone number and registration result. It does not also return activity, verified identity, marketing permission, or purchase intent.

For a large list, begin with a small sample. Reconcile sample rows with the source numbers before submitting the remainder. This exposes encoding, country-code, blank-line, duplicate, and CRM-export problems while they are still inexpensive to correct.

Step 4: add Activity Check only where necessary

Telegram Activity Check may return phone number, TG User ID, username, offline time, active days, first and last name, TG VIP status, and frozen status. More columns do not make it the default choice.

A legitimate use might be scheduling active support cases for customers who remain in a service relationship. Offline time and active days are time-bound support signals, not real-time surveillance. Usernames and names are user-controlled rather than verified identity, while VIP status is not a measure of spending power.

Step 5: validate the Excel export

Check the task name, export time, input and output counts, exception rows, and column headers. Sample several rows and reconcile them against the original TXT using the normalized number. Leave missing values unknown. Do not convert blank cells to “no” or derive a field that the selected service did not return.

Preserve the raw TXT, untouched Excel export, and a short acceptance record as read-only evidence. The record should state the task, check date, operator, input count, output count, exception count, and field version.

Step 6: import through a stable CRM key

Use an internal customer ID whenever possible. If the phone number is the only key, create one canonical E.164 column before matching. Add dated result fields such as Telegram check service, registration status, active days, and checked at. Do not overwrite the original number, provenance, permission, or opt-out history.

Run a simulated import or sandbox import first. Inspect duplicate keys, one-to-many matches, lost plus signs, and date formats. A number connected to multiple CRM records belongs in an exception queue; it should not be assigned arbitrarily.

A two-stage example

Consider a SaaS company working with people who requested a demo within the last 90 days and selected Telegram for meeting information. It exports that permitted subset, prepares TXT, and runs Registration Check. The result becomes a dated Telegram channel-status field. It then runs Activity Check only for registered numbers that remain in an open sales or implementation process, where the time-related fields can help schedule an existing conversation.

Registration is not treated as consent, and activity is not treated as a probability of purchase. Lifecycle stage still comes from forms, contracts, product use, and human communication. Number checking contributes only a channel-level signal.

Eight checks before delivery

1. The source and current processing purpose are documented.
2. TXT is UTF-8 with one number per line.
3. Country codes are confirmed rather than guessed.
4. Registration Check answers the channel question first.
5. Activity Check has a necessary, defined use.
6. Excel columns match the selected service.
7. CRM matching uses a stable key and a simulated import.
8. Raw files, check dates, and opt-out history are retained.