Bulk CoinW Email Checker: CSV Upload and Result Export Guide

Most CoinW email lists are not one list. They are five campaign forms, two partner programs, and a giveaway export merged into one file — and each source had its own collection standard, its own typo rate, and its own idea of what a valid email looks like. A bulk check against CoinW registration signals is how that merged file becomes workable again, provided the results stay attached to their origins. The tool for it is the CoinW Email Checker, built around exactly that join: every result comes back keyed to campaign_id and submission_id, not as an anonymous list of addresses.

Quick answer

Prepare the CSV with the email column plus your campaign and row keys. Run the bulk check. Export gives you a registration and domain-risk status per row. Repair the risky-domain rows you can, suppress the ones you cannot, and let each campaign keep its own rules — a submission from a giveaway and a submission from a partner co-marketing deal should not be judged by the same threshold anyway.

Why the two-key structure matters

The single most common failure with merged campaign files is losing track of where a row came from. Someone runs a check, gets back a clean file of statuses, and now no one can answer "which campaign submitted this address?" without re-joining three exports by hand.

Two columns prevent that:

• campaign_id — which form or program produced the row. This is what lets campaign A run a strict risky-domain rule while campaign B runs a lenient one, without one file fighting the other.
• submission_id (or whatever row key the source uses) — which exact submission the row is. Duplicate addresses across campaigns are normal; the row key is what keeps them from collapsing into each other.

Keep both as text. Leading zeros in submission IDs are identifiers, not numbers to be optimized.

Preparing the CSV

Columns

Three things to do before upload

Strip whitespace and invisible characters. Form-collected emails pick up trailing spaces and the occasional full-width character from mobile keyboards. Both turn a checkable address into an invalid row.

Do not fix obvious typos yet. [email protected] should go in as-is. The domain-risk result will flag it, and you fix it once, in one pass, with the flag as your worklist. Fixing by eye before the check means the export no longer shows which rows were repaired.

Do not dedupe across campaigns. The same person submitting to two campaigns is two rows with two submission IDs, and both may be entitled to their own outcome. Dedupe in reporting if a number bothers you — after the check, not before.

Reading the export

Each row returns with its keys, the input email, and the check result. Say a team checks 8,500 rows across six campaigns. Something like 73% come back registered with a clean domain, 14% risky domain, 9% unknown, 4% invalid. (Illustrative split, not a product claim — merged multi-campaign files usually run dirtier than single-source lists.)

How to work each slice:

• Risky domain (14%) — the repair queue. Sort by domain first. Typo variants of major providers (gmial, hotmial, yaho) cluster, and a find-and-replace per domain clears most of the slice in minutes. Throwaway domains are a different story: those rows get suppressed or sent back to re-confirm, depending on what the campaign promised.
• Invalid (4%) — the replacement queue. These addresses cannot be repaired by guessing. Route back to the submitter where the campaign has a channel for it; suppress where it does not.
• Unknown (9%) — retry, don't decide. No signal this round. A second pass after a few days settles most of these.
• Registered and clean (73%) — proceed, log the timestamp. The checked_at column is what makes the next run comparable. Keep it attached to the row forever.

Per-campaign rules, one file

This is where the two-key structure pays off. With results joined back to campaign_id, each campaign owner reads the same export by their own standard:

One merged file, three different verdicts per row, no re-running the check three times with three different files.

Mistakes to avoid

• Treating "registered" as "reachable." The address shows a registration signal; the inbox may still be abandoned or full. For notification-critical rows, the domain-risk read matters as much as registration.
• Dropping the domain-risk column in the export. It is the field that catches typo and throwaway domains — the rows that pass every format check and fail anyway.
• Fixing emails by eye before the check. You lose the audit trail and create a file whose cleanliness depends on one person's afternoon.
• Treating the export as permanent. Re-check quarterly, and before any payout or security review that leans on the list.

FAQ

Why keep raw, typo-filled emails in the file?

Because the raw value shows where the data came from and what the intake form let through. Repair in a new column if you must; never overwrite the source value.

Can I run one strict rule across all campaigns?

You can, and it will be wrong for at least one of them. A giveaway and a partner program have different stakes and different thresholds — that is what campaign_id is for.

What is a notification registry?

The subset of addresses that must receive withdrawal and risk notices. Its health is notification-readiness, and it deserves a harsher threshold than marketing files.

How often should I re-check?

Quarterly checks are the floor, plus before any payout cycle or security review.

Can this export support an audit?

Yes. Status, domain-risk, and timestamps, joined to campaign and submission keys, is the record an auditor asks for — and it is all in one file.

Related ZelNum pages

• CoinW Email Checker Use Cases breaks down how different teams read the export.
• CoinW Email Checker API Workflow for scheduled checks.
• CoinW Email Checker — the bulk tool this guide covers.
• How to Use CoinW Email Checker walking through the interface.