Bulk LINE Number Checker: CSV Upload and Result Export Guide
A LINE file answers a different question than a normal phone list. It answers "how far is this record from an official-account subscription?" and that question needs two keys: the market and the segment. Drop either, and the file becomes numbers with no campaign shape. Bulk LINE Number Checker is the ZelNum page assigned to this job: LINE Number Checker.
Quick answer
Each CSV row carries one number, a record ID, a market column, and a segment column. Run the check, export with the on-LINE status per row, and read by market and segment. The market decides whether the on-LINE signal is worth anything; the segment decides whether the row goes through the OA invitation flow or plain outreach.
The two keys
| Key | What it decides |
|---|---|
| Market | Whether on-LINE means anything. Japan is strong, Indonesia is thin. |
| Segment | Whether the row is an OA invitation candidate or a general contact. |
A paying customer in Japan who is on LINE is the best row in the file. A trial user in a thin market who is on LINE is a different decision. The two keys together give the row its shape.
Japan number format traps
Japan dominates any healthy LINE file, and Japanese numbers have their own failure modes. Fix them before the upload:
- The leading-zero trap again. Japanese mobile numbers are written
090-1234-5678. A spreadsheet that eats the zero leaves a fragment that cannot normalize. Import as text or store E.164 (+819012345678). - The trunk prefix. Converting
090...to+8190...means dropping the leading zero, not keeping it after the country code. Files that concatenate+81onto the raw local form produce+81090..., which is wrong and will land in the invalid bucket. - Landline-heavy legacy exports. Older B2B files from Japan skew toward fixed lines, and fixed lines do not carry LINE accounts at the same rate. If a Japan slice comes back far below expectations, check the line-type mix before blaming the market.
CSV setup
| Column | Purpose |
|---|---|
record_id |
Reconnects each result to its source row. Keep it as text. |
input_number |
The original value, unchanged. |
market |
Japan / Taiwan / Thailand / Indonesia / other. |
segment |
Trial / paying / support / other. |
on_line |
The channel signal the check produces. |
checked_at |
The timestamp that makes re-checks comparable. |
One number per row, no merged cells, no notes columns inside the list.
Reading the export
An aggregated run over a mixed file comes back with distinct shapes per market:
| Market | On-LINE share | Read |
|---|---|---|
| Japan | 86% | The OA campaign lives here. |
| Taiwan | 79% | Strong secondary market, OA-first. |
| Thailand | 63% | Mixed, route by segment. |
| Indonesia | 38% | Thin, route to SMS. |
(Treat the numbers shown as worked samples, not benchmark results.)
Within each market, the segment column splits the on-LINE rows into OA-invitation candidates (paying) and general outreach (trial and support).
The support-channel column most teams forget
There is a third use for the on-LINE flag that has nothing to do with campaigns: support channel planning. A support team that operates a LINE official account needs to know which clients can actually be reached on it. Write the on-LINE result back to the CRM as a routing field, and the ticket system stops guessing — Japan contacts with on-LINE status get the LINE thread, everyone else gets email or SMS. LINE's reach swings more by country than any other messenger in this stack, so a blended support policy produces two opposite failures at once: wasted send volume in thin markets and unreachable clients in strong ones.
Routing the export
- On LINE + paying segment + strong market → the OA invitation flow.
- On LINE + trial segment → nurture or general LINE messaging.
- On LINE + support segment → write back to the CRM as the support routing field.
- Valid, not on LINE → SMS fallback.
- Invalid → repair or suppress.
- Unknown → retry.
Mistakes to avoid
- Dropping the market or segment column to keep the file tidy. Those are the keys that give the file its campaign shape.
- Treating "on LINE" as "subscribed." The export counts accounts; the invitation flow converts them to OA subscribers.
- Reading the file as one market. A flat percentage hides the Japan/Indonesia split that decides where the campaign runs.
- Building
+81numbers by concatenation. Drop the trunk zero; the checker cannot fix a malformed country code for you.
FAQ
Why does LINE need two keys in the CSV?
Because the on-LINE signal is read two ways: the market decides whether it means anything, and the segment decides what to do with the row. One key cannot carry both.
What is the difference between market and segment?
Market is geography (Japan vs Indonesia). Segment is relationship (trial vs paying). Together they determine the value and the action for each row.
Can I export the on-LINE status for OA invitations?
Yes, and that is the main use. The on-LINE rows in the paying segment of strong markets are the OA invitation list.
Should the on-LINE flag feed the support system too?
Yes. Writing the status back as a CRM routing field keeps the LINE support channel pointed at clients who can actually receive it.
How often should I re-check?
Treat quarterly as the default, plus a re-check before any big OA campaign. On-LINE status drifts as accounts go dormant.
Should I merge duplicates before uploading?
No. Keep them in and let the checker report on each row. The duplicate count is data.
Related ZelNum pages
- LINE Number Checker API Workflow when timing matters.
- How to Use LINE Number Checker for Bulk List Checks walks through the step-by-step workflow.
- LINE Number Checker Use Cases covers the use-case side.
Ethan works on phone-number normalization, E.164 formatting, country-code rules, carrier metadata, and line-type detection. His editorial work turns verification signals into practical workflows for CRM cleaning, SMS preparation, lead review, and bulk data operations.
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