How to Use Viber Activity Checker for Bulk List Checks
A Viber activity check answers a question the registration check cannot: “is anyone actually using this number?” rather than merely “is this number on Viber?” Registration is the doorway, activity is the room behind it. Viber Activity Checker is the ZelNum page meant for this job: Viber Activity Checker.
Quick answer
Point the check at a CSV where every row holds one number and a record ID. The export comes back with a three-tier status: active on Viber, inactive on Viber, and not on Viber. Read active as reachable, inactive as a re-engagement or SMS candidate, and not-on-Viber as another channel entirely.
The three tiers
| Tier | What it means | Default action |
|---|---|---|
| Active on Viber | The account is in use. | Route to the Viber campaign. |
| Inactive on Viber | The account exists but has gone quiet. | Re-engage, or route to SMS. |
| Not on Viber | No account behind the number. | Route to another channel. |
The middle tier is where the activity check earns its keep. A registration check would call those rows “on Viber” and send them to the campaign. The activity check catches them before the budget is spent.
Step 1: Prepare the file
Each row holds a single phone number, a stable record ID, and — when the list spans markets — a country column. Keep the same structure you would use for a registration check, so the two checks can be joined on record ID.
Step 2: Run the check and read the tiers
The export gives each row a tier and a checked timestamp. Read the tiers as routing signals:
- Active rows go to the Viber workflow.
- Inactive rows go to re-engagement or an SMS path. An account that has not opened the app in ninety days is a number with a profile, not a person waiting for your message.
- Not on Viber rows go to the channel that can reach the number.
Step 3: Report the gap
The number that matters is not the on-Viber rate. It is the gap between on-Viber and actually active. Say the file comes back 63% on Viber but only 41% active. A list check that stopped at registration would have sent a fifth of the file to a campaign nobody would read. (A hypothetical run profile, included to show the mechanics.)
Report the active share and the inactive rate, not the registration number. That is the metric the campaign decision runs on.
Step 4: Schedule the re-check
Activity is the most perishable signal in the stack. A format stays a format; activity cools. Quarterly re-checks keep the tiers honest, and a re-check before any big campaign is cheap insurance.
Mistakes to avoid
- Treating “on Viber” as “will reply.” Registration is not engagement, and the campaign runs on engagement.
- Sending the inactive tier to the campaign. They are a re-engagement list, not a send list.
- Deleting the inactive rows. Inactive is not dead. It is a win-back list waiting for a different message.
FAQ
What is the difference between on Viber and active on Viber?
On Viber means the number is tied to an account. Active means the account is in use. The campaign needs the second signal, and the activity check provides it.
What should I do with inactive rows?
Route them to re-engagement or SMS. They are not lost, they are quiet, and a different message or channel can still reach them.
How often should I re-check activity?
Quarterly is a reasonable baseline, and re-check before any big campaign. Activity drifts faster than registration, so the schedule matters more here.
What does “inactive” actually mean?
It means the account has not shown activity within the check window. An account that has not opened the app in ninety days is effectively a number with a profile.
Can I use the activity export for risk review?
Carefully. Activity says the account is in use at check time. It does not establish ownership or account standing, which live in the platform’s own data.
Related ZelNum pages
- Viber Activity Checker API Workflow when timing matters.
- Bulk Viber Activity Checker: CSV upload walkthrough walks the file structure details.
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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