Article summary
Advanced TG checking starts with a field contract: define the decision, task, output schema, exceptions and CRM write rules before processing the TXT list.
Advanced Telegram number checking is defined by a field contract, not by the width of the Excel workbook. Before a result enters CRM, the contract should name the business decision, TG task, expected columns, unknown-value policy, destination, expiry rule and owner.
Without that contract, the same activity field can be treated as purchase intent by sales, permission by marketing and real-time status by engineering. The data has not changed; the organization has assigned incompatible meanings to it.
Write the decision before the schema
Turn the request into a falsifiable sentence: “For existing customers with a recorded source, return TG registration status so support can choose an available channel.” This defines population, question and intended action. Username or activity analysis should be a separate request.
“Collect as much as possible” is not a decision and cannot produce an acceptance test.
Contents of a useful field contract
| Contract item | Example | Control created |
|---|---|---|
| Task | TG activity check | Locks the output schema |
| Allowed population | Existing customers with documented source | Limits processing scope |
| Input key | Normalized phone number | Connects TXT preparation and reconciliation |
| Expected fields | UserID, username, offline time, active days and account states | Stops informal field expansion |
| Unknown rule | Blank remains unknown | Prevents false negatives |
| Write pattern | Append an observation | Preserves history |
| Expiry | Set from purpose and risk | Stops old results becoming permanent facts |
TG services are not accuracy tiers
TG registration checking returns phone number and registration status. The activity task adds TG UserID, username, user offline time, active days, first and last names, VIP state and frozen state. Gender-and-age checking adds avatar URL, age and gender; full format adds skin tone, avatar type and people count.
These services answer different questions. Full format is not a more accurate version of a registration check when registration is the only decision.
Use three data objects for one run
| Object | Stores | Must not do |
|---|---|---|
| source_contact | Internal ID, raw number, source and permission | Send unrelated CRM data |
| check_batch | Batch, task, date, TXT line count and rule version | Use “latest file” as an identifier |
| check_observation | Returned fields, exceptions and mapping state | Overwrite previous observations |
A business view can select the latest approved observation while the underlying history remains available for explanation and rollback.
Create a deterministic bridge from TXT to Excel
Keep a local map between internal contact ID and normalized phone number. Submit only a TXT file containing one number per line. Load the AIPUSH Excel result into staging and reconcile it with the same normalization rule.
Store phone number, TG UserID and username separately. A username can change and should not replace the company’s stable contact ID. One number linked to several contacts, duplicate returned rows and failed joins belong in an exception queue.
Give unknown a formal state
Blank, not returned, formatting error, task-not-applicable and an actual negative are different conditions. Use a result status and exception reason instead of filling every non-value with zero or false.
The unknown rate is itself a quality measure. A sudden increase should trigger review of source mix, normalization version and result schema before anyone changes a customer segment.
CRM activation needs a second gate
After technical fields are written, any support or marketing action must recheck permission scope, opt-out state, customer relationship and message purpose. Telegram explains that unwanted messages to strangers may lead to account limitations. Number checking does not authorize bulk messaging.
Use the current Telegram Spam FAQ as the platform reference and keep internal permission evidence beside the activation rule.
Production acceptance test
- Sample TXT rows against the controlled source export.
- Confirm the task name and exact Excel headers.
- Calculate input uniques, returned records and successful joins.
- Verify that unknown states remain visible.
- Test that rerunning a batch does not create duplicate business actions.
- Confirm that prior observations can be traced and rolled back.
- Assign retention and deletion owners for transient files.
A mature TG checking system does not try to say more about every number. It ensures that every field can answer where it came from, when it was observed, why it exists, who may use it and when it expires.
